Incorporating family history of disease improves polygenic risk scores in diverse populations.

ABSTRACT: Polygenic risk scores (PRSs) derived from genotype data and family history (FH) of disease provide valuable information for predicting disease risk, but PRSs perform poorly when applied to diverse populations. Here, we explore methods for combining both types of information (PRS-FH) in UK Biobank data. PRSs were trained using all British individuals (n = 409,000), and target samples consisted of unrelated non-British Europeans (n = 42,000), South Asians (n = 7,000), or Africans (n = 7,000). We evaluated PRS, FH, and PRS-FH using liability-scale R ², primarily focusing on 3 well-powered diseases (type 2 diabetes, hypertension, and depression). PRS attained average prediction R ²s of 5.8%, 4.0%, and 0.53% in non-British Europeans, South Asians, and African

SUBMITTER: Hujoel MLA 

PROVIDER: S-EPMC9351615 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature