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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 |
| Reference manual: | GxEprs.pdf |
| 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, r-oldrel (x86_64): GxEprs_1.1.tgz |
| Old sources: | GxEprs archive |
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These binaries (installable software) and packages are in development.
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