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

Documentation:

Reference manual:	subgxe.pdf
Vignettes:	Getting started with subgxe

Downloads:

Package source:	subgxe_0.9.0.tar.gz
Windows binaries:	r-devel: subgxe_0.9.0.zip, r-release: subgxe_0.9.0.zip, r-oldrel: subgxe_0.9.0.zip
macOS binaries:	r-release (arm64): subgxe_0.9.0.tgz, r-oldrel (arm64): subgxe_0.9.0.tgz, r-release (x86_64): subgxe_0.9.0.tgz, r-oldrel (x86_64): subgxe_0.9.0.tgz

Linking:

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