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Borrowing the idea of transfer learning, which enables the utilization of knowledge acquired from auxiliary samples to enhance learning capability in target samples, we propose transPGS, a novel polygenic score method, for genetic prediction in underrepresented populations by leveraging genetic similarity shared between the European and non-European populations while explaining the trans-ethnic difference in linkage disequilibrium (LD) and effect sizes. We demonstrate the usefulness and robustness of transPGS in elevated prediction accuracy via individual-level and summary-level simulations and apply it to seven continuous phenotypes and three diseases in the African, Chinese, and East Asian populations of the UK Biobank and Genetic Epidemiology Research Study on Adult Health and Aging cohorts. We further reveal that distinct LD and minor allele frequency patterns across ancestral groups are responsible for the dissatisfactory portability of PGS.<\/jats:p>","DOI":"10.1093\/bib\/bbaf048","type":"journal-article","created":{"date-parts":[[2025,2,5]],"date-time":"2025-02-05T06:34:06Z","timestamp":1738737246000},"source":"Crossref","is-referenced-by-count":3,"title":["Polygenic prediction for underrepresented populations through transfer learning by utilizing genetic similarity shared with European populations"],"prefix":"10.1093","volume":"26","author":[{"given":"Yiyang","family":"Zhu","sequence":"first","affiliation":[{"name":"Department of Biostatistics, School of Public Health, Xuzhou Medical University , Xuzhou, Jiangsu , 221004,","place":["China"]}]},{"given":"Wenying","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, School of Public Health, Xuzhou Medical University , Xuzhou, Jiangsu , 221004,","place":["China"]}]},{"given":"Kexuan","family":"Zhu","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, School of Public Health, Xuzhou Medical University , Xuzhou, Jiangsu , 221004,","place":["China"]}]},{"given":"Yuxin","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, School of Public Health, Xuzhou Medical University , Xuzhou, Jiangsu , 221004,","place":["China"]}]},{"given":"Shuiping","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, School of Public Health, Xuzhou Medical University , Xuzhou, Jiangsu , 221004,","place":["China"]},{"name":"Jiangsu Engineering Research Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University , Xuzhou, Jiangsu , 221004,","place":["China"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2710-3440","authenticated-orcid":false,"given":"Ping","family":"Zeng","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, School of Public Health, Xuzhou Medical University , Xuzhou, Jiangsu , 221004,","place":["China"]},{"name":"Jiangsu Engineering Research Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University , Xuzhou, Jiangsu , 221004,","place":["China"]}]}],"member":"286","published-online":{"date-parts":[[2025,2,5]]},"reference":[{"key":"2025020506335848500_ref1","doi-asserted-by":"publisher","first-page":"5900","DOI":"10.1038\/s41467-020-19653-5","article-title":"15 years of genome-wide association studies and no signs of slowing down","volume":"11","author":"Loos","year":"2020","journal-title":"Nat Commun"},{"key":"2025020506335848500_ref2","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1038\/s41576-019-0127-1","article-title":"Benefits 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