Cross-ancestry GWAS meta-analysis identifies six breast cancer loci in African and European ancestry women

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 < 0.05 from African ancestry GWAS meta-analysis (9241 cases and 10193 controls), then meta-analyze with European ancestry GWAS data (122977 case...

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Autores principales: 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 D. P., 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, 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8263739/
https://www.ncbi.nlm.nih.gov/pubmed/34234117
http://dx.doi.org/10.1038/s41467-021-24327-x

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