作者
Ying Wang, Masahiro Kanai, Taotao Tan, Mireille Kamariza, Kristin Tsuo, Kai Yuan, Wei Zhou, Yukinori Okada, Hailiang Huang, Patrick Turley, Elizabeth G Atkinson, Alicia R Martin
发表日期
2023/10/11
期刊
Cell Genomics
卷号
3
期号
10
出版商
Elsevier
简介
Polygenic risk scores (PRSs) developed from multi-ancestry genome-wide association studies (GWASs), PRSmulti, hold promise for improving PRS accuracy and generalizability across populations. To establish best practices for leveraging the increasing diversity of genomic studies, we investigated how various factors affect the performance of PRSmulti compared with PRSs constructed from single-ancestry GWASs (PRSsingle). Through extensive simulations and empirical analyses, we showed that PRSmulti overall outperformed PRSsingle in understudied populations, except when the understudied population represented a small proportion of the multi-ancestry GWAS. Furthermore, integrating PRSs based on local ancestry-informed GWASs and large-scale, European-based PRSs improved predictive performance in understudied African populations, especially for less polygenic traits with large-effect ancestry …
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