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 umich.edu>
BugReports: https://github.com/umich-cphds/subgxe/issues
License: GPL-3
URL: https://github.com/umich-cphds/subgxe
NeedsCompilation: no
Materials: README NEWS
CRAN checks: subgxe results

Downloads:

Reference manual: subgxe.pdf
Vignettes: Getting started with subgxe
Package source: subgxe_0.9.0.tar.gz
Windows binaries: r-devel: subgxe_0.9.0.zip, r-devel-gcc8: subgxe_0.9.0.zip, r-release: subgxe_0.9.0.zip, r-oldrel: subgxe_0.9.0.zip
OS X binaries: r-release: subgxe_0.9.0.tgz, r-oldrel: subgxe_0.9.0.tgz

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