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).

Getting started

Package details

AuthorDovini Jayasinghe [aut, cre, cph], Hong Lee [aut, cph], Moksedul Momin [aut, cph]
MaintainerDovini Jayasinghe <dovini.jayasinghe@mymail.unisa.edu.au>
LicenseGPL (>= 3)
Version1.2
URL https://github.com/DoviniJ/GxEprs
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("GxEprs")

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GxEprs documentation built on June 22, 2024, 10:44 a.m.