Incorporating functional annotation with bilevel continuous shrinkage for polygenic risk prediction.

ABSTRACT:

Background

Genetic variants can contribute differently to trait heritability by their functional categories, and recent studies have shown that incorporating functional annotation can improve the predictive performance of polygenic risk scores (PRSs). In addition, when only a small proportion of variants are causal variants, PRS methods that employ a Bayesian framework with shrinkage can account for such sparsity. It is possible that the annotation group level effect is also sparse. However, the number of PRS methods that incorporate both annotation information and shrinkage on effect sizes is limited. We propose a PRS method, PRSbils, which utilizes the functional annotation information with a bilevel continuous shrinkage prior to accommodate the varying genetic architectures both

SUBMITTER: Zhuang Y 

PROVIDER: S-EPMC11323637 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature