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GxEprs
View on CRAN: Click
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Download and install GxEprs package within the R console
Install from CRAN:
install.packages("GxEprs")
Install from Github:
library("remotes")
install_github("cran/GxEprs")
Install by package version:
library("remotes")
install_version("GxEprs", "1.1")
Attach the package and use:
library("GxEprs")
Maintained by
Dovini Jayasinghe
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-08-25
Latest Update: 2023-10-03
Description:
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) , (Pandis et al., 2013) , (Peyrot et al., 2018) and (Song et al., 2022) , as well as newly proposed models for genomic risk prediction (refer to the URL for more details).
How to cite:
Dovini Jayasinghe (2023). GxEprs: Genotype-by-Environment Interaction in Polygenic Score Models. R package version 1.1, https://cran.r-project.org/web/packages/GxEprs
Previous versions and publish date:
1.0 (2023-08-25 19:20)
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