MPGE                    MPGE: an R package to implement a two-step
                        approach to testing overall effect of
                        gene-environment interaction for multiple
                        phenotypes.
SST                     Subset multiple hypothesis testing procedure to
                        combine two steps of testing gene-environment
                        interaction in a two-step procedure.
WHT                     Weighted multiple hypothesis testing procedure
                        to combine two steps of testing
                        gene-environment interaction in a two-step
                        procedure.
environment_data        An example of data of the environmental
                        variable (e.g., smoking status). Here,
                        environment_data is a data frame with single
                        column for the environmental variable. The
                        order of the 500 individuals in the row must be
                        the same as provided in the phenotype and
                        genotype data. Here, the environmental variable
                        has two categories which were coded as 1 and 0
                        (e.g., smokers and non-smokers). Instead of
                        numeric values, these can also be considered to
                        be factors in the absence of a defined order in
                        the categories.
genotype_data           An example of genotype data for two genetic
                        variants (SNPs). Here, genotype_data is a
                        data.frame with the columns as SNPs (e.g., rs1
                        and rs2 here). The rows correspond to the 500
                        individuals in the same order as in the
                        phenotype data.
mv_G_GE                 Test for marginal overall genetic association
                        with multivariate phenotype, and test for
                        overall GxE effect on the multivariate
                        phenotype in presence of marginal effect due to
                        the genetic variant and a marginal effect due
                        to the environmental variable.
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.
phenotype_data          An example of phenotype data.
