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Refining breast cancer genetic risk and biology through multi-ancestry fine-mapping analyses of 192 risk regions.
Jia G, Chen Z, Ping J, Cai Q, Tao R, Li C, Bauer JA, Xie Y, Ambs S, Barnard ME, Chen Y, Choi JY, Gao YT, Garcia-Closas M, Gu J, Hu JJ, Iwasaki M, John EM, Kweon SS, Li CI, Matsuda K, Matsuo K, Nathanson KL, Nemesure B, Olopade OI, Pal T, Park SK, Park B, Press MF, Sanderson M, Sandler DP, Shen CY, Troester MA, Yao S, Zheng Y, Ahearn T, Brewster AM, Falusi A, Hennis AJM, Ito H, Kubo M, Lee ES, Makumbi T, Ndom P, Noh DY, O'Brien KM, Ojengbede O, Olshan AF, Park MH, Reid S, Yamaji T, Zirpoli G, Butler EN, Huang M, Low SK, Obafunwa J, Weinberg CR, Zhang H, Zhao H, Cote ML, Ambrosone CB, Huo D, Li B, Kang D, Palmer JR, Shu XO, Haiman CA, Guo X, Long J, Zheng W. Jia G, et al. Among authors: zhang h. Nat Genet. 2025 Jan 3. doi: 10.1038/s41588-024-02031-y. Online ahead of print. Nat Genet. 2025. PMID: 39753771
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. Update in: Nat Commun. 2024 Apr 15;15(1):3238. doi: 10.1038/s41467-024-47357-7 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: zhang j, zhang h. bioRxiv [Preprint]. 2023 Sep 21:2023.04.12.536510. doi: 10.1101/2023.04.12.536510. bioRxiv. 2023. Update in: Cell Genom. 2024 Apr 10;4(4):100539. doi: 10.1016/j.xgen.2024.100539 PMID: 37090648 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. Among authors: zhang h. bioRxiv [Preprint]. 2023 Oct 2:2023.09.30.560263. doi: 10.1101/2023.09.30.560263. bioRxiv. 2023. Update in: Bioinformatics. 2024 Mar 29;40(4):btae148. doi: 10.1093/bioinformatics/btae148 PMID: 37873338 Free PMC article. Updated. Preprint.
Genomic insights for personalised care in lung cancer and smoking cessation: motivating at-risk individuals toward evidence-based health practices.
Chen T, Pham G, Fox L, Adler N, Wang X, Zhang J, Byun J, Han Y, Saunders GRB, Liu D, Bray MJ, Ramsey AT, McKay J, Bierut LJ, Amos CI, Hung RJ, Lin X, Zhang H, Chen LS. Chen T, et al. Among authors: zhang j, zhang h. EBioMedicine. 2024 Dec;110:105441. doi: 10.1016/j.ebiom.2024.105441. Epub 2024 Nov 8. EBioMedicine. 2024. PMID: 39520911 Free PMC article.
The PRIMED Consortium: Reducing disparities in polygenic risk assessment.
Kullo IJ, Conomos MP, Nelson SC, Adebamowo SN, Choudhury A, Conti D, Fullerton SM, Gogarten SM, Heavner B, Hornsby WE, Kenny EE, Khan A, Khera AV, Li Y, Martin I, Mercader JM, Ng M, Raffield LM, Reiner A, Rowley R, Schaid D, Stilp A, Wiley K, Wilson R, Witte JS, Natarajan P; Polygenic Risk Methods in Diverse Populations (PRIMED) Consortium. Kullo IJ, et al. Am J Hum Genet. 2024 Dec 5;111(12):2594-2606. doi: 10.1016/j.ajhg.2024.10.010. Epub 2024 Nov 18. Am J Hum Genet. 2024. PMID: 39561770 Free PMC article.
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