MPGE (version 1.0.0)

mv_G_GxE_pvalues: An example of step 1 (marginal genetic association) and step 2 (GxE interaction) p-values across genetic variants (SNPs). Here, mv_G_GxE_pvalues is a data.frame with three columns. First column lists the set of 1000 genetic variants. Second column provides the vector of p-values obtained from testing the marginal multivariate genetic association for these SNPs. And the third column provides the vector of p-values obtained from testing the overall GxE effect in presence of possible marginal genetic effect and marginal environmental effect.

Description

An example of step 1 (marginal genetic association) and step 2 (GxE interaction) p-values across genetic variants (SNPs). Here, mv_G_GxE_pvalues is a data.frame with three columns. First column lists the set of 1000 genetic variants. Second column provides the vector of p-values obtained from testing the marginal multivariate genetic association for these SNPs. And the third column provides the vector of p-values obtained from testing the overall GxE effect in presence of possible marginal genetic effect and marginal environmental effect.

Usage

data(mv_G_GxE_pvalues)

Format

A data.frame with three columns. First column lists the set of 1000 genetic variants. Second column provides the vector of p-values obtained from testing the marginal multivariate genetic association for these SNPs. And the third column provides the vector of p-values obtained from testing the overall GxE effect in presence of possible marginal genetic effect and marginal environmental effect:

Examples

# NOT RUN {
data(mv_G_GxE_pvalues)
geno <- mv_G_GxE_pvalues
# }