diff --git a/doc/source/index.rst b/doc/source/index.rst
index 85f30e71d7ac6c4c18ff7378c1e28a7640b5e45d..a13ff110ae135fe107ea73948474cc9cd68275fb 100644
--- a/doc/source/index.rst
+++ b/doc/source/index.rst
@@ -10,6 +10,8 @@ Welcome to jass_preprocessing's documentation!
    :maxdepth: 2
    :caption: Contents:
 
+   index
+
 What is jass preprocessing ?
 ============================
 Jass preprocessing is a tool that takes in input
@@ -97,11 +99,15 @@ Input
 Note that the combination of Consortium and outcome must be unique because it will be used as an index in the cleaning process.
 
 Here is an example of descriptor field, the field irrelevant (for example odd ratio for continuous trait) for the study must be filled with na.
-Some fields are optional like the imputation_quality. If not used they can be filled with na. 
-.. csv-table:: GWAS information table!
+Some fields are optional like the imputation_quality. If not used they can be filled with na.
+
+.. csv-table:: GWAS information table
+  :header-rows: 1
+
+  "filename","consortia","outcome","fullName","type","Nsample","Ncase","Ncontrol","Nsnp","snpid","a1","a2","freq","pval","n","z","OR","se","code","imp","ncas","ncont","imputation_quality","index_type"
+  "GIANT_HEIGHT_Wood_et_al.txt","GIANT","HEIGHT","Height","Anthropometry",253288,	na,	na, 2550858,	"MarkerName",	"Allele1", "Allele2", "Freq.Allele1.HapMapCEU","p","N","b",na,"SE",na,na,na,na, "imputationInfo","rs-number"
+
 
-   :header: "filename","consortia","outcome","fullName","type","Nsample","Ncase","Ncontrol","Nsnp","snpid","a1","a2","freq","pval","n","z","OR","se","code","imp","ncas","ncont","imputation_quality"
-   "GIANT_HEIGHT_Wood_et_al.txt","GIANT","HEIGHT","Height","Anthropometry",253288,	na,	na, 2550858,	"MarkerName",	"Allele1", "Allele2", "Freq.Allele1.HapMapCEU","p","N","b",na,"SE",na,na,na,na, "imputationInfo"
 
 
 Command line usage example: