Genome-wide association analyses of breast cancer in women of African ancestry identify new susceptibility loci and improve risk prediction
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Published:2024-05
Issue:5
Volume:56
Page:819-826
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ISSN:1061-4036
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Container-title:Nature Genetics
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language:en
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Short-container-title:Nat Genet
Author:
Jia GuochongORCID, Ping JieORCID, Guo XingyiORCID, Yang YaohuaORCID, Tao Ran, Li BingshanORCID, Ambs StefanORCID, Barnard Mollie E., Chen Yu, Garcia-Closas MontserratORCID, Gu JianORCID, Hu Jennifer J.ORCID, Huo DezhengORCID, John Esther M., Li Christopher I., Li James L.ORCID, Nathanson Katherine L.ORCID, Nemesure Barbara, Olopade Olufunmilayo I., Pal Tuya, Press Michael F.ORCID, Sanderson Maureen, Sandler Dale P.ORCID, Shu Xiao-Ou, Troester Melissa A.ORCID, Yao SongORCID, Adejumo Prisca O., Ahearn ThomasORCID, Brewster Abenaa M., Hennis Anselm J. M., Makumbi Timothy, Ndom Paul, O’Brien Katie M.ORCID, Olshan Andrew F., Oluwasanu Mojisola M., Reid Sonya, Butler Ebonee N., Huang Maosheng, Ntekim AtaraORCID, Qian HuijunORCID, Zhang HaoyuORCID, Ambrosone Christine B.ORCID, Cai QiuyinORCID, Long Jirong, Palmer Julie R., Haiman Christopher A.ORCID, Zheng WeiORCID
Publisher
Springer Science and Business Media LLC
Reference60 articles.
1. Hu, C. et al. A population-based study of genes previously implicated in breast cancer. N. Engl. J. Med. 384, 440–451 (2021). 2. Dorling, L. et al. Breast cancer risk genes—association analysis in more than 113,000 women. N. Engl. J. Med. 384, 428–439 (2021). 3. Narod, S. A. Which genes for hereditary breast cancer? N. Engl. J. Med. 384, 471–473 (2021). 4. Michailidou, K. et al. Association analysis identifies 65 new breast cancer risk loci. Nature 551, 92–94 (2017). 5. Zhang, H. et al. Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses. Nat. Genet. 52, 572–581 (2020).
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