subgxe: 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.

Version: 0.9.0
Suggests: lmtest, knitr, rmarkdown
Published: 2019-06-14
Author: Youfei Yu [aut], Alexander Rix [cre]
Maintainer: Alexander Rix <alexrix at>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: subgxe results


Reference manual: subgxe.pdf
Vignettes: Getting started with subgxe
Package source: subgxe_0.9.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): subgxe_0.9.0.tgz, r-release (x86_64): subgxe_0.9.0.tgz, r-oldrel: subgxe_0.9.0.tgz


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