diff --git a/GEM2CHARGEGLI_python3.py b/GEM2CHARGEGLI_python3.py
index 08782c6..8459d5b 100644
--- a/GEM2CHARGEGLI_python3.py
+++ b/GEM2CHARGEGLI_python3.py
@@ -2,7 +2,7 @@
 
 ###################################
 ### Copyright (C) 2022 Cong Pan ###
-### version 0.1, March 4, 2022  ###
+### version 0.1, March 4, 2022   ###
 ###################################
 
 # NOTE: this script is used to convert GEM (v1.4.1 or later) output to the meta-analysis-ready format for Phase2 CHARGE Gene-Lifestyle Interactions projects
@@ -103,6 +103,12 @@
     columns1 = {}
     for i in range(len(fields1)):
         columns1[fields1[i]] = i
+    if not "AF_" + Ename + "_0" in columns1 or not "AF_" + Ename + "_1" in columns1 or not "N_" + Ename + "_1" in columns1:
+        quantE = True
+        print("quantE is True")
+    else:
+        quantE = False
+        print("quantE is False")
     if infile2.endswith(".gz"):
         infile2_handle = gzip.open(infile2, "rt", encoding='utf-8')
     else:
@@ -113,7 +119,11 @@
     columns2 = {}
     for i in range(len(fields2)):
         columns2[fields2[i]] = i
-    outfile_handle.write(b"SNPID\tCHR\tPOS\tINFO\tIMPUTED\tEFFECT_ALLELE\tNON_EFFECT_ALLELE\tEAF_ALL\tEAF_E0\tEAF_E1\tN\tN_EXP\tBETA_SNP_M2\tSE_SNP_M2\tP_SNP_M2\tBETA_SNP_M1\tSE_SNP_M1_MB\tP_SNP_M1_MB\tSE_SNP_M1_ROBUST\tP_SNP_M1_ROBUST\tBETA_INT\tSE_INT_MB\tP_INT_MB\tSE_INT_ROBUST\tP_INT_ROBUST\tP_JOINT_MB\tCOV_SNP_INT_MB\tP_JOINT_ROBUST\tCOV_SNP_INT_ROBUST\n")
+    #outfile_handle.write(b"SNPID\tCHR\tPOS\tINFO\tIMPUTED\tEFFECT_ALLELE\tNON_EFFECT_ALLELE\tEAF_ALL\tEAF_E0\tEAF_E1\tN\tN_EXP\tBETA_SNP_M2\tSE_SNP_M2\tP_SNP_M2\tBETA_SNP_M1\tSE_SNP_M1_MB\tP_SNP_M1_MB\tSE_SNP_M1_ROBUST\tP_SNP_M1_ROBUST\tBETA_INT\tSE_INT_MB\tP_INT_MB\tSE_INT_ROBUST\tP_INT_ROBUST\tP_JOINT_MB\tCOV_SNP_INT_MB\tP_JOINT_ROBUST\tCOV_SNP_INT_ROBUST\n")
+    if quantE:
+        outfile_handle.write(b"SNPID\tCHR\tPOS\tINFO\tIMPUTED\tEFFECT_ALLELE\tNON_EFFECT_ALLELE\tEAF_ALL\tN\tBETA_SNP_M2\tSE_SNP_M2\tP_SNP_M2\tBETA_SNP_M1\tSE_SNP_M1_MB\tP_SNP_M1_MB\tSE_SNP_M1_ROBUST\tP_SNP_M1_ROBUST\tBETA_INT\tSE_INT_MB\tP_INT_MB\tSE_INT_ROBUST\tP_INT_ROBUST\tP_JOINT_MB\tCOV_SNP_INT_MB\tP_JOINT_ROBUST\tCOV_SNP_INT_ROBUST\n")
+    else:
+        outfile_handle.write(b"SNPID\tCHR\tPOS\tINFO\tIMPUTED\tEFFECT_ALLELE\tNON_EFFECT_ALLELE\tEAF_ALL\tEAF_E0\tEAF_E1\tN\tN_EXP\tBETA_SNP_M2\tSE_SNP_M2\tP_SNP_M2\tBETA_SNP_M1\tSE_SNP_M1_MB\tP_SNP_M1_MB\tSE_SNP_M1_ROBUST\tP_SNP_M1_ROBUST\tBETA_INT\tSE_INT_MB\tP_INT_MB\tSE_INT_ROBUST\tP_INT_ROBUST\tP_JOINT_MB\tCOV_SNP_INT_MB\tP_JOINT_ROBUST\tCOV_SNP_INT_ROBUST\n")
     line_ct = 1
     while line1 and line2:
         line1 = infile1_handle.readline()
@@ -183,8 +193,11 @@
         else:
             p_snp_m1_mb = "{:.6}".format(stats.chi2.sf((float(fields1[columns1["Beta_G"]])/float(fields1[columns1["SE_Beta_G"]]))**2, 1))
             p_snp_m1_robust = "{:.6}".format(stats.chi2.sf((float(fields1[columns1["Beta_G"]])/float(fields1[columns1["robust_SE_Beta_G"]]))**2, 1))
-        outfile_handle.write(str.encode(fields1[columns1["SNPID"]]) + b"\t" + str.encode(fields1[columns1["CHR"]]) + b"\t" + str.encode(fields1[columns1["POS"]]) + b"\t" + str.encode(info[fields1[columns1["SNPID"]]]) + b"\t" + str.encode(imputed[fields1[columns1["SNPID"]]]) + b"\t" + str.encode(fields1[columns1["Effect_Allele"]]) + b"\t" + str.encode(fields1[columns1["Non_Effect_Allele"]]) + b"\t" + str.encode(fields1[columns1["AF"]]) + b"\t" + str.encode(fields1[columns1["AF_" + Ename + "_0"]]) + b"\t" + str.encode(fields1[columns1["AF_" + Ename + "_1"]]) + b"\t" + str.encode(fields1[columns1["N_Samples"]]) + b"\t" + str.encode(fields1[columns1["N_" + Ename + "_1"]]) + b"\t" + str.encode(fields2[columns2["Beta_Marginal"]]) + b"\t" + str.encode(fields2[columns2["SE_Beta_Marginal"]]) + b"\t" + str.encode(fields2[columns2["P_Value_Marginal"]]) + b"\t" + str.encode(fields1[columns1["Beta_G"]]) + b"\t" + str.encode(fields1[columns1["SE_Beta_G"]]) + b"\t" + str.encode(p_snp_m1_mb) + b"\t" + str.encode(fields1[columns1["robust_SE_Beta_G"]]) + b"\t" + str.encode(p_snp_m1_robust) + b"\t" + str.encode(fields1[columns1["Beta_G-" + Ename]]) + b"\t" + str.encode(fields1[columns1["SE_Beta_G-" + Ename]]) + b"\t" + str.encode(fields1[columns1["P_Value_Interaction"]]) + b"\t" + str.encode(fields1[columns1["robust_SE_Beta_G-" + Ename]]) + b"\t" + str.encode(fields1[columns1["robust_P_Value_Interaction"]]) + b"\t" + str.encode(fields1[columns1["P_Value_Joint"]]) + b"\t" + str.encode(fields1[columns1["Cov_Beta_G_G-" + Ename]]) + b"\t" + str.encode(fields1[columns1["robust_P_Value_Joint"]]) + b"\t" + str.encode(fields1[columns1["robust_Cov_Beta_G_G-" + Ename]]) + b"\n")
-        
+        #outfile_handle.write(str.encode(fields1[columns1["SNPID"]]) + b"\t" + str.encode(fields1[columns1["CHR"]]) + b"\t" + str.encode(fields1[columns1["POS"]]) + b"\t" + str.encode(info[fields1[columns1["SNPID"]]]) + b"\t" + str.encode(imputed[fields1[columns1["SNPID"]]]) + b"\t" + str.encode(fields1[columns1["Effect_Allele"]]) + b"\t" + str.encode(fields1[columns1["Non_Effect_Allele"]]) + b"\t" + str.encode(fields1[columns1["AF"]]) + b"\t" + str.encode(fields1[columns1["AF_" + Ename + "_0"]]) + b"\t" + str.encode(fields1[columns1["AF_" + Ename + "_1"]]) + b"\t" + str.encode(fields1[columns1["N_Samples"]]) + b"\t" + str.encode(fields1[columns1["N_" + Ename + "_1"]]) + b"\t" + str.encode(fields2[columns2["Beta_Marginal"]]) + b"\t" + str.encode(fields2[columns2["SE_Beta_Marginal"]]) + b"\t" + str.encode(fields2[columns2["P_Value_Marginal"]]) + b"\t" + str.encode(fields1[columns1["Beta_G"]]) + b"\t" + str.encode(fields1[columns1["SE_Beta_G"]]) + b"\t" + str.encode(p_snp_m1_mb) + b"\t" + str.encode(fields1[columns1["robust_SE_Beta_G"]]) + b"\t" + str.encode(p_snp_m1_robust) + b"\t" + str.encode(fields1[columns1["Beta_G-" + Ename]]) + b"\t" + str.encode(fields1[columns1["SE_Beta_G-" + Ename]]) + b"\t" + str.encode(fields1[columns1["P_Value_Interaction"]]) + b"\t" + str.encode(fields1[columns1["robust_SE_Beta_G-" + Ename]]) + b"\t" + str.encode(fields1[columns1["robust_P_Value_Interaction"]]) + b"\t" + str.encode(fields1[columns1["P_Value_Joint"]]) + b"\t" + str.encode(fields1[columns1["Cov_Beta_G_G-" + Ename]]) + b"\t" + str.encode(fields1[columns1["robust_P_Value_Joint"]]) + b"\t" + str.encode(fields1[columns1["robust_Cov_Beta_G_G-" + Ename]]) + b"\n")
+        if quantE:
+            outfile_handle.write(str.encode(fields1[columns1["SNPID"]]) + b"\t" + str.encode(fields1[columns1["CHR"]]) + b"\t" + str.encode(fields1[columns1["POS"]]) + b"\t" + str.encode(info[fields1[columns1["SNPID"]]]) + b"\t" + str.encode(imputed[fields1[columns1["SNPID"]]]) + b"\t" + str.encode(fields1[columns1["Effect_Allele"]]) + b"\t" + str.encode(fields1[columns1["Non_Effect_Allele"]]) + b"\t" + str.encode(fields1[columns1["AF"]]) + b"\t"  + str.encode(fields1[columns1["N_Samples"]]) + b"\t"  + str.encode(fields2[columns2["Beta_Marginal"]]) + b"\t" + str.encode(fields2[columns2["SE_Beta_Marginal"]]) + b"\t" + str.encode(fields2[columns2["P_Value_Marginal"]]) + b"\t" + str.encode(fields1[columns1["Beta_G"]]) + b"\t" + str.encode(fields1[columns1["SE_Beta_G"]]) + b"\t" + str.encode(p_snp_m1_mb) + b"\t" + str.encode(fields1[columns1["robust_SE_Beta_G"]]) + b"\t" + str.encode(p_snp_m1_robust) + b"\t" + str.encode(fields1[columns1["Beta_G-" + Ename]]) + b"\t" + str.encode(fields1[columns1["SE_Beta_G-" + Ename]]) + b"\t" + str.encode(fields1[columns1["P_Value_Interaction"]]) + b"\t" + str.encode(fields1[columns1["robust_SE_Beta_G-" + Ename]]) + b"\t" + str.encode(fields1[columns1["robust_P_Value_Interaction"]]) + b"\t" + str.encode(fields1[columns1["P_Value_Joint"]]) + b"\t" + str.encode(fields1[columns1["Cov_Beta_G_G-" + Ename]]) + b"\t" + str.encode(fields1[columns1["robust_P_Value_Joint"]]) + b"\t" + str.encode(fields1[columns1["robust_Cov_Beta_G_G-" + Ename]]) + b"\n")
+        else:
+            outfile_handle.write(str.encode(fields1[columns1["SNPID"]]) + b"\t" + str.encode(fields1[columns1["CHR"]]) + b"\t" + str.encode(fields1[columns1["POS"]]) + b"\t" + str.encode(info[fields1[columns1["SNPID"]]]) + b"\t" + str.encode(imputed[fields1[columns1["SNPID"]]]) + b"\t" + str.encode(fields1[columns1["Effect_Allele"]]) + b"\t" + str.encode(fields1[columns1["Non_Effect_Allele"]]) + b"\t" + str.encode(fields1[columns1["AF"]]) + b"\t" + str.encode(fields1[columns1["AF_" + Ename + "_0"]]) + b"\t" + str.encode(fields1[columns1["AF_" + Ename + "_1"]]) + b"\t" + str.encode(fields1[columns1["N_Samples"]]) + b"\t" + str.encode(fields1[columns1["N_" + Ename + "_1"]]) + b"\t" + str.encode(fields2[columns2["Beta_Marginal"]]) + b"\t" + str.encode(fields2[columns2["SE_Beta_Marginal"]]) + b"\t" + str.encode(fields2[columns2["P_Value_Marginal"]]) + b"\t" + str.encode(fields1[columns1["Beta_G"]]) + b"\t" + str.encode(fields1[columns1["SE_Beta_G"]]) + b"\t" + str.encode(p_snp_m1_mb) + b"\t" + str.encode(fields1[columns1["robust_SE_Beta_G"]]) + b"\t" + str.encode(p_snp_m1_robust) + b"\t" + str.encode(fields1[columns1["Beta_G-" + Ename]]) + b"\t" + str.encode(fields1[columns1["SE_Beta_G-" + Ename]]) + b"\t" + str.encode(fields1[columns1["P_Value_Interaction"]]) + b"\t" + str.encode(fields1[columns1["robust_SE_Beta_G-" + Ename]]) + b"\t" + str.encode(fields1[columns1["robust_P_Value_Interaction"]]) + b"\t" + str.encode(fields1[columns1["P_Value_Joint"]]) + b"\t" + str.encode(fields1[columns1["Cov_Beta_G_G-" + Ename]]) + b"\t" + str.encode(fields1[columns1["robust_P_Value_Joint"]]) + b"\t" + str.encode(fields1[columns1["robust_Cov_Beta_G_G-" + Ename]]) + b"\n")
     infile1_handle.close()
     infile2_handle.close()
 
@@ -253,7 +266,16 @@
         for i in range(len(fields2)):
             columns2[fields2[i]] = i
         if chr == 1:
-            outfile_handle.write(b"SNPID\tCHR\tPOS\tINFO\tIMPUTED\tEFFECT_ALLELE\tNON_EFFECT_ALLELE\tEAF_ALL\tEAF_E0\tEAF_E1\tN\tN_EXP\tBETA_SNP_M2\tSE_SNP_M2\tP_SNP_M2\tBETA_SNP_M1\tSE_SNP_M1_MB\tP_SNP_M1_MB\tSE_SNP_M1_ROBUST\tP_SNP_M1_ROBUST\tBETA_INT\tSE_INT_MB\tP_INT_MB\tSE_INT_ROBUST\tP_INT_ROBUST\tP_JOINT_MB\tCOV_SNP_INT_MB\tP_JOINT_ROBUST\tCOV_SNP_INT_ROBUST\n")
+            #outfile_handle.write(b"SNPID\tCHR\tPOS\tINFO\tIMPUTED\tEFFECT_ALLELE\tNON_EFFECT_ALLELE\tEAF_ALL\tEAF_E0\tEAF_E1\tN\tN_EXP\tBETA_SNP_M2\tSE_SNP_M2\tP_SNP_M2\tBETA_SNP_M1\tSE_SNP_M1_MB\tP_SNP_M1_MB\tSE_SNP_M1_ROBUST\tP_SNP_M1_ROBUST\tBETA_INT\tSE_INT_MB\tP_INT_MB\tSE_INT_ROBUST\tP_INT_ROBUST\tP_JOINT_MB\tCOV_SNP_INT_MB\tP_JOINT_ROBUST\tCOV_SNP_INT_ROBUST\n")
+            if not "AF_" + Ename + "_0" in columns1 or not "AF_" + Ename + "_1" in columns1 or not "N_" + Ename + "_1" in columns1:
+                quantE = True
+            else:
+                quantE = False
+            if quantE:
+                outfile_handle.write(b"SNPID\tCHR\tPOS\tINFO\tIMPUTED\tEFFECT_ALLELE\tNON_EFFECT_ALLELE\tEAF_ALL\tN\tBETA_SNP_M2\tSE_SNP_M2\tP_SNP_M2\tBETA_SNP_M1\tSE_SNP_M1_MB\tP_SNP_M1_MB\tSE_SNP_M1_ROBUST\tP_SNP_M1_ROBUST\tBETA_INT\tSE_INT_MB\tP_INT_MB\tSE_INT_ROBUST\tP_INT_ROBUST\tP_JOINT_MB\tCOV_SNP_INT_MB\tP_JOINT_ROBUST\tCOV_SNP_INT_ROBUST\n")
+            else:
+                outfile_handle.write(b"SNPID\tCHR\tPOS\tINFO\tIMPUTED\tEFFECT_ALLELE\tNON_EFFECT_ALLELE\tEAF_ALL\tEAF_E0\tEAF_E1\tN\tN_EXP\tBETA_SNP_M2\tSE_SNP_M2\tP_SNP_M2\tBETA_SNP_M1\tSE_SNP_M1_MB\tP_SNP_M1_MB\tSE_SNP_M1_ROBUST\tP_SNP_M1_ROBUST\tBETA_INT\tSE_INT_MB\tP_INT_MB\tSE_INT_ROBUST\tP_INT_ROBUST\tP_JOINT_MB\tCOV_SNP_INT_MB\tP_JOINT_ROBUST\tCOV_SNP_INT_ROBUST\n")
+  
         line_ct = 1
         while line1 and line2:
             line1 = infile1_handle.readline()
@@ -322,7 +344,11 @@
             else:
                 p_snp_m1_mb = "{:.6}".format(stats.chi2.sf((float(fields1[columns1["Beta_G"]])/float(fields1[columns1["SE_Beta_G"]]))**2, 1))
                 p_snp_m1_robust = "{:.6}".format(stats.chi2.sf((float(fields1[columns1["Beta_G"]])/float(fields1[columns1["robust_SE_Beta_G"]]))**2, 1))
-            outfile_handle.write(str.encode(fields1[columns1["SNPID"]]) + b"\t" + str.encode(fields1[columns1["CHR"]]) + b"\t" + str.encode(fields1[columns1["POS"]]) + b"\t" + str.encode(info[fields1[columns1["SNPID"]]]) + b"\t" + str.encode(imputed[fields1[columns1["SNPID"]]]) + b"\t" + str.encode(fields1[columns1["Effect_Allele"]]) + b"\t" + str.encode(fields1[columns1["Non_Effect_Allele"]]) + b"\t" + str.encode(fields1[columns1["AF"]]) + b"\t" + str.encode(fields1[columns1["AF_" + Ename + "_0"]]) + b"\t" + str.encode(fields1[columns1["AF_" + Ename + "_1"]]) + b"\t" + str.encode(fields1[columns1["N_Samples"]]) + b"\t" + str.encode(fields1[columns1["N_" + Ename + "_1"]]) + b"\t" + str.encode(fields2[columns2["Beta_Marginal"]]) + b"\t" + str.encode(fields2[columns2["SE_Beta_Marginal"]]) + b"\t" + str.encode(fields2[columns2["P_Value_Marginal"]]) + b"\t" + str.encode(fields1[columns1["Beta_G"]]) + b"\t" + str.encode(fields1[columns1["SE_Beta_G"]]) + b"\t" + str.encode(p_snp_m1_mb) + b"\t" + str.encode(fields1[columns1["robust_SE_Beta_G"]]) + b"\t" + str.encode(p_snp_m1_robust) + b"\t" + str.encode(fields1[columns1["Beta_G-" + Ename]]) + b"\t" + str.encode(fields1[columns1["SE_Beta_G-" + Ename]]) + b"\t" + str.encode(fields1[columns1["P_Value_Interaction"]]) + b"\t" + str.encode(fields1[columns1["robust_SE_Beta_G-" + Ename]]) + b"\t" + str.encode(fields1[columns1["robust_P_Value_Interaction"]]) + b"\t" + str.encode(fields1[columns1["P_Value_Joint"]]) + b"\t" + str.encode(fields1[columns1["Cov_Beta_G_G-" + Ename]]) + b"\t" + str.encode(fields1[columns1["robust_P_Value_Joint"]]) + b"\t" + str.encode(fields1[columns1["robust_Cov_Beta_G_G-" + Ename]]) + b"\n")
+            #outfile_handle.write(str.encode(fields1[columns1["SNPID"]]) + b"\t" + str.encode(fields1[columns1["CHR"]]) + b"\t" + str.encode(fields1[columns1["POS"]]) + b"\t" + str.encode(info[fields1[columns1["SNPID"]]]) + b"\t" + str.encode(imputed[fields1[columns1["SNPID"]]]) + b"\t" + str.encode(fields1[columns1["Effect_Allele"]]) + b"\t" + str.encode(fields1[columns1["Non_Effect_Allele"]]) + b"\t" + str.encode(fields1[columns1["AF"]]) + b"\t" + str.encode(fields1[columns1["AF_" + Ename + "_0"]]) + b"\t" + str.encode(fields1[columns1["AF_" + Ename + "_1"]]) + b"\t" + str.encode(fields1[columns1["N_Samples"]]) + b"\t" + str.encode(fields1[columns1["N_" + Ename + "_1"]]) + b"\t" + str.encode(fields2[columns2["Beta_Marginal"]]) + b"\t" + str.encode(fields2[columns2["SE_Beta_Marginal"]]) + b"\t" + str.encode(fields2[columns2["P_Value_Marginal"]]) + b"\t" + str.encode(fields1[columns1["Beta_G"]]) + b"\t" + str.encode(fields1[columns1["SE_Beta_G"]]) + b"\t" + str.encode(p_snp_m1_mb) + b"\t" + str.encode(fields1[columns1["robust_SE_Beta_G"]]) + b"\t" + str.encode(p_snp_m1_robust) + b"\t" + str.encode(fields1[columns1["Beta_G-" + Ename]]) + b"\t" + str.encode(fields1[columns1["SE_Beta_G-" + Ename]]) + b"\t" + str.encode(fields1[columns1["P_Value_Interaction"]]) + b"\t" + str.encode(fields1[columns1["robust_SE_Beta_G-" + Ename]]) + b"\t" + str.encode(fields1[columns1["robust_P_Value_Interaction"]]) + b"\t" + str.encode(fields1[columns1["P_Value_Joint"]]) + b"\t" + str.encode(fields1[columns1["Cov_Beta_G_G-" + Ename]]) + b"\t" + str.encode(fields1[columns1["robust_P_Value_Joint"]]) + b"\t" + str.encode(fields1[columns1["robust_Cov_Beta_G_G-" + Ename]]) + b"\n")
+            if quantE:
+                outfile_handle.write(str.encode(fields1[columns1["SNPID"]]) + b"\t" + str.encode(fields1[columns1["CHR"]]) + b"\t" + str.encode(fields1[columns1["POS"]]) + b"\t" + str.encode(info[fields1[columns1["SNPID"]]]) + b"\t" + str.encode(imputed[fields1[columns1["SNPID"]]]) + b"\t" + str.encode(fields1[columns1["Effect_Allele"]]) + b"\t" + str.encode(fields1[columns1["Non_Effect_Allele"]]) + b"\t" + str.encode(fields1[columns1["AF"]]) + b"\t"  + str.encode(fields1[columns1["N_Samples"]]) + b"\t"  + str.encode(fields2[columns2["Beta_Marginal"]]) + b"\t" + str.encode(fields2[columns2["SE_Beta_Marginal"]]) + b"\t" + str.encode(fields2[columns2["P_Value_Marginal"]]) + b"\t" + str.encode(fields1[columns1["Beta_G"]]) + b"\t" + str.encode(fields1[columns1["SE_Beta_G"]]) + b"\t" + str.encode(p_snp_m1_mb) + b"\t" + str.encode(fields1[columns1["robust_SE_Beta_G"]]) + b"\t" + str.encode(p_snp_m1_robust) + b"\t" + str.encode(fields1[columns1["Beta_G-" + Ename]]) + b"\t" + str.encode(fields1[columns1["SE_Beta_G-" + Ename]]) + b"\t" + str.encode(fields1[columns1["P_Value_Interaction"]]) + b"\t" + str.encode(fields1[columns1["robust_SE_Beta_G-" + Ename]]) + b"\t" + str.encode(fields1[columns1["robust_P_Value_Interaction"]]) + b"\t" + str.encode(fields1[columns1["P_Value_Joint"]]) + b"\t" + str.encode(fields1[columns1["Cov_Beta_G_G-" + Ename]]) + b"\t" + str.encode(fields1[columns1["robust_P_Value_Joint"]]) + b"\t" + str.encode(fields1[columns1["robust_Cov_Beta_G_G-" + Ename]]) + b"\n")
+            else:
+                outfile_handle.write(str.encode(fields1[columns1["SNPID"]]) + b"\t" + str.encode(fields1[columns1["CHR"]]) + b"\t" + str.encode(fields1[columns1["POS"]]) + b"\t" + str.encode(info[fields1[columns1["SNPID"]]]) + b"\t" + str.encode(imputed[fields1[columns1["SNPID"]]]) + b"\t" + str.encode(fields1[columns1["Effect_Allele"]]) + b"\t" + str.encode(fields1[columns1["Non_Effect_Allele"]]) + b"\t" + str.encode(fields1[columns1["AF"]]) + b"\t" + str.encode(fields1[columns1["AF_" + Ename + "_0"]]) + b"\t" + str.encode(fields1[columns1["AF_" + Ename + "_1"]]) + b"\t" + str.encode(fields1[columns1["N_Samples"]]) + b"\t" + str.encode(fields1[columns1["N_" + Ename + "_1"]]) + b"\t" + str.encode(fields2[columns2["Beta_Marginal"]]) + b"\t" + str.encode(fields2[columns2["SE_Beta_Marginal"]]) + b"\t" + str.encode(fields2[columns2["P_Value_Marginal"]]) + b"\t" + str.encode(fields1[columns1["Beta_G"]]) + b"\t" + str.encode(fields1[columns1["SE_Beta_G"]]) + b"\t" + str.encode(p_snp_m1_mb) + b"\t" + str.encode(fields1[columns1["robust_SE_Beta_G"]]) + b"\t" + str.encode(p_snp_m1_robust) + b"\t" + str.encode(fields1[columns1["Beta_G-" + Ename]]) + b"\t" + str.encode(fields1[columns1["SE_Beta_G-" + Ename]]) + b"\t" + str.encode(fields1[columns1["P_Value_Interaction"]]) + b"\t" + str.encode(fields1[columns1["robust_SE_Beta_G-" + Ename]]) + b"\t" + str.encode(fields1[columns1["robust_P_Value_Interaction"]]) + b"\t" + str.encode(fields1[columns1["P_Value_Joint"]]) + b"\t" + str.encode(fields1[columns1["Cov_Beta_G_G-" + Ename]]) + b"\t" + str.encode(fields1[columns1["robust_P_Value_Joint"]]) + b"\t" + str.encode(fields1[columns1["robust_Cov_Beta_G_G-" + Ename]]) + b"\n")
         infile1_handle.close()
         infile2_handle.close()