Genetic distance informs polygenic score predictive accuracy

Genevieve L Wojcik

doi:10.1016/j.tig.2023.07.002

Genetic distance informs polygenic score predictive accuracy

Trends Genet. 2023 Nov;39(11):813-815. doi: 10.1016/j.tig.2023.07.002. Epub 2023 Jul 29.

Author

Genevieve L Wojcik¹

Affiliation

¹ Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. Electronic address: gwojcik1@jhu.edu.

PMID: 37524625
PMCID: PMC10592326 (available on 2024-11-01)
DOI: 10.1016/j.tig.2023.07.002

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.

Keywords: genetic diversity; health equity; polygenic scores; population definitions.

Grants and funding

R35 HG011944/HG/NHGRI NIH HHS/United States