umich-cphds/pASTA: Combine Multiple GWAS by Using Gene-Environment Interactions

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 a R package that implements p-value assisted subset testing for association (pASTA), a method developed by Yu et al (2019) <doi:10.1159/000496867>. pASTA generalizes association analysis based on subsets by incorporating gene-environment interactions into the testing procedure.

Getting started

Package details

Maintainer
LicenseGPL-3
Version0.9.1
URL https://github.com/umich-cphds/subgxe
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("umich-cphds/pASTA")
umich-cphds/pASTA documentation built on Aug. 16, 2019, 4:38 a.m.