Wojcik GL. Genetic distance informs polygenic score predictive accuracy.
Trends Genet 2023;
39:813-815. [PMID:
37524625 PMCID:
PMC10592326 DOI:
10.1016/j.tig.2023.07.002]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Accepted: 07/10/2023] [Indexed: 08/02/2023]
Abstract
Polygenic scores (PGSs) aggregate the effects of variants across the genome to estimate genetic liability, but have lower performance in external study populations. A new study by Ding et al. has applied a novel framework to estimate the individual-level predictive accuracy of PGSs, and demonstrates that performance reduction occurs linearly with genetic distance.
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