IPRS: Leveraging Gene-Environment Interaction to Reconstruct Polygenic Risk Score.

ABSTRACT: Background: Polygenic risk score (PRS) is widely regarded as a predictor of genetic susceptibility to disease, applied to individuals to predict the risk of disease occurrence. When the gene-environment (G×E) interaction is considered, the traditional PRS prediction model directly uses PRS to interact with the environment without considering the interactions between each variant and environment, which may lead to prediction performance and risk stratification of complex diseases are not promising. Methods: We developed a method called interaction PRS (iPRS), reconstructing PRS by leveraging G×E interactions. Two extensive simulations evaluated prediction performance, risk stratification, and calibration performance of the iPRS prediction model, and compared it with the tradit

SUBMITTER: Tang Y 

PROVIDER: S-EPMC8989431 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature