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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. 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.
A polygenic score for reduced kidney function and adverse outcomes in a cohort with chronic kidney disease.
Steinbrenner I, Yu Z, Jin J, Schultheiss UT, Kotsis F, Grams ME, Coresh J, Wuttke M; GCKD Investigators; Kronenberg F, Eckardt KU, Chatterjee N, Sekula P, Köttgen A. Steinbrenner I, et al. Among authors: jin j. Kidney Int. 2023 Feb;103(2):421-424. doi: 10.1016/j.kint.2022.11.013. Epub 2022 Dec 5. Kidney Int. 2023. PMID: 36481179 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: jin j. 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.
Admix-kit: an integrated toolkit and pipeline for genetic analyses of admixed populations.
Hou K, Gogarten S, Kim J, Hua X, Dias JA, Sun Q, Wang Y, Tan T; Polygenic Risk Methods in Diverse Populations (PRIMED) Consortium Methods Working Group; Atkinson EG, Martin A, Shortt J, Hirbo J, Li Y, Pasaniuc B, Zhang H. Hou K, et al. Bioinformatics. 2024 Mar 29;40(4):btae148. doi: 10.1093/bioinformatics/btae148. Bioinformatics. 2024. PMID: 38490256 Free PMC article.
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