Genotype-by-Environment Interaction in Polygenic Score Models R package GxEprs version 1.3 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). Software Depends: R (>= 3.5) Dovini Jayasinghe <dovini.jayasinghe@mymail.unisa.edu.au> Comprehensive R Archive Network (CRAN) Dovini Jayasinghe [aut, cre, cph], Hong Lee [aut, cph], Moksedul Momin [aut, cph] GPL (>= 3) 2026-05-29 application/tgz https://CRAN.R-project.org/package=GxEprs doi:10.32614/CRAN.package.GxEprs