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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. Among authors: zhang j, zhang h. Cell Genom. 2024 Apr 10;4(4):100539. doi: 10.1016/j.xgen.2024.100539. Cell Genom. 2024. PMID: 38604127 Free PMC article.
Assessment of polygenic architecture and risk prediction based on common variants across fourteen cancers.
Zhang YD, Hurson AN, Zhang H, Choudhury PP, Easton DF, Milne RL, Simard J, Hall P, Michailidou K, Dennis J, Schmidt MK, Chang-Claude J, Gharahkhani P, Whiteman D, Campbell PT, Hoffmeister M, Jenkins M, Peters U, Hsu L, Gruber SB, Casey G, Schmit SL, O'Mara TA, Spurdle AB, Thompson DJ, Tomlinson I, De Vivo I, Landi MT, Law MH, Iles MM, Demenais F, Kumar R, MacGregor S, Bishop DT, Ward SV, Bondy ML, Houlston R, Wiencke JK, Melin B, Barnholtz-Sloan J, Kinnersley B, Wrensch MR, Amos CI, Hung RJ, Brennan P, McKay J, Caporaso NE, Berndt SI, Birmann BM, Camp NJ, Kraft P, Rothman N, Slager SL, Berchuck A, Pharoah PDP, Sellers TA, Gayther SA, Pearce CL, Goode EL, Schildkraut JM, Moysich KB, Amundadottir LT, Jacobs EJ, Klein AP, Petersen GM, Risch HA, Stolzenberg-Solomon RZ, Wolpin BM, Li D, Eeles RA, Haiman CA, Kote-Jarai Z, Schumacher FR, Al Olama AA, Purdue MP, Scelo G, Dalgaard MD, Greene MH, Grotmol T, Kanetsky PA, McGlynn KA, Nathanson KL, Turnbull C, Wiklund F; Breast Cancer Association Consortium (BCAC); Barrett’s and Esophageal Adenocarcinoma Consortium (BEACON); Colon Cancer Family Registry (CCFR); Transdisciplinary Studies of Genetic Variation in Colorectal Cancer (… See abstract for full author list ➔ Zhang YD, et al. Among authors: zhang h. Nat Commun. 2020 Jul 3;11(1):3353. doi: 10.1038/s41467-020-16483-3. Nat Commun. 2020. PMID: 32620889 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: zhang h. 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.
The sequence kernel association test for multicategorical outcomes.
Jiang Z, Zhang H, Ahearn TU, Garcia-Closas M, Chatterjee N, Zhu H, Zhan X, Zhao N. Jiang Z, et al. Among authors: zhang h. Genet Epidemiol. 2023 Sep;47(6):432-449. doi: 10.1002/gepi.22527. Epub 2023 Apr 19. Genet Epidemiol. 2023. PMID: 37078108
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: zhang j, zhang h. 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.
Principles and methods for transferring polygenic risk scores across global populations.
Kachuri L, Chatterjee N, Hirbo J, Schaid DJ, Martin I, Kullo IJ, Kenny EE, Pasaniuc B; Polygenic Risk Methods in Diverse Populations (PRIMED) Consortium Methods Working Group; Witte JS, Ge T. Kachuri L, et al. Nat Rev Genet. 2024 Jan;25(1):8-25. doi: 10.1038/s41576-023-00637-2. Epub 2023 Aug 24. Nat Rev Genet. 2024. PMID: 37620596 Free PMC article. Review.
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: zhang j. 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.
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. Among authors: zhang h. Bioinformatics. 2024 Mar 29;40(4):btae148. doi: 10.1093/bioinformatics/btae148. Bioinformatics. 2024. PMID: 38490256 Free PMC article.
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