Genome-wide Polygenic Risk Scores Predict Risk of Glioma and Molecular Subtypes.

ABSTRACT:

Background

Polygenic risk scores (PRS) aggregate the contribution of many risk variants to provide a personalized genetic susceptibility profile. Since sample sizes of glioma genome-wide association studies (GWAS) remain modest, there is a need to find efficient ways of capturing genetic risk factors using available germline data.

Methods

We developed a novel PRS (PRS-CS) that uses continuous shrinkage priors to model the joint effects of over 1 million polymorphisms on disease risk and compared it to an approach (PRS-CT) that selects a limited set of independent variants that reach genome-wide significance (P<5×10^-8). PRS models were trained using GWAS results stratified by histological (10,346 cases, 14,687 controls) and molecular subtype (2,632 cases, 2,445 con

SUBMITTER: Nakase T 

PROVIDER: S-EPMC10802631 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature