Improving polygenic risk prediction in admixed populations by explicitly modeling ancestral-differential effects via GAUDI.

ABSTRACT: Polygenic risk scores (PRS) have shown successes in clinics, but most PRS methods focus only on participants with distinct primary continental ancestry without accommodating recently-admixed individuals with mosaic continental ancestry backgrounds for different segments of their genomes. Here, we develop GAUDI, a novel penalized-regression-based method specifically designed for admixed individuals. GAUDI explicitly models ancestry-differential effects while borrowing information across segments with shared ancestry in admixed genomes. We demonstrate marked advantages of GAUDI over other methods through comprehensive simulation and real data analyses for traits with associated variants exhibiting ancestral-differential effects. Leveraging data from the Women's Health Initiative study, we sh

SUBMITTER: Sun Q 

PROVIDER: S-EPMC10838303 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature