02-Make a GWAS anndata.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Make an AnnData using OTG and GWAS catalog datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from pathlib import Path\n",
    "from tqdm.auto import tqdm\n",
    "import gc\n",
    "import json\n",
    "import numpy as np\n",
    "import scipy as sp\n",
    "import scipy.sparse as spp\n",
    "import scanpy as sc\n",
    "from pandas.io.json import json_normalize"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.set_option('display.max_columns', None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Read OTG and GWAS catalog datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "otg = pd.read_pickle('data/info.pkl').reset_index()\n",
    "otg = otg[otg.studyId != 'GCST006585'].copy() ## exclude protein levels\n",
    "otg['uniq_index'] = otg.studyId.astype(str) + '_' + otg.traitReported.astype(str)\n",
    "otg.rename(columns={'source': 'source_otg'}, inplace=True)\n",
    "\n",
    "gwas_cat = pd.read_pickle('data/gwas_catalog_aug_14_2021_nonOTG_traits.pkl').reset_index()\n",
    "gwas_cat['uniq_index'] = gwas_cat['STUDY ACCESSION'].astype(str) + '_' + gwas_cat['DISEASE/TRAIT'].astype(str) + '_' + gwas_cat['MAPPED_TRAIT'].astype(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>studyId</th>\n",
       "      <th>traitReported</th>\n",
       "      <th>source_otg</th>\n",
       "      <th>traitEfos</th>\n",
       "      <th>pmid</th>\n",
       "      <th>pubDate</th>\n",
       "      <th>pubJournal</th>\n",
       "      <th>pubTitle</th>\n",
       "      <th>pubAuthor</th>\n",
       "      <th>hasSumstats</th>\n",
       "      <th>ancestryInitial</th>\n",
       "      <th>ancestryReplication</th>\n",
       "      <th>nInitial</th>\n",
       "      <th>nReplication</th>\n",
       "      <th>nCases</th>\n",
       "      <th>traitCategory</th>\n",
       "      <th>numAssocLoci</th>\n",
       "      <th>nTotal</th>\n",
       "      <th>bestLocus2GenesOrClosest_id</th>\n",
       "      <th>bestLocus2GenesOrClosest_symbol</th>\n",
       "      <th>variant_gene_id_pairs</th>\n",
       "      <th>variant_gene_symbol_pairs</th>\n",
       "      <th>uniq_index</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>FINNGEN_R5_AB1_BACTINF_NOS</td>\n",
       "      <td>Bacterial infection, other or unspecified</td>\n",
       "      <td>FINNGEN</td>\n",
       "      <td>[EFO_0000771]</td>\n",
       "      <td>None</td>\n",
       "      <td>2021-05-11</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>FINNGEN_R5</td>\n",
       "      <td>True</td>\n",
       "      <td>[European=218637]</td>\n",
       "      <td>[]</td>\n",
       "      <td>218637</td>\n",
       "      <td>0</td>\n",
       "      <td>20977</td>\n",
       "      <td>infectious disease</td>\n",
       "      <td>2</td>\n",
       "      <td>218637</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>FINNGEN_R5_AB1_BACTINF_NOS_Bacterial infection...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>FINNGEN_R5_AB1_DERMATOPHYTOSIS</td>\n",
       "      <td>Dermatophytosis</td>\n",
       "      <td>FINNGEN</td>\n",
       "      <td>[MONDO_0004678]</td>\n",
       "      <td>None</td>\n",
       "      <td>2021-05-11</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>FINNGEN_R5</td>\n",
       "      <td>True</td>\n",
       "      <td>[European=216472]</td>\n",
       "      <td>[]</td>\n",
       "      <td>216472</td>\n",
       "      <td>0</td>\n",
       "      <td>1656</td>\n",
       "      <td>infectious disease</td>\n",
       "      <td>1</td>\n",
       "      <td>216472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>FINNGEN_R5_AB1_DERMATOPHYTOSIS_Dermatophytosis</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>FINNGEN_R5_AB1_EBV</td>\n",
       "      <td>Infectious mononucleosis</td>\n",
       "      <td>FINNGEN</td>\n",
       "      <td>[EFO_0007326]</td>\n",
       "      <td>None</td>\n",
       "      <td>2021-05-11</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>FINNGEN_R5</td>\n",
       "      <td>True</td>\n",
       "      <td>[European=214904]</td>\n",
       "      <td>[]</td>\n",
       "      <td>214904</td>\n",
       "      <td>0</td>\n",
       "      <td>1238</td>\n",
       "      <td>infectious disease</td>\n",
       "      <td>1</td>\n",
       "      <td>214904</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>FINNGEN_R5_AB1_EBV_Infectious mononucleosis</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>FINNGEN_R5_AB1_GASTROENTERITIS_NOS</td>\n",
       "      <td>Diarrhoea and gastroenteritis of presumed infe...</td>\n",
       "      <td>FINNGEN</td>\n",
       "      <td>[MONDO_0045031]</td>\n",
       "      <td>None</td>\n",
       "      <td>2021-05-11</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>FINNGEN_R5</td>\n",
       "      <td>True</td>\n",
       "      <td>[European=212553]</td>\n",
       "      <td>[]</td>\n",
       "      <td>212553</td>\n",
       "      <td>0</td>\n",
       "      <td>15255</td>\n",
       "      <td>infectious disease</td>\n",
       "      <td>1</td>\n",
       "      <td>212553</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>FINNGEN_R5_AB1_GASTROENTERITIS_NOS_Diarrhoea a...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>FINNGEN_R5_AB1_GHLAMY_OTHER</td>\n",
       "      <td>Other diseases caused by chlamydiae</td>\n",
       "      <td>FINNGEN</td>\n",
       "      <td>[EFO_1001288]</td>\n",
       "      <td>None</td>\n",
       "      <td>2021-05-11</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>FINNGEN_R5</td>\n",
       "      <td>True</td>\n",
       "      <td>[European=218772]</td>\n",
       "      <td>[]</td>\n",
       "      <td>218772</td>\n",
       "      <td>0</td>\n",
       "      <td>167</td>\n",
       "      <td>infectious disease</td>\n",
       "      <td>1</td>\n",
       "      <td>218772</td>\n",
       "      <td>(ENSG00000112818, ENSG00000069122)</td>\n",
       "      <td>(MEP1A, ADGRF5)</td>\n",
       "      <td>(((ENSG00000112818, ENSG00000069122), 6_468771...</td>\n",
       "      <td>(((MEP1A, ADGRF5), 6_46877116_T_G),)</td>\n",
       "      <td>FINNGEN_R5_AB1_GHLAMY_OTHER_Other diseases cau...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              studyId  \\\n",
       "0          FINNGEN_R5_AB1_BACTINF_NOS   \n",
       "1      FINNGEN_R5_AB1_DERMATOPHYTOSIS   \n",
       "2                  FINNGEN_R5_AB1_EBV   \n",
       "3  FINNGEN_R5_AB1_GASTROENTERITIS_NOS   \n",
       "4         FINNGEN_R5_AB1_GHLAMY_OTHER   \n",
       "\n",
       "                                       traitReported source_otg  \\\n",
       "0          Bacterial infection, other or unspecified    FINNGEN   \n",
       "1                                    Dermatophytosis    FINNGEN   \n",
       "2                           Infectious mononucleosis    FINNGEN   \n",
       "3  Diarrhoea and gastroenteritis of presumed infe...    FINNGEN   \n",
       "4                Other diseases caused by chlamydiae    FINNGEN   \n",
       "\n",
       "         traitEfos  pmid     pubDate pubJournal pubTitle   pubAuthor  \\\n",
       "0    [EFO_0000771]  None  2021-05-11       None     None  FINNGEN_R5   \n",
       "1  [MONDO_0004678]  None  2021-05-11       None     None  FINNGEN_R5   \n",
       "2    [EFO_0007326]  None  2021-05-11       None     None  FINNGEN_R5   \n",
       "3  [MONDO_0045031]  None  2021-05-11       None     None  FINNGEN_R5   \n",
       "4    [EFO_1001288]  None  2021-05-11       None     None  FINNGEN_R5   \n",
       "\n",
       "   hasSumstats    ancestryInitial ancestryReplication  nInitial nReplication  \\\n",
       "0         True  [European=218637]                  []    218637            0   \n",
       "1         True  [European=216472]                  []    216472            0   \n",
       "2         True  [European=214904]                  []    214904            0   \n",
       "3         True  [European=212553]                  []    212553            0   \n",
       "4         True  [European=218772]                  []    218772            0   \n",
       "\n",
       "  nCases       traitCategory  numAssocLoci  nTotal  \\\n",
       "0  20977  infectious disease             2  218637   \n",
       "1   1656  infectious disease             1  216472   \n",
       "2   1238  infectious disease             1  214904   \n",
       "3  15255  infectious disease             1  212553   \n",
       "4    167  infectious disease             1  218772   \n",
       "\n",
       "          bestLocus2GenesOrClosest_id bestLocus2GenesOrClosest_symbol  \\\n",
       "0                                 NaN                             NaN   \n",
       "1                                 NaN                             NaN   \n",
       "2                                 NaN                             NaN   \n",
       "3                                 NaN                             NaN   \n",
       "4  (ENSG00000112818, ENSG00000069122)                 (MEP1A, ADGRF5)   \n",
       "\n",
       "                               variant_gene_id_pairs  \\\n",
       "0                                                NaN   \n",
       "1                                                NaN   \n",
       "2                                                NaN   \n",
       "3                                                NaN   \n",
       "4  (((ENSG00000112818, ENSG00000069122), 6_468771...   \n",
       "\n",
       "              variant_gene_symbol_pairs  \\\n",
       "0                                   NaN   \n",
       "1                                   NaN   \n",
       "2                                   NaN   \n",
       "3                                   NaN   \n",
       "4  (((MEP1A, ADGRF5), 6_46877116_T_G),)   \n",
       "\n",
       "                                          uniq_index  \n",
       "0  FINNGEN_R5_AB1_BACTINF_NOS_Bacterial infection...  \n",
       "1     FINNGEN_R5_AB1_DERMATOPHYTOSIS_Dermatophytosis  \n",
       "2        FINNGEN_R5_AB1_EBV_Infectious mononucleosis  \n",
       "3  FINNGEN_R5_AB1_GASTROENTERITIS_NOS_Diarrhoea a...  \n",
       "4  FINNGEN_R5_AB1_GHLAMY_OTHER_Other diseases cau...  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "otg.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## OTG and GWAS catalog process studies with multiple traits differently"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>traitReported</th>\n",
       "      <th>pmid</th>\n",
       "      <th>studyId</th>\n",
       "      <th>uniq_index</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Bacterial infection, other or unspecified</td>\n",
       "      <td>None</td>\n",
       "      <td>FINNGEN_R5_AB1_BACTINF_NOS</td>\n",
       "      <td>FINNGEN_R5_AB1_BACTINF_NOS_Bacterial infection...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Dermatophytosis</td>\n",
       "      <td>None</td>\n",
       "      <td>FINNGEN_R5_AB1_DERMATOPHYTOSIS</td>\n",
       "      <td>FINNGEN_R5_AB1_DERMATOPHYTOSIS_Dermatophytosis</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Infectious mononucleosis</td>\n",
       "      <td>None</td>\n",
       "      <td>FINNGEN_R5_AB1_EBV</td>\n",
       "      <td>FINNGEN_R5_AB1_EBV_Infectious mononucleosis</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Diarrhoea and gastroenteritis of presumed infe...</td>\n",
       "      <td>None</td>\n",
       "      <td>FINNGEN_R5_AB1_GASTROENTERITIS_NOS</td>\n",
       "      <td>FINNGEN_R5_AB1_GASTROENTERITIS_NOS_Diarrhoea a...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Other diseases caused by chlamydiae</td>\n",
       "      <td>None</td>\n",
       "      <td>FINNGEN_R5_AB1_GHLAMY_OTHER</td>\n",
       "      <td>FINNGEN_R5_AB1_GHLAMY_OTHER_Other diseases cau...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Malaria</td>\n",
       "      <td>None</td>\n",
       "      <td>FINNGEN_R5_AB1_MALARIA</td>\n",
       "      <td>FINNGEN_R5_AB1_MALARIA_Malaria</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Measles</td>\n",
       "      <td>None</td>\n",
       "      <td>FINNGEN_R5_AB1_MEASLES</td>\n",
       "      <td>FINNGEN_R5_AB1_MEASLES_Measles</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Other bacterial diseases</td>\n",
       "      <td>None</td>\n",
       "      <td>FINNGEN_R5_AB1_OTHER_BACTERIAL</td>\n",
       "      <td>FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Other diseases caused by chlamydiae</td>\n",
       "      <td>None</td>\n",
       "      <td>FINNGEN_R5_AB1_OTHER_CHLAMYDIAE</td>\n",
       "      <td>FINNGEN_R5_AB1_OTHER_CHLAMYDIAE_Other diseases...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Other spirochaetal diseases</td>\n",
       "      <td>None</td>\n",
       "      <td>FINNGEN_R5_AB1_OTHER_SPIROCHAETAL</td>\n",
       "      <td>FINNGEN_R5_AB1_OTHER_SPIROCHAETAL_Other spiroc...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       traitReported  pmid  \\\n",
       "0          Bacterial infection, other or unspecified  None   \n",
       "1                                    Dermatophytosis  None   \n",
       "2                           Infectious mononucleosis  None   \n",
       "3  Diarrhoea and gastroenteritis of presumed infe...  None   \n",
       "4                Other diseases caused by chlamydiae  None   \n",
       "5                                            Malaria  None   \n",
       "6                                            Measles  None   \n",
       "7                           Other bacterial diseases  None   \n",
       "8                Other diseases caused by chlamydiae  None   \n",
       "9                        Other spirochaetal diseases  None   \n",
       "\n",
       "                              studyId  \\\n",
       "0          FINNGEN_R5_AB1_BACTINF_NOS   \n",
       "1      FINNGEN_R5_AB1_DERMATOPHYTOSIS   \n",
       "2                  FINNGEN_R5_AB1_EBV   \n",
       "3  FINNGEN_R5_AB1_GASTROENTERITIS_NOS   \n",
       "4         FINNGEN_R5_AB1_GHLAMY_OTHER   \n",
       "5              FINNGEN_R5_AB1_MALARIA   \n",
       "6              FINNGEN_R5_AB1_MEASLES   \n",
       "7      FINNGEN_R5_AB1_OTHER_BACTERIAL   \n",
       "8     FINNGEN_R5_AB1_OTHER_CHLAMYDIAE   \n",
       "9   FINNGEN_R5_AB1_OTHER_SPIROCHAETAL   \n",
       "\n",
       "                                          uniq_index  \n",
       "0  FINNGEN_R5_AB1_BACTINF_NOS_Bacterial infection...  \n",
       "1     FINNGEN_R5_AB1_DERMATOPHYTOSIS_Dermatophytosis  \n",
       "2        FINNGEN_R5_AB1_EBV_Infectious mononucleosis  \n",
       "3  FINNGEN_R5_AB1_GASTROENTERITIS_NOS_Diarrhoea a...  \n",
       "4  FINNGEN_R5_AB1_GHLAMY_OTHER_Other diseases cau...  \n",
       "5                     FINNGEN_R5_AB1_MALARIA_Malaria  \n",
       "6                     FINNGEN_R5_AB1_MEASLES_Measles  \n",
       "7  FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial...  \n",
       "8  FINNGEN_R5_AB1_OTHER_CHLAMYDIAE_Other diseases...  \n",
       "9  FINNGEN_R5_AB1_OTHER_SPIROCHAETAL_Other spiroc...  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = otg[['traitReported', 'pmid', 'studyId', 'uniq_index']].drop_duplicates()\n",
    "df[df.pmid.duplicated(keep=False)].head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DISEASE/TRAIT</th>\n",
       "      <th>MAPPED_TRAIT</th>\n",
       "      <th>PUBMEDID</th>\n",
       "      <th>uniq_index</th>\n",
       "      <th>STUDY ACCESSION</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Select biomarker traits</td>\n",
       "      <td>C-reactive protein measurement</td>\n",
       "      <td>17903293</td>\n",
       "      <td>GCST000083_Select biomarker traits_C-reactive ...</td>\n",
       "      <td>GCST000083</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Select biomarker traits</td>\n",
       "      <td>CCL2 measurement</td>\n",
       "      <td>17903293</td>\n",
       "      <td>GCST000083_Select biomarker traits_CCL2 measur...</td>\n",
       "      <td>GCST000083</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Waist circumference and related phenotypes</td>\n",
       "      <td>High density lipoprotein cholesterol measurement</td>\n",
       "      <td>18454146</td>\n",
       "      <td>GCST000184_Waist circumference and related phe...</td>\n",
       "      <td>GCST000184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Waist circumference and related phenotypes</td>\n",
       "      <td>Triglyceride measurement</td>\n",
       "      <td>18454146</td>\n",
       "      <td>GCST000184_Waist circumference and related phe...</td>\n",
       "      <td>GCST000184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Protein quantitative trait loci</td>\n",
       "      <td>Interleukin 18 measurement</td>\n",
       "      <td>18464913</td>\n",
       "      <td>GCST000189_Protein quantitative trait loci_Int...</td>\n",
       "      <td>GCST000189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Protein quantitative trait loci</td>\n",
       "      <td>Interleukin-6 receptor measurement</td>\n",
       "      <td>18464913</td>\n",
       "      <td>GCST000189_Protein quantitative trait loci_Int...</td>\n",
       "      <td>GCST000189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Protein quantitative trait loci</td>\n",
       "      <td>Soluble transferrin receptor measurement</td>\n",
       "      <td>18464913</td>\n",
       "      <td>GCST000189_Protein quantitative trait loci_Sol...</td>\n",
       "      <td>GCST000189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Protein quantitative trait loci</td>\n",
       "      <td>Tumor necrosis factor-alpha measurement</td>\n",
       "      <td>18464913</td>\n",
       "      <td>GCST000189_Protein quantitative trait loci_Tum...</td>\n",
       "      <td>GCST000189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Liver enzyme levels</td>\n",
       "      <td>Alkaline phosphatase measurement, liver enzyme...</td>\n",
       "      <td>18940312</td>\n",
       "      <td>GCST000248_Liver enzyme levels_Alkaline phosph...</td>\n",
       "      <td>GCST000248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Liver enzyme levels</td>\n",
       "      <td>Liver enzyme measurement, serum alanine aminot...</td>\n",
       "      <td>18940312</td>\n",
       "      <td>GCST000248_Liver enzyme levels_Liver enzyme me...</td>\n",
       "      <td>GCST000248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Liver enzyme levels</td>\n",
       "      <td>Liver enzyme measurement, serum gamma-glutamyl...</td>\n",
       "      <td>18940312</td>\n",
       "      <td>GCST000248_Liver enzyme levels_Liver enzyme me...</td>\n",
       "      <td>GCST000248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Metabolite levels</td>\n",
       "      <td>Phospholipid measurement</td>\n",
       "      <td>19043545</td>\n",
       "      <td>GCST000274_Metabolite levels_Phospholipid meas...</td>\n",
       "      <td>GCST000274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Metabolite levels</td>\n",
       "      <td>Sphingolipid measurement</td>\n",
       "      <td>19043545</td>\n",
       "      <td>GCST000274_Metabolite levels_Sphingolipid meas...</td>\n",
       "      <td>GCST000274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Metabolic traits</td>\n",
       "      <td>Glucose measurement</td>\n",
       "      <td>19060910</td>\n",
       "      <td>GCST000292_Metabolic traits_Glucose measurement</td>\n",
       "      <td>GCST000292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Metabolic traits</td>\n",
       "      <td>Inflammatory response</td>\n",
       "      <td>19060910</td>\n",
       "      <td>GCST000292_Metabolic traits_Inflammatory response</td>\n",
       "      <td>GCST000292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Metabolic traits</td>\n",
       "      <td>Triglyceride measurement</td>\n",
       "      <td>19060910</td>\n",
       "      <td>GCST000292_Metabolic traits_Triglyceride measu...</td>\n",
       "      <td>GCST000292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Folate pathway vitamin levels</td>\n",
       "      <td>Vitamin B12 measurement</td>\n",
       "      <td>19303062</td>\n",
       "      <td>GCST000358_Folate pathway vitamin levels_Vitam...</td>\n",
       "      <td>GCST000358</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Folate pathway vitamin levels</td>\n",
       "      <td>Vitamin B6 measurement</td>\n",
       "      <td>19303062</td>\n",
       "      <td>GCST000358_Folate pathway vitamin levels_Vitam...</td>\n",
       "      <td>GCST000358</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Hematological parameters</td>\n",
       "      <td>Erythrocyte count</td>\n",
       "      <td>19820697</td>\n",
       "      <td>GCST000498_Hematological parameters_Erythrocyt...</td>\n",
       "      <td>GCST000498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Hematological parameters</td>\n",
       "      <td>Leukocyte count</td>\n",
       "      <td>19820697</td>\n",
       "      <td>GCST000498_Hematological parameters_Leukocyte ...</td>\n",
       "      <td>GCST000498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Hematological parameters</td>\n",
       "      <td>Mean corpuscular hemoglobin</td>\n",
       "      <td>19820697</td>\n",
       "      <td>GCST000498_Hematological parameters_Mean corpu...</td>\n",
       "      <td>GCST000498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Hematological parameters</td>\n",
       "      <td>Mean corpuscular volume</td>\n",
       "      <td>19820697</td>\n",
       "      <td>GCST000498_Hematological parameters_Mean corpu...</td>\n",
       "      <td>GCST000498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Hematological parameters</td>\n",
       "      <td>Platelet count</td>\n",
       "      <td>19820697</td>\n",
       "      <td>GCST000498_Hematological parameters_Platelet c...</td>\n",
       "      <td>GCST000498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Other erythrocyte phenotypes</td>\n",
       "      <td>Erythrocyte count</td>\n",
       "      <td>19862010</td>\n",
       "      <td>GCST000500_Other erythrocyte phenotypes_Erythr...</td>\n",
       "      <td>GCST000500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Other erythrocyte phenotypes</td>\n",
       "      <td>Mean corpuscular hemoglobin concentration</td>\n",
       "      <td>19862010</td>\n",
       "      <td>GCST000500_Other erythrocyte phenotypes_Mean c...</td>\n",
       "      <td>GCST000500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Pulmonary function</td>\n",
       "      <td>Pulmonary function measurement, FEV/FEC ratio</td>\n",
       "      <td>20010835</td>\n",
       "      <td>GCST000542_Pulmonary function_Pulmonary functi...</td>\n",
       "      <td>GCST000542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Pulmonary function</td>\n",
       "      <td>Pulmonary function measurement, forced expirat...</td>\n",
       "      <td>20010835</td>\n",
       "      <td>GCST000542_Pulmonary function_Pulmonary functi...</td>\n",
       "      <td>GCST000542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Pulmonary function</td>\n",
       "      <td>Pulmonary function measurement, FEV/FEC ratio</td>\n",
       "      <td>20010834</td>\n",
       "      <td>GCST000544_Pulmonary function_Pulmonary functi...</td>\n",
       "      <td>GCST000544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Pulmonary function</td>\n",
       "      <td>Pulmonary function measurement, forced expirat...</td>\n",
       "      <td>20010834</td>\n",
       "      <td>GCST000544_Pulmonary function_Pulmonary functi...</td>\n",
       "      <td>GCST000544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Electrocardiographic traits</td>\n",
       "      <td>Heart rate</td>\n",
       "      <td>20062063</td>\n",
       "      <td>GCST000561_Electrocardiographic traits_Heart rate</td>\n",
       "      <td>GCST000561</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 DISEASE/TRAIT  \\\n",
       "0                      Select biomarker traits   \n",
       "1                      Select biomarker traits   \n",
       "2   Waist circumference and related phenotypes   \n",
       "3   Waist circumference and related phenotypes   \n",
       "4              Protein quantitative trait loci   \n",
       "5              Protein quantitative trait loci   \n",
       "6              Protein quantitative trait loci   \n",
       "7              Protein quantitative trait loci   \n",
       "8                          Liver enzyme levels   \n",
       "9                          Liver enzyme levels   \n",
       "10                         Liver enzyme levels   \n",
       "11                           Metabolite levels   \n",
       "12                           Metabolite levels   \n",
       "13                            Metabolic traits   \n",
       "14                            Metabolic traits   \n",
       "15                            Metabolic traits   \n",
       "20               Folate pathway vitamin levels   \n",
       "21               Folate pathway vitamin levels   \n",
       "24                    Hematological parameters   \n",
       "25                    Hematological parameters   \n",
       "26                    Hematological parameters   \n",
       "27                    Hematological parameters   \n",
       "28                    Hematological parameters   \n",
       "29                Other erythrocyte phenotypes   \n",
       "30                Other erythrocyte phenotypes   \n",
       "32                          Pulmonary function   \n",
       "33                          Pulmonary function   \n",
       "34                          Pulmonary function   \n",
       "35                          Pulmonary function   \n",
       "37                 Electrocardiographic traits   \n",
       "\n",
       "                                         MAPPED_TRAIT  PUBMEDID  \\\n",
       "0                      C-reactive protein measurement  17903293   \n",
       "1                                    CCL2 measurement  17903293   \n",
       "2    High density lipoprotein cholesterol measurement  18454146   \n",
       "3                            Triglyceride measurement  18454146   \n",
       "4                          Interleukin 18 measurement  18464913   \n",
       "5                  Interleukin-6 receptor measurement  18464913   \n",
       "6            Soluble transferrin receptor measurement  18464913   \n",
       "7             Tumor necrosis factor-alpha measurement  18464913   \n",
       "8   Alkaline phosphatase measurement, liver enzyme...  18940312   \n",
       "9   Liver enzyme measurement, serum alanine aminot...  18940312   \n",
       "10  Liver enzyme measurement, serum gamma-glutamyl...  18940312   \n",
       "11                           Phospholipid measurement  19043545   \n",
       "12                           Sphingolipid measurement  19043545   \n",
       "13                                Glucose measurement  19060910   \n",
       "14                              Inflammatory response  19060910   \n",
       "15                           Triglyceride measurement  19060910   \n",
       "20                            Vitamin B12 measurement  19303062   \n",
       "21                             Vitamin B6 measurement  19303062   \n",
       "24                                  Erythrocyte count  19820697   \n",
       "25                                    Leukocyte count  19820697   \n",
       "26                        Mean corpuscular hemoglobin  19820697   \n",
       "27                            Mean corpuscular volume  19820697   \n",
       "28                                     Platelet count  19820697   \n",
       "29                                  Erythrocyte count  19862010   \n",
       "30          Mean corpuscular hemoglobin concentration  19862010   \n",
       "32      Pulmonary function measurement, FEV/FEC ratio  20010835   \n",
       "33  Pulmonary function measurement, forced expirat...  20010835   \n",
       "34      Pulmonary function measurement, FEV/FEC ratio  20010834   \n",
       "35  Pulmonary function measurement, forced expirat...  20010834   \n",
       "37                                         Heart rate  20062063   \n",
       "\n",
       "                                           uniq_index STUDY ACCESSION  \n",
       "0   GCST000083_Select biomarker traits_C-reactive ...      GCST000083  \n",
       "1   GCST000083_Select biomarker traits_CCL2 measur...      GCST000083  \n",
       "2   GCST000184_Waist circumference and related phe...      GCST000184  \n",
       "3   GCST000184_Waist circumference and related phe...      GCST000184  \n",
       "4   GCST000189_Protein quantitative trait loci_Int...      GCST000189  \n",
       "5   GCST000189_Protein quantitative trait loci_Int...      GCST000189  \n",
       "6   GCST000189_Protein quantitative trait loci_Sol...      GCST000189  \n",
       "7   GCST000189_Protein quantitative trait loci_Tum...      GCST000189  \n",
       "8   GCST000248_Liver enzyme levels_Alkaline phosph...      GCST000248  \n",
       "9   GCST000248_Liver enzyme levels_Liver enzyme me...      GCST000248  \n",
       "10  GCST000248_Liver enzyme levels_Liver enzyme me...      GCST000248  \n",
       "11  GCST000274_Metabolite levels_Phospholipid meas...      GCST000274  \n",
       "12  GCST000274_Metabolite levels_Sphingolipid meas...      GCST000274  \n",
       "13    GCST000292_Metabolic traits_Glucose measurement      GCST000292  \n",
       "14  GCST000292_Metabolic traits_Inflammatory response      GCST000292  \n",
       "15  GCST000292_Metabolic traits_Triglyceride measu...      GCST000292  \n",
       "20  GCST000358_Folate pathway vitamin levels_Vitam...      GCST000358  \n",
       "21  GCST000358_Folate pathway vitamin levels_Vitam...      GCST000358  \n",
       "24  GCST000498_Hematological parameters_Erythrocyt...      GCST000498  \n",
       "25  GCST000498_Hematological parameters_Leukocyte ...      GCST000498  \n",
       "26  GCST000498_Hematological parameters_Mean corpu...      GCST000498  \n",
       "27  GCST000498_Hematological parameters_Mean corpu...      GCST000498  \n",
       "28  GCST000498_Hematological parameters_Platelet c...      GCST000498  \n",
       "29  GCST000500_Other erythrocyte phenotypes_Erythr...      GCST000500  \n",
       "30  GCST000500_Other erythrocyte phenotypes_Mean c...      GCST000500  \n",
       "32  GCST000542_Pulmonary function_Pulmonary functi...      GCST000542  \n",
       "33  GCST000542_Pulmonary function_Pulmonary functi...      GCST000542  \n",
       "34  GCST000544_Pulmonary function_Pulmonary functi...      GCST000544  \n",
       "35  GCST000544_Pulmonary function_Pulmonary functi...      GCST000544  \n",
       "37  GCST000561_Electrocardiographic traits_Heart rate      GCST000561  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = gwas_cat[['DISEASE/TRAIT', 'MAPPED_TRAIT', 'PUBMEDID', 'uniq_index', 'STUDY ACCESSION']].drop_duplicates()\n",
    "df[df['STUDY ACCESSION'].duplicated(keep=False)].head(30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>STUDY ACCESSION</th>\n",
       "      <th>DATE ADDED TO CATALOG</th>\n",
       "      <th>PUBMEDID</th>\n",
       "      <th>FIRST AUTHOR</th>\n",
       "      <th>DATE</th>\n",
       "      <th>JOURNAL</th>\n",
       "      <th>LINK</th>\n",
       "      <th>STUDY</th>\n",
       "      <th>DISEASE/TRAIT</th>\n",
       "      <th>MAPPED_TRAIT</th>\n",
       "      <th>INITIAL SAMPLE SIZE</th>\n",
       "      <th>ASSOCIATION COUNT</th>\n",
       "      <th>rsid</th>\n",
       "      <th>otg_variant_id</th>\n",
       "      <th>otg_v2g_gene_id</th>\n",
       "      <th>otg_v2g_gene_symbol</th>\n",
       "      <th>variant_V2G_id</th>\n",
       "      <th>variant_V2G_symbol</th>\n",
       "      <th>INITIAL_SAMPLE_SIZE_INT</th>\n",
       "      <th>ASSOCIATION COUNT MAPPED TRAIT</th>\n",
       "      <th>uniq_index</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>GCST000083</td>\n",
       "      <td>2008-09-11</td>\n",
       "      <td>17903293</td>\n",
       "      <td>Benjamin EJ</td>\n",
       "      <td>2007-09-19</td>\n",
       "      <td>BMC Med Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17903293</td>\n",
       "      <td>Genome-wide association with select biomarker ...</td>\n",
       "      <td>Select biomarker traits</td>\n",
       "      <td>C-reactive protein measurement</td>\n",
       "      <td>1,012 European ancestry individuals</td>\n",
       "      <td>21</td>\n",
       "      <td>(rs2794520,)</td>\n",
       "      <td>(1_159709026_C_T,)</td>\n",
       "      <td>(ENSG00000158716,)</td>\n",
       "      <td>(DUSP23,)</td>\n",
       "      <td>((ENSG00000158716, 1_159709026_C_T),)</td>\n",
       "      <td>((DUSP23, 1_159709026_C_T),)</td>\n",
       "      <td>1012</td>\n",
       "      <td>1</td>\n",
       "      <td>GCST000083_Select biomarker traits_C-reactive ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>GCST000083</td>\n",
       "      <td>2008-09-11</td>\n",
       "      <td>17903293</td>\n",
       "      <td>Benjamin EJ</td>\n",
       "      <td>2007-09-19</td>\n",
       "      <td>BMC Med Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17903293</td>\n",
       "      <td>Genome-wide association with select biomarker ...</td>\n",
       "      <td>Select biomarker traits</td>\n",
       "      <td>CCL2 measurement</td>\n",
       "      <td>1,012 European ancestry individuals</td>\n",
       "      <td>21</td>\n",
       "      <td>(rs2494250, rs4128725)</td>\n",
       "      <td>(1_159308461_G_C, 1_159436169_T_C)</td>\n",
       "      <td>(ENSG00000179639,)</td>\n",
       "      <td>(FCER1A,)</td>\n",
       "      <td>((ENSG00000179639, 1_159308461_G_C), (ENSG0000...</td>\n",
       "      <td>((FCER1A, 1_159308461_G_C), (FCER1A, 1_1594361...</td>\n",
       "      <td>1012</td>\n",
       "      <td>2</td>\n",
       "      <td>GCST000083_Select biomarker traits_CCL2 measur...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>GCST000184</td>\n",
       "      <td>2008-06-22</td>\n",
       "      <td>18454146</td>\n",
       "      <td>Chambers JC</td>\n",
       "      <td>2008-05-04</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18454146</td>\n",
       "      <td>Common genetic variation near MC4R is associat...</td>\n",
       "      <td>Waist circumference and related phenotypes</td>\n",
       "      <td>High density lipoprotein cholesterol measurement</td>\n",
       "      <td>2,684 Indian Asian ancestry male individuals</td>\n",
       "      <td>4</td>\n",
       "      <td>(rs3764261,)</td>\n",
       "      <td>(16_56959412_C_A,)</td>\n",
       "      <td>(ENSG00000140853,)</td>\n",
       "      <td>(NLRC5,)</td>\n",
       "      <td>((ENSG00000140853, 16_56959412_C_A),)</td>\n",
       "      <td>((NLRC5, 16_56959412_C_A),)</td>\n",
       "      <td>2684</td>\n",
       "      <td>1</td>\n",
       "      <td>GCST000184_Waist circumference and related phe...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>GCST000184</td>\n",
       "      <td>2008-06-22</td>\n",
       "      <td>18454146</td>\n",
       "      <td>Chambers JC</td>\n",
       "      <td>2008-05-04</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18454146</td>\n",
       "      <td>Common genetic variation near MC4R is associat...</td>\n",
       "      <td>Waist circumference and related phenotypes</td>\n",
       "      <td>Triglyceride measurement</td>\n",
       "      <td>2,684 Indian Asian ancestry male individuals</td>\n",
       "      <td>4</td>\n",
       "      <td>(rs1260326,)</td>\n",
       "      <td>(2_27508073_T_C,)</td>\n",
       "      <td>(ENSG00000084734,)</td>\n",
       "      <td>(GCKR,)</td>\n",
       "      <td>((ENSG00000084734, 2_27508073_T_C),)</td>\n",
       "      <td>((GCKR, 2_27508073_T_C),)</td>\n",
       "      <td>2684</td>\n",
       "      <td>1</td>\n",
       "      <td>GCST000184_Waist circumference and related phe...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>GCST000189</td>\n",
       "      <td>2008-06-22</td>\n",
       "      <td>18464913</td>\n",
       "      <td>Melzer D</td>\n",
       "      <td>2008-05-09</td>\n",
       "      <td>PLoS Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18464913</td>\n",
       "      <td>A genome-wide association study identifies pro...</td>\n",
       "      <td>Protein quantitative trait loci</td>\n",
       "      <td>Interleukin 18 measurement</td>\n",
       "      <td>1,200 European ancestry individuals</td>\n",
       "      <td>49</td>\n",
       "      <td>(rs2250417,)</td>\n",
       "      <td>(11_112214593_T_C,)</td>\n",
       "      <td>(ENSG00000197580,)</td>\n",
       "      <td>(BCO2,)</td>\n",
       "      <td>((ENSG00000197580, 11_112214593_T_C),)</td>\n",
       "      <td>((BCO2, 11_112214593_T_C),)</td>\n",
       "      <td>1200</td>\n",
       "      <td>1</td>\n",
       "      <td>GCST000189_Protein quantitative trait loci_Int...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  STUDY ACCESSION DATE ADDED TO CATALOG  PUBMEDID FIRST AUTHOR        DATE  \\\n",
       "0      GCST000083            2008-09-11  17903293  Benjamin EJ  2007-09-19   \n",
       "1      GCST000083            2008-09-11  17903293  Benjamin EJ  2007-09-19   \n",
       "2      GCST000184            2008-06-22  18454146  Chambers JC  2008-05-04   \n",
       "3      GCST000184            2008-06-22  18454146  Chambers JC  2008-05-04   \n",
       "4      GCST000189            2008-06-22  18464913     Melzer D  2008-05-09   \n",
       "\n",
       "         JOURNAL                                  LINK  \\\n",
       "0  BMC Med Genet  www.ncbi.nlm.nih.gov/pubmed/17903293   \n",
       "1  BMC Med Genet  www.ncbi.nlm.nih.gov/pubmed/17903293   \n",
       "2      Nat Genet  www.ncbi.nlm.nih.gov/pubmed/18454146   \n",
       "3      Nat Genet  www.ncbi.nlm.nih.gov/pubmed/18454146   \n",
       "4     PLoS Genet  www.ncbi.nlm.nih.gov/pubmed/18464913   \n",
       "\n",
       "                                               STUDY  \\\n",
       "0  Genome-wide association with select biomarker ...   \n",
       "1  Genome-wide association with select biomarker ...   \n",
       "2  Common genetic variation near MC4R is associat...   \n",
       "3  Common genetic variation near MC4R is associat...   \n",
       "4  A genome-wide association study identifies pro...   \n",
       "\n",
       "                                DISEASE/TRAIT  \\\n",
       "0                     Select biomarker traits   \n",
       "1                     Select biomarker traits   \n",
       "2  Waist circumference and related phenotypes   \n",
       "3  Waist circumference and related phenotypes   \n",
       "4             Protein quantitative trait loci   \n",
       "\n",
       "                                       MAPPED_TRAIT  \\\n",
       "0                    C-reactive protein measurement   \n",
       "1                                  CCL2 measurement   \n",
       "2  High density lipoprotein cholesterol measurement   \n",
       "3                          Triglyceride measurement   \n",
       "4                        Interleukin 18 measurement   \n",
       "\n",
       "                            INITIAL SAMPLE SIZE  ASSOCIATION COUNT  \\\n",
       "0           1,012 European ancestry individuals                 21   \n",
       "1           1,012 European ancestry individuals                 21   \n",
       "2  2,684 Indian Asian ancestry male individuals                  4   \n",
       "3  2,684 Indian Asian ancestry male individuals                  4   \n",
       "4           1,200 European ancestry individuals                 49   \n",
       "\n",
       "                     rsid                      otg_variant_id  \\\n",
       "0            (rs2794520,)                  (1_159709026_C_T,)   \n",
       "1  (rs2494250, rs4128725)  (1_159308461_G_C, 1_159436169_T_C)   \n",
       "2            (rs3764261,)                  (16_56959412_C_A,)   \n",
       "3            (rs1260326,)                   (2_27508073_T_C,)   \n",
       "4            (rs2250417,)                 (11_112214593_T_C,)   \n",
       "\n",
       "      otg_v2g_gene_id otg_v2g_gene_symbol  \\\n",
       "0  (ENSG00000158716,)           (DUSP23,)   \n",
       "1  (ENSG00000179639,)           (FCER1A,)   \n",
       "2  (ENSG00000140853,)            (NLRC5,)   \n",
       "3  (ENSG00000084734,)             (GCKR,)   \n",
       "4  (ENSG00000197580,)             (BCO2,)   \n",
       "\n",
       "                                      variant_V2G_id  \\\n",
       "0              ((ENSG00000158716, 1_159709026_C_T),)   \n",
       "1  ((ENSG00000179639, 1_159308461_G_C), (ENSG0000...   \n",
       "2              ((ENSG00000140853, 16_56959412_C_A),)   \n",
       "3               ((ENSG00000084734, 2_27508073_T_C),)   \n",
       "4             ((ENSG00000197580, 11_112214593_T_C),)   \n",
       "\n",
       "                                  variant_V2G_symbol  INITIAL_SAMPLE_SIZE_INT  \\\n",
       "0                       ((DUSP23, 1_159709026_C_T),)                     1012   \n",
       "1  ((FCER1A, 1_159308461_G_C), (FCER1A, 1_1594361...                     1012   \n",
       "2                        ((NLRC5, 16_56959412_C_A),)                     2684   \n",
       "3                          ((GCKR, 2_27508073_T_C),)                     2684   \n",
       "4                        ((BCO2, 11_112214593_T_C),)                     1200   \n",
       "\n",
       "   ASSOCIATION COUNT MAPPED TRAIT  \\\n",
       "0                               1   \n",
       "1                               2   \n",
       "2                               1   \n",
       "3                               1   \n",
       "4                               1   \n",
       "\n",
       "                                          uniq_index  \n",
       "0  GCST000083_Select biomarker traits_C-reactive ...  \n",
       "1  GCST000083_Select biomarker traits_CCL2 measur...  \n",
       "2  GCST000184_Waist circumference and related phe...  \n",
       "3  GCST000184_Waist circumference and related phe...  \n",
       "4  GCST000189_Protein quantitative trait loci_Int...  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gwas_cat.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "otg = otg.rename(columns={'bestLocus2GenesOrClosest_id': 'gene_id', 'bestLocus2GenesOrClosest_symbol': 'gene_symbol'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pmid</th>\n",
       "      <th>pubAuthor</th>\n",
       "      <th>pubDate</th>\n",
       "      <th>pubJournal</th>\n",
       "      <th>pubTitle</th>\n",
       "      <th>traitReported</th>\n",
       "      <th>ancestryInitial</th>\n",
       "      <th>gene_id</th>\n",
       "      <th>gene_symbol</th>\n",
       "      <th>variant_V2G_id</th>\n",
       "      <th>variant_V2G_symbol</th>\n",
       "      <th>nInitial</th>\n",
       "      <th>numAssocLoci</th>\n",
       "      <th>uniq_index</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>studyId</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>GCST000083</th>\n",
       "      <td>17903293</td>\n",
       "      <td>Benjamin EJ</td>\n",
       "      <td>2007-09-19</td>\n",
       "      <td>BMC Med Genet</td>\n",
       "      <td>Genome-wide association with select biomarker ...</td>\n",
       "      <td>C-reactive protein measurement</td>\n",
       "      <td>1,012 European ancestry individuals</td>\n",
       "      <td>(ENSG00000158716,)</td>\n",
       "      <td>(DUSP23,)</td>\n",
       "      <td>((ENSG00000158716, 1_159709026_C_T),)</td>\n",
       "      <td>((DUSP23, 1_159709026_C_T),)</td>\n",
       "      <td>1012</td>\n",
       "      <td>1</td>\n",
       "      <td>GCST000083_Select biomarker traits_C-reactive ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000083</th>\n",
       "      <td>17903293</td>\n",
       "      <td>Benjamin EJ</td>\n",
       "      <td>2007-09-19</td>\n",
       "      <td>BMC Med Genet</td>\n",
       "      <td>Genome-wide association with select biomarker ...</td>\n",
       "      <td>CCL2 measurement</td>\n",
       "      <td>1,012 European ancestry individuals</td>\n",
       "      <td>(ENSG00000179639,)</td>\n",
       "      <td>(FCER1A,)</td>\n",
       "      <td>((ENSG00000179639, 1_159308461_G_C), (ENSG0000...</td>\n",
       "      <td>((FCER1A, 1_159308461_G_C), (FCER1A, 1_1594361...</td>\n",
       "      <td>1012</td>\n",
       "      <td>2</td>\n",
       "      <td>GCST000083_Select biomarker traits_CCL2 measur...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000184</th>\n",
       "      <td>18454146</td>\n",
       "      <td>Chambers JC</td>\n",
       "      <td>2008-05-04</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>Common genetic variation near MC4R is associat...</td>\n",
       "      <td>High density lipoprotein cholesterol measurement</td>\n",
       "      <td>2,684 Indian Asian ancestry male individuals</td>\n",
       "      <td>(ENSG00000140853,)</td>\n",
       "      <td>(NLRC5,)</td>\n",
       "      <td>((ENSG00000140853, 16_56959412_C_A),)</td>\n",
       "      <td>((NLRC5, 16_56959412_C_A),)</td>\n",
       "      <td>2684</td>\n",
       "      <td>1</td>\n",
       "      <td>GCST000184_Waist circumference and related phe...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000184</th>\n",
       "      <td>18454146</td>\n",
       "      <td>Chambers JC</td>\n",
       "      <td>2008-05-04</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>Common genetic variation near MC4R is associat...</td>\n",
       "      <td>Triglyceride measurement</td>\n",
       "      <td>2,684 Indian Asian ancestry male individuals</td>\n",
       "      <td>(ENSG00000084734,)</td>\n",
       "      <td>(GCKR,)</td>\n",
       "      <td>((ENSG00000084734, 2_27508073_T_C),)</td>\n",
       "      <td>((GCKR, 2_27508073_T_C),)</td>\n",
       "      <td>2684</td>\n",
       "      <td>1</td>\n",
       "      <td>GCST000184_Waist circumference and related phe...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000189</th>\n",
       "      <td>18464913</td>\n",
       "      <td>Melzer D</td>\n",
       "      <td>2008-05-09</td>\n",
       "      <td>PLoS Genet</td>\n",
       "      <td>A genome-wide association study identifies pro...</td>\n",
       "      <td>Interleukin 18 measurement</td>\n",
       "      <td>1,200 European ancestry individuals</td>\n",
       "      <td>(ENSG00000197580,)</td>\n",
       "      <td>(BCO2,)</td>\n",
       "      <td>((ENSG00000197580, 11_112214593_T_C),)</td>\n",
       "      <td>((BCO2, 11_112214593_T_C),)</td>\n",
       "      <td>1200</td>\n",
       "      <td>1</td>\n",
       "      <td>GCST000189_Protein quantitative trait loci_Int...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST90019505</th>\n",
       "      <td>33462484</td>\n",
       "      <td>Sinnott-Armstrong N</td>\n",
       "      <td>2021-01-18</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>Genetics of 35 blood and urine biomarkers in t...</td>\n",
       "      <td>Bilirubin measurement</td>\n",
       "      <td>291,512 European ancestry individuals, 5,007 A...</td>\n",
       "      <td>(ENSG00000185038, ENSG00000085982, ENSG0000008...</td>\n",
       "      <td>(MROH2A, USP40, ATG16L1, UGT1A9, APOE, TM6SF2,...</td>\n",
       "      <td>((ENSG00000185038, 2_233800222_G_C), (ENSG0000...</td>\n",
       "      <td>((MROH2A, 2_233800222_G_C), (USP40, 2_23352742...</td>\n",
       "      <td>302607</td>\n",
       "      <td>17</td>\n",
       "      <td>GCST90019505_Direct bilirubin levels_Bilirubin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST90020047</th>\n",
       "      <td>34319593</td>\n",
       "      <td>Li N</td>\n",
       "      <td>2021-07-28</td>\n",
       "      <td>Int J Cancer</td>\n",
       "      <td>Genetic variants of CYP4F12 gene are associate...</td>\n",
       "      <td>Glioma</td>\n",
       "      <td>485 Han Chinese ancestry cases, 485 Han Chines...</td>\n",
       "      <td>(ENSG00000186204,)</td>\n",
       "      <td>(CYP4F12,)</td>\n",
       "      <td>((ENSG00000186204, 19_15696495_T_C),)</td>\n",
       "      <td>((CYP4F12, 19_15696495_T_C),)</td>\n",
       "      <td>970</td>\n",
       "      <td>1</td>\n",
       "      <td>GCST90020047_Glioma_Glioma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST90020091</th>\n",
       "      <td>34255042</td>\n",
       "      <td>Schmitz D</td>\n",
       "      <td>2021-07-13</td>\n",
       "      <td>J Clin Endocrinol Metab</td>\n",
       "      <td>Genome-Wide Association Study of Estradiol Lev...</td>\n",
       "      <td>Estradiol measurement</td>\n",
       "      <td>13,367 European ancestry male cases, 134,323 E...</td>\n",
       "      <td>(ENSG00000239697, ENSG00000125885, ENSG0000010...</td>\n",
       "      <td>(TNFSF12, MCM8, SULT2A1, FKBP4, ABO, CYP3A7, U...</td>\n",
       "      <td>((ENSG00000239697, 17_7629697_C_T), (ENSG00000...</td>\n",
       "      <td>((TNFSF12, 17_7629697_C_T), (MCM8, 20_5967581_...</td>\n",
       "      <td>147690</td>\n",
       "      <td>7</td>\n",
       "      <td>GCST90020091_Estradiol levels_Estradiol measur...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST90020092</th>\n",
       "      <td>34255042</td>\n",
       "      <td>Schmitz D</td>\n",
       "      <td>2021-07-13</td>\n",
       "      <td>J Clin Endocrinol Metab</td>\n",
       "      <td>Genome-Wide Association Study of Estradiol Lev...</td>\n",
       "      <td>Estradiol measurement</td>\n",
       "      <td>37,461 European ancestry female cases, 126,524...</td>\n",
       "      <td>(ENSG00000101773,)</td>\n",
       "      <td>(RBBP8,)</td>\n",
       "      <td>((ENSG00000101773, 18_23005436_C_T),)</td>\n",
       "      <td>((RBBP8, 18_23005436_C_T),)</td>\n",
       "      <td>163985</td>\n",
       "      <td>1</td>\n",
       "      <td>GCST90020092_Estradiol levels_Estradiol measur...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST90020244</th>\n",
       "      <td>34308111</td>\n",
       "      <td>Amin HA</td>\n",
       "      <td>2021-01-07</td>\n",
       "      <td>BMJ Nutr Prev Health</td>\n",
       "      <td>No evidence that vitamin D is able to prevent ...</td>\n",
       "      <td>Vitamin D deficiency</td>\n",
       "      <td>35,079 European ancestry cases, 140,898 Europe...</td>\n",
       "      <td>(ENSG00000172890, ENSG00000109917, ENSG0000008...</td>\n",
       "      <td>(NADSYN1, ZPR1, HAL, LIPC, SULT2A1, PADI1, UGT...</td>\n",
       "      <td>((ENSG00000172890, 11_71457027_A_G), (ENSG0000...</td>\n",
       "      <td>((NADSYN1, 11_71457027_A_G), (ZPR1, 11_1167782...</td>\n",
       "      <td>175977</td>\n",
       "      <td>8</td>\n",
       "      <td>GCST90020244_Vitamin D insufficiency_Vitamin D...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>885 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  pmid            pubAuthor     pubDate  \\\n",
       "studyId                                                   \n",
       "GCST000083    17903293          Benjamin EJ  2007-09-19   \n",
       "GCST000083    17903293          Benjamin EJ  2007-09-19   \n",
       "GCST000184    18454146          Chambers JC  2008-05-04   \n",
       "GCST000184    18454146          Chambers JC  2008-05-04   \n",
       "GCST000189    18464913             Melzer D  2008-05-09   \n",
       "...                ...                  ...         ...   \n",
       "GCST90019505  33462484  Sinnott-Armstrong N  2021-01-18   \n",
       "GCST90020047  34319593                 Li N  2021-07-28   \n",
       "GCST90020091  34255042            Schmitz D  2021-07-13   \n",
       "GCST90020092  34255042            Schmitz D  2021-07-13   \n",
       "GCST90020244  34308111              Amin HA  2021-01-07   \n",
       "\n",
       "                           pubJournal  \\\n",
       "studyId                                 \n",
       "GCST000083              BMC Med Genet   \n",
       "GCST000083              BMC Med Genet   \n",
       "GCST000184                  Nat Genet   \n",
       "GCST000184                  Nat Genet   \n",
       "GCST000189                 PLoS Genet   \n",
       "...                               ...   \n",
       "GCST90019505                Nat Genet   \n",
       "GCST90020047             Int J Cancer   \n",
       "GCST90020091  J Clin Endocrinol Metab   \n",
       "GCST90020092  J Clin Endocrinol Metab   \n",
       "GCST90020244     BMJ Nutr Prev Health   \n",
       "\n",
       "                                                       pubTitle  \\\n",
       "studyId                                                           \n",
       "GCST000083    Genome-wide association with select biomarker ...   \n",
       "GCST000083    Genome-wide association with select biomarker ...   \n",
       "GCST000184    Common genetic variation near MC4R is associat...   \n",
       "GCST000184    Common genetic variation near MC4R is associat...   \n",
       "GCST000189    A genome-wide association study identifies pro...   \n",
       "...                                                         ...   \n",
       "GCST90019505  Genetics of 35 blood and urine biomarkers in t...   \n",
       "GCST90020047  Genetic variants of CYP4F12 gene are associate...   \n",
       "GCST90020091  Genome-Wide Association Study of Estradiol Lev...   \n",
       "GCST90020092  Genome-Wide Association Study of Estradiol Lev...   \n",
       "GCST90020244  No evidence that vitamin D is able to prevent ...   \n",
       "\n",
       "                                                 traitReported  \\\n",
       "studyId                                                          \n",
       "GCST000083                      C-reactive protein measurement   \n",
       "GCST000083                                    CCL2 measurement   \n",
       "GCST000184    High density lipoprotein cholesterol measurement   \n",
       "GCST000184                            Triglyceride measurement   \n",
       "GCST000189                          Interleukin 18 measurement   \n",
       "...                                                        ...   \n",
       "GCST90019505                             Bilirubin measurement   \n",
       "GCST90020047                                            Glioma   \n",
       "GCST90020091                             Estradiol measurement   \n",
       "GCST90020092                             Estradiol measurement   \n",
       "GCST90020244                              Vitamin D deficiency   \n",
       "\n",
       "                                                ancestryInitial  \\\n",
       "studyId                                                           \n",
       "GCST000083                  1,012 European ancestry individuals   \n",
       "GCST000083                  1,012 European ancestry individuals   \n",
       "GCST000184         2,684 Indian Asian ancestry male individuals   \n",
       "GCST000184         2,684 Indian Asian ancestry male individuals   \n",
       "GCST000189                  1,200 European ancestry individuals   \n",
       "...                                                         ...   \n",
       "GCST90019505  291,512 European ancestry individuals, 5,007 A...   \n",
       "GCST90020047  485 Han Chinese ancestry cases, 485 Han Chines...   \n",
       "GCST90020091  13,367 European ancestry male cases, 134,323 E...   \n",
       "GCST90020092  37,461 European ancestry female cases, 126,524...   \n",
       "GCST90020244  35,079 European ancestry cases, 140,898 Europe...   \n",
       "\n",
       "                                                        gene_id  \\\n",
       "studyId                                                           \n",
       "GCST000083                                   (ENSG00000158716,)   \n",
       "GCST000083                                   (ENSG00000179639,)   \n",
       "GCST000184                                   (ENSG00000140853,)   \n",
       "GCST000184                                   (ENSG00000084734,)   \n",
       "GCST000189                                   (ENSG00000197580,)   \n",
       "...                                                         ...   \n",
       "GCST90019505  (ENSG00000185038, ENSG00000085982, ENSG0000008...   \n",
       "GCST90020047                                 (ENSG00000186204,)   \n",
       "GCST90020091  (ENSG00000239697, ENSG00000125885, ENSG0000010...   \n",
       "GCST90020092                                 (ENSG00000101773,)   \n",
       "GCST90020244  (ENSG00000172890, ENSG00000109917, ENSG0000008...   \n",
       "\n",
       "                                                    gene_symbol  \\\n",
       "studyId                                                           \n",
       "GCST000083                                            (DUSP23,)   \n",
       "GCST000083                                            (FCER1A,)   \n",
       "GCST000184                                             (NLRC5,)   \n",
       "GCST000184                                              (GCKR,)   \n",
       "GCST000189                                              (BCO2,)   \n",
       "...                                                         ...   \n",
       "GCST90019505  (MROH2A, USP40, ATG16L1, UGT1A9, APOE, TM6SF2,...   \n",
       "GCST90020047                                         (CYP4F12,)   \n",
       "GCST90020091  (TNFSF12, MCM8, SULT2A1, FKBP4, ABO, CYP3A7, U...   \n",
       "GCST90020092                                           (RBBP8,)   \n",
       "GCST90020244  (NADSYN1, ZPR1, HAL, LIPC, SULT2A1, PADI1, UGT...   \n",
       "\n",
       "                                                 variant_V2G_id  \\\n",
       "studyId                                                           \n",
       "GCST000083                ((ENSG00000158716, 1_159709026_C_T),)   \n",
       "GCST000083    ((ENSG00000179639, 1_159308461_G_C), (ENSG0000...   \n",
       "GCST000184                ((ENSG00000140853, 16_56959412_C_A),)   \n",
       "GCST000184                 ((ENSG00000084734, 2_27508073_T_C),)   \n",
       "GCST000189               ((ENSG00000197580, 11_112214593_T_C),)   \n",
       "...                                                         ...   \n",
       "GCST90019505  ((ENSG00000185038, 2_233800222_G_C), (ENSG0000...   \n",
       "GCST90020047              ((ENSG00000186204, 19_15696495_T_C),)   \n",
       "GCST90020091  ((ENSG00000239697, 17_7629697_C_T), (ENSG00000...   \n",
       "GCST90020092              ((ENSG00000101773, 18_23005436_C_T),)   \n",
       "GCST90020244  ((ENSG00000172890, 11_71457027_A_G), (ENSG0000...   \n",
       "\n",
       "                                             variant_V2G_symbol  nInitial  \\\n",
       "studyId                                                                     \n",
       "GCST000083                         ((DUSP23, 1_159709026_C_T),)      1012   \n",
       "GCST000083    ((FCER1A, 1_159308461_G_C), (FCER1A, 1_1594361...      1012   \n",
       "GCST000184                          ((NLRC5, 16_56959412_C_A),)      2684   \n",
       "GCST000184                            ((GCKR, 2_27508073_T_C),)      2684   \n",
       "GCST000189                          ((BCO2, 11_112214593_T_C),)      1200   \n",
       "...                                                         ...       ...   \n",
       "GCST90019505  ((MROH2A, 2_233800222_G_C), (USP40, 2_23352742...    302607   \n",
       "GCST90020047                      ((CYP4F12, 19_15696495_T_C),)       970   \n",
       "GCST90020091  ((TNFSF12, 17_7629697_C_T), (MCM8, 20_5967581_...    147690   \n",
       "GCST90020092                        ((RBBP8, 18_23005436_C_T),)    163985   \n",
       "GCST90020244  ((NADSYN1, 11_71457027_A_G), (ZPR1, 11_1167782...    175977   \n",
       "\n",
       "              numAssocLoci                                         uniq_index  \n",
       "studyId                                                                        \n",
       "GCST000083               1  GCST000083_Select biomarker traits_C-reactive ...  \n",
       "GCST000083               2  GCST000083_Select biomarker traits_CCL2 measur...  \n",
       "GCST000184               1  GCST000184_Waist circumference and related phe...  \n",
       "GCST000184               1  GCST000184_Waist circumference and related phe...  \n",
       "GCST000189               1  GCST000189_Protein quantitative trait loci_Int...  \n",
       "...                    ...                                                ...  \n",
       "GCST90019505            17  GCST90019505_Direct bilirubin levels_Bilirubin...  \n",
       "GCST90020047             1                         GCST90020047_Glioma_Glioma  \n",
       "GCST90020091             7  GCST90020091_Estradiol levels_Estradiol measur...  \n",
       "GCST90020092             1  GCST90020092_Estradiol levels_Estradiol measur...  \n",
       "GCST90020244             8  GCST90020244_Vitamin D insufficiency_Vitamin D...  \n",
       "\n",
       "[885 rows x 14 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gwas_cat = gwas_cat.rename(columns={\n",
    "    'STUDY ACCESSION': 'studyId',\n",
    "    'DATE': 'pubDate',\n",
    "    'PUBMEDID': 'pmid',\n",
    "    'FIRST AUTHOR': 'pubAuthor',\n",
    "    'JOURNAL': 'pubJournal',\n",
    "    'INITIAL SAMPLE SIZE': 'ancestryInitial',\n",
    "    'INITIAL_SAMPLE_SIZE_INT': 'nInitial',\n",
    "    'STUDY': 'pubTitle',\n",
    "    'MAPPED_TRAIT': 'traitReported',\n",
    "    'ASSOCIATION COUNT MAPPED TRAIT': 'numAssocLoci',\n",
    "    'otg_v2g_gene_id': 'gene_id',\n",
    "    'otg_v2g_gene_symbol': 'gene_symbol'\n",
    "}).drop(columns=['DATE ADDED TO CATALOG', 'LINK', 'rsid', 'otg_variant_id', 'DISEASE/TRAIT', 'ASSOCIATION COUNT']).set_index('studyId')\n",
    "\n",
    "gwas_cat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pmid</th>\n",
       "      <th>pubAuthor</th>\n",
       "      <th>pubDate</th>\n",
       "      <th>pubJournal</th>\n",
       "      <th>pubTitle</th>\n",
       "      <th>traitReported</th>\n",
       "      <th>ancestryInitial</th>\n",
       "      <th>gene_id</th>\n",
       "      <th>gene_symbol</th>\n",
       "      <th>variant_V2G_id</th>\n",
       "      <th>variant_V2G_symbol</th>\n",
       "      <th>nInitial</th>\n",
       "      <th>numAssocLoci</th>\n",
       "      <th>uniq_index</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>studyId</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>GCST009698</th>\n",
       "      <td>31628463</td>\n",
       "      <td>Chai JF</td>\n",
       "      <td>2019-10-19</td>\n",
       "      <td>Hum Mol Genet</td>\n",
       "      <td>Associations with metabolites in Chinese sugge...</td>\n",
       "      <td>Acylcarnitine measurement</td>\n",
       "      <td>1,954 Chinese ancestry individuals</td>\n",
       "      <td>(ENSG00000134538, ENSG00000171503, ENSG0000011...</td>\n",
       "      <td>(SLCO1B1, ETFDH, COQ5, TMEM258)</td>\n",
       "      <td>((ENSG00000134538, 12_21178615_T_C), (ENSG0000...</td>\n",
       "      <td>((SLCO1B1, 12_21178615_T_C), (ETFDH, 4_1587005...</td>\n",
       "      <td>1954</td>\n",
       "      <td>5</td>\n",
       "      <td>GCST009698_Metabolite levels_Acylcarnitine mea...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST009698</th>\n",
       "      <td>31628463</td>\n",
       "      <td>Chai JF</td>\n",
       "      <td>2019-10-19</td>\n",
       "      <td>Hum Mol Genet</td>\n",
       "      <td>Associations with metabolites in Chinese sugge...</td>\n",
       "      <td>Ceramide measurement</td>\n",
       "      <td>1,954 Chinese ancestry individuals</td>\n",
       "      <td>(ENSG00000172296, ENSG00000111700, ENSG0000013...</td>\n",
       "      <td>(SPTLC3, SLCO1B3, HNF1A, CCNG1)</td>\n",
       "      <td>((ENSG00000172296, 20_12978039_A_G), (ENSG0000...</td>\n",
       "      <td>((SPTLC3, 20_12978039_A_G), (SLCO1B3, 12_20858...</td>\n",
       "      <td>1954</td>\n",
       "      <td>16</td>\n",
       "      <td>GCST009698_Metabolite levels_Ceramide measurement</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST009698</th>\n",
       "      <td>31628463</td>\n",
       "      <td>Chai JF</td>\n",
       "      <td>2019-10-19</td>\n",
       "      <td>Hum Mol Genet</td>\n",
       "      <td>Associations with metabolites in Chinese sugge...</td>\n",
       "      <td>Glycine measurement</td>\n",
       "      <td>1,954 Chinese ancestry individuals</td>\n",
       "      <td>(ENSG00000021826,)</td>\n",
       "      <td>(CPS1,)</td>\n",
       "      <td>((ENSG00000021826, 2_210675783_C_A),)</td>\n",
       "      <td>((CPS1, 2_210675783_C_A),)</td>\n",
       "      <td>1954</td>\n",
       "      <td>1</td>\n",
       "      <td>GCST009698_Metabolite levels_Glycine measurement</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST009698</th>\n",
       "      <td>31628463</td>\n",
       "      <td>Chai JF</td>\n",
       "      <td>2019-10-19</td>\n",
       "      <td>Hum Mol Genet</td>\n",
       "      <td>Associations with metabolites in Chinese sugge...</td>\n",
       "      <td>Proline measurement</td>\n",
       "      <td>1,954 Chinese ancestry individuals</td>\n",
       "      <td>(ENSG00000100033,)</td>\n",
       "      <td>(PRODH,)</td>\n",
       "      <td>((ENSG00000100033, 22_18923032_C_T),)</td>\n",
       "      <td>((PRODH, 22_18923032_C_T),)</td>\n",
       "      <td>1954</td>\n",
       "      <td>1</td>\n",
       "      <td>GCST009698_Metabolite levels_Proline measurement</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST009698</th>\n",
       "      <td>31628463</td>\n",
       "      <td>Chai JF</td>\n",
       "      <td>2019-10-19</td>\n",
       "      <td>Hum Mol Genet</td>\n",
       "      <td>Associations with metabolites in Chinese sugge...</td>\n",
       "      <td>Sphingolipid measurement</td>\n",
       "      <td>1,954 Chinese ancestry individuals</td>\n",
       "      <td>(ENSG00000172296, ENSG00000204388, ENSG0000013...</td>\n",
       "      <td>(SPTLC3, HSPA1B, SLCO5A1, A4GALT, ABCA7, SYNE2)</td>\n",
       "      <td>((ENSG00000172296, 20_12978039_A_G), (ENSG0000...</td>\n",
       "      <td>((SPTLC3, 20_12978039_A_G), (HSPA1B, 6_3184519...</td>\n",
       "      <td>1954</td>\n",
       "      <td>11</td>\n",
       "      <td>GCST009698_Metabolite levels_Sphingolipid meas...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST009698</th>\n",
       "      <td>31628463</td>\n",
       "      <td>Chai JF</td>\n",
       "      <td>2019-10-19</td>\n",
       "      <td>Hum Mol Genet</td>\n",
       "      <td>Associations with metabolites in Chinese sugge...</td>\n",
       "      <td>Sphingomyelin measurement</td>\n",
       "      <td>1,954 Chinese ancestry individuals</td>\n",
       "      <td>(ENSG00000172296,)</td>\n",
       "      <td>(SPTLC3,)</td>\n",
       "      <td>((ENSG00000172296, 20_12978039_A_G), (ENSG0000...</td>\n",
       "      <td>((SPTLC3, 20_12978039_A_G), (SPTLC3, 20_129780...</td>\n",
       "      <td>1954</td>\n",
       "      <td>4</td>\n",
       "      <td>GCST009698_Metabolite levels_Sphingomyelin mea...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                pmid pubAuthor     pubDate     pubJournal  \\\n",
       "studyId                                                     \n",
       "GCST009698  31628463   Chai JF  2019-10-19  Hum Mol Genet   \n",
       "GCST009698  31628463   Chai JF  2019-10-19  Hum Mol Genet   \n",
       "GCST009698  31628463   Chai JF  2019-10-19  Hum Mol Genet   \n",
       "GCST009698  31628463   Chai JF  2019-10-19  Hum Mol Genet   \n",
       "GCST009698  31628463   Chai JF  2019-10-19  Hum Mol Genet   \n",
       "GCST009698  31628463   Chai JF  2019-10-19  Hum Mol Genet   \n",
       "\n",
       "                                                     pubTitle  \\\n",
       "studyId                                                         \n",
       "GCST009698  Associations with metabolites in Chinese sugge...   \n",
       "GCST009698  Associations with metabolites in Chinese sugge...   \n",
       "GCST009698  Associations with metabolites in Chinese sugge...   \n",
       "GCST009698  Associations with metabolites in Chinese sugge...   \n",
       "GCST009698  Associations with metabolites in Chinese sugge...   \n",
       "GCST009698  Associations with metabolites in Chinese sugge...   \n",
       "\n",
       "                        traitReported                     ancestryInitial  \\\n",
       "studyId                                                                     \n",
       "GCST009698  Acylcarnitine measurement  1,954 Chinese ancestry individuals   \n",
       "GCST009698       Ceramide measurement  1,954 Chinese ancestry individuals   \n",
       "GCST009698        Glycine measurement  1,954 Chinese ancestry individuals   \n",
       "GCST009698        Proline measurement  1,954 Chinese ancestry individuals   \n",
       "GCST009698   Sphingolipid measurement  1,954 Chinese ancestry individuals   \n",
       "GCST009698  Sphingomyelin measurement  1,954 Chinese ancestry individuals   \n",
       "\n",
       "                                                      gene_id  \\\n",
       "studyId                                                         \n",
       "GCST009698  (ENSG00000134538, ENSG00000171503, ENSG0000011...   \n",
       "GCST009698  (ENSG00000172296, ENSG00000111700, ENSG0000013...   \n",
       "GCST009698                                 (ENSG00000021826,)   \n",
       "GCST009698                                 (ENSG00000100033,)   \n",
       "GCST009698  (ENSG00000172296, ENSG00000204388, ENSG0000013...   \n",
       "GCST009698                                 (ENSG00000172296,)   \n",
       "\n",
       "                                                gene_symbol  \\\n",
       "studyId                                                       \n",
       "GCST009698                  (SLCO1B1, ETFDH, COQ5, TMEM258)   \n",
       "GCST009698                  (SPTLC3, SLCO1B3, HNF1A, CCNG1)   \n",
       "GCST009698                                          (CPS1,)   \n",
       "GCST009698                                         (PRODH,)   \n",
       "GCST009698  (SPTLC3, HSPA1B, SLCO5A1, A4GALT, ABCA7, SYNE2)   \n",
       "GCST009698                                        (SPTLC3,)   \n",
       "\n",
       "                                               variant_V2G_id  \\\n",
       "studyId                                                         \n",
       "GCST009698  ((ENSG00000134538, 12_21178615_T_C), (ENSG0000...   \n",
       "GCST009698  ((ENSG00000172296, 20_12978039_A_G), (ENSG0000...   \n",
       "GCST009698              ((ENSG00000021826, 2_210675783_C_A),)   \n",
       "GCST009698              ((ENSG00000100033, 22_18923032_C_T),)   \n",
       "GCST009698  ((ENSG00000172296, 20_12978039_A_G), (ENSG0000...   \n",
       "GCST009698  ((ENSG00000172296, 20_12978039_A_G), (ENSG0000...   \n",
       "\n",
       "                                           variant_V2G_symbol  nInitial  \\\n",
       "studyId                                                                   \n",
       "GCST009698  ((SLCO1B1, 12_21178615_T_C), (ETFDH, 4_1587005...      1954   \n",
       "GCST009698  ((SPTLC3, 20_12978039_A_G), (SLCO1B3, 12_20858...      1954   \n",
       "GCST009698                         ((CPS1, 2_210675783_C_A),)      1954   \n",
       "GCST009698                        ((PRODH, 22_18923032_C_T),)      1954   \n",
       "GCST009698  ((SPTLC3, 20_12978039_A_G), (HSPA1B, 6_3184519...      1954   \n",
       "GCST009698  ((SPTLC3, 20_12978039_A_G), (SPTLC3, 20_129780...      1954   \n",
       "\n",
       "            numAssocLoci                                         uniq_index  \n",
       "studyId                                                                      \n",
       "GCST009698             5  GCST009698_Metabolite levels_Acylcarnitine mea...  \n",
       "GCST009698            16  GCST009698_Metabolite levels_Ceramide measurement  \n",
       "GCST009698             1   GCST009698_Metabolite levels_Glycine measurement  \n",
       "GCST009698             1   GCST009698_Metabolite levels_Proline measurement  \n",
       "GCST009698            11  GCST009698_Metabolite levels_Sphingolipid meas...  \n",
       "GCST009698             4  GCST009698_Metabolite levels_Sphingomyelin mea...  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gwas_cat.loc[['GCST009698']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>studyId</th>\n",
       "      <th>pmid</th>\n",
       "      <th>pubAuthor</th>\n",
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       "      <th>pubTitle</th>\n",
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       "      <th>variant_V2G_id</th>\n",
       "      <th>variant_V2G_symbol</th>\n",
       "      <th>nInitial</th>\n",
       "      <th>numAssocLoci</th>\n",
       "      <th>source</th>\n",
       "      <th>source_otg</th>\n",
       "      <th>traitEfos</th>\n",
       "      <th>hasSumstats</th>\n",
       "      <th>ancestryReplication</th>\n",
       "      <th>nReplication</th>\n",
       "      <th>nCases</th>\n",
       "      <th>traitCategory</th>\n",
       "      <th>nTotal</th>\n",
       "      <th>variant_gene_id_pairs</th>\n",
       "      <th>variant_gene_symbol_pairs</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>uniq_index</th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>GCST000083_Select biomarker traits_C-reactive protein measurement</th>\n",
       "      <td>GCST000083</td>\n",
       "      <td>17903293</td>\n",
       "      <td>Benjamin EJ</td>\n",
       "      <td>2007-09-19</td>\n",
       "      <td>BMC Med Genet</td>\n",
       "      <td>Genome-wide association with select biomarker ...</td>\n",
       "      <td>C-reactive protein measurement</td>\n",
       "      <td>1,012 European ancestry individuals</td>\n",
       "      <td>(ENSG00000158716,)</td>\n",
       "      <td>(DUSP23,)</td>\n",
       "      <td>((ENSG00000158716, 1_159709026_C_T),)</td>\n",
       "      <td>((DUSP23, 1_159709026_C_T),)</td>\n",
       "      <td>1012</td>\n",
       "      <td>1</td>\n",
       "      <td>gwascat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000083_Select biomarker traits_CCL2 measurement</th>\n",
       "      <td>GCST000083</td>\n",
       "      <td>17903293</td>\n",
       "      <td>Benjamin EJ</td>\n",
       "      <td>2007-09-19</td>\n",
       "      <td>BMC Med Genet</td>\n",
       "      <td>Genome-wide association with select biomarker ...</td>\n",
       "      <td>CCL2 measurement</td>\n",
       "      <td>1,012 European ancestry individuals</td>\n",
       "      <td>(ENSG00000179639,)</td>\n",
       "      <td>(FCER1A,)</td>\n",
       "      <td>((ENSG00000179639, 1_159308461_G_C), (ENSG0000...</td>\n",
       "      <td>((FCER1A, 1_159308461_G_C), (FCER1A, 1_1594361...</td>\n",
       "      <td>1012</td>\n",
       "      <td>2</td>\n",
       "      <td>gwascat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000184_Waist circumference and related phenotypes_High density lipoprotein cholesterol measurement</th>\n",
       "      <td>GCST000184</td>\n",
       "      <td>18454146</td>\n",
       "      <td>Chambers JC</td>\n",
       "      <td>2008-05-04</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>Common genetic variation near MC4R is associat...</td>\n",
       "      <td>High density lipoprotein cholesterol measurement</td>\n",
       "      <td>2,684 Indian Asian ancestry male individuals</td>\n",
       "      <td>(ENSG00000140853,)</td>\n",
       "      <td>(NLRC5,)</td>\n",
       "      <td>((ENSG00000140853, 16_56959412_C_A),)</td>\n",
       "      <td>((NLRC5, 16_56959412_C_A),)</td>\n",
       "      <td>2684</td>\n",
       "      <td>1</td>\n",
       "      <td>gwascat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000184_Waist circumference and related phenotypes_Triglyceride measurement</th>\n",
       "      <td>GCST000184</td>\n",
       "      <td>18454146</td>\n",
       "      <td>Chambers JC</td>\n",
       "      <td>2008-05-04</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>Common genetic variation near MC4R is associat...</td>\n",
       "      <td>Triglyceride measurement</td>\n",
       "      <td>2,684 Indian Asian ancestry male individuals</td>\n",
       "      <td>(ENSG00000084734,)</td>\n",
       "      <td>(GCKR,)</td>\n",
       "      <td>((ENSG00000084734, 2_27508073_T_C),)</td>\n",
       "      <td>((GCKR, 2_27508073_T_C),)</td>\n",
       "      <td>2684</td>\n",
       "      <td>1</td>\n",
       "      <td>gwascat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000189_Protein quantitative trait loci_Interleukin 18 measurement</th>\n",
       "      <td>GCST000189</td>\n",
       "      <td>18464913</td>\n",
       "      <td>Melzer D</td>\n",
       "      <td>2008-05-09</td>\n",
       "      <td>PLoS Genet</td>\n",
       "      <td>A genome-wide association study identifies pro...</td>\n",
       "      <td>Interleukin 18 measurement</td>\n",
       "      <td>1,200 European ancestry individuals</td>\n",
       "      <td>(ENSG00000197580,)</td>\n",
       "      <td>(BCO2,)</td>\n",
       "      <td>((ENSG00000197580, 11_112214593_T_C),)</td>\n",
       "      <td>((BCO2, 11_112214593_T_C),)</td>\n",
       "      <td>1200</td>\n",
       "      <td>1</td>\n",
       "      <td>gwascat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000189_Protein quantitative trait loci_Interleukin-6 receptor measurement</th>\n",
       "      <td>GCST000189</td>\n",
       "      <td>18464913</td>\n",
       "      <td>Melzer D</td>\n",
       "      <td>2008-05-09</td>\n",
       "      <td>PLoS Genet</td>\n",
       "      <td>A genome-wide association study identifies pro...</td>\n",
       "      <td>Interleukin-6 receptor measurement</td>\n",
       "      <td>1,200 European ancestry individuals</td>\n",
       "      <td>(ENSG00000160712,)</td>\n",
       "      <td>(IL6R,)</td>\n",
       "      <td>((ENSG00000160712, 1_154453788_C_T),)</td>\n",
       "      <td>((IL6R, 1_154453788_C_T),)</td>\n",
       "      <td>1200</td>\n",
       "      <td>1</td>\n",
       "      <td>gwascat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000189_Protein quantitative trait loci_Soluble transferrin receptor measurement</th>\n",
       "      <td>GCST000189</td>\n",
       "      <td>18464913</td>\n",
       "      <td>Melzer D</td>\n",
       "      <td>2008-05-09</td>\n",
       "      <td>PLoS Genet</td>\n",
       "      <td>A genome-wide association study identifies pro...</td>\n",
       "      <td>Soluble transferrin receptor measurement</td>\n",
       "      <td>1,200 European ancestry individuals</td>\n",
       "      <td>(ENSG00000160613,)</td>\n",
       "      <td>(PCSK7,)</td>\n",
       "      <td>((ENSG00000160613, 11_117166645_A_G),)</td>\n",
       "      <td>((PCSK7, 11_117166645_A_G),)</td>\n",
       "      <td>1200</td>\n",
       "      <td>1</td>\n",
       "      <td>gwascat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000189_Protein quantitative trait loci_Tumor necrosis factor-alpha measurement</th>\n",
       "      <td>GCST000189</td>\n",
       "      <td>18464913</td>\n",
       "      <td>Melzer D</td>\n",
       "      <td>2008-05-09</td>\n",
       "      <td>PLoS Genet</td>\n",
       "      <td>A genome-wide association study identifies pro...</td>\n",
       "      <td>Tumor necrosis factor-alpha measurement</td>\n",
       "      <td>1,200 European ancestry individuals</td>\n",
       "      <td>(ENSG00000175164,)</td>\n",
       "      <td>(ABO,)</td>\n",
       "      <td>((ENSG00000175164, 9_133273813_T_C),)</td>\n",
       "      <td>((ABO, 9_133273813_T_C),)</td>\n",
       "      <td>1200</td>\n",
       "      <td>1</td>\n",
       "      <td>gwascat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000248_Liver enzyme levels_Alkaline phosphatase measurement, liver enzyme measurement</th>\n",
       "      <td>GCST000248</td>\n",
       "      <td>18940312</td>\n",
       "      <td>Yuan X</td>\n",
       "      <td>2008-10-10</td>\n",
       "      <td>Am J Hum Genet</td>\n",
       "      <td>Population-based genome-wide association studi...</td>\n",
       "      <td>Alkaline phosphatase measurement, liver enzyme...</td>\n",
       "      <td>7,751 European ancestry individuals</td>\n",
       "      <td>(ENSG00000165476, ENSG00000112293, ENSG0000017...</td>\n",
       "      <td>(REEP3, GPLD1, ABO, NBPF3)</td>\n",
       "      <td>((ENSG00000165476, 10_63515167_A_G), (ENSG0000...</td>\n",
       "      <td>((REEP3, 10_63515167_A_G), (REEP3, 10_63361805...</td>\n",
       "      <td>7751</td>\n",
       "      <td>6</td>\n",
       "      <td>gwascat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000248_Liver enzyme levels_Liver enzyme measurement, serum alanine aminotransferase measurement</th>\n",
       "      <td>GCST000248</td>\n",
       "      <td>18940312</td>\n",
       "      <td>Yuan X</td>\n",
       "      <td>2008-10-10</td>\n",
       "      <td>Am J Hum Genet</td>\n",
       "      <td>Population-based genome-wide association studi...</td>\n",
       "      <td>Liver enzyme measurement, serum alanine aminot...</td>\n",
       "      <td>7,751 European ancestry individuals</td>\n",
       "      <td>(ENSG00000100347, ENSG00000095485)</td>\n",
       "      <td>(SAMM50, CWF19L1)</td>\n",
       "      <td>((ENSG00000100347, 22_43936690_G_A), (ENSG0000...</td>\n",
       "      <td>((SAMM50, 22_43936690_G_A), (CWF19L1, 10_10010...</td>\n",
       "      <td>7751</td>\n",
       "      <td>2</td>\n",
       "      <td>gwascat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000248_Liver enzyme levels_Liver enzyme measurement, serum gamma-glutamyl transferase measurement</th>\n",
       "      <td>GCST000248</td>\n",
       "      <td>18940312</td>\n",
       "      <td>Yuan X</td>\n",
       "      <td>2008-10-10</td>\n",
       "      <td>Am J Hum Genet</td>\n",
       "      <td>Population-based genome-wide association studi...</td>\n",
       "      <td>Liver enzyme measurement, serum gamma-glutamyl...</td>\n",
       "      <td>7,751 European ancestry individuals</td>\n",
       "      <td>(ENSG00000157895, ENSG00000100031)</td>\n",
       "      <td>(C12orf43, GGT1)</td>\n",
       "      <td>((ENSG00000157895, 12_121004867_T_C), (ENSG000...</td>\n",
       "      <td>((C12orf43, 12_121004867_T_C), (GGT1, 22_24594...</td>\n",
       "      <td>7751</td>\n",
       "      <td>2</td>\n",
       "      <td>gwascat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000274_Metabolite levels_Phospholipid measurement</th>\n",
       "      <td>GCST000274</td>\n",
       "      <td>19043545</td>\n",
       "      <td>Gieger C</td>\n",
       "      <td>2008-11-28</td>\n",
       "      <td>PLoS Genet</td>\n",
       "      <td>Genetics meets metabolomics: a genome-wide ass...</td>\n",
       "      <td>Phospholipid measurement</td>\n",
       "      <td>284 European ancestry male individuals</td>\n",
       "      <td>(ENSG00000149485,)</td>\n",
       "      <td>(FADS1,)</td>\n",
       "      <td>((ENSG00000149485, 11_61803876_C_G),)</td>\n",
       "      <td>((FADS1, 11_61803876_C_G),)</td>\n",
       "      <td>284</td>\n",
       "      <td>1</td>\n",
       "      <td>gwascat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000274_Metabolite levels_Sphingolipid measurement</th>\n",
       "      <td>GCST000274</td>\n",
       "      <td>19043545</td>\n",
       "      <td>Gieger C</td>\n",
       "      <td>2008-11-28</td>\n",
       "      <td>PLoS Genet</td>\n",
       "      <td>Genetics meets metabolomics: a genome-wide ass...</td>\n",
       "      <td>Sphingolipid measurement</td>\n",
       "      <td>284 European ancestry male individuals</td>\n",
       "      <td>(ENSG00000115956,)</td>\n",
       "      <td>(PLEK,)</td>\n",
       "      <td>((ENSG00000115956, 2_68343640_G_C),)</td>\n",
       "      <td>((PLEK, 2_68343640_G_C),)</td>\n",
       "      <td>284</td>\n",
       "      <td>1</td>\n",
       "      <td>gwascat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000292_Metabolic traits_Glucose measurement</th>\n",
       "      <td>GCST000292</td>\n",
       "      <td>19060910</td>\n",
       "      <td>Sabatti C</td>\n",
       "      <td>2008-12-07</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>Genome-wide association analysis of metabolic ...</td>\n",
       "      <td>Glucose measurement</td>\n",
       "      <td>4,763 Northern Finnish founder individuals</td>\n",
       "      <td>(ENSG00000152254,)</td>\n",
       "      <td>(G6PC2,)</td>\n",
       "      <td>((ENSG00000152254, 2_168906638_T_C),)</td>\n",
       "      <td>((G6PC2, 2_168906638_T_C),)</td>\n",
       "      <td>4763</td>\n",
       "      <td>1</td>\n",
       "      <td>gwascat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000292_Metabolic traits_Inflammatory response</th>\n",
       "      <td>GCST000292</td>\n",
       "      <td>19060910</td>\n",
       "      <td>Sabatti C</td>\n",
       "      <td>2008-12-07</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>Genome-wide association analysis of metabolic ...</td>\n",
       "      <td>Inflammatory response</td>\n",
       "      <td>4,763 Northern Finnish founder individuals</td>\n",
       "      <td>(ENSG00000157895, ENSG00000158716)</td>\n",
       "      <td>(C12orf43, DUSP23)</td>\n",
       "      <td>((ENSG00000157895, 12_120951159_A_C), (ENSG000...</td>\n",
       "      <td>((C12orf43, 12_120951159_A_C), (DUSP23, 1_1597...</td>\n",
       "      <td>4763</td>\n",
       "      <td>2</td>\n",
       "      <td>gwascat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000292_Metabolic traits_Triglyceride measurement</th>\n",
       "      <td>GCST000292</td>\n",
       "      <td>19060910</td>\n",
       "      <td>Sabatti C</td>\n",
       "      <td>2008-12-07</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>Genome-wide association analysis of metabolic ...</td>\n",
       "      <td>Triglyceride measurement</td>\n",
       "      <td>4,763 Northern Finnish founder individuals</td>\n",
       "      <td>(ENSG00000175445, ENSG00000084734)</td>\n",
       "      <td>(LPL, GCKR)</td>\n",
       "      <td>((ENSG00000175445, 8_19973410_C_T), (ENSG00000...</td>\n",
       "      <td>((LPL, 8_19973410_C_T), (GCKR, 2_27508073_T_C))</td>\n",
       "      <td>4763</td>\n",
       "      <td>2</td>\n",
       "      <td>gwascat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000301_Iron status biomarkers_Iron biomarker measurement</th>\n",
       "      <td>GCST000301</td>\n",
       "      <td>19084217</td>\n",
       "      <td>Benyamin B</td>\n",
       "      <td>2008-12-17</td>\n",
       "      <td>Am J Hum Genet</td>\n",
       "      <td>Variants in TF and HFE explain approximately 4...</td>\n",
       "      <td>Iron biomarker measurement</td>\n",
       "      <td>459 European ancestry twin pairs</td>\n",
       "      <td>(ENSG00000010704, ENSG00000091513)</td>\n",
       "      <td>(HFE, TF)</td>\n",
       "      <td>((ENSG00000010704, 6_26092913_G_A), (ENSG00000...</td>\n",
       "      <td>((HFE, 6_26092913_G_A), (HFE, 6_26092913_G_A),...</td>\n",
       "      <td>459</td>\n",
       "      <td>4</td>\n",
       "      <td>gwascat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000302_Iron status biomarkers_Iron biomarker measurement</th>\n",
       "      <td>GCST000302</td>\n",
       "      <td>19084217</td>\n",
       "      <td>Benyamin B</td>\n",
       "      <td>2008-12-17</td>\n",
       "      <td>Am J Hum Genet</td>\n",
       "      <td>Variants in TF and HFE explain approximately 4...</td>\n",
       "      <td>Iron biomarker measurement</td>\n",
       "      <td>411 European ancestry individuals from 150 fam...</td>\n",
       "      <td>(ENSG00000144867,)</td>\n",
       "      <td>(SRPRB,)</td>\n",
       "      <td>((ENSG00000144867, 3_133789620_A_T),)</td>\n",
       "      <td>((SRPRB, 3_133789620_A_T),)</td>\n",
       "      <td>561</td>\n",
       "      <td>1</td>\n",
       "      <td>gwascat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000328_Biochemical measures_Uric acid measurement</th>\n",
       "      <td>GCST000328</td>\n",
       "      <td>19260141</td>\n",
       "      <td>Zemunik T</td>\n",
       "      <td>2009-02-01</td>\n",
       "      <td>Croat Med J</td>\n",
       "      <td>Genome-wide association study of biochemical t...</td>\n",
       "      <td>Uric acid measurement</td>\n",
       "      <td>898 Korculan (founder/genetic isolate) individ...</td>\n",
       "      <td>(ENSG00000109667,)</td>\n",
       "      <td>(SLC2A9,)</td>\n",
       "      <td>((ENSG00000109667, 4_9925343_T_G),)</td>\n",
       "      <td>((SLC2A9, 4_9925343_T_G),)</td>\n",
       "      <td>898</td>\n",
       "      <td>1</td>\n",
       "      <td>gwascat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000337_Quantitative traits_Triglyceride measurement</th>\n",
       "      <td>GCST000337</td>\n",
       "      <td>19197348</td>\n",
       "      <td>Lowe JK</td>\n",
       "      <td>2009-02-06</td>\n",
       "      <td>PLoS Genet</td>\n",
       "      <td>Genome-wide association studies in an isolated...</td>\n",
       "      <td>Triglyceride measurement</td>\n",
       "      <td>2,906 Kosraen individuals</td>\n",
       "      <td>(ENSG00000160613,)</td>\n",
       "      <td>(PCSK7,)</td>\n",
       "      <td>((ENSG00000160613, 11_116813312_T_C),)</td>\n",
       "      <td>((PCSK7, 11_116813312_T_C),)</td>\n",
       "      <td>2906</td>\n",
       "      <td>1</td>\n",
       "      <td>gwascat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                       studyId      pmid  \\\n",
       "uniq_index                                                                 \n",
       "GCST000083_Select biomarker traits_C-reactive p...  GCST000083  17903293   \n",
       "GCST000083_Select biomarker traits_CCL2 measure...  GCST000083  17903293   \n",
       "GCST000184_Waist circumference and related phen...  GCST000184  18454146   \n",
       "GCST000184_Waist circumference and related phen...  GCST000184  18454146   \n",
       "GCST000189_Protein quantitative trait loci_Inte...  GCST000189  18464913   \n",
       "GCST000189_Protein quantitative trait loci_Inte...  GCST000189  18464913   \n",
       "GCST000189_Protein quantitative trait loci_Solu...  GCST000189  18464913   \n",
       "GCST000189_Protein quantitative trait loci_Tumo...  GCST000189  18464913   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  GCST000248  18940312   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  GCST000248  18940312   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  GCST000248  18940312   \n",
       "GCST000274_Metabolite levels_Phospholipid measu...  GCST000274  19043545   \n",
       "GCST000274_Metabolite levels_Sphingolipid measu...  GCST000274  19043545   \n",
       "GCST000292_Metabolic traits_Glucose measurement     GCST000292  19060910   \n",
       "GCST000292_Metabolic traits_Inflammatory response   GCST000292  19060910   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...  GCST000292  19060910   \n",
       "GCST000301_Iron status biomarkers_Iron biomarke...  GCST000301  19084217   \n",
       "GCST000302_Iron status biomarkers_Iron biomarke...  GCST000302  19084217   \n",
       "GCST000328_Biochemical measures_Uric acid measu...  GCST000328  19260141   \n",
       "GCST000337_Quantitative traits_Triglyceride mea...  GCST000337  19197348   \n",
       "\n",
       "                                                      pubAuthor     pubDate  \\\n",
       "uniq_index                                                                    \n",
       "GCST000083_Select biomarker traits_C-reactive p...  Benjamin EJ  2007-09-19   \n",
       "GCST000083_Select biomarker traits_CCL2 measure...  Benjamin EJ  2007-09-19   \n",
       "GCST000184_Waist circumference and related phen...  Chambers JC  2008-05-04   \n",
       "GCST000184_Waist circumference and related phen...  Chambers JC  2008-05-04   \n",
       "GCST000189_Protein quantitative trait loci_Inte...     Melzer D  2008-05-09   \n",
       "GCST000189_Protein quantitative trait loci_Inte...     Melzer D  2008-05-09   \n",
       "GCST000189_Protein quantitative trait loci_Solu...     Melzer D  2008-05-09   \n",
       "GCST000189_Protein quantitative trait loci_Tumo...     Melzer D  2008-05-09   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...       Yuan X  2008-10-10   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...       Yuan X  2008-10-10   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...       Yuan X  2008-10-10   \n",
       "GCST000274_Metabolite levels_Phospholipid measu...     Gieger C  2008-11-28   \n",
       "GCST000274_Metabolite levels_Sphingolipid measu...     Gieger C  2008-11-28   \n",
       "GCST000292_Metabolic traits_Glucose measurement       Sabatti C  2008-12-07   \n",
       "GCST000292_Metabolic traits_Inflammatory response     Sabatti C  2008-12-07   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...    Sabatti C  2008-12-07   \n",
       "GCST000301_Iron status biomarkers_Iron biomarke...   Benyamin B  2008-12-17   \n",
       "GCST000302_Iron status biomarkers_Iron biomarke...   Benyamin B  2008-12-17   \n",
       "GCST000328_Biochemical measures_Uric acid measu...    Zemunik T  2009-02-01   \n",
       "GCST000337_Quantitative traits_Triglyceride mea...      Lowe JK  2009-02-06   \n",
       "\n",
       "                                                        pubJournal  \\\n",
       "uniq_index                                                           \n",
       "GCST000083_Select biomarker traits_C-reactive p...   BMC Med Genet   \n",
       "GCST000083_Select biomarker traits_CCL2 measure...   BMC Med Genet   \n",
       "GCST000184_Waist circumference and related phen...       Nat Genet   \n",
       "GCST000184_Waist circumference and related phen...       Nat Genet   \n",
       "GCST000189_Protein quantitative trait loci_Inte...      PLoS Genet   \n",
       "GCST000189_Protein quantitative trait loci_Inte...      PLoS Genet   \n",
       "GCST000189_Protein quantitative trait loci_Solu...      PLoS Genet   \n",
       "GCST000189_Protein quantitative trait loci_Tumo...      PLoS Genet   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  Am J Hum Genet   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  Am J Hum Genet   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  Am J Hum Genet   \n",
       "GCST000274_Metabolite levels_Phospholipid measu...      PLoS Genet   \n",
       "GCST000274_Metabolite levels_Sphingolipid measu...      PLoS Genet   \n",
       "GCST000292_Metabolic traits_Glucose measurement          Nat Genet   \n",
       "GCST000292_Metabolic traits_Inflammatory response        Nat Genet   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...       Nat Genet   \n",
       "GCST000301_Iron status biomarkers_Iron biomarke...  Am J Hum Genet   \n",
       "GCST000302_Iron status biomarkers_Iron biomarke...  Am J Hum Genet   \n",
       "GCST000328_Biochemical measures_Uric acid measu...     Croat Med J   \n",
       "GCST000337_Quantitative traits_Triglyceride mea...      PLoS Genet   \n",
       "\n",
       "                                                                                             pubTitle  \\\n",
       "uniq_index                                                                                              \n",
       "GCST000083_Select biomarker traits_C-reactive p...  Genome-wide association with select biomarker ...   \n",
       "GCST000083_Select biomarker traits_CCL2 measure...  Genome-wide association with select biomarker ...   \n",
       "GCST000184_Waist circumference and related phen...  Common genetic variation near MC4R is associat...   \n",
       "GCST000184_Waist circumference and related phen...  Common genetic variation near MC4R is associat...   \n",
       "GCST000189_Protein quantitative trait loci_Inte...  A genome-wide association study identifies pro...   \n",
       "GCST000189_Protein quantitative trait loci_Inte...  A genome-wide association study identifies pro...   \n",
       "GCST000189_Protein quantitative trait loci_Solu...  A genome-wide association study identifies pro...   \n",
       "GCST000189_Protein quantitative trait loci_Tumo...  A genome-wide association study identifies pro...   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  Population-based genome-wide association studi...   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  Population-based genome-wide association studi...   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  Population-based genome-wide association studi...   \n",
       "GCST000274_Metabolite levels_Phospholipid measu...  Genetics meets metabolomics: a genome-wide ass...   \n",
       "GCST000274_Metabolite levels_Sphingolipid measu...  Genetics meets metabolomics: a genome-wide ass...   \n",
       "GCST000292_Metabolic traits_Glucose measurement     Genome-wide association analysis of metabolic ...   \n",
       "GCST000292_Metabolic traits_Inflammatory response   Genome-wide association analysis of metabolic ...   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...  Genome-wide association analysis of metabolic ...   \n",
       "GCST000301_Iron status biomarkers_Iron biomarke...  Variants in TF and HFE explain approximately 4...   \n",
       "GCST000302_Iron status biomarkers_Iron biomarke...  Variants in TF and HFE explain approximately 4...   \n",
       "GCST000328_Biochemical measures_Uric acid measu...  Genome-wide association study of biochemical t...   \n",
       "GCST000337_Quantitative traits_Triglyceride mea...  Genome-wide association studies in an isolated...   \n",
       "\n",
       "                                                                                        traitReported  \\\n",
       "uniq_index                                                                                              \n",
       "GCST000083_Select biomarker traits_C-reactive p...                     C-reactive protein measurement   \n",
       "GCST000083_Select biomarker traits_CCL2 measure...                                   CCL2 measurement   \n",
       "GCST000184_Waist circumference and related phen...   High density lipoprotein cholesterol measurement   \n",
       "GCST000184_Waist circumference and related phen...                           Triglyceride measurement   \n",
       "GCST000189_Protein quantitative trait loci_Inte...                         Interleukin 18 measurement   \n",
       "GCST000189_Protein quantitative trait loci_Inte...                 Interleukin-6 receptor measurement   \n",
       "GCST000189_Protein quantitative trait loci_Solu...           Soluble transferrin receptor measurement   \n",
       "GCST000189_Protein quantitative trait loci_Tumo...            Tumor necrosis factor-alpha measurement   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  Alkaline phosphatase measurement, liver enzyme...   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  Liver enzyme measurement, serum alanine aminot...   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  Liver enzyme measurement, serum gamma-glutamyl...   \n",
       "GCST000274_Metabolite levels_Phospholipid measu...                           Phospholipid measurement   \n",
       "GCST000274_Metabolite levels_Sphingolipid measu...                           Sphingolipid measurement   \n",
       "GCST000292_Metabolic traits_Glucose measurement                                   Glucose measurement   \n",
       "GCST000292_Metabolic traits_Inflammatory response                               Inflammatory response   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...                           Triglyceride measurement   \n",
       "GCST000301_Iron status biomarkers_Iron biomarke...                         Iron biomarker measurement   \n",
       "GCST000302_Iron status biomarkers_Iron biomarke...                         Iron biomarker measurement   \n",
       "GCST000328_Biochemical measures_Uric acid measu...                              Uric acid measurement   \n",
       "GCST000337_Quantitative traits_Triglyceride mea...                           Triglyceride measurement   \n",
       "\n",
       "                                                                                      ancestryInitial  \\\n",
       "uniq_index                                                                                              \n",
       "GCST000083_Select biomarker traits_C-reactive p...                1,012 European ancestry individuals   \n",
       "GCST000083_Select biomarker traits_CCL2 measure...                1,012 European ancestry individuals   \n",
       "GCST000184_Waist circumference and related phen...       2,684 Indian Asian ancestry male individuals   \n",
       "GCST000184_Waist circumference and related phen...       2,684 Indian Asian ancestry male individuals   \n",
       "GCST000189_Protein quantitative trait loci_Inte...                1,200 European ancestry individuals   \n",
       "GCST000189_Protein quantitative trait loci_Inte...                1,200 European ancestry individuals   \n",
       "GCST000189_Protein quantitative trait loci_Solu...                1,200 European ancestry individuals   \n",
       "GCST000189_Protein quantitative trait loci_Tumo...                1,200 European ancestry individuals   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...                7,751 European ancestry individuals   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...                7,751 European ancestry individuals   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...                7,751 European ancestry individuals   \n",
       "GCST000274_Metabolite levels_Phospholipid measu...             284 European ancestry male individuals   \n",
       "GCST000274_Metabolite levels_Sphingolipid measu...             284 European ancestry male individuals   \n",
       "GCST000292_Metabolic traits_Glucose measurement            4,763 Northern Finnish founder individuals   \n",
       "GCST000292_Metabolic traits_Inflammatory response          4,763 Northern Finnish founder individuals   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...         4,763 Northern Finnish founder individuals   \n",
       "GCST000301_Iron status biomarkers_Iron biomarke...                   459 European ancestry twin pairs   \n",
       "GCST000302_Iron status biomarkers_Iron biomarke...  411 European ancestry individuals from 150 fam...   \n",
       "GCST000328_Biochemical measures_Uric acid measu...  898 Korculan (founder/genetic isolate) individ...   \n",
       "GCST000337_Quantitative traits_Triglyceride mea...                          2,906 Kosraen individuals   \n",
       "\n",
       "                                                                                              gene_id  \\\n",
       "uniq_index                                                                                              \n",
       "GCST000083_Select biomarker traits_C-reactive p...                                 (ENSG00000158716,)   \n",
       "GCST000083_Select biomarker traits_CCL2 measure...                                 (ENSG00000179639,)   \n",
       "GCST000184_Waist circumference and related phen...                                 (ENSG00000140853,)   \n",
       "GCST000184_Waist circumference and related phen...                                 (ENSG00000084734,)   \n",
       "GCST000189_Protein quantitative trait loci_Inte...                                 (ENSG00000197580,)   \n",
       "GCST000189_Protein quantitative trait loci_Inte...                                 (ENSG00000160712,)   \n",
       "GCST000189_Protein quantitative trait loci_Solu...                                 (ENSG00000160613,)   \n",
       "GCST000189_Protein quantitative trait loci_Tumo...                                 (ENSG00000175164,)   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  (ENSG00000165476, ENSG00000112293, ENSG0000017...   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...                 (ENSG00000100347, ENSG00000095485)   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...                 (ENSG00000157895, ENSG00000100031)   \n",
       "GCST000274_Metabolite levels_Phospholipid measu...                                 (ENSG00000149485,)   \n",
       "GCST000274_Metabolite levels_Sphingolipid measu...                                 (ENSG00000115956,)   \n",
       "GCST000292_Metabolic traits_Glucose measurement                                    (ENSG00000152254,)   \n",
       "GCST000292_Metabolic traits_Inflammatory response                  (ENSG00000157895, ENSG00000158716)   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...                 (ENSG00000175445, ENSG00000084734)   \n",
       "GCST000301_Iron status biomarkers_Iron biomarke...                 (ENSG00000010704, ENSG00000091513)   \n",
       "GCST000302_Iron status biomarkers_Iron biomarke...                                 (ENSG00000144867,)   \n",
       "GCST000328_Biochemical measures_Uric acid measu...                                 (ENSG00000109667,)   \n",
       "GCST000337_Quantitative traits_Triglyceride mea...                                 (ENSG00000160613,)   \n",
       "\n",
       "                                                                   gene_symbol  \\\n",
       "uniq_index                                                                       \n",
       "GCST000083_Select biomarker traits_C-reactive p...                   (DUSP23,)   \n",
       "GCST000083_Select biomarker traits_CCL2 measure...                   (FCER1A,)   \n",
       "GCST000184_Waist circumference and related phen...                    (NLRC5,)   \n",
       "GCST000184_Waist circumference and related phen...                     (GCKR,)   \n",
       "GCST000189_Protein quantitative trait loci_Inte...                     (BCO2,)   \n",
       "GCST000189_Protein quantitative trait loci_Inte...                     (IL6R,)   \n",
       "GCST000189_Protein quantitative trait loci_Solu...                    (PCSK7,)   \n",
       "GCST000189_Protein quantitative trait loci_Tumo...                      (ABO,)   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  (REEP3, GPLD1, ABO, NBPF3)   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...           (SAMM50, CWF19L1)   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...            (C12orf43, GGT1)   \n",
       "GCST000274_Metabolite levels_Phospholipid measu...                    (FADS1,)   \n",
       "GCST000274_Metabolite levels_Sphingolipid measu...                     (PLEK,)   \n",
       "GCST000292_Metabolic traits_Glucose measurement                       (G6PC2,)   \n",
       "GCST000292_Metabolic traits_Inflammatory response           (C12orf43, DUSP23)   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...                 (LPL, GCKR)   \n",
       "GCST000301_Iron status biomarkers_Iron biomarke...                   (HFE, TF)   \n",
       "GCST000302_Iron status biomarkers_Iron biomarke...                    (SRPRB,)   \n",
       "GCST000328_Biochemical measures_Uric acid measu...                   (SLC2A9,)   \n",
       "GCST000337_Quantitative traits_Triglyceride mea...                    (PCSK7,)   \n",
       "\n",
       "                                                                                       variant_V2G_id  \\\n",
       "uniq_index                                                                                              \n",
       "GCST000083_Select biomarker traits_C-reactive p...              ((ENSG00000158716, 1_159709026_C_T),)   \n",
       "GCST000083_Select biomarker traits_CCL2 measure...  ((ENSG00000179639, 1_159308461_G_C), (ENSG0000...   \n",
       "GCST000184_Waist circumference and related phen...              ((ENSG00000140853, 16_56959412_C_A),)   \n",
       "GCST000184_Waist circumference and related phen...               ((ENSG00000084734, 2_27508073_T_C),)   \n",
       "GCST000189_Protein quantitative trait loci_Inte...             ((ENSG00000197580, 11_112214593_T_C),)   \n",
       "GCST000189_Protein quantitative trait loci_Inte...              ((ENSG00000160712, 1_154453788_C_T),)   \n",
       "GCST000189_Protein quantitative trait loci_Solu...             ((ENSG00000160613, 11_117166645_A_G),)   \n",
       "GCST000189_Protein quantitative trait loci_Tumo...              ((ENSG00000175164, 9_133273813_T_C),)   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  ((ENSG00000165476, 10_63515167_A_G), (ENSG0000...   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  ((ENSG00000100347, 22_43936690_G_A), (ENSG0000...   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  ((ENSG00000157895, 12_121004867_T_C), (ENSG000...   \n",
       "GCST000274_Metabolite levels_Phospholipid measu...              ((ENSG00000149485, 11_61803876_C_G),)   \n",
       "GCST000274_Metabolite levels_Sphingolipid measu...               ((ENSG00000115956, 2_68343640_G_C),)   \n",
       "GCST000292_Metabolic traits_Glucose measurement                 ((ENSG00000152254, 2_168906638_T_C),)   \n",
       "GCST000292_Metabolic traits_Inflammatory response   ((ENSG00000157895, 12_120951159_A_C), (ENSG000...   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...  ((ENSG00000175445, 8_19973410_C_T), (ENSG00000...   \n",
       "GCST000301_Iron status biomarkers_Iron biomarke...  ((ENSG00000010704, 6_26092913_G_A), (ENSG00000...   \n",
       "GCST000302_Iron status biomarkers_Iron biomarke...              ((ENSG00000144867, 3_133789620_A_T),)   \n",
       "GCST000328_Biochemical measures_Uric acid measu...                ((ENSG00000109667, 4_9925343_T_G),)   \n",
       "GCST000337_Quantitative traits_Triglyceride mea...             ((ENSG00000160613, 11_116813312_T_C),)   \n",
       "\n",
       "                                                                                   variant_V2G_symbol  \\\n",
       "uniq_index                                                                                              \n",
       "GCST000083_Select biomarker traits_C-reactive p...                       ((DUSP23, 1_159709026_C_T),)   \n",
       "GCST000083_Select biomarker traits_CCL2 measure...  ((FCER1A, 1_159308461_G_C), (FCER1A, 1_1594361...   \n",
       "GCST000184_Waist circumference and related phen...                        ((NLRC5, 16_56959412_C_A),)   \n",
       "GCST000184_Waist circumference and related phen...                          ((GCKR, 2_27508073_T_C),)   \n",
       "GCST000189_Protein quantitative trait loci_Inte...                        ((BCO2, 11_112214593_T_C),)   \n",
       "GCST000189_Protein quantitative trait loci_Inte...                         ((IL6R, 1_154453788_C_T),)   \n",
       "GCST000189_Protein quantitative trait loci_Solu...                       ((PCSK7, 11_117166645_A_G),)   \n",
       "GCST000189_Protein quantitative trait loci_Tumo...                          ((ABO, 9_133273813_T_C),)   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  ((REEP3, 10_63515167_A_G), (REEP3, 10_63361805...   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  ((SAMM50, 22_43936690_G_A), (CWF19L1, 10_10010...   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  ((C12orf43, 12_121004867_T_C), (GGT1, 22_24594...   \n",
       "GCST000274_Metabolite levels_Phospholipid measu...                        ((FADS1, 11_61803876_C_G),)   \n",
       "GCST000274_Metabolite levels_Sphingolipid measu...                          ((PLEK, 2_68343640_G_C),)   \n",
       "GCST000292_Metabolic traits_Glucose measurement                           ((G6PC2, 2_168906638_T_C),)   \n",
       "GCST000292_Metabolic traits_Inflammatory response   ((C12orf43, 12_120951159_A_C), (DUSP23, 1_1597...   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...    ((LPL, 8_19973410_C_T), (GCKR, 2_27508073_T_C))   \n",
       "GCST000301_Iron status biomarkers_Iron biomarke...  ((HFE, 6_26092913_G_A), (HFE, 6_26092913_G_A),...   \n",
       "GCST000302_Iron status biomarkers_Iron biomarke...                        ((SRPRB, 3_133789620_A_T),)   \n",
       "GCST000328_Biochemical measures_Uric acid measu...                         ((SLC2A9, 4_9925343_T_G),)   \n",
       "GCST000337_Quantitative traits_Triglyceride mea...                       ((PCSK7, 11_116813312_T_C),)   \n",
       "\n",
       "                                                    nInitial  numAssocLoci  \\\n",
       "uniq_index                                                                   \n",
       "GCST000083_Select biomarker traits_C-reactive p...      1012             1   \n",
       "GCST000083_Select biomarker traits_CCL2 measure...      1012             2   \n",
       "GCST000184_Waist circumference and related phen...      2684             1   \n",
       "GCST000184_Waist circumference and related phen...      2684             1   \n",
       "GCST000189_Protein quantitative trait loci_Inte...      1200             1   \n",
       "GCST000189_Protein quantitative trait loci_Inte...      1200             1   \n",
       "GCST000189_Protein quantitative trait loci_Solu...      1200             1   \n",
       "GCST000189_Protein quantitative trait loci_Tumo...      1200             1   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...      7751             6   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...      7751             2   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...      7751             2   \n",
       "GCST000274_Metabolite levels_Phospholipid measu...       284             1   \n",
       "GCST000274_Metabolite levels_Sphingolipid measu...       284             1   \n",
       "GCST000292_Metabolic traits_Glucose measurement         4763             1   \n",
       "GCST000292_Metabolic traits_Inflammatory response       4763             2   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...      4763             2   \n",
       "GCST000301_Iron status biomarkers_Iron biomarke...       459             4   \n",
       "GCST000302_Iron status biomarkers_Iron biomarke...       561             1   \n",
       "GCST000328_Biochemical measures_Uric acid measu...       898             1   \n",
       "GCST000337_Quantitative traits_Triglyceride mea...      2906             1   \n",
       "\n",
       "                                                     source source_otg  \\\n",
       "uniq_index                                                               \n",
       "GCST000083_Select biomarker traits_C-reactive p...  gwascat        NaN   \n",
       "GCST000083_Select biomarker traits_CCL2 measure...  gwascat        NaN   \n",
       "GCST000184_Waist circumference and related phen...  gwascat        NaN   \n",
       "GCST000184_Waist circumference and related phen...  gwascat        NaN   \n",
       "GCST000189_Protein quantitative trait loci_Inte...  gwascat        NaN   \n",
       "GCST000189_Protein quantitative trait loci_Inte...  gwascat        NaN   \n",
       "GCST000189_Protein quantitative trait loci_Solu...  gwascat        NaN   \n",
       "GCST000189_Protein quantitative trait loci_Tumo...  gwascat        NaN   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  gwascat        NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  gwascat        NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  gwascat        NaN   \n",
       "GCST000274_Metabolite levels_Phospholipid measu...  gwascat        NaN   \n",
       "GCST000274_Metabolite levels_Sphingolipid measu...  gwascat        NaN   \n",
       "GCST000292_Metabolic traits_Glucose measurement     gwascat        NaN   \n",
       "GCST000292_Metabolic traits_Inflammatory response   gwascat        NaN   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...  gwascat        NaN   \n",
       "GCST000301_Iron status biomarkers_Iron biomarke...  gwascat        NaN   \n",
       "GCST000302_Iron status biomarkers_Iron biomarke...  gwascat        NaN   \n",
       "GCST000328_Biochemical measures_Uric acid measu...  gwascat        NaN   \n",
       "GCST000337_Quantitative traits_Triglyceride mea...  gwascat        NaN   \n",
       "\n",
       "                                                   traitEfos hasSumstats  \\\n",
       "uniq_index                                                                 \n",
       "GCST000083_Select biomarker traits_C-reactive p...       NaN         NaN   \n",
       "GCST000083_Select biomarker traits_CCL2 measure...       NaN         NaN   \n",
       "GCST000184_Waist circumference and related phen...       NaN         NaN   \n",
       "GCST000184_Waist circumference and related phen...       NaN         NaN   \n",
       "GCST000189_Protein quantitative trait loci_Inte...       NaN         NaN   \n",
       "GCST000189_Protein quantitative trait loci_Inte...       NaN         NaN   \n",
       "GCST000189_Protein quantitative trait loci_Solu...       NaN         NaN   \n",
       "GCST000189_Protein quantitative trait loci_Tumo...       NaN         NaN   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...       NaN         NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...       NaN         NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...       NaN         NaN   \n",
       "GCST000274_Metabolite levels_Phospholipid measu...       NaN         NaN   \n",
       "GCST000274_Metabolite levels_Sphingolipid measu...       NaN         NaN   \n",
       "GCST000292_Metabolic traits_Glucose measurement          NaN         NaN   \n",
       "GCST000292_Metabolic traits_Inflammatory response        NaN         NaN   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...       NaN         NaN   \n",
       "GCST000301_Iron status biomarkers_Iron biomarke...       NaN         NaN   \n",
       "GCST000302_Iron status biomarkers_Iron biomarke...       NaN         NaN   \n",
       "GCST000328_Biochemical measures_Uric acid measu...       NaN         NaN   \n",
       "GCST000337_Quantitative traits_Triglyceride mea...       NaN         NaN   \n",
       "\n",
       "                                                   ancestryReplication  \\\n",
       "uniq_index                                                               \n",
       "GCST000083_Select biomarker traits_C-reactive p...                 NaN   \n",
       "GCST000083_Select biomarker traits_CCL2 measure...                 NaN   \n",
       "GCST000184_Waist circumference and related phen...                 NaN   \n",
       "GCST000184_Waist circumference and related phen...                 NaN   \n",
       "GCST000189_Protein quantitative trait loci_Inte...                 NaN   \n",
       "GCST000189_Protein quantitative trait loci_Inte...                 NaN   \n",
       "GCST000189_Protein quantitative trait loci_Solu...                 NaN   \n",
       "GCST000189_Protein quantitative trait loci_Tumo...                 NaN   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...                 NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...                 NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...                 NaN   \n",
       "GCST000274_Metabolite levels_Phospholipid measu...                 NaN   \n",
       "GCST000274_Metabolite levels_Sphingolipid measu...                 NaN   \n",
       "GCST000292_Metabolic traits_Glucose measurement                    NaN   \n",
       "GCST000292_Metabolic traits_Inflammatory response                  NaN   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...                 NaN   \n",
       "GCST000301_Iron status biomarkers_Iron biomarke...                 NaN   \n",
       "GCST000302_Iron status biomarkers_Iron biomarke...                 NaN   \n",
       "GCST000328_Biochemical measures_Uric acid measu...                 NaN   \n",
       "GCST000337_Quantitative traits_Triglyceride mea...                 NaN   \n",
       "\n",
       "                                                   nReplication nCases  \\\n",
       "uniq_index                                                               \n",
       "GCST000083_Select biomarker traits_C-reactive p...          NaN    NaN   \n",
       "GCST000083_Select biomarker traits_CCL2 measure...          NaN    NaN   \n",
       "GCST000184_Waist circumference and related phen...          NaN    NaN   \n",
       "GCST000184_Waist circumference and related phen...          NaN    NaN   \n",
       "GCST000189_Protein quantitative trait loci_Inte...          NaN    NaN   \n",
       "GCST000189_Protein quantitative trait loci_Inte...          NaN    NaN   \n",
       "GCST000189_Protein quantitative trait loci_Solu...          NaN    NaN   \n",
       "GCST000189_Protein quantitative trait loci_Tumo...          NaN    NaN   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...          NaN    NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...          NaN    NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...          NaN    NaN   \n",
       "GCST000274_Metabolite levels_Phospholipid measu...          NaN    NaN   \n",
       "GCST000274_Metabolite levels_Sphingolipid measu...          NaN    NaN   \n",
       "GCST000292_Metabolic traits_Glucose measurement             NaN    NaN   \n",
       "GCST000292_Metabolic traits_Inflammatory response           NaN    NaN   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...          NaN    NaN   \n",
       "GCST000301_Iron status biomarkers_Iron biomarke...          NaN    NaN   \n",
       "GCST000302_Iron status biomarkers_Iron biomarke...          NaN    NaN   \n",
       "GCST000328_Biochemical measures_Uric acid measu...          NaN    NaN   \n",
       "GCST000337_Quantitative traits_Triglyceride mea...          NaN    NaN   \n",
       "\n",
       "                                                   traitCategory  nTotal  \\\n",
       "uniq_index                                                                 \n",
       "GCST000083_Select biomarker traits_C-reactive p...           NaN     NaN   \n",
       "GCST000083_Select biomarker traits_CCL2 measure...           NaN     NaN   \n",
       "GCST000184_Waist circumference and related phen...           NaN     NaN   \n",
       "GCST000184_Waist circumference and related phen...           NaN     NaN   \n",
       "GCST000189_Protein quantitative trait loci_Inte...           NaN     NaN   \n",
       "GCST000189_Protein quantitative trait loci_Inte...           NaN     NaN   \n",
       "GCST000189_Protein quantitative trait loci_Solu...           NaN     NaN   \n",
       "GCST000189_Protein quantitative trait loci_Tumo...           NaN     NaN   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...           NaN     NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...           NaN     NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...           NaN     NaN   \n",
       "GCST000274_Metabolite levels_Phospholipid measu...           NaN     NaN   \n",
       "GCST000274_Metabolite levels_Sphingolipid measu...           NaN     NaN   \n",
       "GCST000292_Metabolic traits_Glucose measurement              NaN     NaN   \n",
       "GCST000292_Metabolic traits_Inflammatory response            NaN     NaN   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...           NaN     NaN   \n",
       "GCST000301_Iron status biomarkers_Iron biomarke...           NaN     NaN   \n",
       "GCST000302_Iron status biomarkers_Iron biomarke...           NaN     NaN   \n",
       "GCST000328_Biochemical measures_Uric acid measu...           NaN     NaN   \n",
       "GCST000337_Quantitative traits_Triglyceride mea...           NaN     NaN   \n",
       "\n",
       "                                                   variant_gene_id_pairs  \\\n",
       "uniq_index                                                                 \n",
       "GCST000083_Select biomarker traits_C-reactive p...                   NaN   \n",
       "GCST000083_Select biomarker traits_CCL2 measure...                   NaN   \n",
       "GCST000184_Waist circumference and related phen...                   NaN   \n",
       "GCST000184_Waist circumference and related phen...                   NaN   \n",
       "GCST000189_Protein quantitative trait loci_Inte...                   NaN   \n",
       "GCST000189_Protein quantitative trait loci_Inte...                   NaN   \n",
       "GCST000189_Protein quantitative trait loci_Solu...                   NaN   \n",
       "GCST000189_Protein quantitative trait loci_Tumo...                   NaN   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...                   NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...                   NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...                   NaN   \n",
       "GCST000274_Metabolite levels_Phospholipid measu...                   NaN   \n",
       "GCST000274_Metabolite levels_Sphingolipid measu...                   NaN   \n",
       "GCST000292_Metabolic traits_Glucose measurement                      NaN   \n",
       "GCST000292_Metabolic traits_Inflammatory response                    NaN   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...                   NaN   \n",
       "GCST000301_Iron status biomarkers_Iron biomarke...                   NaN   \n",
       "GCST000302_Iron status biomarkers_Iron biomarke...                   NaN   \n",
       "GCST000328_Biochemical measures_Uric acid measu...                   NaN   \n",
       "GCST000337_Quantitative traits_Triglyceride mea...                   NaN   \n",
       "\n",
       "                                                   variant_gene_symbol_pairs  \n",
       "uniq_index                                                                    \n",
       "GCST000083_Select biomarker traits_C-reactive p...                       NaN  \n",
       "GCST000083_Select biomarker traits_CCL2 measure...                       NaN  \n",
       "GCST000184_Waist circumference and related phen...                       NaN  \n",
       "GCST000184_Waist circumference and related phen...                       NaN  \n",
       "GCST000189_Protein quantitative trait loci_Inte...                       NaN  \n",
       "GCST000189_Protein quantitative trait loci_Inte...                       NaN  \n",
       "GCST000189_Protein quantitative trait loci_Solu...                       NaN  \n",
       "GCST000189_Protein quantitative trait loci_Tumo...                       NaN  \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...                       NaN  \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...                       NaN  \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...                       NaN  \n",
       "GCST000274_Metabolite levels_Phospholipid measu...                       NaN  \n",
       "GCST000274_Metabolite levels_Sphingolipid measu...                       NaN  \n",
       "GCST000292_Metabolic traits_Glucose measurement                          NaN  \n",
       "GCST000292_Metabolic traits_Inflammatory response                        NaN  \n",
       "GCST000292_Metabolic traits_Triglyceride measur...                       NaN  \n",
       "GCST000301_Iron status biomarkers_Iron biomarke...                       NaN  \n",
       "GCST000302_Iron status biomarkers_Iron biomarke...                       NaN  \n",
       "GCST000328_Biochemical measures_Uric acid measu...                       NaN  \n",
       "GCST000337_Quantitative traits_Triglyceride mea...                       NaN  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gwas = pd.concat([gwas_cat.assign(source='gwascat'), otg.set_index('studyId').assign(source='otg')], axis=0).reset_index().set_index('uniq_index')\n",
    "gwas = gwas[~gwas.gene_symbol.isnull()]\n",
    "gwas.head(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Filter by numAssocLoci and nInitial"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(7826, 25)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gwas = gwas[(gwas.numAssocLoci >= 2) & (gwas.nInitial > 3000)]\n",
    "gwas.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.options.display.max_rows = 50\n",
    "pd.options.display.min_rows = 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "gwas['traitEfosStr'] = gwas.traitEfos.fillna('').astype(str)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Take the study with the max nInitial for each trait group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "#info = info[info.traitEfosStr != '[]']\n",
    "#idx = info.groupby(['traitEfosStr'])['nInitial'].transform(max) == info['nInitial']\n",
    "#info = info[idx]\n",
    "#info.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>studyId</th>\n",
       "      <th>pmid</th>\n",
       "      <th>pubAuthor</th>\n",
       "      <th>pubDate</th>\n",
       "      <th>pubJournal</th>\n",
       "      <th>pubTitle</th>\n",
       "      <th>traitReported</th>\n",
       "      <th>ancestryInitial</th>\n",
       "      <th>gene_id</th>\n",
       "      <th>gene_symbol</th>\n",
       "      <th>variant_V2G_id</th>\n",
       "      <th>variant_V2G_symbol</th>\n",
       "      <th>nInitial</th>\n",
       "      <th>numAssocLoci</th>\n",
       "      <th>source</th>\n",
       "      <th>source_otg</th>\n",
       "      <th>traitEfos</th>\n",
       "      <th>hasSumstats</th>\n",
       "      <th>ancestryReplication</th>\n",
       "      <th>nReplication</th>\n",
       "      <th>nCases</th>\n",
       "      <th>traitCategory</th>\n",
       "      <th>nTotal</th>\n",
       "      <th>variant_gene_id_pairs</th>\n",
       "      <th>variant_gene_symbol_pairs</th>\n",
       "      <th>traitEfosStr</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>uniq_index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>GCST90013473_Biological sex</th>\n",
       "      <td>GCST90013473</td>\n",
       "      <td>PMID:33888908</td>\n",
       "      <td>Pirastu N</td>\n",
       "      <td>2021-04-22</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>Genetic analyses identify widespread sex-diffe...</td>\n",
       "      <td>Biological sex</td>\n",
       "      <td>[European=2462132]</td>\n",
       "      <td>(ENSG00000173406, ENSG00000033122, ENSG0000014...</td>\n",
       "      <td>(DAB1, LRRC7, BARHL2, KRTCAP2, KIAA0040, BRINP...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2462132</td>\n",
       "      <td>162</td>\n",
       "      <td>otg</td>\n",
       "      <td>GCST</td>\n",
       "      <td>[PATO_0000047]</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1301549.0</td>\n",
       "      <td>Uncategorised</td>\n",
       "      <td>2462132.0</td>\n",
       "      <td>(((ENSG00000173406,), 1_58360875_T_G), ((ENSG0...</td>\n",
       "      <td>(((DAB1,), 1_58360875_T_G), ((LRRC7,), 1_69595...</td>\n",
       "      <td>['PATO_0000047']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST007341_Well-being spectrum (multivariate analysis)</th>\n",
       "      <td>GCST007341</td>\n",
       "      <td>PMID:30643256</td>\n",
       "      <td>Baselmans BML</td>\n",
       "      <td>2019-01-14</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>Multivariate genome-wide analyses of the well-...</td>\n",
       "      <td>Well-being spectrum (multivariate analysis)</td>\n",
       "      <td>[European=2083151]</td>\n",
       "      <td>(ENSG00000162426, ENSG00000127483, ENSG0000011...</td>\n",
       "      <td>(SLC45A1, HP1BP3, CSF3R, GRIK3, TAL1, NEGR1, L...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2083151</td>\n",
       "      <td>231</td>\n",
       "      <td>otg</td>\n",
       "      <td>GCST</td>\n",
       "      <td>[EFO_0007869]</td>\n",
       "      <td>False</td>\n",
       "      <td>[European=287239]</td>\n",
       "      <td>287239.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>measurement</td>\n",
       "      <td>2370390.0</td>\n",
       "      <td>(((ENSG00000162426,), 1_8422018_C_T), ((ENSG00...</td>\n",
       "      <td>(((SLC45A1,), 1_8422018_C_T), ((HP1BP3,), 1_20...</td>\n",
       "      <td>['EFO_0007869']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST011081_COVID-19 (hospitalized vs population) RELEASE 5</th>\n",
       "      <td>GCST011081</td>\n",
       "      <td>PMID:32404885</td>\n",
       "      <td>COVID-19 Host Genetics Initiative</td>\n",
       "      <td>2020-05-13</td>\n",
       "      <td>Eur J Hum Genet</td>\n",
       "      <td>The COVID-19 Host Genetics Initiative, a globa...</td>\n",
       "      <td>COVID-19 (hospitalized vs population) RELEASE 5</td>\n",
       "      <td>[European=1887658]</td>\n",
       "      <td>(ENSG00000173585, ENSG00000170419, ENSG0000008...</td>\n",
       "      <td>(CCR9, VSTM2A, OAS1, OAS3, DPP9, IFNAR2, AP000...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1887658</td>\n",
       "      <td>5</td>\n",
       "      <td>otg</td>\n",
       "      <td>GCST</td>\n",
       "      <td>[MONDO_0100096]</td>\n",
       "      <td>True</td>\n",
       "      <td>[]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9986.0</td>\n",
       "      <td>infectious disease</td>\n",
       "      <td>1887658.0</td>\n",
       "      <td>(((ENSG00000173585,), 3_45848429_A_T), ((ENSG0...</td>\n",
       "      <td>(((CCR9,), 3_45848429_A_T), ((VSTM2A,), 7_5458...</td>\n",
       "      <td>['MONDO_0100096']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST90013421_Left-handedness</th>\n",
       "      <td>GCST90013421</td>\n",
       "      <td>PMID:32989287</td>\n",
       "      <td>Cuellar-Partida G</td>\n",
       "      <td>2020-09-28</td>\n",
       "      <td>Nat Hum Behav</td>\n",
       "      <td>Genome-wide association study identifies 48 co...</td>\n",
       "      <td>Left-handedness</td>\n",
       "      <td>[European=1766671]</td>\n",
       "      <td>(ENSG00000126091, ENSG00000143153, ENSG0000016...</td>\n",
       "      <td>(ST3GAL3, ATP1B1, PPP1R21, SH3RF3, ITGAV, FAM1...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1766671</td>\n",
       "      <td>42</td>\n",
       "      <td>otg</td>\n",
       "      <td>GCST</td>\n",
       "      <td>[EFO_0009902]</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>phenotype</td>\n",
       "      <td>1766671.0</td>\n",
       "      <td>(((ENSG00000126091,), 1_43706787_C_T), ((ENSG0...</td>\n",
       "      <td>(((ST3GAL3,), 1_43706787_C_T), ((ATP1B1,), 1_1...</td>\n",
       "      <td>['EFO_0009902']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST011073_COVID-19 (RELEASE 5)</th>\n",
       "      <td>GCST011073</td>\n",
       "      <td>PMID:32404885</td>\n",
       "      <td>COVID-19 Host Genetics Initiative</td>\n",
       "      <td>2020-05-13</td>\n",
       "      <td>Eur J Hum Genet</td>\n",
       "      <td>The COVID-19 Host Genetics Initiative, a globa...</td>\n",
       "      <td>COVID-19 (RELEASE 5)</td>\n",
       "      <td>[European=1683768]</td>\n",
       "      <td>(ENSG00000169241, ENSG00000163817, ENSG0000018...</td>\n",
       "      <td>(SLC50A1, SLC6A20, CEP97, ABO, OAS2, ADAMTS17,...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1683768</td>\n",
       "      <td>8</td>\n",
       "      <td>otg</td>\n",
       "      <td>GCST</td>\n",
       "      <td>[MONDO_0100096]</td>\n",
       "      <td>True</td>\n",
       "      <td>[]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38984.0</td>\n",
       "      <td>infectious disease</td>\n",
       "      <td>1683768.0</td>\n",
       "      <td>(((ENSG00000169241,), 1_155133406_T_G), ((ENSG...</td>\n",
       "      <td>(((SLC50A1,), 1_155133406_T_G), ((SLC6A20,), 3...</td>\n",
       "      <td>['MONDO_0100096']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000814_Red blood cell traits_Mean corpuscular hemoglobin</th>\n",
       "      <td>GCST000814</td>\n",
       "      <td>20927387</td>\n",
       "      <td>Kullo IJ</td>\n",
       "      <td>2010-09-28</td>\n",
       "      <td>PLoS One</td>\n",
       "      <td>A genome-wide association study of red blood c...</td>\n",
       "      <td>Mean corpuscular hemoglobin</td>\n",
       "      <td>3,012 European ancestry individuals</td>\n",
       "      <td>(ENSG00000118514, ENSG00000010704, ENSG0000018...</td>\n",
       "      <td>(ALDH8A1, HFE, TMPRSS6)</td>\n",
       "      <td>((ENSG00000118514, 6_135131014_G_A), (ENSG0000...</td>\n",
       "      <td>((ALDH8A1, 6_135131014_G_A), (HFE, 6_26092913_...</td>\n",
       "      <td>3012</td>\n",
       "      <td>4</td>\n",
       "      <td>gwascat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000814_5_Red blood cell traits [RBC count]</th>\n",
       "      <td>GCST000814_5</td>\n",
       "      <td>PMID:20927387</td>\n",
       "      <td>Kullo IJ</td>\n",
       "      <td>2010-09-28</td>\n",
       "      <td>PLoS One</td>\n",
       "      <td>A genome-wide association study of red blood c...</td>\n",
       "      <td>Red blood cell traits [RBC count]</td>\n",
       "      <td>[European=3012]</td>\n",
       "      <td>(ENSG00000112339, ENSG00000118513)</td>\n",
       "      <td>(HBS1L, MYB)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3012</td>\n",
       "      <td>2</td>\n",
       "      <td>otg</td>\n",
       "      <td>GCST</td>\n",
       "      <td>[EFO_0004305]</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>measurement</td>\n",
       "      <td>3012.0</td>\n",
       "      <td>(((ENSG00000112339,), 6_135097497_C_T), ((ENSG...</td>\n",
       "      <td>(((HBS1L,), 6_135097497_C_T), ((MYB,), 6_13513...</td>\n",
       "      <td>['EFO_0004305']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000814_4_Red blood cell traits [MCV]</th>\n",
       "      <td>GCST000814_4</td>\n",
       "      <td>PMID:20927387</td>\n",
       "      <td>Kullo IJ</td>\n",
       "      <td>2010-09-28</td>\n",
       "      <td>PLoS One</td>\n",
       "      <td>A genome-wide association study of red blood c...</td>\n",
       "      <td>Red blood cell traits [MCV]</td>\n",
       "      <td>[European=3012]</td>\n",
       "      <td>(ENSG00000112339, ENSG00000118513, ENSG0000018...</td>\n",
       "      <td>(HBS1L, MYB, TMPRSS6)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3012</td>\n",
       "      <td>3</td>\n",
       "      <td>otg</td>\n",
       "      <td>GCST</td>\n",
       "      <td>[EFO_0004526]</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>measurement</td>\n",
       "      <td>3012.0</td>\n",
       "      <td>(((ENSG00000112339,), 6_135111414_T_C), ((ENSG...</td>\n",
       "      <td>(((HBS1L,), 6_135111414_T_C), ((MYB,), 6_13513...</td>\n",
       "      <td>['EFO_0004526']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000814_3_Red blood cell traits [MCH]</th>\n",
       "      <td>GCST000814_3</td>\n",
       "      <td>PMID:20927387</td>\n",
       "      <td>Kullo IJ</td>\n",
       "      <td>2010-09-28</td>\n",
       "      <td>PLoS One</td>\n",
       "      <td>A genome-wide association study of red blood c...</td>\n",
       "      <td>Red blood cell traits [MCH]</td>\n",
       "      <td>[European=3012]</td>\n",
       "      <td>(ENSG00000124568, ENSG00000010704, ENSG0000011...</td>\n",
       "      <td>(SLC17A1, HFE, HBS1L, MYB, TMPRSS6)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3012</td>\n",
       "      <td>5</td>\n",
       "      <td>otg</td>\n",
       "      <td>GCST</td>\n",
       "      <td>[EFO_0004527]</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>measurement</td>\n",
       "      <td>3012.0</td>\n",
       "      <td>(((ENSG00000124568,), 6_25821542_C_T), ((ENSG0...</td>\n",
       "      <td>(((SLC17A1,), 6_25821542_C_T), ((HFE,), 6_2609...</td>\n",
       "      <td>['EFO_0004527']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST007844_Ankylosing spondylitis</th>\n",
       "      <td>GCST007844</td>\n",
       "      <td>PMID:30946743</td>\n",
       "      <td>Li Z</td>\n",
       "      <td>2019-04-04</td>\n",
       "      <td>PLoS Genet</td>\n",
       "      <td>Genome-wide association study in Turkish and I...</td>\n",
       "      <td>Ankylosing spondylitis</td>\n",
       "      <td>[Other=1828, Greater Middle Eastern (Middle Ea...</td>\n",
       "      <td>(ENSG00000170340, ENSG00000164307)</td>\n",
       "      <td>(B3GNT2, ERAP1)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3004</td>\n",
       "      <td>3</td>\n",
       "      <td>otg</td>\n",
       "      <td>GCST</td>\n",
       "      <td>[EFO_0003898]</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1343.0</td>\n",
       "      <td>musculoskeletal or connective tissue disease</td>\n",
       "      <td>3004.0</td>\n",
       "      <td>(((ENSG00000170340,), 2_62341086_A_G), ((ENSG0...</td>\n",
       "      <td>(((B3GNT2,), 2_62341086_A_G), ((ERAP1,), 5_967...</td>\n",
       "      <td>['EFO_0003898']</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7826 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                         studyId  \\\n",
       "uniq_index                                                         \n",
       "GCST90013473_Biological sex                         GCST90013473   \n",
       "GCST007341_Well-being spectrum (multivariate an...    GCST007341   \n",
       "GCST011081_COVID-19 (hospitalized vs population...    GCST011081   \n",
       "GCST90013421_Left-handedness                        GCST90013421   \n",
       "GCST011073_COVID-19 (RELEASE 5)                       GCST011073   \n",
       "...                                                          ...   \n",
       "GCST000814_Red blood cell traits_Mean corpuscul...    GCST000814   \n",
       "GCST000814_5_Red blood cell traits [RBC count]      GCST000814_5   \n",
       "GCST000814_4_Red blood cell traits [MCV]            GCST000814_4   \n",
       "GCST000814_3_Red blood cell traits [MCH]            GCST000814_3   \n",
       "GCST007844_Ankylosing spondylitis                     GCST007844   \n",
       "\n",
       "                                                             pmid  \\\n",
       "uniq_index                                                          \n",
       "GCST90013473_Biological sex                         PMID:33888908   \n",
       "GCST007341_Well-being spectrum (multivariate an...  PMID:30643256   \n",
       "GCST011081_COVID-19 (hospitalized vs population...  PMID:32404885   \n",
       "GCST90013421_Left-handedness                        PMID:32989287   \n",
       "GCST011073_COVID-19 (RELEASE 5)                     PMID:32404885   \n",
       "...                                                           ...   \n",
       "GCST000814_Red blood cell traits_Mean corpuscul...       20927387   \n",
       "GCST000814_5_Red blood cell traits [RBC count]      PMID:20927387   \n",
       "GCST000814_4_Red blood cell traits [MCV]            PMID:20927387   \n",
       "GCST000814_3_Red blood cell traits [MCH]            PMID:20927387   \n",
       "GCST007844_Ankylosing spondylitis                   PMID:30946743   \n",
       "\n",
       "                                                                            pubAuthor  \\\n",
       "uniq_index                                                                              \n",
       "GCST90013473_Biological sex                                                 Pirastu N   \n",
       "GCST007341_Well-being spectrum (multivariate an...                      Baselmans BML   \n",
       "GCST011081_COVID-19 (hospitalized vs population...  COVID-19 Host Genetics Initiative   \n",
       "GCST90013421_Left-handedness                                        Cuellar-Partida G   \n",
       "GCST011073_COVID-19 (RELEASE 5)                     COVID-19 Host Genetics Initiative   \n",
       "...                                                                               ...   \n",
       "GCST000814_Red blood cell traits_Mean corpuscul...                           Kullo IJ   \n",
       "GCST000814_5_Red blood cell traits [RBC count]                               Kullo IJ   \n",
       "GCST000814_4_Red blood cell traits [MCV]                                     Kullo IJ   \n",
       "GCST000814_3_Red blood cell traits [MCH]                                     Kullo IJ   \n",
       "GCST007844_Ankylosing spondylitis                                                Li Z   \n",
       "\n",
       "                                                       pubDate  \\\n",
       "uniq_index                                                       \n",
       "GCST90013473_Biological sex                         2021-04-22   \n",
       "GCST007341_Well-being spectrum (multivariate an...  2019-01-14   \n",
       "GCST011081_COVID-19 (hospitalized vs population...  2020-05-13   \n",
       "GCST90013421_Left-handedness                        2020-09-28   \n",
       "GCST011073_COVID-19 (RELEASE 5)                     2020-05-13   \n",
       "...                                                        ...   \n",
       "GCST000814_Red blood cell traits_Mean corpuscul...  2010-09-28   \n",
       "GCST000814_5_Red blood cell traits [RBC count]      2010-09-28   \n",
       "GCST000814_4_Red blood cell traits [MCV]            2010-09-28   \n",
       "GCST000814_3_Red blood cell traits [MCH]            2010-09-28   \n",
       "GCST007844_Ankylosing spondylitis                   2019-04-04   \n",
       "\n",
       "                                                         pubJournal  \\\n",
       "uniq_index                                                            \n",
       "GCST90013473_Biological sex                               Nat Genet   \n",
       "GCST007341_Well-being spectrum (multivariate an...        Nat Genet   \n",
       "GCST011081_COVID-19 (hospitalized vs population...  Eur J Hum Genet   \n",
       "GCST90013421_Left-handedness                          Nat Hum Behav   \n",
       "GCST011073_COVID-19 (RELEASE 5)                     Eur J Hum Genet   \n",
       "...                                                             ...   \n",
       "GCST000814_Red blood cell traits_Mean corpuscul...         PLoS One   \n",
       "GCST000814_5_Red blood cell traits [RBC count]             PLoS One   \n",
       "GCST000814_4_Red blood cell traits [MCV]                   PLoS One   \n",
       "GCST000814_3_Red blood cell traits [MCH]                   PLoS One   \n",
       "GCST007844_Ankylosing spondylitis                        PLoS Genet   \n",
       "\n",
       "                                                                                             pubTitle  \\\n",
       "uniq_index                                                                                              \n",
       "GCST90013473_Biological sex                         Genetic analyses identify widespread sex-diffe...   \n",
       "GCST007341_Well-being spectrum (multivariate an...  Multivariate genome-wide analyses of the well-...   \n",
       "GCST011081_COVID-19 (hospitalized vs population...  The COVID-19 Host Genetics Initiative, a globa...   \n",
       "GCST90013421_Left-handedness                        Genome-wide association study identifies 48 co...   \n",
       "GCST011073_COVID-19 (RELEASE 5)                     The COVID-19 Host Genetics Initiative, a globa...   \n",
       "...                                                                                               ...   \n",
       "GCST000814_Red blood cell traits_Mean corpuscul...  A genome-wide association study of red blood c...   \n",
       "GCST000814_5_Red blood cell traits [RBC count]      A genome-wide association study of red blood c...   \n",
       "GCST000814_4_Red blood cell traits [MCV]            A genome-wide association study of red blood c...   \n",
       "GCST000814_3_Red blood cell traits [MCH]            A genome-wide association study of red blood c...   \n",
       "GCST007844_Ankylosing spondylitis                   Genome-wide association study in Turkish and I...   \n",
       "\n",
       "                                                                                      traitReported  \\\n",
       "uniq_index                                                                                            \n",
       "GCST90013473_Biological sex                                                          Biological sex   \n",
       "GCST007341_Well-being spectrum (multivariate an...      Well-being spectrum (multivariate analysis)   \n",
       "GCST011081_COVID-19 (hospitalized vs population...  COVID-19 (hospitalized vs population) RELEASE 5   \n",
       "GCST90013421_Left-handedness                                                        Left-handedness   \n",
       "GCST011073_COVID-19 (RELEASE 5)                                                COVID-19 (RELEASE 5)   \n",
       "...                                                                                             ...   \n",
       "GCST000814_Red blood cell traits_Mean corpuscul...                      Mean corpuscular hemoglobin   \n",
       "GCST000814_5_Red blood cell traits [RBC count]                    Red blood cell traits [RBC count]   \n",
       "GCST000814_4_Red blood cell traits [MCV]                                Red blood cell traits [MCV]   \n",
       "GCST000814_3_Red blood cell traits [MCH]                                Red blood cell traits [MCH]   \n",
       "GCST007844_Ankylosing spondylitis                                            Ankylosing spondylitis   \n",
       "\n",
       "                                                                                      ancestryInitial  \\\n",
       "uniq_index                                                                                              \n",
       "GCST90013473_Biological sex                                                        [European=2462132]   \n",
       "GCST007341_Well-being spectrum (multivariate an...                                 [European=2083151]   \n",
       "GCST011081_COVID-19 (hospitalized vs population...                                 [European=1887658]   \n",
       "GCST90013421_Left-handedness                                                       [European=1766671]   \n",
       "GCST011073_COVID-19 (RELEASE 5)                                                    [European=1683768]   \n",
       "...                                                                                               ...   \n",
       "GCST000814_Red blood cell traits_Mean corpuscul...                3,012 European ancestry individuals   \n",
       "GCST000814_5_Red blood cell traits [RBC count]                                        [European=3012]   \n",
       "GCST000814_4_Red blood cell traits [MCV]                                              [European=3012]   \n",
       "GCST000814_3_Red blood cell traits [MCH]                                              [European=3012]   \n",
       "GCST007844_Ankylosing spondylitis                   [Other=1828, Greater Middle Eastern (Middle Ea...   \n",
       "\n",
       "                                                                                              gene_id  \\\n",
       "uniq_index                                                                                              \n",
       "GCST90013473_Biological sex                         (ENSG00000173406, ENSG00000033122, ENSG0000014...   \n",
       "GCST007341_Well-being spectrum (multivariate an...  (ENSG00000162426, ENSG00000127483, ENSG0000011...   \n",
       "GCST011081_COVID-19 (hospitalized vs population...  (ENSG00000173585, ENSG00000170419, ENSG0000008...   \n",
       "GCST90013421_Left-handedness                        (ENSG00000126091, ENSG00000143153, ENSG0000016...   \n",
       "GCST011073_COVID-19 (RELEASE 5)                     (ENSG00000169241, ENSG00000163817, ENSG0000018...   \n",
       "...                                                                                               ...   \n",
       "GCST000814_Red blood cell traits_Mean corpuscul...  (ENSG00000118514, ENSG00000010704, ENSG0000018...   \n",
       "GCST000814_5_Red blood cell traits [RBC count]                     (ENSG00000112339, ENSG00000118513)   \n",
       "GCST000814_4_Red blood cell traits [MCV]            (ENSG00000112339, ENSG00000118513, ENSG0000018...   \n",
       "GCST000814_3_Red blood cell traits [MCH]            (ENSG00000124568, ENSG00000010704, ENSG0000011...   \n",
       "GCST007844_Ankylosing spondylitis                                  (ENSG00000170340, ENSG00000164307)   \n",
       "\n",
       "                                                                                          gene_symbol  \\\n",
       "uniq_index                                                                                              \n",
       "GCST90013473_Biological sex                         (DAB1, LRRC7, BARHL2, KRTCAP2, KIAA0040, BRINP...   \n",
       "GCST007341_Well-being spectrum (multivariate an...  (SLC45A1, HP1BP3, CSF3R, GRIK3, TAL1, NEGR1, L...   \n",
       "GCST011081_COVID-19 (hospitalized vs population...  (CCR9, VSTM2A, OAS1, OAS3, DPP9, IFNAR2, AP000...   \n",
       "GCST90013421_Left-handedness                        (ST3GAL3, ATP1B1, PPP1R21, SH3RF3, ITGAV, FAM1...   \n",
       "GCST011073_COVID-19 (RELEASE 5)                     (SLC50A1, SLC6A20, CEP97, ABO, OAS2, ADAMTS17,...   \n",
       "...                                                                                               ...   \n",
       "GCST000814_Red blood cell traits_Mean corpuscul...                            (ALDH8A1, HFE, TMPRSS6)   \n",
       "GCST000814_5_Red blood cell traits [RBC count]                                           (HBS1L, MYB)   \n",
       "GCST000814_4_Red blood cell traits [MCV]                                        (HBS1L, MYB, TMPRSS6)   \n",
       "GCST000814_3_Red blood cell traits [MCH]                          (SLC17A1, HFE, HBS1L, MYB, TMPRSS6)   \n",
       "GCST007844_Ankylosing spondylitis                                                     (B3GNT2, ERAP1)   \n",
       "\n",
       "                                                                                       variant_V2G_id  \\\n",
       "uniq_index                                                                                              \n",
       "GCST90013473_Biological sex                                                                       NaN   \n",
       "GCST007341_Well-being spectrum (multivariate an...                                                NaN   \n",
       "GCST011081_COVID-19 (hospitalized vs population...                                                NaN   \n",
       "GCST90013421_Left-handedness                                                                      NaN   \n",
       "GCST011073_COVID-19 (RELEASE 5)                                                                   NaN   \n",
       "...                                                                                               ...   \n",
       "GCST000814_Red blood cell traits_Mean corpuscul...  ((ENSG00000118514, 6_135131014_G_A), (ENSG0000...   \n",
       "GCST000814_5_Red blood cell traits [RBC count]                                                    NaN   \n",
       "GCST000814_4_Red blood cell traits [MCV]                                                          NaN   \n",
       "GCST000814_3_Red blood cell traits [MCH]                                                          NaN   \n",
       "GCST007844_Ankylosing spondylitis                                                                 NaN   \n",
       "\n",
       "                                                                                   variant_V2G_symbol  \\\n",
       "uniq_index                                                                                              \n",
       "GCST90013473_Biological sex                                                                       NaN   \n",
       "GCST007341_Well-being spectrum (multivariate an...                                                NaN   \n",
       "GCST011081_COVID-19 (hospitalized vs population...                                                NaN   \n",
       "GCST90013421_Left-handedness                                                                      NaN   \n",
       "GCST011073_COVID-19 (RELEASE 5)                                                                   NaN   \n",
       "...                                                                                               ...   \n",
       "GCST000814_Red blood cell traits_Mean corpuscul...  ((ALDH8A1, 6_135131014_G_A), (HFE, 6_26092913_...   \n",
       "GCST000814_5_Red blood cell traits [RBC count]                                                    NaN   \n",
       "GCST000814_4_Red blood cell traits [MCV]                                                          NaN   \n",
       "GCST000814_3_Red blood cell traits [MCH]                                                          NaN   \n",
       "GCST007844_Ankylosing spondylitis                                                                 NaN   \n",
       "\n",
       "                                                    nInitial  numAssocLoci  \\\n",
       "uniq_index                                                                   \n",
       "GCST90013473_Biological sex                          2462132           162   \n",
       "GCST007341_Well-being spectrum (multivariate an...   2083151           231   \n",
       "GCST011081_COVID-19 (hospitalized vs population...   1887658             5   \n",
       "GCST90013421_Left-handedness                         1766671            42   \n",
       "GCST011073_COVID-19 (RELEASE 5)                      1683768             8   \n",
       "...                                                      ...           ...   \n",
       "GCST000814_Red blood cell traits_Mean corpuscul...      3012             4   \n",
       "GCST000814_5_Red blood cell traits [RBC count]          3012             2   \n",
       "GCST000814_4_Red blood cell traits [MCV]                3012             3   \n",
       "GCST000814_3_Red blood cell traits [MCH]                3012             5   \n",
       "GCST007844_Ankylosing spondylitis                       3004             3   \n",
       "\n",
       "                                                     source source_otg  \\\n",
       "uniq_index                                                               \n",
       "GCST90013473_Biological sex                             otg       GCST   \n",
       "GCST007341_Well-being spectrum (multivariate an...      otg       GCST   \n",
       "GCST011081_COVID-19 (hospitalized vs population...      otg       GCST   \n",
       "GCST90013421_Left-handedness                            otg       GCST   \n",
       "GCST011073_COVID-19 (RELEASE 5)                         otg       GCST   \n",
       "...                                                     ...        ...   \n",
       "GCST000814_Red blood cell traits_Mean corpuscul...  gwascat        NaN   \n",
       "GCST000814_5_Red blood cell traits [RBC count]          otg       GCST   \n",
       "GCST000814_4_Red blood cell traits [MCV]                otg       GCST   \n",
       "GCST000814_3_Red blood cell traits [MCH]                otg       GCST   \n",
       "GCST007844_Ankylosing spondylitis                       otg       GCST   \n",
       "\n",
       "                                                          traitEfos  \\\n",
       "uniq_index                                                            \n",
       "GCST90013473_Biological sex                          [PATO_0000047]   \n",
       "GCST007341_Well-being spectrum (multivariate an...    [EFO_0007869]   \n",
       "GCST011081_COVID-19 (hospitalized vs population...  [MONDO_0100096]   \n",
       "GCST90013421_Left-handedness                          [EFO_0009902]   \n",
       "GCST011073_COVID-19 (RELEASE 5)                     [MONDO_0100096]   \n",
       "...                                                             ...   \n",
       "GCST000814_Red blood cell traits_Mean corpuscul...              NaN   \n",
       "GCST000814_5_Red blood cell traits [RBC count]        [EFO_0004305]   \n",
       "GCST000814_4_Red blood cell traits [MCV]              [EFO_0004526]   \n",
       "GCST000814_3_Red blood cell traits [MCH]              [EFO_0004527]   \n",
       "GCST007844_Ankylosing spondylitis                     [EFO_0003898]   \n",
       "\n",
       "                                                   hasSumstats  \\\n",
       "uniq_index                                                       \n",
       "GCST90013473_Biological sex                              False   \n",
       "GCST007341_Well-being spectrum (multivariate an...       False   \n",
       "GCST011081_COVID-19 (hospitalized vs population...        True   \n",
       "GCST90013421_Left-handedness                             False   \n",
       "GCST011073_COVID-19 (RELEASE 5)                           True   \n",
       "...                                                        ...   \n",
       "GCST000814_Red blood cell traits_Mean corpuscul...         NaN   \n",
       "GCST000814_5_Red blood cell traits [RBC count]           False   \n",
       "GCST000814_4_Red blood cell traits [MCV]                 False   \n",
       "GCST000814_3_Red blood cell traits [MCH]                 False   \n",
       "GCST007844_Ankylosing spondylitis                        False   \n",
       "\n",
       "                                                   ancestryReplication  \\\n",
       "uniq_index                                                               \n",
       "GCST90013473_Biological sex                                         []   \n",
       "GCST007341_Well-being spectrum (multivariate an...   [European=287239]   \n",
       "GCST011081_COVID-19 (hospitalized vs population...                  []   \n",
       "GCST90013421_Left-handedness                                        []   \n",
       "GCST011073_COVID-19 (RELEASE 5)                                     []   \n",
       "...                                                                ...   \n",
       "GCST000814_Red blood cell traits_Mean corpuscul...                 NaN   \n",
       "GCST000814_5_Red blood cell traits [RBC count]                      []   \n",
       "GCST000814_4_Red blood cell traits [MCV]                            []   \n",
       "GCST000814_3_Red blood cell traits [MCH]                            []   \n",
       "GCST007844_Ankylosing spondylitis                                   []   \n",
       "\n",
       "                                                   nReplication     nCases  \\\n",
       "uniq_index                                                                   \n",
       "GCST90013473_Biological sex                                 NaN  1301549.0   \n",
       "GCST007341_Well-being spectrum (multivariate an...     287239.0        NaN   \n",
       "GCST011081_COVID-19 (hospitalized vs population...          NaN     9986.0   \n",
       "GCST90013421_Left-handedness                                NaN        NaN   \n",
       "GCST011073_COVID-19 (RELEASE 5)                             NaN    38984.0   \n",
       "...                                                         ...        ...   \n",
       "GCST000814_Red blood cell traits_Mean corpuscul...          NaN        NaN   \n",
       "GCST000814_5_Red blood cell traits [RBC count]              NaN        NaN   \n",
       "GCST000814_4_Red blood cell traits [MCV]                    NaN        NaN   \n",
       "GCST000814_3_Red blood cell traits [MCH]                    NaN        NaN   \n",
       "GCST007844_Ankylosing spondylitis                           NaN     1343.0   \n",
       "\n",
       "                                                                                   traitCategory  \\\n",
       "uniq_index                                                                                         \n",
       "GCST90013473_Biological sex                                                        Uncategorised   \n",
       "GCST007341_Well-being spectrum (multivariate an...                                   measurement   \n",
       "GCST011081_COVID-19 (hospitalized vs population...                            infectious disease   \n",
       "GCST90013421_Left-handedness                                                           phenotype   \n",
       "GCST011073_COVID-19 (RELEASE 5)                                               infectious disease   \n",
       "...                                                                                          ...   \n",
       "GCST000814_Red blood cell traits_Mean corpuscul...                                           NaN   \n",
       "GCST000814_5_Red blood cell traits [RBC count]                                       measurement   \n",
       "GCST000814_4_Red blood cell traits [MCV]                                             measurement   \n",
       "GCST000814_3_Red blood cell traits [MCH]                                             measurement   \n",
       "GCST007844_Ankylosing spondylitis                   musculoskeletal or connective tissue disease   \n",
       "\n",
       "                                                       nTotal  \\\n",
       "uniq_index                                                      \n",
       "GCST90013473_Biological sex                         2462132.0   \n",
       "GCST007341_Well-being spectrum (multivariate an...  2370390.0   \n",
       "GCST011081_COVID-19 (hospitalized vs population...  1887658.0   \n",
       "GCST90013421_Left-handedness                        1766671.0   \n",
       "GCST011073_COVID-19 (RELEASE 5)                     1683768.0   \n",
       "...                                                       ...   \n",
       "GCST000814_Red blood cell traits_Mean corpuscul...        NaN   \n",
       "GCST000814_5_Red blood cell traits [RBC count]         3012.0   \n",
       "GCST000814_4_Red blood cell traits [MCV]               3012.0   \n",
       "GCST000814_3_Red blood cell traits [MCH]               3012.0   \n",
       "GCST007844_Ankylosing spondylitis                      3004.0   \n",
       "\n",
       "                                                                                variant_gene_id_pairs  \\\n",
       "uniq_index                                                                                              \n",
       "GCST90013473_Biological sex                         (((ENSG00000173406,), 1_58360875_T_G), ((ENSG0...   \n",
       "GCST007341_Well-being spectrum (multivariate an...  (((ENSG00000162426,), 1_8422018_C_T), ((ENSG00...   \n",
       "GCST011081_COVID-19 (hospitalized vs population...  (((ENSG00000173585,), 3_45848429_A_T), ((ENSG0...   \n",
       "GCST90013421_Left-handedness                        (((ENSG00000126091,), 1_43706787_C_T), ((ENSG0...   \n",
       "GCST011073_COVID-19 (RELEASE 5)                     (((ENSG00000169241,), 1_155133406_T_G), ((ENSG...   \n",
       "...                                                                                               ...   \n",
       "GCST000814_Red blood cell traits_Mean corpuscul...                                                NaN   \n",
       "GCST000814_5_Red blood cell traits [RBC count]      (((ENSG00000112339,), 6_135097497_C_T), ((ENSG...   \n",
       "GCST000814_4_Red blood cell traits [MCV]            (((ENSG00000112339,), 6_135111414_T_C), ((ENSG...   \n",
       "GCST000814_3_Red blood cell traits [MCH]            (((ENSG00000124568,), 6_25821542_C_T), ((ENSG0...   \n",
       "GCST007844_Ankylosing spondylitis                   (((ENSG00000170340,), 2_62341086_A_G), ((ENSG0...   \n",
       "\n",
       "                                                                            variant_gene_symbol_pairs  \\\n",
       "uniq_index                                                                                              \n",
       "GCST90013473_Biological sex                         (((DAB1,), 1_58360875_T_G), ((LRRC7,), 1_69595...   \n",
       "GCST007341_Well-being spectrum (multivariate an...  (((SLC45A1,), 1_8422018_C_T), ((HP1BP3,), 1_20...   \n",
       "GCST011081_COVID-19 (hospitalized vs population...  (((CCR9,), 3_45848429_A_T), ((VSTM2A,), 7_5458...   \n",
       "GCST90013421_Left-handedness                        (((ST3GAL3,), 1_43706787_C_T), ((ATP1B1,), 1_1...   \n",
       "GCST011073_COVID-19 (RELEASE 5)                     (((SLC50A1,), 1_155133406_T_G), ((SLC6A20,), 3...   \n",
       "...                                                                                               ...   \n",
       "GCST000814_Red blood cell traits_Mean corpuscul...                                                NaN   \n",
       "GCST000814_5_Red blood cell traits [RBC count]      (((HBS1L,), 6_135097497_C_T), ((MYB,), 6_13513...   \n",
       "GCST000814_4_Red blood cell traits [MCV]            (((HBS1L,), 6_135111414_T_C), ((MYB,), 6_13513...   \n",
       "GCST000814_3_Red blood cell traits [MCH]            (((SLC17A1,), 6_25821542_C_T), ((HFE,), 6_2609...   \n",
       "GCST007844_Ankylosing spondylitis                   (((B3GNT2,), 2_62341086_A_G), ((ERAP1,), 5_967...   \n",
       "\n",
       "                                                         traitEfosStr  \n",
       "uniq_index                                                             \n",
       "GCST90013473_Biological sex                          ['PATO_0000047']  \n",
       "GCST007341_Well-being spectrum (multivariate an...    ['EFO_0007869']  \n",
       "GCST011081_COVID-19 (hospitalized vs population...  ['MONDO_0100096']  \n",
       "GCST90013421_Left-handedness                          ['EFO_0009902']  \n",
       "GCST011073_COVID-19 (RELEASE 5)                     ['MONDO_0100096']  \n",
       "...                                                               ...  \n",
       "GCST000814_Red blood cell traits_Mean corpuscul...                     \n",
       "GCST000814_5_Red blood cell traits [RBC count]        ['EFO_0004305']  \n",
       "GCST000814_4_Red blood cell traits [MCV]              ['EFO_0004526']  \n",
       "GCST000814_3_Red blood cell traits [MCH]              ['EFO_0004527']  \n",
       "GCST007844_Ankylosing spondylitis                     ['EFO_0003898']  \n",
       "\n",
       "[7826 rows x 26 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.options.display.min_rows = 10\n",
    "gwas.sort_values('nInitial', ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Remove \"None of the above\" traits"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>studyId</th>\n",
       "      <th>pmid</th>\n",
       "      <th>pubAuthor</th>\n",
       "      <th>pubDate</th>\n",
       "      <th>pubJournal</th>\n",
       "      <th>pubTitle</th>\n",
       "      <th>traitReported</th>\n",
       "      <th>ancestryInitial</th>\n",
       "      <th>gene_id</th>\n",
       "      <th>gene_symbol</th>\n",
       "      <th>variant_V2G_id</th>\n",
       "      <th>variant_V2G_symbol</th>\n",
       "      <th>nInitial</th>\n",
       "      <th>numAssocLoci</th>\n",
       "      <th>source</th>\n",
       "      <th>source_otg</th>\n",
       "      <th>traitEfos</th>\n",
       "      <th>hasSumstats</th>\n",
       "      <th>ancestryReplication</th>\n",
       "      <th>nReplication</th>\n",
       "      <th>nCases</th>\n",
       "      <th>traitCategory</th>\n",
       "      <th>nTotal</th>\n",
       "      <th>variant_gene_id_pairs</th>\n",
       "      <th>variant_gene_symbol_pairs</th>\n",
       "      <th>traitEfosStr</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>uniq_index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>GCST000248_Liver enzyme levels_Alkaline phosphatase measurement, liver enzyme measurement</th>\n",
       "      <td>GCST000248</td>\n",
       "      <td>18940312</td>\n",
       "      <td>Yuan X</td>\n",
       "      <td>2008-10-10</td>\n",
       "      <td>Am J Hum Genet</td>\n",
       "      <td>Population-based genome-wide association studi...</td>\n",
       "      <td>Alkaline phosphatase measurement, liver enzyme...</td>\n",
       "      <td>7,751 European ancestry individuals</td>\n",
       "      <td>(ENSG00000165476, ENSG00000112293, ENSG0000017...</td>\n",
       "      <td>(REEP3, GPLD1, ABO, NBPF3)</td>\n",
       "      <td>((ENSG00000165476, 10_63515167_A_G), (ENSG0000...</td>\n",
       "      <td>((REEP3, 10_63515167_A_G), (REEP3, 10_63361805...</td>\n",
       "      <td>7751</td>\n",
       "      <td>6</td>\n",
       "      <td>gwascat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000248_Liver enzyme levels_Liver enzyme measurement, serum alanine aminotransferase measurement</th>\n",
       "      <td>GCST000248</td>\n",
       "      <td>18940312</td>\n",
       "      <td>Yuan X</td>\n",
       "      <td>2008-10-10</td>\n",
       "      <td>Am J Hum Genet</td>\n",
       "      <td>Population-based genome-wide association studi...</td>\n",
       "      <td>Liver enzyme measurement, serum alanine aminot...</td>\n",
       "      <td>7,751 European ancestry individuals</td>\n",
       "      <td>(ENSG00000100347, ENSG00000095485)</td>\n",
       "      <td>(SAMM50, CWF19L1)</td>\n",
       "      <td>((ENSG00000100347, 22_43936690_G_A), (ENSG0000...</td>\n",
       "      <td>((SAMM50, 22_43936690_G_A), (CWF19L1, 10_10010...</td>\n",
       "      <td>7751</td>\n",
       "      <td>2</td>\n",
       "      <td>gwascat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000248_Liver enzyme levels_Liver enzyme measurement, serum gamma-glutamyl transferase measurement</th>\n",
       "      <td>GCST000248</td>\n",
       "      <td>18940312</td>\n",
       "      <td>Yuan X</td>\n",
       "      <td>2008-10-10</td>\n",
       "      <td>Am J Hum Genet</td>\n",
       "      <td>Population-based genome-wide association studi...</td>\n",
       "      <td>Liver enzyme measurement, serum gamma-glutamyl...</td>\n",
       "      <td>7,751 European ancestry individuals</td>\n",
       "      <td>(ENSG00000157895, ENSG00000100031)</td>\n",
       "      <td>(C12orf43, GGT1)</td>\n",
       "      <td>((ENSG00000157895, 12_121004867_T_C), (ENSG000...</td>\n",
       "      <td>((C12orf43, 12_121004867_T_C), (GGT1, 22_24594...</td>\n",
       "      <td>7751</td>\n",
       "      <td>2</td>\n",
       "      <td>gwascat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000292_Metabolic traits_Inflammatory response</th>\n",
       "      <td>GCST000292</td>\n",
       "      <td>19060910</td>\n",
       "      <td>Sabatti C</td>\n",
       "      <td>2008-12-07</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>Genome-wide association analysis of metabolic ...</td>\n",
       "      <td>Inflammatory response</td>\n",
       "      <td>4,763 Northern Finnish founder individuals</td>\n",
       "      <td>(ENSG00000157895, ENSG00000158716)</td>\n",
       "      <td>(C12orf43, DUSP23)</td>\n",
       "      <td>((ENSG00000157895, 12_120951159_A_C), (ENSG000...</td>\n",
       "      <td>((C12orf43, 12_120951159_A_C), (DUSP23, 1_1597...</td>\n",
       "      <td>4763</td>\n",
       "      <td>2</td>\n",
       "      <td>gwascat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000292_Metabolic traits_Triglyceride measurement</th>\n",
       "      <td>GCST000292</td>\n",
       "      <td>19060910</td>\n",
       "      <td>Sabatti C</td>\n",
       "      <td>2008-12-07</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>Genome-wide association analysis of metabolic ...</td>\n",
       "      <td>Triglyceride measurement</td>\n",
       "      <td>4,763 Northern Finnish founder individuals</td>\n",
       "      <td>(ENSG00000175445, ENSG00000084734)</td>\n",
       "      <td>(LPL, GCKR)</td>\n",
       "      <td>((ENSG00000175445, 8_19973410_C_T), (ENSG00000...</td>\n",
       "      <td>((LPL, 8_19973410_C_T), (GCKR, 2_27508073_T_C))</td>\n",
       "      <td>4763</td>\n",
       "      <td>2</td>\n",
       "      <td>gwascat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000403_Menarche and menopause (age at onset)_Age at menopause</th>\n",
       "      <td>GCST000403</td>\n",
       "      <td>19448621</td>\n",
       "      <td>He C</td>\n",
       "      <td>2009-05-17</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>Genome-wide association studies identify loci ...</td>\n",
       "      <td>Age at menopause</td>\n",
       "      <td>17,438 European ancestry female individuals</td>\n",
       "      <td>(ENSG00000160469, ENSG00000125885, ENSG0000015...</td>\n",
       "      <td>(BRSK1, MCM8, SYCP2L, UIMC1)</td>\n",
       "      <td>((ENSG00000160469, 19_55308477_C_T), (ENSG0000...</td>\n",
       "      <td>((BRSK1, 19_55308477_C_T), (MCM8, 20_5967581_G...</td>\n",
       "      <td>17438</td>\n",
       "      <td>4</td>\n",
       "      <td>gwascat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000498_Hematological parameters_Mean corpuscular volume</th>\n",
       "      <td>GCST000498</td>\n",
       "      <td>19820697</td>\n",
       "      <td>Soranzo N</td>\n",
       "      <td>2009-10-11</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>A genome-wide meta-analysis identifies 22 loci...</td>\n",
       "      <td>Mean corpuscular volume</td>\n",
       "      <td>4,627 European ancestry individuals</td>\n",
       "      <td>(ENSG00000112578, ENSG00000100225, ENSG0000011...</td>\n",
       "      <td>(BYSL, FBXO7, ALDH8A1, HFE)</td>\n",
       "      <td>((ENSG00000112578, 6_41957552_T_A), (ENSG00000...</td>\n",
       "      <td>((BYSL, 6_41957552_T_A), (FBXO7, 22_32471541_G...</td>\n",
       "      <td>4627</td>\n",
       "      <td>4</td>\n",
       "      <td>gwascat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000500_Other erythrocyte phenotypes_Erythrocyte count</th>\n",
       "      <td>GCST000500</td>\n",
       "      <td>19862010</td>\n",
       "      <td>Ganesh SK</td>\n",
       "      <td>2009-10-11</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>Multiple loci influence erythrocyte phenotypes...</td>\n",
       "      <td>Erythrocyte count</td>\n",
       "      <td>24,167 European ancestry individuals</td>\n",
       "      <td>(ENSG00000112339, ENSG00000146839)</td>\n",
       "      <td>(HBS1L, ZAN)</td>\n",
       "      <td>((ENSG00000112339, 6_135114363_T_C), (ENSG0000...</td>\n",
       "      <td>((HBS1L, 6_135114363_T_C), (ZAN, 7_100747483_G...</td>\n",
       "      <td>24167</td>\n",
       "      <td>2</td>\n",
       "      <td>gwascat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000500_Other erythrocyte phenotypes_Mean corpuscular hemoglobin concentration</th>\n",
       "      <td>GCST000500</td>\n",
       "      <td>19862010</td>\n",
       "      <td>Ganesh SK</td>\n",
       "      <td>2009-10-11</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>Multiple loci influence erythrocyte phenotypes...</td>\n",
       "      <td>Mean corpuscular hemoglobin concentration</td>\n",
       "      <td>24,167 European ancestry individuals</td>\n",
       "      <td>(ENSG00000163554, ENSG00000112339)</td>\n",
       "      <td>(SPTA1, HBS1L)</td>\n",
       "      <td>((ENSG00000163554, 1_158642758_T_A), (ENSG0000...</td>\n",
       "      <td>((SPTA1, 1_158642758_T_A), (HBS1L, 6_135102071...</td>\n",
       "      <td>24167</td>\n",
       "      <td>2</td>\n",
       "      <td>gwascat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000505_Iron status biomarkers_Iron biomarker measurement</th>\n",
       "      <td>GCST000505</td>\n",
       "      <td>19820699</td>\n",
       "      <td>Benyamin B</td>\n",
       "      <td>2009-10-11</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>Common variants in TMPRSS6 are associated with...</td>\n",
       "      <td>Iron biomarker measurement</td>\n",
       "      <td>4,818 European ancestry individuals</td>\n",
       "      <td>(ENSG00000187045, ENSG00000010704)</td>\n",
       "      <td>(TMPRSS6, HFE)</td>\n",
       "      <td>((ENSG00000187045, 22_37066896_A_G), (ENSG0000...</td>\n",
       "      <td>((TMPRSS6, 22_37066896_A_G), (HFE, 6_26092913_...</td>\n",
       "      <td>4818</td>\n",
       "      <td>2</td>\n",
       "      <td>gwascat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                       studyId      pmid  \\\n",
       "uniq_index                                                                 \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  GCST000248  18940312   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  GCST000248  18940312   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  GCST000248  18940312   \n",
       "GCST000292_Metabolic traits_Inflammatory response   GCST000292  19060910   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...  GCST000292  19060910   \n",
       "GCST000403_Menarche and menopause (age at onset...  GCST000403  19448621   \n",
       "GCST000498_Hematological parameters_Mean corpus...  GCST000498  19820697   \n",
       "GCST000500_Other erythrocyte phenotypes_Erythro...  GCST000500  19862010   \n",
       "GCST000500_Other erythrocyte phenotypes_Mean co...  GCST000500  19862010   \n",
       "GCST000505_Iron status biomarkers_Iron biomarke...  GCST000505  19820699   \n",
       "\n",
       "                                                     pubAuthor     pubDate  \\\n",
       "uniq_index                                                                   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...      Yuan X  2008-10-10   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...      Yuan X  2008-10-10   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...      Yuan X  2008-10-10   \n",
       "GCST000292_Metabolic traits_Inflammatory response    Sabatti C  2008-12-07   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...   Sabatti C  2008-12-07   \n",
       "GCST000403_Menarche and menopause (age at onset...        He C  2009-05-17   \n",
       "GCST000498_Hematological parameters_Mean corpus...   Soranzo N  2009-10-11   \n",
       "GCST000500_Other erythrocyte phenotypes_Erythro...   Ganesh SK  2009-10-11   \n",
       "GCST000500_Other erythrocyte phenotypes_Mean co...   Ganesh SK  2009-10-11   \n",
       "GCST000505_Iron status biomarkers_Iron biomarke...  Benyamin B  2009-10-11   \n",
       "\n",
       "                                                        pubJournal  \\\n",
       "uniq_index                                                           \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  Am J Hum Genet   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  Am J Hum Genet   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  Am J Hum Genet   \n",
       "GCST000292_Metabolic traits_Inflammatory response        Nat Genet   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...       Nat Genet   \n",
       "GCST000403_Menarche and menopause (age at onset...       Nat Genet   \n",
       "GCST000498_Hematological parameters_Mean corpus...       Nat Genet   \n",
       "GCST000500_Other erythrocyte phenotypes_Erythro...       Nat Genet   \n",
       "GCST000500_Other erythrocyte phenotypes_Mean co...       Nat Genet   \n",
       "GCST000505_Iron status biomarkers_Iron biomarke...       Nat Genet   \n",
       "\n",
       "                                                                                             pubTitle  \\\n",
       "uniq_index                                                                                              \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  Population-based genome-wide association studi...   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  Population-based genome-wide association studi...   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  Population-based genome-wide association studi...   \n",
       "GCST000292_Metabolic traits_Inflammatory response   Genome-wide association analysis of metabolic ...   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...  Genome-wide association analysis of metabolic ...   \n",
       "GCST000403_Menarche and menopause (age at onset...  Genome-wide association studies identify loci ...   \n",
       "GCST000498_Hematological parameters_Mean corpus...  A genome-wide meta-analysis identifies 22 loci...   \n",
       "GCST000500_Other erythrocyte phenotypes_Erythro...  Multiple loci influence erythrocyte phenotypes...   \n",
       "GCST000500_Other erythrocyte phenotypes_Mean co...  Multiple loci influence erythrocyte phenotypes...   \n",
       "GCST000505_Iron status biomarkers_Iron biomarke...  Common variants in TMPRSS6 are associated with...   \n",
       "\n",
       "                                                                                        traitReported  \\\n",
       "uniq_index                                                                                              \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  Alkaline phosphatase measurement, liver enzyme...   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  Liver enzyme measurement, serum alanine aminot...   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  Liver enzyme measurement, serum gamma-glutamyl...   \n",
       "GCST000292_Metabolic traits_Inflammatory response                               Inflammatory response   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...                           Triglyceride measurement   \n",
       "GCST000403_Menarche and menopause (age at onset...                                   Age at menopause   \n",
       "GCST000498_Hematological parameters_Mean corpus...                            Mean corpuscular volume   \n",
       "GCST000500_Other erythrocyte phenotypes_Erythro...                                  Erythrocyte count   \n",
       "GCST000500_Other erythrocyte phenotypes_Mean co...          Mean corpuscular hemoglobin concentration   \n",
       "GCST000505_Iron status biomarkers_Iron biomarke...                         Iron biomarker measurement   \n",
       "\n",
       "                                                                                ancestryInitial  \\\n",
       "uniq_index                                                                                        \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...          7,751 European ancestry individuals   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...          7,751 European ancestry individuals   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...          7,751 European ancestry individuals   \n",
       "GCST000292_Metabolic traits_Inflammatory response    4,763 Northern Finnish founder individuals   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...   4,763 Northern Finnish founder individuals   \n",
       "GCST000403_Menarche and menopause (age at onset...  17,438 European ancestry female individuals   \n",
       "GCST000498_Hematological parameters_Mean corpus...          4,627 European ancestry individuals   \n",
       "GCST000500_Other erythrocyte phenotypes_Erythro...         24,167 European ancestry individuals   \n",
       "GCST000500_Other erythrocyte phenotypes_Mean co...         24,167 European ancestry individuals   \n",
       "GCST000505_Iron status biomarkers_Iron biomarke...          4,818 European ancestry individuals   \n",
       "\n",
       "                                                                                              gene_id  \\\n",
       "uniq_index                                                                                              \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  (ENSG00000165476, ENSG00000112293, ENSG0000017...   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...                 (ENSG00000100347, ENSG00000095485)   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...                 (ENSG00000157895, ENSG00000100031)   \n",
       "GCST000292_Metabolic traits_Inflammatory response                  (ENSG00000157895, ENSG00000158716)   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...                 (ENSG00000175445, ENSG00000084734)   \n",
       "GCST000403_Menarche and menopause (age at onset...  (ENSG00000160469, ENSG00000125885, ENSG0000015...   \n",
       "GCST000498_Hematological parameters_Mean corpus...  (ENSG00000112578, ENSG00000100225, ENSG0000011...   \n",
       "GCST000500_Other erythrocyte phenotypes_Erythro...                 (ENSG00000112339, ENSG00000146839)   \n",
       "GCST000500_Other erythrocyte phenotypes_Mean co...                 (ENSG00000163554, ENSG00000112339)   \n",
       "GCST000505_Iron status biomarkers_Iron biomarke...                 (ENSG00000187045, ENSG00000010704)   \n",
       "\n",
       "                                                                     gene_symbol  \\\n",
       "uniq_index                                                                         \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...    (REEP3, GPLD1, ABO, NBPF3)   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...             (SAMM50, CWF19L1)   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...              (C12orf43, GGT1)   \n",
       "GCST000292_Metabolic traits_Inflammatory response             (C12orf43, DUSP23)   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...                   (LPL, GCKR)   \n",
       "GCST000403_Menarche and menopause (age at onset...  (BRSK1, MCM8, SYCP2L, UIMC1)   \n",
       "GCST000498_Hematological parameters_Mean corpus...   (BYSL, FBXO7, ALDH8A1, HFE)   \n",
       "GCST000500_Other erythrocyte phenotypes_Erythro...                  (HBS1L, ZAN)   \n",
       "GCST000500_Other erythrocyte phenotypes_Mean co...                (SPTA1, HBS1L)   \n",
       "GCST000505_Iron status biomarkers_Iron biomarke...                (TMPRSS6, HFE)   \n",
       "\n",
       "                                                                                       variant_V2G_id  \\\n",
       "uniq_index                                                                                              \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  ((ENSG00000165476, 10_63515167_A_G), (ENSG0000...   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  ((ENSG00000100347, 22_43936690_G_A), (ENSG0000...   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  ((ENSG00000157895, 12_121004867_T_C), (ENSG000...   \n",
       "GCST000292_Metabolic traits_Inflammatory response   ((ENSG00000157895, 12_120951159_A_C), (ENSG000...   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...  ((ENSG00000175445, 8_19973410_C_T), (ENSG00000...   \n",
       "GCST000403_Menarche and menopause (age at onset...  ((ENSG00000160469, 19_55308477_C_T), (ENSG0000...   \n",
       "GCST000498_Hematological parameters_Mean corpus...  ((ENSG00000112578, 6_41957552_T_A), (ENSG00000...   \n",
       "GCST000500_Other erythrocyte phenotypes_Erythro...  ((ENSG00000112339, 6_135114363_T_C), (ENSG0000...   \n",
       "GCST000500_Other erythrocyte phenotypes_Mean co...  ((ENSG00000163554, 1_158642758_T_A), (ENSG0000...   \n",
       "GCST000505_Iron status biomarkers_Iron biomarke...  ((ENSG00000187045, 22_37066896_A_G), (ENSG0000...   \n",
       "\n",
       "                                                                                   variant_V2G_symbol  \\\n",
       "uniq_index                                                                                              \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  ((REEP3, 10_63515167_A_G), (REEP3, 10_63361805...   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  ((SAMM50, 22_43936690_G_A), (CWF19L1, 10_10010...   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  ((C12orf43, 12_121004867_T_C), (GGT1, 22_24594...   \n",
       "GCST000292_Metabolic traits_Inflammatory response   ((C12orf43, 12_120951159_A_C), (DUSP23, 1_1597...   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...    ((LPL, 8_19973410_C_T), (GCKR, 2_27508073_T_C))   \n",
       "GCST000403_Menarche and menopause (age at onset...  ((BRSK1, 19_55308477_C_T), (MCM8, 20_5967581_G...   \n",
       "GCST000498_Hematological parameters_Mean corpus...  ((BYSL, 6_41957552_T_A), (FBXO7, 22_32471541_G...   \n",
       "GCST000500_Other erythrocyte phenotypes_Erythro...  ((HBS1L, 6_135114363_T_C), (ZAN, 7_100747483_G...   \n",
       "GCST000500_Other erythrocyte phenotypes_Mean co...  ((SPTA1, 1_158642758_T_A), (HBS1L, 6_135102071...   \n",
       "GCST000505_Iron status biomarkers_Iron biomarke...  ((TMPRSS6, 22_37066896_A_G), (HFE, 6_26092913_...   \n",
       "\n",
       "                                                    nInitial  numAssocLoci  \\\n",
       "uniq_index                                                                   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...      7751             6   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...      7751             2   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...      7751             2   \n",
       "GCST000292_Metabolic traits_Inflammatory response       4763             2   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...      4763             2   \n",
       "GCST000403_Menarche and menopause (age at onset...     17438             4   \n",
       "GCST000498_Hematological parameters_Mean corpus...      4627             4   \n",
       "GCST000500_Other erythrocyte phenotypes_Erythro...     24167             2   \n",
       "GCST000500_Other erythrocyte phenotypes_Mean co...     24167             2   \n",
       "GCST000505_Iron status biomarkers_Iron biomarke...      4818             2   \n",
       "\n",
       "                                                     source source_otg  \\\n",
       "uniq_index                                                               \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  gwascat        NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  gwascat        NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  gwascat        NaN   \n",
       "GCST000292_Metabolic traits_Inflammatory response   gwascat        NaN   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...  gwascat        NaN   \n",
       "GCST000403_Menarche and menopause (age at onset...  gwascat        NaN   \n",
       "GCST000498_Hematological parameters_Mean corpus...  gwascat        NaN   \n",
       "GCST000500_Other erythrocyte phenotypes_Erythro...  gwascat        NaN   \n",
       "GCST000500_Other erythrocyte phenotypes_Mean co...  gwascat        NaN   \n",
       "GCST000505_Iron status biomarkers_Iron biomarke...  gwascat        NaN   \n",
       "\n",
       "                                                   traitEfos hasSumstats  \\\n",
       "uniq_index                                                                 \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...       NaN         NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...       NaN         NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...       NaN         NaN   \n",
       "GCST000292_Metabolic traits_Inflammatory response        NaN         NaN   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...       NaN         NaN   \n",
       "GCST000403_Menarche and menopause (age at onset...       NaN         NaN   \n",
       "GCST000498_Hematological parameters_Mean corpus...       NaN         NaN   \n",
       "GCST000500_Other erythrocyte phenotypes_Erythro...       NaN         NaN   \n",
       "GCST000500_Other erythrocyte phenotypes_Mean co...       NaN         NaN   \n",
       "GCST000505_Iron status biomarkers_Iron biomarke...       NaN         NaN   \n",
       "\n",
       "                                                   ancestryReplication  \\\n",
       "uniq_index                                                               \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...                 NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...                 NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...                 NaN   \n",
       "GCST000292_Metabolic traits_Inflammatory response                  NaN   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...                 NaN   \n",
       "GCST000403_Menarche and menopause (age at onset...                 NaN   \n",
       "GCST000498_Hematological parameters_Mean corpus...                 NaN   \n",
       "GCST000500_Other erythrocyte phenotypes_Erythro...                 NaN   \n",
       "GCST000500_Other erythrocyte phenotypes_Mean co...                 NaN   \n",
       "GCST000505_Iron status biomarkers_Iron biomarke...                 NaN   \n",
       "\n",
       "                                                   nReplication nCases  \\\n",
       "uniq_index                                                               \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...          NaN    NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...          NaN    NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...          NaN    NaN   \n",
       "GCST000292_Metabolic traits_Inflammatory response           NaN    NaN   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...          NaN    NaN   \n",
       "GCST000403_Menarche and menopause (age at onset...          NaN    NaN   \n",
       "GCST000498_Hematological parameters_Mean corpus...          NaN    NaN   \n",
       "GCST000500_Other erythrocyte phenotypes_Erythro...          NaN    NaN   \n",
       "GCST000500_Other erythrocyte phenotypes_Mean co...          NaN    NaN   \n",
       "GCST000505_Iron status biomarkers_Iron biomarke...          NaN    NaN   \n",
       "\n",
       "                                                   traitCategory  nTotal  \\\n",
       "uniq_index                                                                 \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...           NaN     NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...           NaN     NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...           NaN     NaN   \n",
       "GCST000292_Metabolic traits_Inflammatory response            NaN     NaN   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...           NaN     NaN   \n",
       "GCST000403_Menarche and menopause (age at onset...           NaN     NaN   \n",
       "GCST000498_Hematological parameters_Mean corpus...           NaN     NaN   \n",
       "GCST000500_Other erythrocyte phenotypes_Erythro...           NaN     NaN   \n",
       "GCST000500_Other erythrocyte phenotypes_Mean co...           NaN     NaN   \n",
       "GCST000505_Iron status biomarkers_Iron biomarke...           NaN     NaN   \n",
       "\n",
       "                                                   variant_gene_id_pairs  \\\n",
       "uniq_index                                                                 \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...                   NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...                   NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...                   NaN   \n",
       "GCST000292_Metabolic traits_Inflammatory response                    NaN   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...                   NaN   \n",
       "GCST000403_Menarche and menopause (age at onset...                   NaN   \n",
       "GCST000498_Hematological parameters_Mean corpus...                   NaN   \n",
       "GCST000500_Other erythrocyte phenotypes_Erythro...                   NaN   \n",
       "GCST000500_Other erythrocyte phenotypes_Mean co...                   NaN   \n",
       "GCST000505_Iron status biomarkers_Iron biomarke...                   NaN   \n",
       "\n",
       "                                                   variant_gene_symbol_pairs  \\\n",
       "uniq_index                                                                     \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...                       NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...                       NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...                       NaN   \n",
       "GCST000292_Metabolic traits_Inflammatory response                        NaN   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...                       NaN   \n",
       "GCST000403_Menarche and menopause (age at onset...                       NaN   \n",
       "GCST000498_Hematological parameters_Mean corpus...                       NaN   \n",
       "GCST000500_Other erythrocyte phenotypes_Erythro...                       NaN   \n",
       "GCST000500_Other erythrocyte phenotypes_Mean co...                       NaN   \n",
       "GCST000505_Iron status biomarkers_Iron biomarke...                       NaN   \n",
       "\n",
       "                                                   traitEfosStr  \n",
       "uniq_index                                                       \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...               \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...               \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...               \n",
       "GCST000292_Metabolic traits_Inflammatory response                \n",
       "GCST000292_Metabolic traits_Triglyceride measur...               \n",
       "GCST000403_Menarche and menopause (age at onset...               \n",
       "GCST000498_Hematological parameters_Mean corpus...               \n",
       "GCST000500_Other erythrocyte phenotypes_Erythro...               \n",
       "GCST000500_Other erythrocyte phenotypes_Mean co...               \n",
       "GCST000505_Iron status biomarkers_Iron biomarke...               "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gwas = gwas[~gwas.traitReported.str.contains('above')]\n",
    "gwas.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "gwas = gwas[~gwas.index.duplicated()].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 463,
       "width": 368
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.options.display.min_rows = 10\n",
    "pd.options.display.max_rows = 100\n",
    "gwas.traitReported.value_counts()[:30].plot(kind='bar')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Make a study-trait by gene matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "assert np.all(gwas.explode('gene_id').index == gwas.explode('gene_symbol').index)\n",
    "assert np.all(gwas.explode('gene_id').studyId == gwas.explode('gene_symbol').studyId)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>studyId</th>\n",
       "      <th>pmid</th>\n",
       "      <th>pubAuthor</th>\n",
       "      <th>pubDate</th>\n",
       "      <th>pubJournal</th>\n",
       "      <th>pubTitle</th>\n",
       "      <th>traitReported</th>\n",
       "      <th>ancestryInitial</th>\n",
       "      <th>gene_id</th>\n",
       "      <th>gene_symbol</th>\n",
       "      <th>variant_V2G_id</th>\n",
       "      <th>variant_V2G_symbol</th>\n",
       "      <th>nInitial</th>\n",
       "      <th>numAssocLoci</th>\n",
       "      <th>source</th>\n",
       "      <th>source_otg</th>\n",
       "      <th>traitEfos</th>\n",
       "      <th>hasSumstats</th>\n",
       "      <th>ancestryReplication</th>\n",
       "      <th>nReplication</th>\n",
       "      <th>nCases</th>\n",
       "      <th>traitCategory</th>\n",
       "      <th>nTotal</th>\n",
       "      <th>variant_gene_id_pairs</th>\n",
       "      <th>variant_gene_symbol_pairs</th>\n",
       "      <th>traitEfosStr</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>uniq_index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [studyId, pmid, pubAuthor, pubDate, pubJournal, pubTitle, traitReported, ancestryInitial, gene_id, gene_symbol, variant_V2G_id, variant_V2G_symbol, nInitial, numAssocLoci, source, source_otg, traitEfos, hasSumstats, ancestryReplication, nReplication, nCases, traitCategory, nTotal, variant_gene_id_pairs, variant_gene_symbol_pairs, traitEfosStr]\n",
       "Index: []"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gwas[gwas.index.duplicated()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "gwas_e = gwas.explode('gene_id').assign(gene_symbol=gwas.explode('gene_symbol').gene_symbol)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>studyId</th>\n",
       "      <th>pmid</th>\n",
       "      <th>pubAuthor</th>\n",
       "      <th>pubDate</th>\n",
       "      <th>pubJournal</th>\n",
       "      <th>pubTitle</th>\n",
       "      <th>traitReported</th>\n",
       "      <th>ancestryInitial</th>\n",
       "      <th>gene_id</th>\n",
       "      <th>gene_symbol</th>\n",
       "      <th>variant_V2G_id</th>\n",
       "      <th>variant_V2G_symbol</th>\n",
       "      <th>nInitial</th>\n",
       "      <th>numAssocLoci</th>\n",
       "      <th>source</th>\n",
       "      <th>source_otg</th>\n",
       "      <th>traitEfos</th>\n",
       "      <th>hasSumstats</th>\n",
       "      <th>ancestryReplication</th>\n",
       "      <th>nReplication</th>\n",
       "      <th>nCases</th>\n",
       "      <th>traitCategory</th>\n",
       "      <th>nTotal</th>\n",
       "      <th>variant_gene_id_pairs</th>\n",
       "      <th>variant_gene_symbol_pairs</th>\n",
       "      <th>traitEfosStr</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>uniq_index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>GCST000248_Liver enzyme levels_Alkaline phosphatase measurement, liver enzyme measurement</th>\n",
       "      <td>GCST000248</td>\n",
       "      <td>18940312</td>\n",
       "      <td>Yuan X</td>\n",
       "      <td>2008-10-10</td>\n",
       "      <td>Am J Hum Genet</td>\n",
       "      <td>Population-based genome-wide association studi...</td>\n",
       "      <td>Alkaline phosphatase measurement, liver enzyme...</td>\n",
       "      <td>7,751 European ancestry individuals</td>\n",
       "      <td>ENSG00000165476</td>\n",
       "      <td>REEP3</td>\n",
       "      <td>((ENSG00000165476, 10_63515167_A_G), (ENSG0000...</td>\n",
       "      <td>((REEP3, 10_63515167_A_G), (REEP3, 10_63361805...</td>\n",
       "      <td>7751</td>\n",
       "      <td>6</td>\n",
       "      <td>gwascat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000248_Liver enzyme levels_Alkaline phosphatase measurement, liver enzyme measurement</th>\n",
       "      <td>GCST000248</td>\n",
       "      <td>18940312</td>\n",
       "      <td>Yuan X</td>\n",
       "      <td>2008-10-10</td>\n",
       "      <td>Am J Hum Genet</td>\n",
       "      <td>Population-based genome-wide association studi...</td>\n",
       "      <td>Alkaline phosphatase measurement, liver enzyme...</td>\n",
       "      <td>7,751 European ancestry individuals</td>\n",
       "      <td>ENSG00000112293</td>\n",
       "      <td>GPLD1</td>\n",
       "      <td>((ENSG00000165476, 10_63515167_A_G), (ENSG0000...</td>\n",
       "      <td>((REEP3, 10_63515167_A_G), (REEP3, 10_63361805...</td>\n",
       "      <td>7751</td>\n",
       "      <td>6</td>\n",
       "      <td>gwascat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000248_Liver enzyme levels_Alkaline phosphatase measurement, liver enzyme measurement</th>\n",
       "      <td>GCST000248</td>\n",
       "      <td>18940312</td>\n",
       "      <td>Yuan X</td>\n",
       "      <td>2008-10-10</td>\n",
       "      <td>Am J Hum Genet</td>\n",
       "      <td>Population-based genome-wide association studi...</td>\n",
       "      <td>Alkaline phosphatase measurement, liver enzyme...</td>\n",
       "      <td>7,751 European ancestry individuals</td>\n",
       "      <td>ENSG00000175164</td>\n",
       "      <td>ABO</td>\n",
       "      <td>((ENSG00000165476, 10_63515167_A_G), (ENSG0000...</td>\n",
       "      <td>((REEP3, 10_63515167_A_G), (REEP3, 10_63361805...</td>\n",
       "      <td>7751</td>\n",
       "      <td>6</td>\n",
       "      <td>gwascat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000248_Liver enzyme levels_Alkaline phosphatase measurement, liver enzyme measurement</th>\n",
       "      <td>GCST000248</td>\n",
       "      <td>18940312</td>\n",
       "      <td>Yuan X</td>\n",
       "      <td>2008-10-10</td>\n",
       "      <td>Am J Hum Genet</td>\n",
       "      <td>Population-based genome-wide association studi...</td>\n",
       "      <td>Alkaline phosphatase measurement, liver enzyme...</td>\n",
       "      <td>7,751 European ancestry individuals</td>\n",
       "      <td>ENSG00000142794</td>\n",
       "      <td>NBPF3</td>\n",
       "      <td>((ENSG00000165476, 10_63515167_A_G), (ENSG0000...</td>\n",
       "      <td>((REEP3, 10_63515167_A_G), (REEP3, 10_63361805...</td>\n",
       "      <td>7751</td>\n",
       "      <td>6</td>\n",
       "      <td>gwascat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000248_Liver enzyme levels_Liver enzyme measurement, serum alanine aminotransferase measurement</th>\n",
       "      <td>GCST000248</td>\n",
       "      <td>18940312</td>\n",
       "      <td>Yuan X</td>\n",
       "      <td>2008-10-10</td>\n",
       "      <td>Am J Hum Genet</td>\n",
       "      <td>Population-based genome-wide association studi...</td>\n",
       "      <td>Liver enzyme measurement, serum alanine aminot...</td>\n",
       "      <td>7,751 European ancestry individuals</td>\n",
       "      <td>ENSG00000100347</td>\n",
       "      <td>SAMM50</td>\n",
       "      <td>((ENSG00000100347, 22_43936690_G_A), (ENSG0000...</td>\n",
       "      <td>((SAMM50, 22_43936690_G_A), (CWF19L1, 10_10010...</td>\n",
       "      <td>7751</td>\n",
       "      <td>2</td>\n",
       "      <td>gwascat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAIGE_803_2_Fracture of radius and ulna</th>\n",
       "      <td>SAIGE_803_2</td>\n",
       "      <td>None</td>\n",
       "      <td>UKB SAIGE</td>\n",
       "      <td>2018-10-24</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Fracture of radius and ulna</td>\n",
       "      <td>[European=393011]</td>\n",
       "      <td>ENSG00000002745</td>\n",
       "      <td>WNT16</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>393011</td>\n",
       "      <td>3</td>\n",
       "      <td>otg</td>\n",
       "      <td>SAIGE</td>\n",
       "      <td>[EFO_0003950]</td>\n",
       "      <td>True</td>\n",
       "      <td>[]</td>\n",
       "      <td>0</td>\n",
       "      <td>5246</td>\n",
       "      <td>musculoskeletal or connective tissue disease</td>\n",
       "      <td>393011.0</td>\n",
       "      <td>(((ENSG00000127415,), 4_1011076_T_C), ((ENSG00...</td>\n",
       "      <td>(((IDUA,), 4_1011076_T_C), ((RSPO3,), 6_127138...</td>\n",
       "      <td>['EFO_0003950']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAIGE_804_Fracture of hand or wrist</th>\n",
       "      <td>SAIGE_804</td>\n",
       "      <td>None</td>\n",
       "      <td>UKB SAIGE</td>\n",
       "      <td>2018-10-24</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Fracture of hand or wrist</td>\n",
       "      <td>[European=391122]</td>\n",
       "      <td>ENSG00000002745</td>\n",
       "      <td>WNT16</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>391122</td>\n",
       "      <td>2</td>\n",
       "      <td>otg</td>\n",
       "      <td>SAIGE</td>\n",
       "      <td>[EFO_0009515]</td>\n",
       "      <td>True</td>\n",
       "      <td>[]</td>\n",
       "      <td>0</td>\n",
       "      <td>3357</td>\n",
       "      <td>musculoskeletal or connective tissue disease</td>\n",
       "      <td>391122.0</td>\n",
       "      <td>(((ENSG00000002745,), 7_121316386_A_G), ((ENSG...</td>\n",
       "      <td>(((WNT16,), 7_121316386_A_G), ((RNMT,), 18_137...</td>\n",
       "      <td>['EFO_0009515']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAIGE_804_Fracture of hand or wrist</th>\n",
       "      <td>SAIGE_804</td>\n",
       "      <td>None</td>\n",
       "      <td>UKB SAIGE</td>\n",
       "      <td>2018-10-24</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Fracture of hand or wrist</td>\n",
       "      <td>[European=391122]</td>\n",
       "      <td>ENSG00000101654</td>\n",
       "      <td>RNMT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>391122</td>\n",
       "      <td>2</td>\n",
       "      <td>otg</td>\n",
       "      <td>SAIGE</td>\n",
       "      <td>[EFO_0009515]</td>\n",
       "      <td>True</td>\n",
       "      <td>[]</td>\n",
       "      <td>0</td>\n",
       "      <td>3357</td>\n",
       "      <td>musculoskeletal or connective tissue disease</td>\n",
       "      <td>391122.0</td>\n",
       "      <td>(((ENSG00000002745,), 7_121316386_A_G), ((ENSG...</td>\n",
       "      <td>(((WNT16,), 7_121316386_A_G), ((RNMT,), 18_137...</td>\n",
       "      <td>['EFO_0009515']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAIGE_835_Internal derangement of knee</th>\n",
       "      <td>SAIGE_835</td>\n",
       "      <td>None</td>\n",
       "      <td>UKB SAIGE</td>\n",
       "      <td>2018-10-24</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Internal derangement of knee</td>\n",
       "      <td>[European=406887]</td>\n",
       "      <td>ENSG00000167720</td>\n",
       "      <td>SRR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>406887</td>\n",
       "      <td>2</td>\n",
       "      <td>otg</td>\n",
       "      <td>SAIGE</td>\n",
       "      <td>[EFO_0009507]</td>\n",
       "      <td>True</td>\n",
       "      <td>[]</td>\n",
       "      <td>0</td>\n",
       "      <td>15430</td>\n",
       "      <td>injury, poisoning or other complication</td>\n",
       "      <td>406887.0</td>\n",
       "      <td>(((ENSG00000167720,), 17_2193286_G_A), ((ENSG0...</td>\n",
       "      <td>(((SRR,), 17_2193286_G_A), ((UQCC1,), 20_35416...</td>\n",
       "      <td>['EFO_0009507']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAIGE_835_Internal derangement of knee</th>\n",
       "      <td>SAIGE_835</td>\n",
       "      <td>None</td>\n",
       "      <td>UKB SAIGE</td>\n",
       "      <td>2018-10-24</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Internal derangement of knee</td>\n",
       "      <td>[European=406887]</td>\n",
       "      <td>ENSG00000101019</td>\n",
       "      <td>UQCC1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>406887</td>\n",
       "      <td>2</td>\n",
       "      <td>otg</td>\n",
       "      <td>SAIGE</td>\n",
       "      <td>[EFO_0009507]</td>\n",
       "      <td>True</td>\n",
       "      <td>[]</td>\n",
       "      <td>0</td>\n",
       "      <td>15430</td>\n",
       "      <td>injury, poisoning or other complication</td>\n",
       "      <td>406887.0</td>\n",
       "      <td>(((ENSG00000167720,), 17_2193286_G_A), ((ENSG0...</td>\n",
       "      <td>(((SRR,), 17_2193286_G_A), ((UQCC1,), 20_35416...</td>\n",
       "      <td>['EFO_0009507']</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>201261 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                        studyId      pmid  \\\n",
       "uniq_index                                                                  \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...   GCST000248  18940312   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...   GCST000248  18940312   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...   GCST000248  18940312   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...   GCST000248  18940312   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...   GCST000248  18940312   \n",
       "...                                                         ...       ...   \n",
       "SAIGE_803_2_Fracture of radius and ulna             SAIGE_803_2      None   \n",
       "SAIGE_804_Fracture of hand or wrist                   SAIGE_804      None   \n",
       "SAIGE_804_Fracture of hand or wrist                   SAIGE_804      None   \n",
       "SAIGE_835_Internal derangement of knee                SAIGE_835      None   \n",
       "SAIGE_835_Internal derangement of knee                SAIGE_835      None   \n",
       "\n",
       "                                                    pubAuthor     pubDate  \\\n",
       "uniq_index                                                                  \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...     Yuan X  2008-10-10   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...     Yuan X  2008-10-10   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...     Yuan X  2008-10-10   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...     Yuan X  2008-10-10   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...     Yuan X  2008-10-10   \n",
       "...                                                       ...         ...   \n",
       "SAIGE_803_2_Fracture of radius and ulna             UKB SAIGE  2018-10-24   \n",
       "SAIGE_804_Fracture of hand or wrist                 UKB SAIGE  2018-10-24   \n",
       "SAIGE_804_Fracture of hand or wrist                 UKB SAIGE  2018-10-24   \n",
       "SAIGE_835_Internal derangement of knee              UKB SAIGE  2018-10-24   \n",
       "SAIGE_835_Internal derangement of knee              UKB SAIGE  2018-10-24   \n",
       "\n",
       "                                                        pubJournal  \\\n",
       "uniq_index                                                           \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  Am J Hum Genet   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  Am J Hum Genet   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  Am J Hum Genet   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  Am J Hum Genet   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  Am J Hum Genet   \n",
       "...                                                            ...   \n",
       "SAIGE_803_2_Fracture of radius and ulna                       None   \n",
       "SAIGE_804_Fracture of hand or wrist                           None   \n",
       "SAIGE_804_Fracture of hand or wrist                           None   \n",
       "SAIGE_835_Internal derangement of knee                        None   \n",
       "SAIGE_835_Internal derangement of knee                        None   \n",
       "\n",
       "                                                                                             pubTitle  \\\n",
       "uniq_index                                                                                              \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  Population-based genome-wide association studi...   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  Population-based genome-wide association studi...   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  Population-based genome-wide association studi...   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  Population-based genome-wide association studi...   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  Population-based genome-wide association studi...   \n",
       "...                                                                                               ...   \n",
       "SAIGE_803_2_Fracture of radius and ulna                                                          None   \n",
       "SAIGE_804_Fracture of hand or wrist                                                              None   \n",
       "SAIGE_804_Fracture of hand or wrist                                                              None   \n",
       "SAIGE_835_Internal derangement of knee                                                           None   \n",
       "SAIGE_835_Internal derangement of knee                                                           None   \n",
       "\n",
       "                                                                                        traitReported  \\\n",
       "uniq_index                                                                                              \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  Alkaline phosphatase measurement, liver enzyme...   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  Alkaline phosphatase measurement, liver enzyme...   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  Alkaline phosphatase measurement, liver enzyme...   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  Alkaline phosphatase measurement, liver enzyme...   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  Liver enzyme measurement, serum alanine aminot...   \n",
       "...                                                                                               ...   \n",
       "SAIGE_803_2_Fracture of radius and ulna                                   Fracture of radius and ulna   \n",
       "SAIGE_804_Fracture of hand or wrist                                         Fracture of hand or wrist   \n",
       "SAIGE_804_Fracture of hand or wrist                                         Fracture of hand or wrist   \n",
       "SAIGE_835_Internal derangement of knee                                   Internal derangement of knee   \n",
       "SAIGE_835_Internal derangement of knee                                   Internal derangement of knee   \n",
       "\n",
       "                                                                        ancestryInitial  \\\n",
       "uniq_index                                                                                \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  7,751 European ancestry individuals   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  7,751 European ancestry individuals   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  7,751 European ancestry individuals   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  7,751 European ancestry individuals   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  7,751 European ancestry individuals   \n",
       "...                                                                                 ...   \n",
       "SAIGE_803_2_Fracture of radius and ulna                               [European=393011]   \n",
       "SAIGE_804_Fracture of hand or wrist                                   [European=391122]   \n",
       "SAIGE_804_Fracture of hand or wrist                                   [European=391122]   \n",
       "SAIGE_835_Internal derangement of knee                                [European=406887]   \n",
       "SAIGE_835_Internal derangement of knee                                [European=406887]   \n",
       "\n",
       "                                                            gene_id  \\\n",
       "uniq_index                                                            \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  ENSG00000165476   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  ENSG00000112293   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  ENSG00000175164   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  ENSG00000142794   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  ENSG00000100347   \n",
       "...                                                             ...   \n",
       "SAIGE_803_2_Fracture of radius and ulna             ENSG00000002745   \n",
       "SAIGE_804_Fracture of hand or wrist                 ENSG00000002745   \n",
       "SAIGE_804_Fracture of hand or wrist                 ENSG00000101654   \n",
       "SAIGE_835_Internal derangement of knee              ENSG00000167720   \n",
       "SAIGE_835_Internal derangement of knee              ENSG00000101019   \n",
       "\n",
       "                                                   gene_symbol  \\\n",
       "uniq_index                                                       \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...       REEP3   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...       GPLD1   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...         ABO   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...       NBPF3   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...      SAMM50   \n",
       "...                                                        ...   \n",
       "SAIGE_803_2_Fracture of radius and ulna                  WNT16   \n",
       "SAIGE_804_Fracture of hand or wrist                      WNT16   \n",
       "SAIGE_804_Fracture of hand or wrist                       RNMT   \n",
       "SAIGE_835_Internal derangement of knee                     SRR   \n",
       "SAIGE_835_Internal derangement of knee                   UQCC1   \n",
       "\n",
       "                                                                                       variant_V2G_id  \\\n",
       "uniq_index                                                                                              \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  ((ENSG00000165476, 10_63515167_A_G), (ENSG0000...   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  ((ENSG00000165476, 10_63515167_A_G), (ENSG0000...   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  ((ENSG00000165476, 10_63515167_A_G), (ENSG0000...   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  ((ENSG00000165476, 10_63515167_A_G), (ENSG0000...   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  ((ENSG00000100347, 22_43936690_G_A), (ENSG0000...   \n",
       "...                                                                                               ...   \n",
       "SAIGE_803_2_Fracture of radius and ulna                                                           NaN   \n",
       "SAIGE_804_Fracture of hand or wrist                                                               NaN   \n",
       "SAIGE_804_Fracture of hand or wrist                                                               NaN   \n",
       "SAIGE_835_Internal derangement of knee                                                            NaN   \n",
       "SAIGE_835_Internal derangement of knee                                                            NaN   \n",
       "\n",
       "                                                                                   variant_V2G_symbol  \\\n",
       "uniq_index                                                                                              \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  ((REEP3, 10_63515167_A_G), (REEP3, 10_63361805...   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  ((REEP3, 10_63515167_A_G), (REEP3, 10_63361805...   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  ((REEP3, 10_63515167_A_G), (REEP3, 10_63361805...   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  ((REEP3, 10_63515167_A_G), (REEP3, 10_63361805...   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  ((SAMM50, 22_43936690_G_A), (CWF19L1, 10_10010...   \n",
       "...                                                                                               ...   \n",
       "SAIGE_803_2_Fracture of radius and ulna                                                           NaN   \n",
       "SAIGE_804_Fracture of hand or wrist                                                               NaN   \n",
       "SAIGE_804_Fracture of hand or wrist                                                               NaN   \n",
       "SAIGE_835_Internal derangement of knee                                                            NaN   \n",
       "SAIGE_835_Internal derangement of knee                                                            NaN   \n",
       "\n",
       "                                                    nInitial  numAssocLoci  \\\n",
       "uniq_index                                                                   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...      7751             6   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...      7751             6   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...      7751             6   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...      7751             6   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...      7751             2   \n",
       "...                                                      ...           ...   \n",
       "SAIGE_803_2_Fracture of radius and ulna               393011             3   \n",
       "SAIGE_804_Fracture of hand or wrist                   391122             2   \n",
       "SAIGE_804_Fracture of hand or wrist                   391122             2   \n",
       "SAIGE_835_Internal derangement of knee                406887             2   \n",
       "SAIGE_835_Internal derangement of knee                406887             2   \n",
       "\n",
       "                                                     source source_otg  \\\n",
       "uniq_index                                                               \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  gwascat        NaN   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  gwascat        NaN   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  gwascat        NaN   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  gwascat        NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  gwascat        NaN   \n",
       "...                                                     ...        ...   \n",
       "SAIGE_803_2_Fracture of radius and ulna                 otg      SAIGE   \n",
       "SAIGE_804_Fracture of hand or wrist                     otg      SAIGE   \n",
       "SAIGE_804_Fracture of hand or wrist                     otg      SAIGE   \n",
       "SAIGE_835_Internal derangement of knee                  otg      SAIGE   \n",
       "SAIGE_835_Internal derangement of knee                  otg      SAIGE   \n",
       "\n",
       "                                                        traitEfos hasSumstats  \\\n",
       "uniq_index                                                                      \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...            NaN         NaN   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...            NaN         NaN   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...            NaN         NaN   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...            NaN         NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...            NaN         NaN   \n",
       "...                                                           ...         ...   \n",
       "SAIGE_803_2_Fracture of radius and ulna             [EFO_0003950]        True   \n",
       "SAIGE_804_Fracture of hand or wrist                 [EFO_0009515]        True   \n",
       "SAIGE_804_Fracture of hand or wrist                 [EFO_0009515]        True   \n",
       "SAIGE_835_Internal derangement of knee              [EFO_0009507]        True   \n",
       "SAIGE_835_Internal derangement of knee              [EFO_0009507]        True   \n",
       "\n",
       "                                                   ancestryReplication  \\\n",
       "uniq_index                                                               \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...                 NaN   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...                 NaN   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...                 NaN   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...                 NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...                 NaN   \n",
       "...                                                                ...   \n",
       "SAIGE_803_2_Fracture of radius and ulna                             []   \n",
       "SAIGE_804_Fracture of hand or wrist                                 []   \n",
       "SAIGE_804_Fracture of hand or wrist                                 []   \n",
       "SAIGE_835_Internal derangement of knee                              []   \n",
       "SAIGE_835_Internal derangement of knee                              []   \n",
       "\n",
       "                                                   nReplication nCases  \\\n",
       "uniq_index                                                               \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...          NaN    NaN   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...          NaN    NaN   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...          NaN    NaN   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...          NaN    NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...          NaN    NaN   \n",
       "...                                                         ...    ...   \n",
       "SAIGE_803_2_Fracture of radius and ulna                       0   5246   \n",
       "SAIGE_804_Fracture of hand or wrist                           0   3357   \n",
       "SAIGE_804_Fracture of hand or wrist                           0   3357   \n",
       "SAIGE_835_Internal derangement of knee                        0  15430   \n",
       "SAIGE_835_Internal derangement of knee                        0  15430   \n",
       "\n",
       "                                                                                   traitCategory  \\\n",
       "uniq_index                                                                                         \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...                                           NaN   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...                                           NaN   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...                                           NaN   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...                                           NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...                                           NaN   \n",
       "...                                                                                          ...   \n",
       "SAIGE_803_2_Fracture of radius and ulna             musculoskeletal or connective tissue disease   \n",
       "SAIGE_804_Fracture of hand or wrist                 musculoskeletal or connective tissue disease   \n",
       "SAIGE_804_Fracture of hand or wrist                 musculoskeletal or connective tissue disease   \n",
       "SAIGE_835_Internal derangement of knee                   injury, poisoning or other complication   \n",
       "SAIGE_835_Internal derangement of knee                   injury, poisoning or other complication   \n",
       "\n",
       "                                                      nTotal  \\\n",
       "uniq_index                                                     \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...       NaN   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...       NaN   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...       NaN   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...       NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...       NaN   \n",
       "...                                                      ...   \n",
       "SAIGE_803_2_Fracture of radius and ulna             393011.0   \n",
       "SAIGE_804_Fracture of hand or wrist                 391122.0   \n",
       "SAIGE_804_Fracture of hand or wrist                 391122.0   \n",
       "SAIGE_835_Internal derangement of knee              406887.0   \n",
       "SAIGE_835_Internal derangement of knee              406887.0   \n",
       "\n",
       "                                                                                variant_gene_id_pairs  \\\n",
       "uniq_index                                                                                              \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...                                                NaN   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...                                                NaN   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...                                                NaN   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...                                                NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...                                                NaN   \n",
       "...                                                                                               ...   \n",
       "SAIGE_803_2_Fracture of radius and ulna             (((ENSG00000127415,), 4_1011076_T_C), ((ENSG00...   \n",
       "SAIGE_804_Fracture of hand or wrist                 (((ENSG00000002745,), 7_121316386_A_G), ((ENSG...   \n",
       "SAIGE_804_Fracture of hand or wrist                 (((ENSG00000002745,), 7_121316386_A_G), ((ENSG...   \n",
       "SAIGE_835_Internal derangement of knee              (((ENSG00000167720,), 17_2193286_G_A), ((ENSG0...   \n",
       "SAIGE_835_Internal derangement of knee              (((ENSG00000167720,), 17_2193286_G_A), ((ENSG0...   \n",
       "\n",
       "                                                                            variant_gene_symbol_pairs  \\\n",
       "uniq_index                                                                                              \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...                                                NaN   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...                                                NaN   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...                                                NaN   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...                                                NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...                                                NaN   \n",
       "...                                                                                               ...   \n",
       "SAIGE_803_2_Fracture of radius and ulna             (((IDUA,), 4_1011076_T_C), ((RSPO3,), 6_127138...   \n",
       "SAIGE_804_Fracture of hand or wrist                 (((WNT16,), 7_121316386_A_G), ((RNMT,), 18_137...   \n",
       "SAIGE_804_Fracture of hand or wrist                 (((WNT16,), 7_121316386_A_G), ((RNMT,), 18_137...   \n",
       "SAIGE_835_Internal derangement of knee              (((SRR,), 17_2193286_G_A), ((UQCC1,), 20_35416...   \n",
       "SAIGE_835_Internal derangement of knee              (((SRR,), 17_2193286_G_A), ((UQCC1,), 20_35416...   \n",
       "\n",
       "                                                       traitEfosStr  \n",
       "uniq_index                                                           \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...                   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...                   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...                   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...                   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...                   \n",
       "...                                                             ...  \n",
       "SAIGE_803_2_Fracture of radius and ulna             ['EFO_0003950']  \n",
       "SAIGE_804_Fracture of hand or wrist                 ['EFO_0009515']  \n",
       "SAIGE_804_Fracture of hand or wrist                 ['EFO_0009515']  \n",
       "SAIGE_835_Internal derangement of knee              ['EFO_0009507']  \n",
       "SAIGE_835_Internal derangement of knee              ['EFO_0009507']  \n",
       "\n",
       "[201261 rows x 26 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gwas_e"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gene_symbol</th>\n",
       "      <th>gene_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6239</th>\n",
       "      <td>AHRR</td>\n",
       "      <td>ENSG00000063438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12961</th>\n",
       "      <td>AHRR</td>\n",
       "      <td>ENSG00000286169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4829</th>\n",
       "      <td>ATF7</td>\n",
       "      <td>ENSG00000170653</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10420</th>\n",
       "      <td>ATF7</td>\n",
       "      <td>ENSG00000267281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6929</th>\n",
       "      <td>ATXN7</td>\n",
       "      <td>ENSG00000163635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8579</th>\n",
       "      <td>ATXN7</td>\n",
       "      <td>ENSG00000285258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3389</th>\n",
       "      <td>IGF2</td>\n",
       "      <td>ENSG00000167244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4742</th>\n",
       "      <td>IGF2</td>\n",
       "      <td>ENSG00000284779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1945</th>\n",
       "      <td>PINX1</td>\n",
       "      <td>ENSG00000254093</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4010</th>\n",
       "      <td>PINX1</td>\n",
       "      <td>ENSG00000258724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>SCO2</td>\n",
       "      <td>ENSG00000130489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6635</th>\n",
       "      <td>SCO2</td>\n",
       "      <td>ENSG00000284194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6384</th>\n",
       "      <td>TBCE</td>\n",
       "      <td>ENSG00000284770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10328</th>\n",
       "      <td>TBCE</td>\n",
       "      <td>ENSG00000285053</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      gene_symbol          gene_id\n",
       "6239         AHRR  ENSG00000063438\n",
       "12961        AHRR  ENSG00000286169\n",
       "4829         ATF7  ENSG00000170653\n",
       "10420        ATF7  ENSG00000267281\n",
       "6929        ATXN7  ENSG00000163635\n",
       "8579        ATXN7  ENSG00000285258\n",
       "3389         IGF2  ENSG00000167244\n",
       "4742         IGF2  ENSG00000284779\n",
       "1945        PINX1  ENSG00000254093\n",
       "4010        PINX1  ENSG00000258724\n",
       "996          SCO2  ENSG00000130489\n",
       "6635         SCO2  ENSG00000284194\n",
       "6384         TBCE  ENSG00000284770\n",
       "10328        TBCE  ENSG00000285053"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = gwas_e[['gene_symbol', 'gene_id']].drop_duplicates().reset_index(drop=True)\n",
    "df = df[df.gene_symbol.duplicated(keep=False)].sort_values('gene_symbol')\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gene_symbol</th>\n",
       "      <th>gene_id</th>\n",
       "      <th>converted</th>\n",
       "      <th>description</th>\n",
       "      <th>incoming</th>\n",
       "      <th>n_converted</th>\n",
       "      <th>n_incoming</th>\n",
       "      <th>name</th>\n",
       "      <th>namespaces</th>\n",
       "      <th>query</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AHRR</td>\n",
       "      <td>ENSG00000063438</td>\n",
       "      <td>ENSG00000063438</td>\n",
       "      <td>aryl-hydrocarbon receptor repressor [Source:HG...</td>\n",
       "      <td>ENSG00000063438</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>AHRR</td>\n",
       "      <td>ARRAYEXPRESS,ENSG</td>\n",
       "      <td>query_1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AHRR</td>\n",
       "      <td>ENSG00000286169</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>ENSG00000286169</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>nan</td>\n",
       "      <td></td>\n",
       "      <td>query_1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ATF7</td>\n",
       "      <td>ENSG00000170653</td>\n",
       "      <td>ENSG00000170653</td>\n",
       "      <td>activating transcription factor 7 [Source:HGNC...</td>\n",
       "      <td>ENSG00000170653</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>ATF7</td>\n",
       "      <td>ARRAYEXPRESS,ENSG,HPA,HPA_ACC</td>\n",
       "      <td>query_1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ATF7</td>\n",
       "      <td>ENSG00000267281</td>\n",
       "      <td>ENSG00000267281</td>\n",
       "      <td>ATF7-NPFF readthrough [Source:HGNC Symbol;Acc:...</td>\n",
       "      <td>ENSG00000267281</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>ATF7-NPFF</td>\n",
       "      <td>ARRAYEXPRESS,ENSG</td>\n",
       "      <td>query_1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ATXN7</td>\n",
       "      <td>ENSG00000163635</td>\n",
       "      <td>ENSG00000163635</td>\n",
       "      <td>ataxin 7 [Source:HGNC Symbol;Acc:HGNC:10560]</td>\n",
       "      <td>ENSG00000163635</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>ATXN7</td>\n",
       "      <td>ARRAYEXPRESS,ENSG,HPA,HPA_ACC</td>\n",
       "      <td>query_1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>ATXN7</td>\n",
       "      <td>ENSG00000285258</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>ENSG00000285258</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>nan</td>\n",
       "      <td></td>\n",
       "      <td>query_1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>IGF2</td>\n",
       "      <td>ENSG00000167244</td>\n",
       "      <td>ENSG00000167244</td>\n",
       "      <td>insulin like growth factor 2 [Source:HGNC Symb...</td>\n",
       "      <td>ENSG00000167244</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>IGF2</td>\n",
       "      <td>ARRAYEXPRESS,ENSG,HPA,HPA_ACC</td>\n",
       "      <td>query_1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>IGF2</td>\n",
       "      <td>ENSG00000284779</td>\n",
       "      <td>ENSG00000284779</td>\n",
       "      <td>novel protein</td>\n",
       "      <td>ENSG00000284779</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>nan</td>\n",
       "      <td>ARRAYEXPRESS,ENSG</td>\n",
       "      <td>query_1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>PINX1</td>\n",
       "      <td>ENSG00000254093</td>\n",
       "      <td>ENSG00000254093</td>\n",
       "      <td>PIN2 (TERF1) interacting telomerase inhibitor ...</td>\n",
       "      <td>ENSG00000254093</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>PINX1</td>\n",
       "      <td>ARRAYEXPRESS,ENSG,HPA,HPA_ACC</td>\n",
       "      <td>query_1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>PINX1</td>\n",
       "      <td>ENSG00000258724</td>\n",
       "      <td>ENSG00000258724</td>\n",
       "      <td>PIN2 (TERF1) interacting telomerase inhibitor ...</td>\n",
       "      <td>ENSG00000258724</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>PINX1</td>\n",
       "      <td>ARRAYEXPRESS,ENSG</td>\n",
       "      <td>query_1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>SCO2</td>\n",
       "      <td>ENSG00000130489</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>ENSG00000130489</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>nan</td>\n",
       "      <td></td>\n",
       "      <td>query_1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>SCO2</td>\n",
       "      <td>ENSG00000284194</td>\n",
       "      <td>ENSG00000284194</td>\n",
       "      <td>synthesis of cytochrome C oxidase 2 [Source:HG...</td>\n",
       "      <td>ENSG00000284194</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>SCO2</td>\n",
       "      <td>ARRAYEXPRESS,ENSG</td>\n",
       "      <td>query_1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>TBCE</td>\n",
       "      <td>ENSG00000284770</td>\n",
       "      <td>ENSG00000284770</td>\n",
       "      <td>tubulin folding cofactor E [Source:HGNC Symbol...</td>\n",
       "      <td>ENSG00000284770</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "      <td>TBCE</td>\n",
       "      <td>ARRAYEXPRESS,ENSG,HPA,HPA_ACC</td>\n",
       "      <td>query_1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>TBCE</td>\n",
       "      <td>ENSG00000285053</td>\n",
       "      <td>ENSG00000285053</td>\n",
       "      <td>tubulin folding cofactor E [Source:HGNC Symbol...</td>\n",
       "      <td>ENSG00000285053</td>\n",
       "      <td>1</td>\n",
       "      <td>14</td>\n",
       "      <td>TBCE</td>\n",
       "      <td>ARRAYEXPRESS,ENSG</td>\n",
       "      <td>query_1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   gene_symbol          gene_id        converted  \\\n",
       "0         AHRR  ENSG00000063438  ENSG00000063438   \n",
       "1         AHRR  ENSG00000286169              nan   \n",
       "2         ATF7  ENSG00000170653  ENSG00000170653   \n",
       "3         ATF7  ENSG00000267281  ENSG00000267281   \n",
       "4        ATXN7  ENSG00000163635  ENSG00000163635   \n",
       "5        ATXN7  ENSG00000285258              nan   \n",
       "6         IGF2  ENSG00000167244  ENSG00000167244   \n",
       "7         IGF2  ENSG00000284779  ENSG00000284779   \n",
       "8        PINX1  ENSG00000254093  ENSG00000254093   \n",
       "9        PINX1  ENSG00000258724  ENSG00000258724   \n",
       "10        SCO2  ENSG00000130489              nan   \n",
       "11        SCO2  ENSG00000284194  ENSG00000284194   \n",
       "12        TBCE  ENSG00000284770  ENSG00000284770   \n",
       "13        TBCE  ENSG00000285053  ENSG00000285053   \n",
       "\n",
       "                                          description         incoming  \\\n",
       "0   aryl-hydrocarbon receptor repressor [Source:HG...  ENSG00000063438   \n",
       "1                                                 nan  ENSG00000286169   \n",
       "2   activating transcription factor 7 [Source:HGNC...  ENSG00000170653   \n",
       "3   ATF7-NPFF readthrough [Source:HGNC Symbol;Acc:...  ENSG00000267281   \n",
       "4        ataxin 7 [Source:HGNC Symbol;Acc:HGNC:10560]  ENSG00000163635   \n",
       "5                                                 nan  ENSG00000285258   \n",
       "6   insulin like growth factor 2 [Source:HGNC Symb...  ENSG00000167244   \n",
       "7                                       novel protein  ENSG00000284779   \n",
       "8   PIN2 (TERF1) interacting telomerase inhibitor ...  ENSG00000254093   \n",
       "9   PIN2 (TERF1) interacting telomerase inhibitor ...  ENSG00000258724   \n",
       "10                                                nan  ENSG00000130489   \n",
       "11  synthesis of cytochrome C oxidase 2 [Source:HG...  ENSG00000284194   \n",
       "12  tubulin folding cofactor E [Source:HGNC Symbol...  ENSG00000284770   \n",
       "13  tubulin folding cofactor E [Source:HGNC Symbol...  ENSG00000285053   \n",
       "\n",
       "    n_converted  n_incoming       name                     namespaces    query  \n",
       "0             1           1       AHRR              ARRAYEXPRESS,ENSG  query_1  \n",
       "1             1           2        nan                                 query_1  \n",
       "2             1           3       ATF7  ARRAYEXPRESS,ENSG,HPA,HPA_ACC  query_1  \n",
       "3             1           4  ATF7-NPFF              ARRAYEXPRESS,ENSG  query_1  \n",
       "4             1           5      ATXN7  ARRAYEXPRESS,ENSG,HPA,HPA_ACC  query_1  \n",
       "5             1           6        nan                                 query_1  \n",
       "6             1           7       IGF2  ARRAYEXPRESS,ENSG,HPA,HPA_ACC  query_1  \n",
       "7             1           8        nan              ARRAYEXPRESS,ENSG  query_1  \n",
       "8             1           9      PINX1  ARRAYEXPRESS,ENSG,HPA,HPA_ACC  query_1  \n",
       "9             1          10      PINX1              ARRAYEXPRESS,ENSG  query_1  \n",
       "10            1          11        nan                                 query_1  \n",
       "11            1          12       SCO2              ARRAYEXPRESS,ENSG  query_1  \n",
       "12            1          13       TBCE  ARRAYEXPRESS,ENSG,HPA,HPA_ACC  query_1  \n",
       "13            1          14       TBCE              ARRAYEXPRESS,ENSG  query_1  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import gprofiler\n",
    "\n",
    "g = gprofiler.GProfiler()\n",
    "df.merge(pd.DataFrame(g.convert(df.gene_id.tolist())), left_on='gene_id', right_on='incoming', how='left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7799"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gwas.index.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(7799, 26)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gwas.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>studyId</th>\n",
       "      <th>pmid</th>\n",
       "      <th>pubAuthor</th>\n",
       "      <th>pubDate</th>\n",
       "      <th>pubJournal</th>\n",
       "      <th>pubTitle</th>\n",
       "      <th>traitReported</th>\n",
       "      <th>ancestryInitial</th>\n",
       "      <th>gene_id</th>\n",
       "      <th>gene_symbol</th>\n",
       "      <th>variant_V2G_id</th>\n",
       "      <th>variant_V2G_symbol</th>\n",
       "      <th>nInitial</th>\n",
       "      <th>numAssocLoci</th>\n",
       "      <th>source</th>\n",
       "      <th>source_otg</th>\n",
       "      <th>traitEfos</th>\n",
       "      <th>hasSumstats</th>\n",
       "      <th>ancestryReplication</th>\n",
       "      <th>nReplication</th>\n",
       "      <th>nCases</th>\n",
       "      <th>traitCategory</th>\n",
       "      <th>nTotal</th>\n",
       "      <th>variant_gene_id_pairs</th>\n",
       "      <th>variant_gene_symbol_pairs</th>\n",
       "      <th>traitEfosStr</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>uniq_index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [studyId, pmid, pubAuthor, pubDate, pubJournal, pubTitle, traitReported, ancestryInitial, gene_id, gene_symbol, variant_V2G_id, variant_V2G_symbol, nInitial, numAssocLoci, source, source_otg, traitEfos, hasSumstats, ancestryReplication, nReplication, nCases, traitCategory, nTotal, variant_gene_id_pairs, variant_gene_symbol_pairs, traitEfosStr]\n",
       "Index: []"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gwas.loc[gwas.index.duplicated(keep=False)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.set_option('display.max_columns', 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'nan' in gwas_e.gene_id.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gwas_e.gene_id.isna().any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>gene_id</th>\n",
       "      <th>ENSG00000000419</th>\n",
       "      <th>ENSG00000000460</th>\n",
       "      <th>ENSG00000000938</th>\n",
       "      <th>ENSG00000000971</th>\n",
       "      <th>ENSG00000001084</th>\n",
       "      <th>...</th>\n",
       "      <th>ENSG00000286169</th>\n",
       "      <th>ENSG00000286221</th>\n",
       "      <th>ENSG00000286231</th>\n",
       "      <th>ENSG00000286239</th>\n",
       "      <th>ENSG00000286264</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>uniq_index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial diseases</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (Atypical or mixed) (more controls excluded)</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural disorders due to alcohol, excluding acute intoxication</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAIGE_782_Symptoms involving skin and other integumentary tissue</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAIGE_803_2_Fracture of radius and ulna</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAIGE_803_Fracture of upper limb</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAIGE_804_Fracture of hand or wrist</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAIGE_835_Internal derangement of knee</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7799 rows × 13447 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "gene_id                                             ENSG00000000419  \\\n",
       "uniq_index                                                            \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...                0   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall                  0   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...                0   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)                 0   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...                0   \n",
       "...                                                             ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...                0   \n",
       "SAIGE_803_2_Fracture of radius and ulna                           0   \n",
       "SAIGE_803_Fracture of upper limb                                  0   \n",
       "SAIGE_804_Fracture of hand or wrist                               0   \n",
       "SAIGE_835_Internal derangement of knee                            0   \n",
       "\n",
       "gene_id                                             ENSG00000000460  \\\n",
       "uniq_index                                                            \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...                0   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall                  0   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...                0   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)                 0   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...                0   \n",
       "...                                                             ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...                0   \n",
       "SAIGE_803_2_Fracture of radius and ulna                           0   \n",
       "SAIGE_803_Fracture of upper limb                                  0   \n",
       "SAIGE_804_Fracture of hand or wrist                               0   \n",
       "SAIGE_835_Internal derangement of knee                            0   \n",
       "\n",
       "gene_id                                             ENSG00000000938  \\\n",
       "uniq_index                                                            \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...                0   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall                  0   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...                0   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)                 0   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...                0   \n",
       "...                                                             ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...                0   \n",
       "SAIGE_803_2_Fracture of radius and ulna                           0   \n",
       "SAIGE_803_Fracture of upper limb                                  0   \n",
       "SAIGE_804_Fracture of hand or wrist                               0   \n",
       "SAIGE_835_Internal derangement of knee                            0   \n",
       "\n",
       "gene_id                                             ENSG00000000971  \\\n",
       "uniq_index                                                            \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...                0   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall                  0   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...                0   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)                 0   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...                0   \n",
       "...                                                             ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...                0   \n",
       "SAIGE_803_2_Fracture of radius and ulna                           0   \n",
       "SAIGE_803_Fracture of upper limb                                  0   \n",
       "SAIGE_804_Fracture of hand or wrist                               0   \n",
       "SAIGE_835_Internal derangement of knee                            0   \n",
       "\n",
       "gene_id                                             ENSG00000001084  ...  \\\n",
       "uniq_index                                                           ...   \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...                0  ...   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall                  0  ...   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...                0  ...   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)                 0  ...   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...                0  ...   \n",
       "...                                                             ...  ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...                0  ...   \n",
       "SAIGE_803_2_Fracture of radius and ulna                           0  ...   \n",
       "SAIGE_803_Fracture of upper limb                                  0  ...   \n",
       "SAIGE_804_Fracture of hand or wrist                               0  ...   \n",
       "SAIGE_835_Internal derangement of knee                            0  ...   \n",
       "\n",
       "gene_id                                             ENSG00000286169  \\\n",
       "uniq_index                                                            \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...                0   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall                  0   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...                0   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)                 0   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...                0   \n",
       "...                                                             ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...                0   \n",
       "SAIGE_803_2_Fracture of radius and ulna                           0   \n",
       "SAIGE_803_Fracture of upper limb                                  0   \n",
       "SAIGE_804_Fracture of hand or wrist                               0   \n",
       "SAIGE_835_Internal derangement of knee                            0   \n",
       "\n",
       "gene_id                                             ENSG00000286221  \\\n",
       "uniq_index                                                            \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...                0   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall                  0   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...                0   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)                 0   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...                0   \n",
       "...                                                             ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...                0   \n",
       "SAIGE_803_2_Fracture of radius and ulna                           0   \n",
       "SAIGE_803_Fracture of upper limb                                  0   \n",
       "SAIGE_804_Fracture of hand or wrist                               0   \n",
       "SAIGE_835_Internal derangement of knee                            0   \n",
       "\n",
       "gene_id                                             ENSG00000286231  \\\n",
       "uniq_index                                                            \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...                0   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall                  0   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...                0   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)                 0   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...                0   \n",
       "...                                                             ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...                0   \n",
       "SAIGE_803_2_Fracture of radius and ulna                           0   \n",
       "SAIGE_803_Fracture of upper limb                                  0   \n",
       "SAIGE_804_Fracture of hand or wrist                               0   \n",
       "SAIGE_835_Internal derangement of knee                            0   \n",
       "\n",
       "gene_id                                             ENSG00000286239  \\\n",
       "uniq_index                                                            \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...                0   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall                  0   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...                0   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)                 0   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...                0   \n",
       "...                                                             ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...                0   \n",
       "SAIGE_803_2_Fracture of radius and ulna                           0   \n",
       "SAIGE_803_Fracture of upper limb                                  0   \n",
       "SAIGE_804_Fracture of hand or wrist                               0   \n",
       "SAIGE_835_Internal derangement of knee                            0   \n",
       "\n",
       "gene_id                                             ENSG00000286264  \n",
       "uniq_index                                                           \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...                0  \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall                  0  \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...                0  \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)                 0  \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...                0  \n",
       "...                                                             ...  \n",
       "SAIGE_782_Symptoms involving skin and other int...                0  \n",
       "SAIGE_803_2_Fracture of radius and ulna                           0  \n",
       "SAIGE_803_Fracture of upper limb                                  0  \n",
       "SAIGE_804_Fracture of hand or wrist                               0  \n",
       "SAIGE_835_Internal derangement of knee                            0  \n",
       "\n",
       "[7799 rows x 13447 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "studytrait_by_gene = gwas_e.reset_index().assign(value=1).pivot(values='value', index='uniq_index', columns='gene_id').fillna(0).astype(int)\n",
    "studytrait_by_gene"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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qzVt4bVdNs+gx+++//wM+/OEPzzR90U1NTQHw97fP7QOJxz9sj6XYneYN6r1q1apl3pNtg/WeLOs9WdZ7sqz3ZFnvpfWKV7yCG2644eqqOniucxfzNJ6HAp8Y6bspyUuq6qtDfYPwff3oCqrq3iQ3AY8D9gO+lWRXuqB/x2jQ793QtwfMZhszzJEkSZKaslhh/2N0p8Z8E5iiC+qvBl4BfD7JU6rqb/qxg0PMt02zrkH/A+c5fr5zxpruHVSSq1atWvWENWvWbGkVi2r9+vUAnH3ZnXOat/GFaxZ/Z7YBg3pP+ue8rbLek2W9J8t6T5b1nizrvbQW8onJooT9qjpzpOtvgVcmuYPui7VnAM+b5eoyWO1cd2MOY+e7DUmSJGmrsdRf0P1Q3x421Dc4qj7dSeS7j4zb0vhxR/Hnug1JkiSpOUsd9m/p212H+q7r2585X77/gu6+wL3AjQBVdSfwfWC3JHuP2cb+fTt8fv6025hhjiRJktSUpQ77T+nbG4f6Lu3bI8eMPwx4AHD54Eo8s5jzjJEx0F2P/7vAAUn2neUcSZIkqSkLDvtJHpdkrzH9jwQGd7U9f2jROuBW4PgkTxwavzPwtv7pB0dWNzgd6LQkew7N2Qc4EdhM9yVhAKq7nuhgzjuTbDc052jgqcC1wPBVgiRJkqSmLMYXdI8F3pjkK8BNdFfjeRTwLGBn4GLg7MHgqro9ycvpQv/6JGuBTcBz6C6ZuQ64YHgDVXV5knPo7op7TZJ1dNfiPw7YCzhp5O65AOcAR9HdxOuKJJfQ3QPgWOAu4KXePVeSJEktW4yw/xW6kP6LdKft7Ar8GPg63XX3P1Ejd+6qqouSHA6cBjyf7k3Bt+nC/PtGx/dzTklyDf96Sc/7gauBs6rqs2PGb07ydOCNwAuA1wK3AxcBp1fVtQt+5ZIkSdIKtuCw398wa86nw1TVZcAz5zjnPOC8OYy/Gzi9f0iSJEnblKX+gq4kSZKkZWLYlyRJkhpl2JckSZIaZdiXJEmSGmXYlyRJkhpl2JckSZIaZdiXJEmSGmXYlyRJkhpl2JckSZIaZdiXJEmSGmXYlyRJkhpl2JckSZIaZdiXJEmSGmXYlyRJkhpl2JckSZIaZdiXJEmSGmXYlyRJkhpl2JckSZIaZdiXJEmSGmXYlyRJkhpl2JckSZIaZdiXJEmSGmXYlyRJkhpl2JckSZIaZdiXJEmSGmXYlyRJkhpl2JckSZIaZdiXJEmSGmXYlyRJkhpl2JckSZIaZdiXJEmSGmXYlyRJkhpl2JckSZIaZdiXJEmSGmXYlyRJkhpl2JckSZIaZdiXJEmSGmXYlyRJkhpl2JckSZIaZdiXJEmSGmXYlyRJkhpl2JckSZIaZdiXJEmSGmXYlyRJkhpl2JckSZIaZdiXJEmSGrUkYT/Ji5JU/3jZNGNWJ7k4yaYkdyW5JsnJSbafYb0nJPlGkjuS3JZkfZKjZhi/S5Izk1yX5J4ktyS5MMmBi/E6JUmSpJVs0cN+kocDfwDcMcOYo4ENwGHAp4APADsC7wbWTjPnbOBcYG/gI8D5wEHAZ5K8esz4nYAvAW8BbgfeC3wZeB5wZZJD5vUCJUmSpK3Eoob9JAE+BvwQ+NA0Y3anC+v3AWuq6jer6r8DvwD8BXBMkuNH5qwGTgG+A/xfVfXaqjoROBjYBJydZJ+RTb0OOBRYBxxSVW+oqhcAxwAPAD6axNOYJEmS1KzFDruvAY4AXgLcOc2YY4AHA2ur6spBZ1XdA7ypf/qqkTmv7Nu3V9WPhuZspPtUYKd+m8BP33QM5ry+qu4fmvNp4GvAY4HD5/DaJEmSpK3KooX9/jz4dwDvraoNMww9om+/MGbZBuAuYHV/Gs5s5nx+ZAzAo4BHANdX1U2znCNJkiQ1ZYfFWEmSHYBPAN8FfncLwx/dt9ePLqiqe5PcBDwO2A/4VpJdgYcBd1TVzWPWd0PfHjCbbcwwZ6wkV02z6DFTU1OsX79+S6tYVFNTUwCcetD9Wxj5b016P1sxqLf1mwzrPVnWe7Ks92RZ78my3ktrUN/5WJSwT/cl2F8Efrmq7t7C2D369rZplg/6HzjP8fOdI0mSJDVlwWE/yZPpjua/q6r+YuG7RPq25jhvLuNnvY2qOnjsCpKrVq1a9YQ1a9bMYbMLN3jHfPZl030lYryNL1yz+DuzDRjUe9I/522V9Z4s6z1Z1nuyrPdkWe+ltWrVqnnPXdA5+0On71wPvHmW0wZH1feYZvnuI+O2NH7cUfy5bkOSJElqzkK/oLsb3XnvBwL3DN1Iq4DT+zEf6fve0z+/rm9/5nz5/s3DvsC9wI0AVXUn8H1gtyR7j9mH/ft2+Pz8abcxwxxJkiSpKQs9jWcz8EfTLHsC3Xn8X6cL34NTfC4FXggcCfzJyJzD6K6Bv6GqNg/1Xwq8qJ/zsZE5zxgaM/Adui8LH5Bk3zFX5Bk3R5IkSWrKgo7sV9XdVfWycQ/gz/ph5/V9F/TP1wG3AscneeJgXUl2Bt7WP/3gyKYGN+g6LcmeQ3P2AU6ke9Px0zcBVVVDc945fPOs/u69TwWuBb4639cuSZIkrXSLdTWeWauq25O8nC70r0+ylu4uuM+hu2TmOuCCkTmXJzmH7q641yRZB+wIHAfsBZzU32Br2DnAUXQ38boiySV0194/lu5a/i8dvtmWJEmS1JrFvoPurFTVRXR3r90APB84CfgJXZg/vj8yPzrnFODFwA+AVwC/AXwTeHZVvX/M+M3A04G30l1i87XArwIXAU+qqisW91VJkiRJK8uSHdmvqjOAM2ZYfhnwzDmu8zzgvDmMv5vui8Knb2msJEmS1JplObIvSZIkaekZ9iVJkqRGGfYlSZKkRhn2JUmSpEYZ9iVJkqRGGfYlSZKkRhn2JUmSpEYZ9iVJkqRGGfYlSZKkRhn2JUmSpEYZ9iVJkqRGGfYlSZKkRhn2JUmSpEYZ9iVJkqRGGfYlSZKkRhn2JUmSpEYZ9iVJkqRGGfYlSZKkRhn2JUmSpEYZ9iVJkqRGGfYlSZKkRhn2JUmSpEYZ9iVJkqRGGfYlSZKkRhn2JUmSpEYZ9iVJkqRGGfYlSZKkRhn2JUmSpEYZ9iVJkqRGGfYlSZKkRhn2JUmSpEYZ9iVJkqRGGfYlSZKkRhn2JUmSpEYZ9iVJkqRGGfYlSZKkRhn2JUmSpEYZ9iVJkqRGGfYlSZKkRhn2JUmSpEYZ9iVJkqRGGfYlSZKkRhn2JUmSpEYZ9iVJkqRGGfYlSZKkRhn2JUmSpEYZ9iVJkqRGLUrYT/L7SS5J8g9J7k6yKclfJTk9yYOmmbM6ycX92LuSXJPk5CTbz7CdE5J8I8kdSW5Lsj7JUTOM3yXJmUmuS3JPkluSXJjkwMV43ZIkSdJKtlhH9l8L7Ap8CXgv8MfAvcAZwDVJHj48OMnRwAbgMOBTwAeAHYF3A2vHbSDJ2cC5wN7AR4DzgYOAzyR59ZjxO/X78xbg9n6/vgw8D7gyySELeL2SJEnSirfDIq1n96q6Z7QzyduB3wV+B/itvm93urB+H7Cmqq7s+98MXAock+T4qlo7tJ7VwCnAd4AnVdWP+v6zgKuAs5N8tqo2Dm3+dcChwDrguKq6v59zAXAR8NEkBw36JUmSpNYsypH9cUG/d2Hf7j/UdwzwYGDtIOgPreNN/dNXjaznlX379kHQ7+dspPtUYCfgJYP+JBma8/rhQF9Vnwa+BjwWOHxLr02SJEnaWi31F3Sf3bfXDPUd0bdfGDN+A3AXsLo/DWc2cz4/MgbgUcAjgOur6qZZzpEkSZKaslin8QCQ5FRgN2AP4InAL9MF/XcMDXt0314/Or+q7k1yE/A4YD/gW0l2BR4G3FFVN4/Z7A19e8BstjHDnLGSXDXNosdMTU2xfv36La1iUU1NTQFw6kFzO/to0vvZikG9rd9kWO/Jst6TZb0ny3pPlvVeWoP6zseihn3gVODnh55/AXhxVf3zUN8efXvbNOsY9D9wnuPnO0eSJElqyqKG/ap6KECSnwdW0x3R/6skR1XV1bNcTQarm+vm5zB21tuoqoPHriC5atWqVU9Ys2bNHDa7cIN3zGdfduec5m184ZrF35ltwKDek/45b6us92RZ78my3pNlvSfLei+tVatWzXvukpyzX1X/VFWfAn4NeBDw8aHFg6Pqe/zMxM7uI+O2NH7cUfy5bkOSJElqzpJ+Qbeq/h64Fnhckn/Xd1/Xtz9zvnySHYB96a7Rf2O/jjuB7wO7Jdl7zGYGV/oZPj9/2m3MMEeSJElqylJfjQfg3/ftfX17ad8eOWbsYcADgMuravNQ/0xznjEyBrrr8X8XOCDJvrOcI0mSJDVlwWE/yWOSPHRM/3b9TbUeQhfeB9fHXwfcChyf5IlD43cG3tY//eDI6j7Ut6cl2XNozj7AicBm4GOD/qqqoTnvTLLd0JyjgafSfeLw1bm9WkmSJGnrsRhf0D0SOCvJBroj6j+kuyLP4XSXz/wB8PLB4Kq6PcnL6UL/+iRrgU3Ac+gumbkOuGB4A1V1eZJz6O6Ke02SdcCOwHHAXsBJI3fPBTgHOIruJl5XJLmE7tr7x9Jdy/+l3j1XkiRJLVuMsP9l4MPAocB/oruc5Z1058N/AnhfVW0anlBVFyU5HDgNeD6wM/BtujD/vv7IPCNzTklyDfBq4BXA/cDVwFlV9dkx4zcneTrwRuAFwGuB24GLgNOr6toFv3JJkiRpBVtw2K+qv6U7lWau8y4DnjnHOecB581h/N3A6f1DkiRJ2qZM4gu6kiRJkpaBYV+SJElqlGFfkiRJapRhX5IkSWqUYV+SJElqlGFfkiRJapRhX5IkSWqUYV+SJElqlGFfkiRJapRhX5IkSWqUYV+SJElqlGFfkiRJapRhX5IkSWqUYV+SJElqlGFfkiRJapRhX5IkSWqUYV+SJElqlGFfkiRJapRhX5IkSWqUYV+SJElqlGFfkiRJapRhX5IkSWqUYV+SJElqlGFfkiRJapRhX5IkSWqUYV+SJElqlGFfkiRJapRhX5IkSWqUYV+SJElqlGFfkiRJapRhX5IkSWqUYV+SJElqlGFfkiRJapRhX5IkSWqUYV+SJElqlGFfkiRJapRhX5IkSWqUYV+SJElqlGFfkiRJapRhX5IkSWqUYV+SJElqlGFfkiRJapRhX5IkSWqUYV+SJElqlGFfkiRJapRhX5IkSWqUYV+SJElq1ILDfpIHJXlZkk8l+XaSu5PcluTrSX4zydhtJFmd5OIkm5LcleSaJCcn2X6GbZ2Q5BtJ7ui3sT7JUTOM3yXJmUmuS3JPkluSXJjkwIW+bkmSJGmlW4wj+8cCHwEOAa4A3gP8KfB44A+BC5NkeEKSo4ENwGHAp4APADsC7wbWjttIkrOBc4G9++2dDxwEfCbJq8eM3wn4EvAW4HbgvcCXgecBVyY5ZP4vWZIkSVr5dliEdVwPPAf4XFXdP+hM8rvAN4DnA/+F7g0ASXanC+v3AWuq6sq+/83ApcAxSY6vqrVD61oNnAJ8B3hSVf2o7z8LuAo4O8lnq2rj0H69DjgUWAccN9i3JBcAFwEfTXLQ8D5LkiRJLVnwkf2qurSqPjMamqvqB8CH+qdrhhYdAzwYWDsI+v34e4A39U9fNbKZV/bt2wdBv5+zke5TgZ2Alwz6+08SBnNeP7xvVfVp4GvAY4HDZ/1CJUmSpK3MYhzZn8lP+vbeob4j+vYLY8ZvAO4CVifZqao2z2LO54E392NO7/seBTwCuL6qbppmzlP7OV+Z6QUkuWqaRY+Zmppi/fr1M01fdFNTUwCcetDcPpCY9H62YlBv6zcZ1nuyrPdkWe/Jst6TZb2X1qC+87FkV+NJsgPwG/3T4ZD+6L69fnROVd0L3ET3JmS/fj27Ag8D7qiqm8ds6oa+PWA225hhjiRJktSUpTyy/w66L+leXFV/PtS/R9/eNs28Qf8D5zl+vnPGqqqDx/UnuWrVqlVPWLNmzZZWsagG75jPvuzOOc3b+MI1i78z24BBvSf9c95WWe/Jst6TZb0ny3pPlvVeWqtWrZr33CU5sp/kNXRfqP074EVznd63Ncd5cxk/321IkiRJW41FD/tJTqS7zOW1wNOqatPIkMFR9T0Yb/eRcVsaP+4o/ly3IUmSJDVnUcN+kpOB9wN/Sxf0fzBm2HV9+zPny/fn+e9L94XeGwGq6k7g+8BuSfYes779+3b4/PxptzHDHEmSJKkpixb2k7yB7qZYf00X9G+ZZuilfXvkmGWHAQ8ALh+6Es+W5jxjZAx01+P/LnBAkn1nOUeSJElqyqKE/f6GWO+gu8HVr1TVrTMMXwfcChyf5IlD69gZeFv/9IMjcwbX6z8tyZ5Dc/YBTgQ2Ax8b9FdVDc15Z5LthuYcTXfZzWuBr87yJUqSJElbnQVfjSfJCcBb6e6I+zXgNd09rf6NjVV1LkBV3Z7k5XShf32StcAmurvwPrrvv2B4clVdnuQcurviXpNkHbAjcBywF3DSyN1zAc4BjqK7idcVSS6hu/b+sXTX8n+pd8+VJElSyxbj0puD02S2B06eZsxXgXMHT6rqoiSHA6cBzwd2Br5NF+bf1x+Z/zeq6pQk1wCvBl4B3A9cDZxVVZ8dM35zkqcDbwReALwWuB24CDi9qq6d6wuVJEmStiYLDvtVdQZwxjzmXQY8c45zzgPOm8P4u+nuqnv6lsZKkiRJrVmyO+hKkiRJWl6GfUmSJKlRhn1JkiSpUYZ9SZIkqVGGfUmSJKlRhn1JkiSpUYZ9SZIkqVGGfUmSJKlRhn1JkiSpUYZ9SZIkqVGGfUmSJKlRhn1JkiSpUYZ9SZIkqVGGfUmSJKlRhn1JkiSpUYZ9SZIkqVGGfUmSJKlRhn1JkiSpUYZ9SZIkqVGGfUmSJKlRhn1JkiSpUYZ9SZIkqVGGfUmSJKlRhn1JkiSpUYZ9SZIkqVGGfUmSJKlRhn1JkiSpUYZ9SZIkqVGGfUmSJKlRhn1JkiSpUYZ9SZIkqVGGfUmSJKlRhn1JkiSpUYZ9SZIkqVGGfUmSJKlRhn1JkiSpUYZ9SZIkqVGGfUmSJKlRhn1JkiSpUYZ9SZIkqVGGfUmSJKlRhn1JkiSpUYZ9SZIkqVGGfUmSJKlRhn1JkiSpUYZ9SZIkqVGLEvaTHJPkD5J8LcntSSrJ+VuYszrJxUk2JbkryTVJTk6y/QxzTkjyjSR3JLktyfokR80wfpckZya5Lsk9SW5JcmGSAxfyeiVJkqStwWId2X8T8GrgF4Dvb2lwkqOBDcBhwKeADwA7Au8G1k4z52zgXGBv4CPA+cBBwGeSvHrM+J2ALwFvAW4H3gt8GXgecGWSQ+bw+iRJkqStzg6LtJ7XAt8Dvg0cDnxluoFJdqcL6/cBa6rqyr7/zcClwDFJjq+qtUNzVgOnAN8BnlRVP+r7zwKuAs5O8tmq2ji0qdcBhwLrgOOq6v5+zgXARcBHkxw06JckSZJasyhH9qvqK1V1Q1XVLIYfAzwYWDsI+v067qH7hADgVSNzXtm3bx8E/X7ORrpPBXYCXjLoT5KhOa8fDvRV9Wnga8Bj6d6YSJIkSU1aji/oHtG3XxizbANwF7C6Pw1nNnM+PzIG4FHAI4Drq+qmWc6RJEmSmrJYp/HMxaP79vrRBVV1b5KbgMcB+wHfSrIr8DDgjqq6ecz6bujbA2azjRnmjJXkqmkWPWZqaor169dvaRWLampqCoBTD5rb2UeT3s9WDOpt/SbDek+W9Z4s6z1Z1nuyrPfSGtR3PpbjyP4efXvbNMsH/Q+c5/j5zpEkSZKashxH9rckfTub8/+HzWX8rLdRVQePXUFy1apVq56wZs2aOWx24QbvmM++7M45zdv4wjWLvzPbgEG9J/1z3lZZ78my3pNlvSfLek+W9V5aq1atmvfc5TiyPziqvsc0y3cfGbel8eOO4s91G5IkSVJzliPsX9e3P3O+fJIdgH2Be4EbAarqTrpr9++WZO8x69u/b4fPz592GzPMkSRJkpqyHGH/0r49csyyw4AHAJdX1eZZznnGyBjorsf/XeCAJPvOco4kSZLUlOUI++uAW4Hjkzxx0JlkZ+Bt/dMPjsz5UN+elmTPoTn7ACcCm4GPDfr76/0P5rwzyXZDc44GngpcC3x1EV6PJEmStCItyhd0kzwXeG7/9KF9+5Qk5/b/fWtVnQpQVbcneTld6F+fZC2wCXgO3SUz1wEXDK+/qi5Pcg7dXXGvSbIO2BE4DtgLOGnk7rkA5wBH0d3E64okl9Bde/9Yumv5v9S750qSJKlli3U1nl8AThjp269/APw9cOpgQVVdlORw4DTg+cDOwLfpwvz7xt2Jt6pOSXIN8GrgFcD9wNXAWVX12THjNyd5OvBG4AXAa4HbgYuA06vq2vm+WEmSJGlrsChhv6rOAM6Y45zLgGfOcc55wHlzGH83cHr/kCRJkrYpy3HOviRJkqQJMOxLkiRJjTLsS5IkSY0y7EuSJEmNMuxLkiRJjTLsS5IkSY0y7EuSJEmNMuxLkiRJjTLsS5IkSY0y7EuSJEmNMuxLkiRJjTLsS5IkSY0y7EuSJEmNMuxLkiRJjTLsS5IkSY0y7EuSJEmNMuxLkiRJjTLsS5IkSY0y7EuSJEmNMuxLkiRJjTLsS5IkSY0y7EuSJEmNMuxLkiRJjTLsS5IkSY0y7EuSJEmNMuxLkiRJjTLsS5IkSY3aYbl3QJOxzxs/N6fxG9/xrCXaE0mSJE2KR/YlSZKkRhn2JUmSpEYZ9iVJkqRGGfYlSZKkRhn2JUmSpEYZ9iVJkqRGGfYlSZKkRhn2JUmSpEYZ9iVJkqRGGfYlSZKkRhn2JUmSpEYZ9iVJkqRGGfYlSZKkRhn2JUmSpEbtsNw7oJVpnzd+bk7jN77jWUu0J5IkSZovj+xLkiRJjTLsS5IkSY0y7EuSJEmNMuxLkiRJjWo+7Cf5D0k+muQfk2xOsjHJe5Lsudz7JkmSJC2lpq/Gk+RRwOXAQ4BPA38HPBn4beDIJIdW1Q+XcRebMder94BX8JEkSVpqrR/Z/590Qf81VfXcqnpjVR0BvBt4NPD2Zd07SZIkaQk1e2Q/yX7ArwEbgQ+MLD4deAXwoiSnVNWdE949Mb9PA5aSnzRIkqTWNBv2gSP69otVdf/wgqqaSnIZ3ZuBXwIumfTOaeUZ9+bj1IPuBeDFi/DGZCW+mVhpb7jOPXLX5d4FSZKakqpa7n1YEknOAk4FTq2qd41Z/n7gROC3quqDM6znqmkW/aeddtpp+0c84hGLsr+zdf/93fuWf7mvzZ/bSrNDf6LbvffPPE6Lw3pPlvWenJ1/bvuf/v7ebrut8wzae35y35zG7/xz2y/RnszO1l7vrc3WWu+5/ruG5fm3/d3vfpfNmzdvqqoHzXVuy0f29+jb26ZZPuh/4DzXf9/mzZtvu+GGGzbOc/58PaZv/27C291WWe/Jst6TZb0ny3pPlvWeLOu9tPYBbp/PxJbD/pakb2c8RF5VB09gX2Zt8EnDStuvVlnvybLek2W9J8t6T5b1nizrvXJtXZ+1zM3gyP0e0yzffWScJEmS1JSWw/51fXvANMv379vrJ7AvkiRJ0sS1HPa/0re/luTfvM4kq4BDgbuB/z3pHZMkSZImodmwX1XfAb5I94WGE0cWnwnsCnzca+xLkiSpVa1/Qfe3gMuB9yX5FeBbwCHA0+hO3zltGfdNkiRJWlLNXmd/IMnDgbcCRwIPAm4GLgLOrKpNy7hrkiRJ0pJqPuxLkiRJ26pmz9mXJEmStnWGfUmSJKlRhn1JkiSpUYZ9SZIkqVGGfUmSJKlRhn1JkiSpUYb9rUSS/5Dko0n+McnmJBuTvCfJnsu9bytZkgcleVmSTyX5dpK7k9yW5OtJfjPJ2P8HkqxOcnGSTUnuSnJNkpOTbD/Dtk5I8o0kd/TbWJ/kqKV7dVuHJC9KUv3jZdOMsd4LlOSpSf40yc3974ibk3wxyTPHjLXe85TkWX1dv9f/PrkxySeTPGWa8dZ6C5Ick+QPknwtye3974rztzBnyeuaZJckZya5Lsk9SW5JcmGSAxfyepfbXOqdZP8kb0hyaZJ/SPIvSf4pyaeTPG0L27HeK0VV+VjhD+BRwD8BRXdDsHcAl/bP/w540HLv40p9AK/s6/SPwB8D/wP4KPDjvn8d/f0mhuYcDdwL3AH8EXBWX+cCPjnNds7ul/8D8G7gA8AP+75XL3cdlrH+D+9rPdXX4mVjxljvhdf5Tf1r/2fgY8DvAR8G/hJ4p/VetDr/fv+abwX+sP9dvA74F+B+4L9a63nV9a/71zdFd6f7As6fYfyS1xXYCfh6v/wv+5/9/wv8BLgTOGS56zaJegNr++XfBP4X3d/Q/6+vfwGvsd4r/7HsO+BjFj8k+PP+f4CTRvrP6fs/tNz7uFIfwBHAs4HtRvofCny3r9/zh/p3B24BNgNPHOrfGbi8H3/8yLpW9/3fBvYc6t+n/+V2D7DPctdiGWof4MvAd/o/xj8T9q33otT52L4eXwJWjVn+c9Z7Uer8UOA+4AfAQ0aWPa2v0Y3Wel61fRqwf/87Yw0zh8+J1BX4nX7OJxn6+0H3RmMQfrdbyOveSur9YuAXx/QfTvcmdzOwt/Ve2Y9l3wEfW/gBwX79P/SbRv+hA6vojmzcCey63Pu6tT2A3+1r+wdDfS/t+84bM/6IftlXR/o/3ve/ZMyct/bLzlzu17sM9f1tuqOdhwFnMD7sW++F1Xg74Mb+d8CDZzHees+/1of0r/XT0yy/HZiy1guu8xpmDp9LXle6EPz3ff++Y+Zs6Jc9bbnrtdT13sLcLzJywMx6r8yH5+yvfEf07Rer6v7hBVU1BVwGPAD4pUnvWAN+0rf3DvUN6v2FMeM3AHcBq5PsNMs5nx8Zs03oz7F8B/Deqtoww1DrvTCrgX2Bi4Ef9eeTvyHJb09zDrn1nr8b6I5kPjnJvxtekOQwuoMvXx7qttZLYxJ1fRTwCOD6qrpplnO2ReP+hoL1XnEM+yvfo/v2+mmW39C3B0xgX5qRZAfgN/qnw7+Qpq13Vd1L9wnLDnSfuJBkV+BhwB1VdfOYTW1zP5++tp+gO03qd7cw3HovzJP69p+Aq4HP0r3Jeg9weZKvJnnw0HjrPU9VtQl4A/DzwLVJPpzkfyS5kO4I55eA/zY0xVovjUnU1b+7W5DkkcCv0L252jDUb71XoB2Wewe0RXv07W3TLB/0P3Dpd6Up7wAeD1xcVX8+1D/Xevvz+VlvAX4R+OWqunsLY633wjykb19JF3KeDlwBPBJ4F/Cf6c6BXdOPs94LUFXvSbKR7kv+Lx9a9G3g3Kq6ZajPWi+NSdTVn8UM+k9N/pjuS7Wvr6ofDS223iuQR/a3funbWta92IokeQ1wCt3VG1401+l9O9d6bxM/nyRPpjua/66q+ovFWGXfWu/xBpcZDHBMVV1SVXdU1TeB5wHfAw6f7rKQY1jvGSR5Pd3Vd86lO/VgV+Bguu9N/HGSd85ldX1rrRfXJOq6zf7d7S9t+gngUOACuqvuzIf1niDD/so3eEe7xzTLdx8ZpxkkORF4L3At3Zd9No0MmWu9tzR+S0csmjF0+s71wJtnOc16L8zgiNqNVfU3wwv6T1UGn1o9uW+t9zwlWUN3OcA/q6rXVdWNVXVXVV1N98bq+8ApSfbrp1jrpTGJuvp3d4w+6J9PdwWwC+kuNTsawK33CmTYX/mu69vpzlXbv2+nO9dNvSQnA+8H/pYu6P9gzLBp692H2X3pvox0I0BV3Un3R363JHuPWd+29PPZja5uBwL35F9vpFXA6f2Yj/R97+mfW++FGdTvx9MsH7wZ2GVkvPWeu8HNgL4yuqCq7gK+Qfc39Rf7bmu9NCZRV//ujuhr+yfA8XTXv39B/x2Jf8N6r0yG/ZVv8Ifl1zJyt9ckq+g+Srsb+N+T3rGtSZI30N3Y46/pgv4t0wy9tG+PHLPsMLorH11eVZtnOecZI2NatpnuBjfjHn/Vj/l6/3xwio/1XpgNdMFm/yQ7jln++L7d2LfWe/4GV3d58DTLB/3/0rfWemlMoq7fobvAwAFJ9p3lnGb1v1vW0R3R/zjwoqq6b4Yp1nulWe5rf/rY8gNvqrXQ+r25r9OVwF5bGLs73V1IvRHO4v4MzmD6m2pZ74XV9vy+Hm8b6f9Vuvsc/Bh4oPVecJ1/va/DD4CHjSx7Rl/ru+nvaG6t513nNWz5plpLXle2kZs8zaLeOwGf68f84Wxes/VeeY/0xdQKluRRdL/EHgJ8mu721ofQ3QXvemB1Vf1w+fZw5UpyAt2X6e4D/oDx5/xtrKpzh+Y8l+4oxj10twrfBDyH7vJg64Bfr5H/cZK8C3gd3Rci1wE7AscBD6J7k/b+RXxZW50kZ9CdyvPyqvrDkWXPxXrPW5KH0N1v4z8CX6M7neSRdOeRF93H7Z8cGv9crPec9Z+s/jndFY+mgE/RBf8D6U7xCXByVb13aM5zsdZb1Nfpuf3Th9JdRepGun/PALdW1akj45e0rv0VZy6lC65XApfQXQv+WLpPb46oqisW+tqXw1zqneRjdHfRvRX4n4z/kuz6qlo/sg3rvZIs97sNH7N7AA8HPgbcTPcP/+/pvmg645Hqbf3Bvx5Rnumxfsy8Q+lvVER3tO7/AK8Ftp9hWycAf0l3N9Mp4KvAUctdg5XwYJoj+9Z70eq7F90nfTf1vx9+SHdg4Jes96LW+eeAk+lOm7yd7hSqW+jub/Br1nredd3S7+mNy1FXuu+6nEl3nffNdJ8ofBJ47HLXbFL1BtZvYWwBZ1jvlf3wyL4kSZLUKL+gK0mSJDXKsC9JkiQ1yrAvSZIkNcqwL0mSJDXKsC9JkiQ1yrAvSZIkNcqwL0mSJDXKsC9JkiQ1yrAvSZIkNcqwL0mSJDXKsC9JkiQ1yrAvSZIkNcqwL0mSJDXKsC9JkiQ1yrAvSZIkNcqwL0mSJDXKsC9JkiQ16v8HjK+OWMicMtcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 250,
       "width": 381
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "studytrait_by_gene.sum(1).hist(bins=50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "#studytrait_by_gene = studybygene[(studybygene.sum(1)>=2) & (studybygene.sum(1)<=850)]\n",
    "#studytrait_by_gene.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Make an anndata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>studyId</th>\n",
       "      <th>pmid</th>\n",
       "      <th>pubAuthor</th>\n",
       "      <th>pubDate</th>\n",
       "      <th>pubJournal</th>\n",
       "      <th>...</th>\n",
       "      <th>traitCategory</th>\n",
       "      <th>nTotal</th>\n",
       "      <th>variant_gene_id_pairs</th>\n",
       "      <th>variant_gene_symbol_pairs</th>\n",
       "      <th>traitEfosStr</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>uniq_index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>GCST000248_Liver enzyme levels_Alkaline phosphatase measurement, liver enzyme measurement</th>\n",
       "      <td>GCST000248</td>\n",
       "      <td>18940312</td>\n",
       "      <td>Yuan X</td>\n",
       "      <td>2008-10-10</td>\n",
       "      <td>Am J Hum Genet</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000248_Liver enzyme levels_Liver enzyme measurement, serum alanine aminotransferase measurement</th>\n",
       "      <td>GCST000248</td>\n",
       "      <td>18940312</td>\n",
       "      <td>Yuan X</td>\n",
       "      <td>2008-10-10</td>\n",
       "      <td>Am J Hum Genet</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000248_Liver enzyme levels_Liver enzyme measurement, serum gamma-glutamyl transferase measurement</th>\n",
       "      <td>GCST000248</td>\n",
       "      <td>18940312</td>\n",
       "      <td>Yuan X</td>\n",
       "      <td>2008-10-10</td>\n",
       "      <td>Am J Hum Genet</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000292_Metabolic traits_Inflammatory response</th>\n",
       "      <td>GCST000292</td>\n",
       "      <td>19060910</td>\n",
       "      <td>Sabatti C</td>\n",
       "      <td>2008-12-07</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCST000292_Metabolic traits_Triglyceride measurement</th>\n",
       "      <td>GCST000292</td>\n",
       "      <td>19060910</td>\n",
       "      <td>Sabatti C</td>\n",
       "      <td>2008-12-07</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                       studyId      pmid  \\\n",
       "uniq_index                                                                 \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  GCST000248  18940312   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  GCST000248  18940312   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  GCST000248  18940312   \n",
       "GCST000292_Metabolic traits_Inflammatory response   GCST000292  19060910   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...  GCST000292  19060910   \n",
       "\n",
       "                                                    pubAuthor     pubDate  \\\n",
       "uniq_index                                                                  \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...     Yuan X  2008-10-10   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...     Yuan X  2008-10-10   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...     Yuan X  2008-10-10   \n",
       "GCST000292_Metabolic traits_Inflammatory response   Sabatti C  2008-12-07   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...  Sabatti C  2008-12-07   \n",
       "\n",
       "                                                        pubJournal  ...  \\\n",
       "uniq_index                                                          ...   \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...  Am J Hum Genet  ...   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  Am J Hum Genet  ...   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...  Am J Hum Genet  ...   \n",
       "GCST000292_Metabolic traits_Inflammatory response        Nat Genet  ...   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...       Nat Genet  ...   \n",
       "\n",
       "                                                   traitCategory nTotal  \\\n",
       "uniq_index                                                                \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...           NaN    NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...           NaN    NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...           NaN    NaN   \n",
       "GCST000292_Metabolic traits_Inflammatory response            NaN    NaN   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...           NaN    NaN   \n",
       "\n",
       "                                                   variant_gene_id_pairs  \\\n",
       "uniq_index                                                                 \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...                   NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...                   NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...                   NaN   \n",
       "GCST000292_Metabolic traits_Inflammatory response                    NaN   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...                   NaN   \n",
       "\n",
       "                                                   variant_gene_symbol_pairs  \\\n",
       "uniq_index                                                                     \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...                       NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...                       NaN   \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...                       NaN   \n",
       "GCST000292_Metabolic traits_Inflammatory response                        NaN   \n",
       "GCST000292_Metabolic traits_Triglyceride measur...                       NaN   \n",
       "\n",
       "                                                   traitEfosStr  \n",
       "uniq_index                                                       \n",
       "GCST000248_Liver enzyme levels_Alkaline phospha...               \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...               \n",
       "GCST000248_Liver enzyme levels_Liver enzyme mea...               \n",
       "GCST000292_Metabolic traits_Inflammatory response                \n",
       "GCST000292_Metabolic traits_Triglyceride measur...               \n",
       "\n",
       "[5 rows x 26 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gwas.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 7799 × 13447\n",
       "    obs: 'studyId', 'pmid', 'pubAuthor', 'pubDate', 'pubJournal', 'pubTitle', 'traitReported', 'ancestryInitial', 'gene_id', 'gene_symbol', 'variant_V2G_id', 'variant_V2G_symbol', 'nInitial', 'numAssocLoci', 'source', 'source_otg', 'traitEfos', 'hasSumstats', 'ancestryReplication', 'nReplication', 'nCases', 'traitCategory', 'nTotal', 'variant_gene_id_pairs', 'variant_gene_symbol_pairs', 'traitEfosStr'"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata = sc.AnnData(studytrait_by_gene, obs=gwas.loc[~gwas.index.duplicated()].loc[studytrait_by_gene.index]) #, var=gene_table.loc[studybygene.columns])\n",
    "adata.X = spp.csr_matrix(adata.X)\n",
    "adata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>studyId</th>\n",
       "      <th>pmid</th>\n",
       "      <th>pubAuthor</th>\n",
       "      <th>pubDate</th>\n",
       "      <th>pubJournal</th>\n",
       "      <th>...</th>\n",
       "      <th>traitCategory</th>\n",
       "      <th>nTotal</th>\n",
       "      <th>variant_gene_id_pairs</th>\n",
       "      <th>variant_gene_symbol_pairs</th>\n",
       "      <th>traitEfosStr</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>uniq_index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial diseases</th>\n",
       "      <td>FINNGEN_R5_AB1_OTHER_BACTERIAL</td>\n",
       "      <td>None</td>\n",
       "      <td>FINNGEN_R5</td>\n",
       "      <td>2021-05-11</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>infectious disease</td>\n",
       "      <td>218792.0</td>\n",
       "      <td>(((ENSG00000132693,), 1_159743672_A_G), ((ENSG...</td>\n",
       "      <td>(((CRP,), 1_159743672_A_G), ((KLF12,), 13_7429...</td>\n",
       "      <td>['EFO_0000771']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall</th>\n",
       "      <td>FINNGEN_R5_ABDOM_HERNIA</td>\n",
       "      <td>None</td>\n",
       "      <td>FINNGEN_R5</td>\n",
       "      <td>2021-05-11</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>gastrointestinal disease</td>\n",
       "      <td>218792.0</td>\n",
       "      <td>(((ENSG00000215817,), 1_219568478_G_A), ((ENSG...</td>\n",
       "      <td>(((ZC3H11B,), 1_219568478_G_A), ((OSR1,), 2_19...</td>\n",
       "      <td>['EFO_1001866']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (Atypical or mixed) (more controls excluded)</th>\n",
       "      <td>FINNGEN_R5_AD_AM_EXMORE</td>\n",
       "      <td>None</td>\n",
       "      <td>FINNGEN_R5</td>\n",
       "      <td>2021-05-11</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>nervous system disease</td>\n",
       "      <td>112271.0</td>\n",
       "      <td>(((ENSG00000196141,), 2_200208129_C_T), ((ENSG...</td>\n",
       "      <td>(((SPATS2L,), 2_200208129_C_T), ((APOE,), 19_4...</td>\n",
       "      <td>['EFO_0000249']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)</th>\n",
       "      <td>FINNGEN_R5_AD_LO</td>\n",
       "      <td>None</td>\n",
       "      <td>FINNGEN_R5</td>\n",
       "      <td>2021-05-11</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>nervous system disease</td>\n",
       "      <td>217541.0</td>\n",
       "      <td>(((ENSG00000072071,), 19_14242284_T_G), ((ENSG...</td>\n",
       "      <td>(((ADGRL1,), 19_14242284_T_G), ((APOE,), 19_44...</td>\n",
       "      <td>['EFO_1001870']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural disorders due to alcohol, excluding acute intoxication</th>\n",
       "      <td>FINNGEN_R5_ALCOHOLMENTAL</td>\n",
       "      <td>None</td>\n",
       "      <td>FINNGEN_R5</td>\n",
       "      <td>2021-05-11</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>nervous system disease</td>\n",
       "      <td>218792.0</td>\n",
       "      <td>(((ENSG00000248144,), 4_99352511_TTCTAATTTAGAT...</td>\n",
       "      <td>(((ADH1C,), 4_99352511_TTCTAATTTAGATATGAATTTTA...</td>\n",
       "      <td>['MONDO_0021698', 'EFO_0000677']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAIGE_782_Symptoms involving skin and other integumentary tissue</th>\n",
       "      <td>SAIGE_782</td>\n",
       "      <td>None</td>\n",
       "      <td>UKB SAIGE</td>\n",
       "      <td>2018-10-24</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>Uncategorised</td>\n",
       "      <td>408961.0</td>\n",
       "      <td>(((ENSG00000088280,), 1_23466067_C_A), ((ENSG0...</td>\n",
       "      <td>(((ASAP3,), 1_23466067_C_A), ((SOX21,), 13_949...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAIGE_803_2_Fracture of radius and ulna</th>\n",
       "      <td>SAIGE_803_2</td>\n",
       "      <td>None</td>\n",
       "      <td>UKB SAIGE</td>\n",
       "      <td>2018-10-24</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>musculoskeletal or connective tissue disease</td>\n",
       "      <td>393011.0</td>\n",
       "      <td>(((ENSG00000127415,), 4_1011076_T_C), ((ENSG00...</td>\n",
       "      <td>(((IDUA,), 4_1011076_T_C), ((RSPO3,), 6_127138...</td>\n",
       "      <td>['EFO_0003950']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAIGE_803_Fracture of upper limb</th>\n",
       "      <td>SAIGE_803</td>\n",
       "      <td>None</td>\n",
       "      <td>UKB SAIGE</td>\n",
       "      <td>2018-10-24</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>musculoskeletal or connective tissue disease</td>\n",
       "      <td>396286.0</td>\n",
       "      <td>(((ENSG00000146374,), 6_127142500_G_A), ((ENSG...</td>\n",
       "      <td>(((RSPO3,), 6_127142500_G_A), ((CITED2,), 6_14...</td>\n",
       "      <td>['EFO_0009514']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAIGE_804_Fracture of hand or wrist</th>\n",
       "      <td>SAIGE_804</td>\n",
       "      <td>None</td>\n",
       "      <td>UKB SAIGE</td>\n",
       "      <td>2018-10-24</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>musculoskeletal or connective tissue disease</td>\n",
       "      <td>391122.0</td>\n",
       "      <td>(((ENSG00000002745,), 7_121316386_A_G), ((ENSG...</td>\n",
       "      <td>(((WNT16,), 7_121316386_A_G), ((RNMT,), 18_137...</td>\n",
       "      <td>['EFO_0009515']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAIGE_835_Internal derangement of knee</th>\n",
       "      <td>SAIGE_835</td>\n",
       "      <td>None</td>\n",
       "      <td>UKB SAIGE</td>\n",
       "      <td>2018-10-24</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>injury, poisoning or other complication</td>\n",
       "      <td>406887.0</td>\n",
       "      <td>(((ENSG00000167720,), 17_2193286_G_A), ((ENSG0...</td>\n",
       "      <td>(((SRR,), 17_2193286_G_A), ((UQCC1,), 20_35416...</td>\n",
       "      <td>['EFO_0009507']</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7799 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                           studyId  \\\n",
       "uniq_index                                                                           \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...  FINNGEN_R5_AB1_OTHER_BACTERIAL   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall           FINNGEN_R5_ABDOM_HERNIA   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...         FINNGEN_R5_AD_AM_EXMORE   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)                 FINNGEN_R5_AD_LO   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...        FINNGEN_R5_ALCOHOLMENTAL   \n",
       "...                                                                            ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...                       SAIGE_782   \n",
       "SAIGE_803_2_Fracture of radius and ulna                                SAIGE_803_2   \n",
       "SAIGE_803_Fracture of upper limb                                         SAIGE_803   \n",
       "SAIGE_804_Fracture of hand or wrist                                      SAIGE_804   \n",
       "SAIGE_835_Internal derangement of knee                                   SAIGE_835   \n",
       "\n",
       "                                                    pmid   pubAuthor  \\\n",
       "uniq_index                                                             \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...  None  FINNGEN_R5   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall    None  FINNGEN_R5   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...  None  FINNGEN_R5   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)   None  FINNGEN_R5   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...  None  FINNGEN_R5   \n",
       "...                                                  ...         ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...  None   UKB SAIGE   \n",
       "SAIGE_803_2_Fracture of radius and ulna             None   UKB SAIGE   \n",
       "SAIGE_803_Fracture of upper limb                    None   UKB SAIGE   \n",
       "SAIGE_804_Fracture of hand or wrist                 None   UKB SAIGE   \n",
       "SAIGE_835_Internal derangement of knee              None   UKB SAIGE   \n",
       "\n",
       "                                                       pubDate pubJournal  \\\n",
       "uniq_index                                                                  \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...  2021-05-11       None   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall    2021-05-11       None   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...  2021-05-11       None   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)   2021-05-11       None   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...  2021-05-11       None   \n",
       "...                                                        ...        ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...  2018-10-24       None   \n",
       "SAIGE_803_2_Fracture of radius and ulna             2018-10-24       None   \n",
       "SAIGE_803_Fracture of upper limb                    2018-10-24       None   \n",
       "SAIGE_804_Fracture of hand or wrist                 2018-10-24       None   \n",
       "SAIGE_835_Internal derangement of knee              2018-10-24       None   \n",
       "\n",
       "                                                    ...  \\\n",
       "uniq_index                                          ...   \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...  ...   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall    ...   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...  ...   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)   ...   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...  ...   \n",
       "...                                                 ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...  ...   \n",
       "SAIGE_803_2_Fracture of radius and ulna             ...   \n",
       "SAIGE_803_Fracture of upper limb                    ...   \n",
       "SAIGE_804_Fracture of hand or wrist                 ...   \n",
       "SAIGE_835_Internal derangement of knee              ...   \n",
       "\n",
       "                                                                                   traitCategory  \\\n",
       "uniq_index                                                                                         \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...                            infectious disease   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall                        gastrointestinal disease   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...                        nervous system disease   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)                         nervous system disease   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...                        nervous system disease   \n",
       "...                                                                                          ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...                                 Uncategorised   \n",
       "SAIGE_803_2_Fracture of radius and ulna             musculoskeletal or connective tissue disease   \n",
       "SAIGE_803_Fracture of upper limb                    musculoskeletal or connective tissue disease   \n",
       "SAIGE_804_Fracture of hand or wrist                 musculoskeletal or connective tissue disease   \n",
       "SAIGE_835_Internal derangement of knee                   injury, poisoning or other complication   \n",
       "\n",
       "                                                      nTotal  \\\n",
       "uniq_index                                                     \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...  218792.0   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall    218792.0   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...  112271.0   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)   217541.0   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...  218792.0   \n",
       "...                                                      ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...  408961.0   \n",
       "SAIGE_803_2_Fracture of radius and ulna             393011.0   \n",
       "SAIGE_803_Fracture of upper limb                    396286.0   \n",
       "SAIGE_804_Fracture of hand or wrist                 391122.0   \n",
       "SAIGE_835_Internal derangement of knee              406887.0   \n",
       "\n",
       "                                                                                variant_gene_id_pairs  \\\n",
       "uniq_index                                                                                              \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...  (((ENSG00000132693,), 1_159743672_A_G), ((ENSG...   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall    (((ENSG00000215817,), 1_219568478_G_A), ((ENSG...   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...  (((ENSG00000196141,), 2_200208129_C_T), ((ENSG...   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)   (((ENSG00000072071,), 19_14242284_T_G), ((ENSG...   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...  (((ENSG00000248144,), 4_99352511_TTCTAATTTAGAT...   \n",
       "...                                                                                               ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...  (((ENSG00000088280,), 1_23466067_C_A), ((ENSG0...   \n",
       "SAIGE_803_2_Fracture of radius and ulna             (((ENSG00000127415,), 4_1011076_T_C), ((ENSG00...   \n",
       "SAIGE_803_Fracture of upper limb                    (((ENSG00000146374,), 6_127142500_G_A), ((ENSG...   \n",
       "SAIGE_804_Fracture of hand or wrist                 (((ENSG00000002745,), 7_121316386_A_G), ((ENSG...   \n",
       "SAIGE_835_Internal derangement of knee              (((ENSG00000167720,), 17_2193286_G_A), ((ENSG0...   \n",
       "\n",
       "                                                                            variant_gene_symbol_pairs  \\\n",
       "uniq_index                                                                                              \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...  (((CRP,), 1_159743672_A_G), ((KLF12,), 13_7429...   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall    (((ZC3H11B,), 1_219568478_G_A), ((OSR1,), 2_19...   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...  (((SPATS2L,), 2_200208129_C_T), ((APOE,), 19_4...   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)   (((ADGRL1,), 19_14242284_T_G), ((APOE,), 19_44...   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...  (((ADH1C,), 4_99352511_TTCTAATTTAGATATGAATTTTA...   \n",
       "...                                                                                               ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...  (((ASAP3,), 1_23466067_C_A), ((SOX21,), 13_949...   \n",
       "SAIGE_803_2_Fracture of radius and ulna             (((IDUA,), 4_1011076_T_C), ((RSPO3,), 6_127138...   \n",
       "SAIGE_803_Fracture of upper limb                    (((RSPO3,), 6_127142500_G_A), ((CITED2,), 6_14...   \n",
       "SAIGE_804_Fracture of hand or wrist                 (((WNT16,), 7_121316386_A_G), ((RNMT,), 18_137...   \n",
       "SAIGE_835_Internal derangement of knee              (((SRR,), 17_2193286_G_A), ((UQCC1,), 20_35416...   \n",
       "\n",
       "                                                                        traitEfosStr  \n",
       "uniq_index                                                                            \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...                   ['EFO_0000771']  \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall                     ['EFO_1001866']  \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...                   ['EFO_0000249']  \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)                    ['EFO_1001870']  \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...  ['MONDO_0021698', 'EFO_0000677']  \n",
       "...                                                                              ...  \n",
       "SAIGE_782_Symptoms involving skin and other int...                                []  \n",
       "SAIGE_803_2_Fracture of radius and ulna                              ['EFO_0003950']  \n",
       "SAIGE_803_Fracture of upper limb                                     ['EFO_0009514']  \n",
       "SAIGE_804_Fracture of hand or wrist                                  ['EFO_0009515']  \n",
       "SAIGE_835_Internal derangement of knee                               ['EFO_0009507']  \n",
       "\n",
       "[7799 rows x 26 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata.obs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gene_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ENSG00000000419</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ENSG00000000460</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ENSG00000000938</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ENSG00000000971</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ENSG00000001084</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
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       "    <tr>\n",
       "      <th>ENSG00000286169</th>\n",
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       "    <tr>\n",
       "      <th>ENSG00000286221</th>\n",
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       "    <tr>\n",
       "      <th>ENSG00000286231</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ENSG00000286239</th>\n",
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       "    <tr>\n",
       "      <th>ENSG00000286264</th>\n",
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       "</table>\n",
       "<p>13447 rows × 0 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: []\n",
       "Index: [ENSG00000000419, ENSG00000000460, ENSG00000000938, ENSG00000000971, ENSG00000001084, ENSG00000001461, ENSG00000001561, ENSG00000001617, ENSG00000001626, ENSG00000001630, ENSG00000001631, ENSG00000002016, ENSG00000002330, ENSG00000002587, ENSG00000002726, ENSG00000002745, ENSG00000002746, ENSG00000002822, ENSG00000002919, ENSG00000002933, ENSG00000003056, ENSG00000003137, ENSG00000003147, ENSG00000003249, ENSG00000003393, ENSG00000003400, ENSG00000003436, ENSG00000003509, ENSG00000003756, ENSG00000003989, ENSG00000004059, ENSG00000004139, ENSG00000004142, ENSG00000004399, ENSG00000004478, ENSG00000004487, ENSG00000004534, ENSG00000004766, ENSG00000004776, ENSG00000004777, ENSG00000004799, ENSG00000004809, ENSG00000004838, ENSG00000004846, ENSG00000004864, ENSG00000004897, ENSG00000004939, ENSG00000004948, ENSG00000004975, ENSG00000005001, ENSG00000005020, ENSG00000005059, ENSG00000005073, ENSG00000005075, ENSG00000005102, ENSG00000005108, ENSG00000005175, ENSG00000005189, ENSG00000005206, ENSG00000005243, ENSG00000005249, ENSG00000005339, ENSG00000005379, ENSG00000005381, ENSG00000005421, ENSG00000005436, ENSG00000005469, ENSG00000005471, ENSG00000005483, ENSG00000005486, ENSG00000005513, ENSG00000005700, ENSG00000005810, ENSG00000005812, ENSG00000005844, ENSG00000005882, ENSG00000005961, ENSG00000005981, ENSG00000006015, ENSG00000006016, ENSG00000006025, ENSG00000006042, ENSG00000006047, ENSG00000006059, ENSG00000006062, ENSG00000006071, ENSG00000006116, ENSG00000006118, ENSG00000006125, ENSG00000006128, ENSG00000006194, ENSG00000006210, ENSG00000006282, ENSG00000006283, ENSG00000006377, ENSG00000006432, ENSG00000006451, ENSG00000006453, ENSG00000006459, ENSG00000006468, ...]\n",
       "\n",
       "[13447 rows x 0 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata.var"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "ens2symbol = gwas_e[['gene_id', 'gene_symbol']].reset_index(drop=True).drop_duplicates().set_index('gene_id').to_dict()['gene_symbol']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "adata.var['gene_id'] = adata.var.index\n",
    "adata.var.index = [ens2symbol[x] for x in adata.var.gene_id]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "adata.var_names_make_unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gene_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>DPM1</th>\n",
       "      <td>ENSG00000000419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C1orf112</th>\n",
       "      <td>ENSG00000000460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FGR</th>\n",
       "      <td>ENSG00000000938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CFH</th>\n",
       "      <td>ENSG00000000971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCLC</th>\n",
       "      <td>ENSG00000001084</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AHRR-1</th>\n",
       "      <td>ENSG00000286169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AC009070.1</th>\n",
       "      <td>ENSG00000286221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AL445423.2</th>\n",
       "      <td>ENSG00000286231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AC093884.1</th>\n",
       "      <td>ENSG00000286239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AP001453.5</th>\n",
       "      <td>ENSG00000286264</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>13447 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    gene_id\n",
       "DPM1        ENSG00000000419\n",
       "C1orf112    ENSG00000000460\n",
       "FGR         ENSG00000000938\n",
       "CFH         ENSG00000000971\n",
       "GCLC        ENSG00000001084\n",
       "...                     ...\n",
       "AHRR-1      ENSG00000286169\n",
       "AC009070.1  ENSG00000286221\n",
       "AL445423.2  ENSG00000286231\n",
       "AC093884.1  ENSG00000286239\n",
       "AP001453.5  ENSG00000286264\n",
       "\n",
       "[13447 rows x 1 columns]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata.var"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(7799, 13447)"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 7799 × 13447\n",
       "    obs: 'studyId', 'pmid', 'pubAuthor', 'pubDate', 'pubJournal', 'pubTitle', 'traitReported', 'ancestryInitial', 'gene_id', 'gene_symbol', 'variant_V2G_id', 'variant_V2G_symbol', 'nInitial', 'numAssocLoci', 'source', 'source_otg', 'traitEfos', 'hasSumstats', 'ancestryReplication', 'nReplication', 'nCases', 'traitCategory', 'nTotal', 'variant_gene_id_pairs', 'variant_gene_symbol_pairs', 'traitEfosStr'\n",
       "    var: 'gene_id'"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata._inplace_subset_obs(adata.X.sum(1).A1 > 0)\n",
    "adata._inplace_subset_var(adata.X.sum(0).A1 > 0)\n",
    "adata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "adata.obs.pmid = ['' if not x else x for x in adata.obs.pmid]\n",
    "adata.obs.pmid = adata.obs.pmid.astype(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.options.display.max_columns = None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>studyId</th>\n",
       "      <th>pmid</th>\n",
       "      <th>pubAuthor</th>\n",
       "      <th>pubDate</th>\n",
       "      <th>pubJournal</th>\n",
       "      <th>pubTitle</th>\n",
       "      <th>traitReported</th>\n",
       "      <th>ancestryInitial</th>\n",
       "      <th>gene_id</th>\n",
       "      <th>gene_symbol</th>\n",
       "      <th>variant_V2G_id</th>\n",
       "      <th>variant_V2G_symbol</th>\n",
       "      <th>nInitial</th>\n",
       "      <th>numAssocLoci</th>\n",
       "      <th>source</th>\n",
       "      <th>source_otg</th>\n",
       "      <th>traitEfos</th>\n",
       "      <th>hasSumstats</th>\n",
       "      <th>ancestryReplication</th>\n",
       "      <th>nReplication</th>\n",
       "      <th>nCases</th>\n",
       "      <th>traitCategory</th>\n",
       "      <th>nTotal</th>\n",
       "      <th>variant_gene_id_pairs</th>\n",
       "      <th>variant_gene_symbol_pairs</th>\n",
       "      <th>traitEfosStr</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>uniq_index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial diseases</th>\n",
       "      <td>FINNGEN_R5_AB1_OTHER_BACTERIAL</td>\n",
       "      <td></td>\n",
       "      <td>FINNGEN_R5</td>\n",
       "      <td>2021-05-11</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Other bacterial diseases</td>\n",
       "      <td>[European=218792]</td>\n",
       "      <td>(ENSG00000132693, ENSG00000118922)</td>\n",
       "      <td>(CRP, KLF12)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>218792</td>\n",
       "      <td>2</td>\n",
       "      <td>otg</td>\n",
       "      <td>FINNGEN</td>\n",
       "      <td>[EFO_0000771]</td>\n",
       "      <td>True</td>\n",
       "      <td>[]</td>\n",
       "      <td>0</td>\n",
       "      <td>21132</td>\n",
       "      <td>infectious disease</td>\n",
       "      <td>218792.0</td>\n",
       "      <td>(((ENSG00000132693,), 1_159743672_A_G), ((ENSG...</td>\n",
       "      <td>(((CRP,), 1_159743672_A_G), ((KLF12,), 13_7429...</td>\n",
       "      <td>['EFO_0000771']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall</th>\n",
       "      <td>FINNGEN_R5_ABDOM_HERNIA</td>\n",
       "      <td></td>\n",
       "      <td>FINNGEN_R5</td>\n",
       "      <td>2021-05-11</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Hernia of abodminal wall</td>\n",
       "      <td>[European=218792]</td>\n",
       "      <td>(ENSG00000215817, ENSG00000143867, ENSG0000015...</td>\n",
       "      <td>(ZC3H11B, OSR1, BCL2L11, CALD1, PDE3A, NAV3, L...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>218792</td>\n",
       "      <td>7</td>\n",
       "      <td>otg</td>\n",
       "      <td>FINNGEN</td>\n",
       "      <td>[EFO_1001866]</td>\n",
       "      <td>True</td>\n",
       "      <td>[]</td>\n",
       "      <td>0</td>\n",
       "      <td>7619</td>\n",
       "      <td>gastrointestinal disease</td>\n",
       "      <td>218792.0</td>\n",
       "      <td>(((ENSG00000215817,), 1_219568478_G_A), ((ENSG...</td>\n",
       "      <td>(((ZC3H11B,), 1_219568478_G_A), ((OSR1,), 2_19...</td>\n",
       "      <td>['EFO_1001866']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (Atypical or mixed) (more controls excluded)</th>\n",
       "      <td>FINNGEN_R5_AD_AM_EXMORE</td>\n",
       "      <td></td>\n",
       "      <td>FINNGEN_R5</td>\n",
       "      <td>2021-05-11</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Alzheimer's disease (Atypical or mixed) (more ...</td>\n",
       "      <td>[European=112271]</td>\n",
       "      <td>(ENSG00000196141, ENSG00000130203)</td>\n",
       "      <td>(SPATS2L, APOE)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>112271</td>\n",
       "      <td>2</td>\n",
       "      <td>otg</td>\n",
       "      <td>FINNGEN</td>\n",
       "      <td>[EFO_0000249]</td>\n",
       "      <td>True</td>\n",
       "      <td>[]</td>\n",
       "      <td>0</td>\n",
       "      <td>800</td>\n",
       "      <td>nervous system disease</td>\n",
       "      <td>112271.0</td>\n",
       "      <td>(((ENSG00000196141,), 2_200208129_C_T), ((ENSG...</td>\n",
       "      <td>(((SPATS2L,), 2_200208129_C_T), ((APOE,), 19_4...</td>\n",
       "      <td>['EFO_0000249']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)</th>\n",
       "      <td>FINNGEN_R5_AD_LO</td>\n",
       "      <td></td>\n",
       "      <td>FINNGEN_R5</td>\n",
       "      <td>2021-05-11</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Alzheimer's disease (Late onset)</td>\n",
       "      <td>[European=217541]</td>\n",
       "      <td>(ENSG00000072071, ENSG00000130203)</td>\n",
       "      <td>(ADGRL1, APOE)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>217541</td>\n",
       "      <td>2</td>\n",
       "      <td>otg</td>\n",
       "      <td>FINNGEN</td>\n",
       "      <td>[EFO_1001870]</td>\n",
       "      <td>True</td>\n",
       "      <td>[]</td>\n",
       "      <td>0</td>\n",
       "      <td>2670</td>\n",
       "      <td>nervous system disease</td>\n",
       "      <td>217541.0</td>\n",
       "      <td>(((ENSG00000072071,), 19_14242284_T_G), ((ENSG...</td>\n",
       "      <td>(((ADGRL1,), 19_14242284_T_G), ((APOE,), 19_44...</td>\n",
       "      <td>['EFO_1001870']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural disorders due to alcohol, excluding acute intoxication</th>\n",
       "      <td>FINNGEN_R5_ALCOHOLMENTAL</td>\n",
       "      <td></td>\n",
       "      <td>FINNGEN_R5</td>\n",
       "      <td>2021-05-11</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Mental and behavioural disorders due to alcoho...</td>\n",
       "      <td>[European=218792]</td>\n",
       "      <td>(ENSG00000248144,)</td>\n",
       "      <td>(ADH1C,)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>218792</td>\n",
       "      <td>3</td>\n",
       "      <td>otg</td>\n",
       "      <td>FINNGEN</td>\n",
       "      <td>[MONDO_0021698, EFO_0000677]</td>\n",
       "      <td>True</td>\n",
       "      <td>[]</td>\n",
       "      <td>0</td>\n",
       "      <td>9672</td>\n",
       "      <td>nervous system disease</td>\n",
       "      <td>218792.0</td>\n",
       "      <td>(((ENSG00000248144,), 4_99352511_TTCTAATTTAGAT...</td>\n",
       "      <td>(((ADH1C,), 4_99352511_TTCTAATTTAGATATGAATTTTA...</td>\n",
       "      <td>['MONDO_0021698', 'EFO_0000677']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAIGE_782_Symptoms involving skin and other integumentary tissue</th>\n",
       "      <td>SAIGE_782</td>\n",
       "      <td></td>\n",
       "      <td>UKB SAIGE</td>\n",
       "      <td>2018-10-24</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Symptoms involving skin and other integumentar...</td>\n",
       "      <td>[European=408961]</td>\n",
       "      <td>(ENSG00000088280, ENSG00000125285)</td>\n",
       "      <td>(ASAP3, SOX21)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>408961</td>\n",
       "      <td>2</td>\n",
       "      <td>otg</td>\n",
       "      <td>SAIGE</td>\n",
       "      <td>[]</td>\n",
       "      <td>True</td>\n",
       "      <td>[]</td>\n",
       "      <td>0</td>\n",
       "      <td>1816</td>\n",
       "      <td>Uncategorised</td>\n",
       "      <td>408961.0</td>\n",
       "      <td>(((ENSG00000088280,), 1_23466067_C_A), ((ENSG0...</td>\n",
       "      <td>(((ASAP3,), 1_23466067_C_A), ((SOX21,), 13_949...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAIGE_803_2_Fracture of radius and ulna</th>\n",
       "      <td>SAIGE_803_2</td>\n",
       "      <td></td>\n",
       "      <td>UKB SAIGE</td>\n",
       "      <td>2018-10-24</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Fracture of radius and ulna</td>\n",
       "      <td>[European=393011]</td>\n",
       "      <td>(ENSG00000127415, ENSG00000146374, ENSG0000000...</td>\n",
       "      <td>(IDUA, RSPO3, WNT16)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>393011</td>\n",
       "      <td>3</td>\n",
       "      <td>otg</td>\n",
       "      <td>SAIGE</td>\n",
       "      <td>[EFO_0003950]</td>\n",
       "      <td>True</td>\n",
       "      <td>[]</td>\n",
       "      <td>0</td>\n",
       "      <td>5246</td>\n",
       "      <td>musculoskeletal or connective tissue disease</td>\n",
       "      <td>393011.0</td>\n",
       "      <td>(((ENSG00000127415,), 4_1011076_T_C), ((ENSG00...</td>\n",
       "      <td>(((IDUA,), 4_1011076_T_C), ((RSPO3,), 6_127138...</td>\n",
       "      <td>['EFO_0003950']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAIGE_803_Fracture of upper limb</th>\n",
       "      <td>SAIGE_803</td>\n",
       "      <td></td>\n",
       "      <td>UKB SAIGE</td>\n",
       "      <td>2018-10-24</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Fracture of upper limb</td>\n",
       "      <td>[European=396286]</td>\n",
       "      <td>(ENSG00000146374, ENSG00000164442, ENSG0000000...</td>\n",
       "      <td>(RSPO3, CITED2, WNT16)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>396286</td>\n",
       "      <td>3</td>\n",
       "      <td>otg</td>\n",
       "      <td>SAIGE</td>\n",
       "      <td>[EFO_0009514]</td>\n",
       "      <td>True</td>\n",
       "      <td>[]</td>\n",
       "      <td>0</td>\n",
       "      <td>8521</td>\n",
       "      <td>musculoskeletal or connective tissue disease</td>\n",
       "      <td>396286.0</td>\n",
       "      <td>(((ENSG00000146374,), 6_127142500_G_A), ((ENSG...</td>\n",
       "      <td>(((RSPO3,), 6_127142500_G_A), ((CITED2,), 6_14...</td>\n",
       "      <td>['EFO_0009514']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAIGE_804_Fracture of hand or wrist</th>\n",
       "      <td>SAIGE_804</td>\n",
       "      <td></td>\n",
       "      <td>UKB SAIGE</td>\n",
       "      <td>2018-10-24</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Fracture of hand or wrist</td>\n",
       "      <td>[European=391122]</td>\n",
       "      <td>(ENSG00000002745, ENSG00000101654)</td>\n",
       "      <td>(WNT16, RNMT)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>391122</td>\n",
       "      <td>2</td>\n",
       "      <td>otg</td>\n",
       "      <td>SAIGE</td>\n",
       "      <td>[EFO_0009515]</td>\n",
       "      <td>True</td>\n",
       "      <td>[]</td>\n",
       "      <td>0</td>\n",
       "      <td>3357</td>\n",
       "      <td>musculoskeletal or connective tissue disease</td>\n",
       "      <td>391122.0</td>\n",
       "      <td>(((ENSG00000002745,), 7_121316386_A_G), ((ENSG...</td>\n",
       "      <td>(((WNT16,), 7_121316386_A_G), ((RNMT,), 18_137...</td>\n",
       "      <td>['EFO_0009515']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAIGE_835_Internal derangement of knee</th>\n",
       "      <td>SAIGE_835</td>\n",
       "      <td></td>\n",
       "      <td>UKB SAIGE</td>\n",
       "      <td>2018-10-24</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Internal derangement of knee</td>\n",
       "      <td>[European=406887]</td>\n",
       "      <td>(ENSG00000167720, ENSG00000101019)</td>\n",
       "      <td>(SRR, UQCC1)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>406887</td>\n",
       "      <td>2</td>\n",
       "      <td>otg</td>\n",
       "      <td>SAIGE</td>\n",
       "      <td>[EFO_0009507]</td>\n",
       "      <td>True</td>\n",
       "      <td>[]</td>\n",
       "      <td>0</td>\n",
       "      <td>15430</td>\n",
       "      <td>injury, poisoning or other complication</td>\n",
       "      <td>406887.0</td>\n",
       "      <td>(((ENSG00000167720,), 17_2193286_G_A), ((ENSG0...</td>\n",
       "      <td>(((SRR,), 17_2193286_G_A), ((UQCC1,), 20_35416...</td>\n",
       "      <td>['EFO_0009507']</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7799 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                           studyId  \\\n",
       "uniq_index                                                                           \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...  FINNGEN_R5_AB1_OTHER_BACTERIAL   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall           FINNGEN_R5_ABDOM_HERNIA   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...         FINNGEN_R5_AD_AM_EXMORE   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)                 FINNGEN_R5_AD_LO   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...        FINNGEN_R5_ALCOHOLMENTAL   \n",
       "...                                                                            ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...                       SAIGE_782   \n",
       "SAIGE_803_2_Fracture of radius and ulna                                SAIGE_803_2   \n",
       "SAIGE_803_Fracture of upper limb                                         SAIGE_803   \n",
       "SAIGE_804_Fracture of hand or wrist                                      SAIGE_804   \n",
       "SAIGE_835_Internal derangement of knee                                   SAIGE_835   \n",
       "\n",
       "                                                   pmid   pubAuthor  \\\n",
       "uniq_index                                                            \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...       FINNGEN_R5   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall         FINNGEN_R5   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...       FINNGEN_R5   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)        FINNGEN_R5   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...       FINNGEN_R5   \n",
       "...                                                 ...         ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...        UKB SAIGE   \n",
       "SAIGE_803_2_Fracture of radius and ulna                   UKB SAIGE   \n",
       "SAIGE_803_Fracture of upper limb                          UKB SAIGE   \n",
       "SAIGE_804_Fracture of hand or wrist                       UKB SAIGE   \n",
       "SAIGE_835_Internal derangement of knee                    UKB SAIGE   \n",
       "\n",
       "                                                       pubDate pubJournal  \\\n",
       "uniq_index                                                                  \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...  2021-05-11       None   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall    2021-05-11       None   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...  2021-05-11       None   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)   2021-05-11       None   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...  2021-05-11       None   \n",
       "...                                                        ...        ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...  2018-10-24       None   \n",
       "SAIGE_803_2_Fracture of radius and ulna             2018-10-24       None   \n",
       "SAIGE_803_Fracture of upper limb                    2018-10-24       None   \n",
       "SAIGE_804_Fracture of hand or wrist                 2018-10-24       None   \n",
       "SAIGE_835_Internal derangement of knee              2018-10-24       None   \n",
       "\n",
       "                                                   pubTitle  \\\n",
       "uniq_index                                                    \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...     None   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall       None   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...     None   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)      None   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...     None   \n",
       "...                                                     ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...     None   \n",
       "SAIGE_803_2_Fracture of radius and ulna                None   \n",
       "SAIGE_803_Fracture of upper limb                       None   \n",
       "SAIGE_804_Fracture of hand or wrist                    None   \n",
       "SAIGE_835_Internal derangement of knee                 None   \n",
       "\n",
       "                                                                                        traitReported  \\\n",
       "uniq_index                                                                                              \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...                           Other bacterial diseases   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall                             Hernia of abodminal wall   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...  Alzheimer's disease (Atypical or mixed) (more ...   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)                    Alzheimer's disease (Late onset)   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...  Mental and behavioural disorders due to alcoho...   \n",
       "...                                                                                               ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...  Symptoms involving skin and other integumentar...   \n",
       "SAIGE_803_2_Fracture of radius and ulna                                   Fracture of radius and ulna   \n",
       "SAIGE_803_Fracture of upper limb                                               Fracture of upper limb   \n",
       "SAIGE_804_Fracture of hand or wrist                                         Fracture of hand or wrist   \n",
       "SAIGE_835_Internal derangement of knee                                   Internal derangement of knee   \n",
       "\n",
       "                                                      ancestryInitial  \\\n",
       "uniq_index                                                              \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...  [European=218792]   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall    [European=218792]   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...  [European=112271]   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)   [European=217541]   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...  [European=218792]   \n",
       "...                                                               ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...  [European=408961]   \n",
       "SAIGE_803_2_Fracture of radius and ulna             [European=393011]   \n",
       "SAIGE_803_Fracture of upper limb                    [European=396286]   \n",
       "SAIGE_804_Fracture of hand or wrist                 [European=391122]   \n",
       "SAIGE_835_Internal derangement of knee              [European=406887]   \n",
       "\n",
       "                                                                                              gene_id  \\\n",
       "uniq_index                                                                                              \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...                 (ENSG00000132693, ENSG00000118922)   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall    (ENSG00000215817, ENSG00000143867, ENSG0000015...   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...                 (ENSG00000196141, ENSG00000130203)   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)                  (ENSG00000072071, ENSG00000130203)   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...                                 (ENSG00000248144,)   \n",
       "...                                                                                               ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...                 (ENSG00000088280, ENSG00000125285)   \n",
       "SAIGE_803_2_Fracture of radius and ulna             (ENSG00000127415, ENSG00000146374, ENSG0000000...   \n",
       "SAIGE_803_Fracture of upper limb                    (ENSG00000146374, ENSG00000164442, ENSG0000000...   \n",
       "SAIGE_804_Fracture of hand or wrist                                (ENSG00000002745, ENSG00000101654)   \n",
       "SAIGE_835_Internal derangement of knee                             (ENSG00000167720, ENSG00000101019)   \n",
       "\n",
       "                                                                                          gene_symbol  \\\n",
       "uniq_index                                                                                              \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...                                       (CRP, KLF12)   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall    (ZC3H11B, OSR1, BCL2L11, CALD1, PDE3A, NAV3, L...   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...                                    (SPATS2L, APOE)   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)                                      (ADGRL1, APOE)   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...                                           (ADH1C,)   \n",
       "...                                                                                               ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...                                     (ASAP3, SOX21)   \n",
       "SAIGE_803_2_Fracture of radius and ulna                                          (IDUA, RSPO3, WNT16)   \n",
       "SAIGE_803_Fracture of upper limb                                               (RSPO3, CITED2, WNT16)   \n",
       "SAIGE_804_Fracture of hand or wrist                                                     (WNT16, RNMT)   \n",
       "SAIGE_835_Internal derangement of knee                                                   (SRR, UQCC1)   \n",
       "\n",
       "                                                   variant_V2G_id  \\\n",
       "uniq_index                                                          \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...            NaN   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall              NaN   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...            NaN   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)             NaN   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...            NaN   \n",
       "...                                                           ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...            NaN   \n",
       "SAIGE_803_2_Fracture of radius and ulna                       NaN   \n",
       "SAIGE_803_Fracture of upper limb                              NaN   \n",
       "SAIGE_804_Fracture of hand or wrist                           NaN   \n",
       "SAIGE_835_Internal derangement of knee                        NaN   \n",
       "\n",
       "                                                   variant_V2G_symbol  \\\n",
       "uniq_index                                                              \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...                NaN   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall                  NaN   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...                NaN   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)                 NaN   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...                NaN   \n",
       "...                                                               ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...                NaN   \n",
       "SAIGE_803_2_Fracture of radius and ulna                           NaN   \n",
       "SAIGE_803_Fracture of upper limb                                  NaN   \n",
       "SAIGE_804_Fracture of hand or wrist                               NaN   \n",
       "SAIGE_835_Internal derangement of knee                            NaN   \n",
       "\n",
       "                                                    nInitial  numAssocLoci  \\\n",
       "uniq_index                                                                   \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...    218792             2   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall      218792             7   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...    112271             2   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)     217541             2   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...    218792             3   \n",
       "...                                                      ...           ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...    408961             2   \n",
       "SAIGE_803_2_Fracture of radius and ulna               393011             3   \n",
       "SAIGE_803_Fracture of upper limb                      396286             3   \n",
       "SAIGE_804_Fracture of hand or wrist                   391122             2   \n",
       "SAIGE_835_Internal derangement of knee                406887             2   \n",
       "\n",
       "                                                   source source_otg  \\\n",
       "uniq_index                                                             \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...    otg    FINNGEN   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall      otg    FINNGEN   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...    otg    FINNGEN   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)     otg    FINNGEN   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...    otg    FINNGEN   \n",
       "...                                                   ...        ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...    otg      SAIGE   \n",
       "SAIGE_803_2_Fracture of radius and ulna               otg      SAIGE   \n",
       "SAIGE_803_Fracture of upper limb                      otg      SAIGE   \n",
       "SAIGE_804_Fracture of hand or wrist                   otg      SAIGE   \n",
       "SAIGE_835_Internal derangement of knee                otg      SAIGE   \n",
       "\n",
       "                                                                       traitEfos  \\\n",
       "uniq_index                                                                         \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...                 [EFO_0000771]   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall                   [EFO_1001866]   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...                 [EFO_0000249]   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)                  [EFO_1001870]   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...  [MONDO_0021698, EFO_0000677]   \n",
       "...                                                                          ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...                            []   \n",
       "SAIGE_803_2_Fracture of radius and ulna                            [EFO_0003950]   \n",
       "SAIGE_803_Fracture of upper limb                                   [EFO_0009514]   \n",
       "SAIGE_804_Fracture of hand or wrist                                [EFO_0009515]   \n",
       "SAIGE_835_Internal derangement of knee                             [EFO_0009507]   \n",
       "\n",
       "                                                   hasSumstats  \\\n",
       "uniq_index                                                       \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...        True   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall          True   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...        True   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)         True   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...        True   \n",
       "...                                                        ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...        True   \n",
       "SAIGE_803_2_Fracture of radius and ulna                   True   \n",
       "SAIGE_803_Fracture of upper limb                          True   \n",
       "SAIGE_804_Fracture of hand or wrist                       True   \n",
       "SAIGE_835_Internal derangement of knee                    True   \n",
       "\n",
       "                                                   ancestryReplication  \\\n",
       "uniq_index                                                               \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...                  []   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall                    []   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...                  []   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)                   []   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...                  []   \n",
       "...                                                                ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...                  []   \n",
       "SAIGE_803_2_Fracture of radius and ulna                             []   \n",
       "SAIGE_803_Fracture of upper limb                                    []   \n",
       "SAIGE_804_Fracture of hand or wrist                                 []   \n",
       "SAIGE_835_Internal derangement of knee                              []   \n",
       "\n",
       "                                                   nReplication nCases  \\\n",
       "uniq_index                                                               \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...            0  21132   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall              0   7619   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...            0    800   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)             0   2670   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...            0   9672   \n",
       "...                                                         ...    ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...            0   1816   \n",
       "SAIGE_803_2_Fracture of radius and ulna                       0   5246   \n",
       "SAIGE_803_Fracture of upper limb                              0   8521   \n",
       "SAIGE_804_Fracture of hand or wrist                           0   3357   \n",
       "SAIGE_835_Internal derangement of knee                        0  15430   \n",
       "\n",
       "                                                                                   traitCategory  \\\n",
       "uniq_index                                                                                         \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...                            infectious disease   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall                        gastrointestinal disease   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...                        nervous system disease   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)                         nervous system disease   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...                        nervous system disease   \n",
       "...                                                                                          ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...                                 Uncategorised   \n",
       "SAIGE_803_2_Fracture of radius and ulna             musculoskeletal or connective tissue disease   \n",
       "SAIGE_803_Fracture of upper limb                    musculoskeletal or connective tissue disease   \n",
       "SAIGE_804_Fracture of hand or wrist                 musculoskeletal or connective tissue disease   \n",
       "SAIGE_835_Internal derangement of knee                   injury, poisoning or other complication   \n",
       "\n",
       "                                                      nTotal  \\\n",
       "uniq_index                                                     \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...  218792.0   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall    218792.0   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...  112271.0   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)   217541.0   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...  218792.0   \n",
       "...                                                      ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...  408961.0   \n",
       "SAIGE_803_2_Fracture of radius and ulna             393011.0   \n",
       "SAIGE_803_Fracture of upper limb                    396286.0   \n",
       "SAIGE_804_Fracture of hand or wrist                 391122.0   \n",
       "SAIGE_835_Internal derangement of knee              406887.0   \n",
       "\n",
       "                                                                                variant_gene_id_pairs  \\\n",
       "uniq_index                                                                                              \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...  (((ENSG00000132693,), 1_159743672_A_G), ((ENSG...   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall    (((ENSG00000215817,), 1_219568478_G_A), ((ENSG...   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...  (((ENSG00000196141,), 2_200208129_C_T), ((ENSG...   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)   (((ENSG00000072071,), 19_14242284_T_G), ((ENSG...   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...  (((ENSG00000248144,), 4_99352511_TTCTAATTTAGAT...   \n",
       "...                                                                                               ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...  (((ENSG00000088280,), 1_23466067_C_A), ((ENSG0...   \n",
       "SAIGE_803_2_Fracture of radius and ulna             (((ENSG00000127415,), 4_1011076_T_C), ((ENSG00...   \n",
       "SAIGE_803_Fracture of upper limb                    (((ENSG00000146374,), 6_127142500_G_A), ((ENSG...   \n",
       "SAIGE_804_Fracture of hand or wrist                 (((ENSG00000002745,), 7_121316386_A_G), ((ENSG...   \n",
       "SAIGE_835_Internal derangement of knee              (((ENSG00000167720,), 17_2193286_G_A), ((ENSG0...   \n",
       "\n",
       "                                                                            variant_gene_symbol_pairs  \\\n",
       "uniq_index                                                                                              \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...  (((CRP,), 1_159743672_A_G), ((KLF12,), 13_7429...   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall    (((ZC3H11B,), 1_219568478_G_A), ((OSR1,), 2_19...   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...  (((SPATS2L,), 2_200208129_C_T), ((APOE,), 19_4...   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)   (((ADGRL1,), 19_14242284_T_G), ((APOE,), 19_44...   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...  (((ADH1C,), 4_99352511_TTCTAATTTAGATATGAATTTTA...   \n",
       "...                                                                                               ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...  (((ASAP3,), 1_23466067_C_A), ((SOX21,), 13_949...   \n",
       "SAIGE_803_2_Fracture of radius and ulna             (((IDUA,), 4_1011076_T_C), ((RSPO3,), 6_127138...   \n",
       "SAIGE_803_Fracture of upper limb                    (((RSPO3,), 6_127142500_G_A), ((CITED2,), 6_14...   \n",
       "SAIGE_804_Fracture of hand or wrist                 (((WNT16,), 7_121316386_A_G), ((RNMT,), 18_137...   \n",
       "SAIGE_835_Internal derangement of knee              (((SRR,), 17_2193286_G_A), ((UQCC1,), 20_35416...   \n",
       "\n",
       "                                                                        traitEfosStr  \n",
       "uniq_index                                                                            \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...                   ['EFO_0000771']  \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall                     ['EFO_1001866']  \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...                   ['EFO_0000249']  \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)                    ['EFO_1001870']  \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...  ['MONDO_0021698', 'EFO_0000677']  \n",
       "...                                                                              ...  \n",
       "SAIGE_782_Symptoms involving skin and other int...                                []  \n",
       "SAIGE_803_2_Fracture of radius and ulna                              ['EFO_0003950']  \n",
       "SAIGE_803_Fracture of upper limb                                     ['EFO_0009514']  \n",
       "SAIGE_804_Fracture of hand or wrist                                  ['EFO_0009515']  \n",
       "SAIGE_835_Internal derangement of knee                               ['EFO_0009507']  \n",
       "\n",
       "[7799 rows x 26 columns]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata.obs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "adata.obs.hasSumstats = adata.obs.hasSumstats.astype(bool)\n",
    "adata.obs.nCases = adata.obs.nCases.astype(float)\n",
    "adata.obs.nReplication = adata.obs.nReplication.astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ancestryInitial\n",
      "traitEfos\n",
      "ancestryReplication\n",
      "gene_id\n",
      "gene_symbol\n"
     ]
    }
   ],
   "source": [
    "sequence_columns = ['ancestryInitial', 'traitEfos', 'ancestryReplication', 'gene_id', 'gene_symbol']\n",
    "\n",
    "for x in sequence_columns:\n",
    "    print(x)\n",
    "    adata.obs[x] = [','.join([str(y) for y in x]) if isinstance(x, (list, tuple)) else '' for x in adata.obs[x]]\n",
    "    \n",
    "adata.obs.drop(columns=['variant_gene_id_pairs', 'variant_gene_symbol_pairs', 'variant_V2G_id', 'variant_V2G_symbol'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "... storing 'studyId' as categorical\n",
      "... storing 'pmid' as categorical\n",
      "... storing 'pubAuthor' as categorical\n",
      "... storing 'pubDate' as categorical\n",
      "... storing 'pubJournal' as categorical\n",
      "... storing 'pubTitle' as categorical\n",
      "... storing 'traitReported' as categorical\n",
      "... storing 'ancestryInitial' as categorical\n",
      "... storing 'gene_id' as categorical\n",
      "... storing 'gene_symbol' as categorical\n",
      "... storing 'source' as categorical\n",
      "... storing 'source_otg' as categorical\n",
      "... storing 'traitEfos' as categorical\n",
      "... storing 'ancestryReplication' as categorical\n",
      "... storing 'traitCategory' as categorical\n",
      "... storing 'traitEfosStr' as categorical\n"
     ]
    }
   ],
   "source": [
    "adata.write('data/otg-gwascat-20210816.h5ad')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>studyId</th>\n",
       "      <th>pmid</th>\n",
       "      <th>pubAuthor</th>\n",
       "      <th>pubDate</th>\n",
       "      <th>pubJournal</th>\n",
       "      <th>pubTitle</th>\n",
       "      <th>traitReported</th>\n",
       "      <th>ancestryInitial</th>\n",
       "      <th>gene_id</th>\n",
       "      <th>gene_symbol</th>\n",
       "      <th>nInitial</th>\n",
       "      <th>numAssocLoci</th>\n",
       "      <th>source</th>\n",
       "      <th>source_otg</th>\n",
       "      <th>traitEfos</th>\n",
       "      <th>hasSumstats</th>\n",
       "      <th>ancestryReplication</th>\n",
       "      <th>nReplication</th>\n",
       "      <th>nCases</th>\n",
       "      <th>traitCategory</th>\n",
       "      <th>nTotal</th>\n",
       "      <th>traitEfosStr</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>uniq_index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial diseases</th>\n",
       "      <td>FINNGEN_R5_AB1_OTHER_BACTERIAL</td>\n",
       "      <td></td>\n",
       "      <td>FINNGEN_R5</td>\n",
       "      <td>2021-05-11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Other bacterial diseases</td>\n",
       "      <td>European=218792</td>\n",
       "      <td>ENSG00000132693,ENSG00000118922</td>\n",
       "      <td>CRP,KLF12</td>\n",
       "      <td>218792</td>\n",
       "      <td>2</td>\n",
       "      <td>otg</td>\n",
       "      <td>FINNGEN</td>\n",
       "      <td>EFO_0000771</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td>0.0</td>\n",
       "      <td>21132.0</td>\n",
       "      <td>infectious disease</td>\n",
       "      <td>218792.0</td>\n",
       "      <td>['EFO_0000771']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall</th>\n",
       "      <td>FINNGEN_R5_ABDOM_HERNIA</td>\n",
       "      <td></td>\n",
       "      <td>FINNGEN_R5</td>\n",
       "      <td>2021-05-11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Hernia of abodminal wall</td>\n",
       "      <td>European=218792</td>\n",
       "      <td>ENSG00000215817,ENSG00000143867,ENSG0000015309...</td>\n",
       "      <td>ZC3H11B,OSR1,BCL2L11,CALD1,PDE3A,NAV3,LRRK1</td>\n",
       "      <td>218792</td>\n",
       "      <td>7</td>\n",
       "      <td>otg</td>\n",
       "      <td>FINNGEN</td>\n",
       "      <td>EFO_1001866</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td>0.0</td>\n",
       "      <td>7619.0</td>\n",
       "      <td>gastrointestinal disease</td>\n",
       "      <td>218792.0</td>\n",
       "      <td>['EFO_1001866']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (Atypical or mixed) (more controls excluded)</th>\n",
       "      <td>FINNGEN_R5_AD_AM_EXMORE</td>\n",
       "      <td></td>\n",
       "      <td>FINNGEN_R5</td>\n",
       "      <td>2021-05-11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Alzheimer's disease (Atypical or mixed) (more ...</td>\n",
       "      <td>European=112271</td>\n",
       "      <td>ENSG00000196141,ENSG00000130203</td>\n",
       "      <td>SPATS2L,APOE</td>\n",
       "      <td>112271</td>\n",
       "      <td>2</td>\n",
       "      <td>otg</td>\n",
       "      <td>FINNGEN</td>\n",
       "      <td>EFO_0000249</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td>0.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>nervous system disease</td>\n",
       "      <td>112271.0</td>\n",
       "      <td>['EFO_0000249']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)</th>\n",
       "      <td>FINNGEN_R5_AD_LO</td>\n",
       "      <td></td>\n",
       "      <td>FINNGEN_R5</td>\n",
       "      <td>2021-05-11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Alzheimer's disease (Late onset)</td>\n",
       "      <td>European=217541</td>\n",
       "      <td>ENSG00000072071,ENSG00000130203</td>\n",
       "      <td>ADGRL1,APOE</td>\n",
       "      <td>217541</td>\n",
       "      <td>2</td>\n",
       "      <td>otg</td>\n",
       "      <td>FINNGEN</td>\n",
       "      <td>EFO_1001870</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td>0.0</td>\n",
       "      <td>2670.0</td>\n",
       "      <td>nervous system disease</td>\n",
       "      <td>217541.0</td>\n",
       "      <td>['EFO_1001870']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural disorders due to alcohol, excluding acute intoxication</th>\n",
       "      <td>FINNGEN_R5_ALCOHOLMENTAL</td>\n",
       "      <td></td>\n",
       "      <td>FINNGEN_R5</td>\n",
       "      <td>2021-05-11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Mental and behavioural disorders due to alcoho...</td>\n",
       "      <td>European=218792</td>\n",
       "      <td>ENSG00000248144</td>\n",
       "      <td>ADH1C</td>\n",
       "      <td>218792</td>\n",
       "      <td>3</td>\n",
       "      <td>otg</td>\n",
       "      <td>FINNGEN</td>\n",
       "      <td>MONDO_0021698,EFO_0000677</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td>0.0</td>\n",
       "      <td>9672.0</td>\n",
       "      <td>nervous system disease</td>\n",
       "      <td>218792.0</td>\n",
       "      <td>['MONDO_0021698', 'EFO_0000677']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAIGE_782_Symptoms involving skin and other integumentary tissue</th>\n",
       "      <td>SAIGE_782</td>\n",
       "      <td></td>\n",
       "      <td>UKB SAIGE</td>\n",
       "      <td>2018-10-24</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Symptoms involving skin and other integumentar...</td>\n",
       "      <td>European=408961</td>\n",
       "      <td>ENSG00000088280,ENSG00000125285</td>\n",
       "      <td>ASAP3,SOX21</td>\n",
       "      <td>408961</td>\n",
       "      <td>2</td>\n",
       "      <td>otg</td>\n",
       "      <td>SAIGE</td>\n",
       "      <td></td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td>0.0</td>\n",
       "      <td>1816.0</td>\n",
       "      <td>Uncategorised</td>\n",
       "      <td>408961.0</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAIGE_803_2_Fracture of radius and ulna</th>\n",
       "      <td>SAIGE_803_2</td>\n",
       "      <td></td>\n",
       "      <td>UKB SAIGE</td>\n",
       "      <td>2018-10-24</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Fracture of radius and ulna</td>\n",
       "      <td>European=393011</td>\n",
       "      <td>ENSG00000127415,ENSG00000146374,ENSG00000002745</td>\n",
       "      <td>IDUA,RSPO3,WNT16</td>\n",
       "      <td>393011</td>\n",
       "      <td>3</td>\n",
       "      <td>otg</td>\n",
       "      <td>SAIGE</td>\n",
       "      <td>EFO_0003950</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td>0.0</td>\n",
       "      <td>5246.0</td>\n",
       "      <td>musculoskeletal or connective tissue disease</td>\n",
       "      <td>393011.0</td>\n",
       "      <td>['EFO_0003950']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAIGE_803_Fracture of upper limb</th>\n",
       "      <td>SAIGE_803</td>\n",
       "      <td></td>\n",
       "      <td>UKB SAIGE</td>\n",
       "      <td>2018-10-24</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Fracture of upper limb</td>\n",
       "      <td>European=396286</td>\n",
       "      <td>ENSG00000146374,ENSG00000164442,ENSG00000002745</td>\n",
       "      <td>RSPO3,CITED2,WNT16</td>\n",
       "      <td>396286</td>\n",
       "      <td>3</td>\n",
       "      <td>otg</td>\n",
       "      <td>SAIGE</td>\n",
       "      <td>EFO_0009514</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td>0.0</td>\n",
       "      <td>8521.0</td>\n",
       "      <td>musculoskeletal or connective tissue disease</td>\n",
       "      <td>396286.0</td>\n",
       "      <td>['EFO_0009514']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAIGE_804_Fracture of hand or wrist</th>\n",
       "      <td>SAIGE_804</td>\n",
       "      <td></td>\n",
       "      <td>UKB SAIGE</td>\n",
       "      <td>2018-10-24</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Fracture of hand or wrist</td>\n",
       "      <td>European=391122</td>\n",
       "      <td>ENSG00000002745,ENSG00000101654</td>\n",
       "      <td>WNT16,RNMT</td>\n",
       "      <td>391122</td>\n",
       "      <td>2</td>\n",
       "      <td>otg</td>\n",
       "      <td>SAIGE</td>\n",
       "      <td>EFO_0009515</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td>0.0</td>\n",
       "      <td>3357.0</td>\n",
       "      <td>musculoskeletal or connective tissue disease</td>\n",
       "      <td>391122.0</td>\n",
       "      <td>['EFO_0009515']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAIGE_835_Internal derangement of knee</th>\n",
       "      <td>SAIGE_835</td>\n",
       "      <td></td>\n",
       "      <td>UKB SAIGE</td>\n",
       "      <td>2018-10-24</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Internal derangement of knee</td>\n",
       "      <td>European=406887</td>\n",
       "      <td>ENSG00000167720,ENSG00000101019</td>\n",
       "      <td>SRR,UQCC1</td>\n",
       "      <td>406887</td>\n",
       "      <td>2</td>\n",
       "      <td>otg</td>\n",
       "      <td>SAIGE</td>\n",
       "      <td>EFO_0009507</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td>0.0</td>\n",
       "      <td>15430.0</td>\n",
       "      <td>injury, poisoning or other complication</td>\n",
       "      <td>406887.0</td>\n",
       "      <td>['EFO_0009507']</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7799 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                           studyId  \\\n",
       "uniq_index                                                                           \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...  FINNGEN_R5_AB1_OTHER_BACTERIAL   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall           FINNGEN_R5_ABDOM_HERNIA   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...         FINNGEN_R5_AD_AM_EXMORE   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)                 FINNGEN_R5_AD_LO   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...        FINNGEN_R5_ALCOHOLMENTAL   \n",
       "...                                                                            ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...                       SAIGE_782   \n",
       "SAIGE_803_2_Fracture of radius and ulna                                SAIGE_803_2   \n",
       "SAIGE_803_Fracture of upper limb                                         SAIGE_803   \n",
       "SAIGE_804_Fracture of hand or wrist                                      SAIGE_804   \n",
       "SAIGE_835_Internal derangement of knee                                   SAIGE_835   \n",
       "\n",
       "                                                   pmid   pubAuthor  \\\n",
       "uniq_index                                                            \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...       FINNGEN_R5   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall         FINNGEN_R5   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...       FINNGEN_R5   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)        FINNGEN_R5   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...       FINNGEN_R5   \n",
       "...                                                 ...         ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...        UKB SAIGE   \n",
       "SAIGE_803_2_Fracture of radius and ulna                   UKB SAIGE   \n",
       "SAIGE_803_Fracture of upper limb                          UKB SAIGE   \n",
       "SAIGE_804_Fracture of hand or wrist                       UKB SAIGE   \n",
       "SAIGE_835_Internal derangement of knee                    UKB SAIGE   \n",
       "\n",
       "                                                       pubDate pubJournal  \\\n",
       "uniq_index                                                                  \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...  2021-05-11        NaN   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall    2021-05-11        NaN   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...  2021-05-11        NaN   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)   2021-05-11        NaN   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...  2021-05-11        NaN   \n",
       "...                                                        ...        ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...  2018-10-24        NaN   \n",
       "SAIGE_803_2_Fracture of radius and ulna             2018-10-24        NaN   \n",
       "SAIGE_803_Fracture of upper limb                    2018-10-24        NaN   \n",
       "SAIGE_804_Fracture of hand or wrist                 2018-10-24        NaN   \n",
       "SAIGE_835_Internal derangement of knee              2018-10-24        NaN   \n",
       "\n",
       "                                                   pubTitle  \\\n",
       "uniq_index                                                    \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...      NaN   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall        NaN   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...      NaN   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)       NaN   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...      NaN   \n",
       "...                                                     ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...      NaN   \n",
       "SAIGE_803_2_Fracture of radius and ulna                 NaN   \n",
       "SAIGE_803_Fracture of upper limb                        NaN   \n",
       "SAIGE_804_Fracture of hand or wrist                     NaN   \n",
       "SAIGE_835_Internal derangement of knee                  NaN   \n",
       "\n",
       "                                                                                        traitReported  \\\n",
       "uniq_index                                                                                              \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...                           Other bacterial diseases   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall                             Hernia of abodminal wall   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...  Alzheimer's disease (Atypical or mixed) (more ...   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)                    Alzheimer's disease (Late onset)   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...  Mental and behavioural disorders due to alcoho...   \n",
       "...                                                                                               ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...  Symptoms involving skin and other integumentar...   \n",
       "SAIGE_803_2_Fracture of radius and ulna                                   Fracture of radius and ulna   \n",
       "SAIGE_803_Fracture of upper limb                                               Fracture of upper limb   \n",
       "SAIGE_804_Fracture of hand or wrist                                         Fracture of hand or wrist   \n",
       "SAIGE_835_Internal derangement of knee                                   Internal derangement of knee   \n",
       "\n",
       "                                                    ancestryInitial  \\\n",
       "uniq_index                                                            \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...  European=218792   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall    European=218792   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...  European=112271   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)   European=217541   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...  European=218792   \n",
       "...                                                             ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...  European=408961   \n",
       "SAIGE_803_2_Fracture of radius and ulna             European=393011   \n",
       "SAIGE_803_Fracture of upper limb                    European=396286   \n",
       "SAIGE_804_Fracture of hand or wrist                 European=391122   \n",
       "SAIGE_835_Internal derangement of knee              European=406887   \n",
       "\n",
       "                                                                                              gene_id  \\\n",
       "uniq_index                                                                                              \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...                    ENSG00000132693,ENSG00000118922   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall    ENSG00000215817,ENSG00000143867,ENSG0000015309...   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...                    ENSG00000196141,ENSG00000130203   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)                     ENSG00000072071,ENSG00000130203   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...                                    ENSG00000248144   \n",
       "...                                                                                               ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...                    ENSG00000088280,ENSG00000125285   \n",
       "SAIGE_803_2_Fracture of radius and ulna               ENSG00000127415,ENSG00000146374,ENSG00000002745   \n",
       "SAIGE_803_Fracture of upper limb                      ENSG00000146374,ENSG00000164442,ENSG00000002745   \n",
       "SAIGE_804_Fracture of hand or wrist                                   ENSG00000002745,ENSG00000101654   \n",
       "SAIGE_835_Internal derangement of knee                                ENSG00000167720,ENSG00000101019   \n",
       "\n",
       "                                                                                    gene_symbol  \\\n",
       "uniq_index                                                                                        \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...                                    CRP,KLF12   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall    ZC3H11B,OSR1,BCL2L11,CALD1,PDE3A,NAV3,LRRK1   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...                                 SPATS2L,APOE   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)                                   ADGRL1,APOE   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...                                        ADH1C   \n",
       "...                                                                                         ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...                                  ASAP3,SOX21   \n",
       "SAIGE_803_2_Fracture of radius and ulna                                        IDUA,RSPO3,WNT16   \n",
       "SAIGE_803_Fracture of upper limb                                             RSPO3,CITED2,WNT16   \n",
       "SAIGE_804_Fracture of hand or wrist                                                  WNT16,RNMT   \n",
       "SAIGE_835_Internal derangement of knee                                                SRR,UQCC1   \n",
       "\n",
       "                                                    nInitial  numAssocLoci  \\\n",
       "uniq_index                                                                   \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...    218792             2   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall      218792             7   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...    112271             2   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)     217541             2   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...    218792             3   \n",
       "...                                                      ...           ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...    408961             2   \n",
       "SAIGE_803_2_Fracture of radius and ulna               393011             3   \n",
       "SAIGE_803_Fracture of upper limb                      396286             3   \n",
       "SAIGE_804_Fracture of hand or wrist                   391122             2   \n",
       "SAIGE_835_Internal derangement of knee                406887             2   \n",
       "\n",
       "                                                   source source_otg  \\\n",
       "uniq_index                                                             \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...    otg    FINNGEN   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall      otg    FINNGEN   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...    otg    FINNGEN   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)     otg    FINNGEN   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...    otg    FINNGEN   \n",
       "...                                                   ...        ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...    otg      SAIGE   \n",
       "SAIGE_803_2_Fracture of radius and ulna               otg      SAIGE   \n",
       "SAIGE_803_Fracture of upper limb                      otg      SAIGE   \n",
       "SAIGE_804_Fracture of hand or wrist                   otg      SAIGE   \n",
       "SAIGE_835_Internal derangement of knee                otg      SAIGE   \n",
       "\n",
       "                                                                    traitEfos  \\\n",
       "uniq_index                                                                      \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...                EFO_0000771   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall                  EFO_1001866   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...                EFO_0000249   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)                 EFO_1001870   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...  MONDO_0021698,EFO_0000677   \n",
       "...                                                                       ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...                              \n",
       "SAIGE_803_2_Fracture of radius and ulna                           EFO_0003950   \n",
       "SAIGE_803_Fracture of upper limb                                  EFO_0009514   \n",
       "SAIGE_804_Fracture of hand or wrist                               EFO_0009515   \n",
       "SAIGE_835_Internal derangement of knee                            EFO_0009507   \n",
       "\n",
       "                                                    hasSumstats  \\\n",
       "uniq_index                                                        \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...         True   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall           True   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...         True   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)          True   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...         True   \n",
       "...                                                         ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...         True   \n",
       "SAIGE_803_2_Fracture of radius and ulna                    True   \n",
       "SAIGE_803_Fracture of upper limb                           True   \n",
       "SAIGE_804_Fracture of hand or wrist                        True   \n",
       "SAIGE_835_Internal derangement of knee                     True   \n",
       "\n",
       "                                                   ancestryReplication  \\\n",
       "uniq_index                                                               \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...                       \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall                         \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...                       \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)                        \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...                       \n",
       "...                                                                ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...                       \n",
       "SAIGE_803_2_Fracture of radius and ulna                                  \n",
       "SAIGE_803_Fracture of upper limb                                         \n",
       "SAIGE_804_Fracture of hand or wrist                                      \n",
       "SAIGE_835_Internal derangement of knee                                   \n",
       "\n",
       "                                                    nReplication   nCases  \\\n",
       "uniq_index                                                                  \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...           0.0  21132.0   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall             0.0   7619.0   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...           0.0    800.0   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)            0.0   2670.0   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...           0.0   9672.0   \n",
       "...                                                          ...      ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...           0.0   1816.0   \n",
       "SAIGE_803_2_Fracture of radius and ulna                      0.0   5246.0   \n",
       "SAIGE_803_Fracture of upper limb                             0.0   8521.0   \n",
       "SAIGE_804_Fracture of hand or wrist                          0.0   3357.0   \n",
       "SAIGE_835_Internal derangement of knee                       0.0  15430.0   \n",
       "\n",
       "                                                                                   traitCategory  \\\n",
       "uniq_index                                                                                         \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...                            infectious disease   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall                        gastrointestinal disease   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...                        nervous system disease   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)                         nervous system disease   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...                        nervous system disease   \n",
       "...                                                                                          ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...                                 Uncategorised   \n",
       "SAIGE_803_2_Fracture of radius and ulna             musculoskeletal or connective tissue disease   \n",
       "SAIGE_803_Fracture of upper limb                    musculoskeletal or connective tissue disease   \n",
       "SAIGE_804_Fracture of hand or wrist                 musculoskeletal or connective tissue disease   \n",
       "SAIGE_835_Internal derangement of knee                   injury, poisoning or other complication   \n",
       "\n",
       "                                                      nTotal  \\\n",
       "uniq_index                                                     \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...  218792.0   \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall    218792.0   \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...  112271.0   \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)   217541.0   \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...  218792.0   \n",
       "...                                                      ...   \n",
       "SAIGE_782_Symptoms involving skin and other int...  408961.0   \n",
       "SAIGE_803_2_Fracture of radius and ulna             393011.0   \n",
       "SAIGE_803_Fracture of upper limb                    396286.0   \n",
       "SAIGE_804_Fracture of hand or wrist                 391122.0   \n",
       "SAIGE_835_Internal derangement of knee              406887.0   \n",
       "\n",
       "                                                                        traitEfosStr  \n",
       "uniq_index                                                                            \n",
       "FINNGEN_R5_AB1_OTHER_BACTERIAL_Other bacterial ...                   ['EFO_0000771']  \n",
       "FINNGEN_R5_ABDOM_HERNIA_Hernia of abodminal wall                     ['EFO_1001866']  \n",
       "FINNGEN_R5_AD_AM_EXMORE_Alzheimer's disease (At...                   ['EFO_0000249']  \n",
       "FINNGEN_R5_AD_LO_Alzheimer's disease (Late onset)                    ['EFO_1001870']  \n",
       "FINNGEN_R5_ALCOHOLMENTAL_Mental and behavioural...  ['MONDO_0021698', 'EFO_0000677']  \n",
       "...                                                                              ...  \n",
       "SAIGE_782_Symptoms involving skin and other int...                                []  \n",
       "SAIGE_803_2_Fracture of radius and ulna                              ['EFO_0003950']  \n",
       "SAIGE_803_Fracture of upper limb                                     ['EFO_0009514']  \n",
       "SAIGE_804_Fracture of hand or wrist                                  ['EFO_0009515']  \n",
       "SAIGE_835_Internal derangement of knee                               ['EFO_0009507']  \n",
       "\n",
       "[7799 rows x 22 columns]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata.obs"
   ]
  }
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