GRSxE: Testing Gene-Environment Interactions Through Genetic Risk Scores

Statistical testing procedures for detecting GxE (gene-environment) interactions. The main focus lies on GRSxE interaction tests that aim at detecting GxE interactions through GRS (genetic risk scores). Moreover, a novel testing procedure based on bagging and OOB (out-of-bag) predictions is implemented for incorporating all available observations at both GRS construction and GxE testing (Lau et al., 2023, <doi:10.1038/s41598-023-28172-4>).

Version: 1.0.1
Imports: glmnet, ranger, stats, utils
Published: 2023-10-30
Author: Michael Lau ORCID iD [aut, cre]
Maintainer: Michael Lau <michael.lau at hhu.de>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: GRSxE results

Documentation:

Reference manual: GRSxE.pdf

Downloads:

Package source: GRSxE_1.0.1.tar.gz
Windows binaries: r-devel: GRSxE_1.0.1.zip, r-release: GRSxE_1.0.1.zip, r-oldrel: GRSxE_1.0.1.zip
macOS binaries: r-release (arm64): GRSxE_1.0.1.tgz, r-oldrel (arm64): GRSxE_1.0.1.tgz, r-release (x86_64): GRSxE_1.0.1.tgz
Old sources: GRSxE archive

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