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Classical methods for combining summary data from genome-wide association studies (GWAS) only use marginal genetic effects and power can be compromised in the presence of heterogeneity.
subgxe is an R package that implements p-value Assisted
Subset Testing for Association, a method that generalizes the previously
proposed association analysis based on subsets (ASSET) method by
incorporating gene-environment (G-E) interactions into the testing
procedure.
library(devtools)
install_github("umich-cphds/subgxe", build_opt = c("--no-resave-data", "--no-manual"))load up R and type
library(subgxe)
vignette("subgxe")for a tutorial.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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