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, 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).
- Version1.2
- R version≥ 2.10
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release05/29/2024
Team
Dovini Jayasinghe
Moksedul Momin
Show author detailsRolesAuthor, Copyright holderHong Lee
Show author detailsRolesAuthor, Copyright holder
Insights
Last 30 days
This package has been downloaded 492 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 9 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 6,398 times in the last 365 days. That's a lot of interest! Someone might even write a blog post about it. The day with the most downloads was Jun 01, 2024 with 66 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN