GxEprs: Genotype-by-Environment Interaction in Polygenic Score Models

A novel PRS model is introduced to enhance the prediction accuracy by utilising GxE effects. This package performs Genome Wide Association Studies (GWAS) and Genome Wide Environment Interaction Studies (GWEIS) using a discovery dataset. The package has the ability to obtain polygenic risk scores (PRSs) for a target sample. Finally it predicts the risk values of each individual in the target sample. Users have the choice of using existing models (Li et al., 2015) <doi:10.1093/annonc/mdu565>, (Pandis et al., 2013) <doi:10.1093/ejo/cjt054>, (Peyrot et al., 2018) <doi:10.1016/j.biopsych.2017.09.009> and (Song et al., 2022) <doi:10.1038/s41467-022-32407-9>, as well as newly proposed models for genomic risk prediction (refer to the URL for more details).

Version: 1.1
Depends: R (≥ 2.10)
Published: 2023-10-03
Author: Dovini Jayasinghe [aut, cre, cph], Hong Lee [aut, cph], Moksedul Momin [aut, cph]
Maintainer: Dovini Jayasinghe <dovini.jayasinghe at mymail.unisa.edu.au>
License: GPL (≥ 3)
URL: https://github.com/DoviniJ/GxEprs
NeedsCompilation: no
CRAN checks: GxEprs results

Documentation:

Reference manual: GxEprs.pdf

Downloads:

Package source: GxEprs_1.1.tar.gz
Windows binaries: r-devel: GxEprs_1.1.zip, r-release: GxEprs_1.1.zip, r-oldrel: GxEprs_1.1.zip
macOS binaries: r-release (arm64): GxEprs_1.1.tgz, r-oldrel (arm64): GxEprs_1.1.tgz, r-release (x86_64): GxEprs_1.1.tgz
Old sources: GxEprs archive

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