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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
DOI: 10.32614/CRAN.package.subgxe
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:

Please use the canonical form https://CRAN.R-project.org/package=subgxe to link to this page.

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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