This is a PLINK file, with columns separated by spaces and a header line. It contains one line per sample with V+6 fields, where V is the number of variants.
This is a PLINK file, with columns separated by spaces and a header line. It contains one line per sample with V+6 fields, where V is the number of variants.
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@@ -26,8 +26,8 @@ FID | IID | PAT | MAT | SEX | PHENOTYPE | SNP1 | SNP2 | SNP3 | ..........
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@@ -26,8 +26,8 @@ FID | IID | PAT | MAT | SEX | PHENOTYPE | SNP1 | SNP2 | SNP3 | ..........
This is a text file, with columns separated by tabulations and a header line. In contains one line per individual. First column must be the individual ID.
This is a text file, with columns separated by tabulations and a header line. In contains one line per individual. First column must be the individual ID.
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@@ -39,8 +39,8 @@ ID | Sex | Age | LDL-C | HDL-C | HDL-D | HDL-TG | ..........
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@@ -39,8 +39,8 @@ ID | Sex | Age | LDL-C | HDL-C | HDL-D | HDL-TG | ..........
This is a csv file with columns separated by commas and a header line. This file aims at describing the role of each variable contained in the phenotypes file. For each selected variable, the user must provide a label and a binary indicator for classification as confounding factors (i.e. variables systematically included as covariates), outcome (i.e. each single variable that will be treated as a primary outcome) and candidate covariates (i.e. variables that will be assessed by CMS for inclusion as a covariate).
This is a csv file with columns separated by commas and a header line. This file aims at describing the role of each variable contained in the phenotypes file. For each selected variable, the user must provide a label and a binary indicator for classification as confounding factors (i.e. variables systematically included as covariates), outcome (i.e. each single variable that will be treated as a primary outcome) and candidate covariates (i.e. variables that will be assessed by CMS for inclusion as a covariate).