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A new method for multiancestry polygenic prediction improves performance across diverse populations.
Zhang H, Zhan J, Jin J, Zhang J, Lu W, Zhao R, Ahearn TU, Yu Z, O'Connell J, Jiang Y, Chen T, Okuhara D; 23andMe Research Team; Garcia-Closas M, Lin X, Koelsch BL, Chatterjee N. Zhang H, et al. Among authors: koelsch bl. Nat Genet. 2023 Oct;55(10):1757-1768. doi: 10.1038/s41588-023-01501-z. Epub 2023 Sep 25. Nat Genet. 2023. PMID: 37749244 Free PMC article.
A Polygenic Score for Type 2 Diabetes Improves Risk Stratification Beyond Current Clinical Screening Factors in an Ancestrally Diverse Sample.
Ashenhurst JR, Sazonova OV, Svrchek O, Detweiler S, Kita R, Babalola L, McIntyre M, Aslibekyan S, Fontanillas P, Shringarpure S; 23andMe Research Team; Pollard JD, Koelsch BL. Ashenhurst JR, et al. Among authors: koelsch bl. Front Genet. 2022 Apr 26;13:871260. doi: 10.3389/fgene.2022.871260. eCollection 2022. Front Genet. 2022. PMID: 35559025 Free PMC article.
An Ensemble Penalized Regression Method for Multi-ancestry Polygenic Risk Prediction.
Zhang J, Zhan J, Jin J, Ma C, Zhao R, O'Connell J, Jiang Y; 23andMe Research Team; Koelsch BL, Zhang H, Chatterjee N. Zhang J, et al. Among authors: koelsch bl. bioRxiv [Preprint]. 2024 Apr 10:2023.03.15.532652. doi: 10.1101/2023.03.15.532652. bioRxiv. 2024. PMID: 36993331 Free PMC article. Updated. Preprint.
MUSSEL: Enhanced Bayesian Polygenic Risk Prediction Leveraging Information across Multiple Ancestry Groups.
Jin J, Zhan J, Zhang J, Zhao R, O'Connell J, Jiang Y; 23andMe Research Team; Buyske S, Gignoux C, Haiman C, Kenny EE, Kooperberg C, North K, Koelsch BL, Wojcik G, Zhang H, Chatterjee N. Jin J, et al. Among authors: koelsch bl. bioRxiv [Preprint]. 2023 Sep 21:2023.04.12.536510. doi: 10.1101/2023.04.12.536510. bioRxiv. 2023. PMID: 37090648 Free PMC article. Updated. Preprint.
15 results