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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).

Versions across snapshots

VersionRepositoryFileSize
1.2 rolling source/ R- GxEprs_1.2.tar.gz 685.0 KiB
1.2 rolling linux/jammy R-4.5 GxEprs_1.2.tar.gz 1005.7 KiB
1.2 rolling linux/noble R-4.5 GxEprs_1.2.tar.gz 1006.2 KiB
1.2 latest source/ R- GxEprs_1.2.tar.gz 685.0 KiB
1.2 latest linux/jammy R-4.5 GxEprs_1.2.tar.gz 1005.7 KiB
1.2 latest linux/noble R-4.5 GxEprs_1.2.tar.gz 1006.2 KiB
1.2 2026-04-23 source/ R- GxEprs_1.2.tar.gz 685.0 KiB
1.2 2026-04-09 windows/windows R-4.5 GxEprs_1.2.zip 1002.0 KiB
1.2 2025-04-20 source/ R- GxEprs_1.2.tar.gz 685.0 KiB