Genotype-by-Environment Interaction in Polygenic Score Models
GWAS_binary function This function performs GWAS using plink2 and outp...
GWAS_quantitative function This function performs GWAS using plink2 an...
GWEIS_binary function This function performs GWEIS using plink2 and ou...
summary_regular_binary function This function outputs the summary of r...
summary_regular_quantitative function This function outputs the summar...
GWEIS_quantitative function This function performs GWEIS using plink2 ...
PRS_binary function This function uses plink2 and outputs Polygenic Ri...
PRS_quantitative function This function uses plink2 and outputs Polyge...
summary_permuted_binary function This function outputs the p value of ...
summary_permuted_quantitative function This function outputs the p val...
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).