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 |
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