학술논문
Cross-ancestry GWAS meta-analysis identifies six breast cancer loci in African and European ancestry women.
Document Type
article
Author
Adedokun, Babatunde; Du, Zhaohui; Gao, Guimin; Ahearn, Thomas U; Lunetta, Kathryn L; Zirpoli, Gary; Figueroa, Jonine; John, Esther M; Bernstein, Leslie; Zheng, Wei; Hu, Jennifer J; Ziegler, Regina G; Nyante, Sarah; Bandera, Elisa V; Ingles, Sue A; Press, Michael F; Deming-Halverson, Sandra L; Rodriguez-Gil, Jorge L; Yao, Song; Ogundiran, Temidayo O; Ojengbede, Oladosu; Blot, William; Troester, Melissa A; Nathanson, Katherine L; Hennis, Anselm; Nemesure, Barbara; Ambs, Stefan; Fiorica, Peter N; Sucheston-Campbell, Lara E; Bensen, Jeannette T; Kushi, Lawrence H; Torres-Mejia, Gabriela; Hu, Donglei; Fejerman, Laura; Bolla, Manjeet K; Dennis, Joe; Dunning, Alison M; Easton, Douglas F; Michailidou, Kyriaki; Pharoah, Paul DP; Wang, Qin; Sandler, Dale P; Taylor, Jack A; O'Brien, Katie M; Kitahara, Cari M; Falusi, Adeyinka G; Babalola, Chinedum; Yarney, Joel; Awuah, Baffour; Addai-Wiafe, Beatrice; GBHS Study Team; Chanock, Stephen J; Olshan, Andrew F; Ambrosone, Christine B; Conti, David V; Ziv, Elad; Olopade, Olufunmilayo I; Garcia-Closas, Montserrat; Palmer, Julie R; Haiman, Christopher A; Huo, Dezheng
Source
Nature communications. 12(1)
Subject
Language
Abstract
Our study describes breast cancer risk loci using a cross-ancestry GWAS approach. We first identify variants that are associated with breast cancer at P