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

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Veröffentlicht in:	Nature communications 2021-07, Vol.12 (1), p.4198-8, Article 4198
Hauptverfasser:	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
Format:	Artikel
Sprache:	eng
Schlagworte:	45/43 631/67/1347 692/4028/67/2324 Black People - genetics Breast cancer Breast Neoplasms - genetics Consortia Estrogen receptors Estrogens Female Genetic Predisposition to Disease Genetics Genome-Wide Association Study Genomes Health risks Humanities and Social Sciences Humans Introns Loci Meta-analysis multidisciplinary Nucleotides Polymorphism, Single Nucleotide Populations Quantitative Trait Loci Risk Science Science (multidisciplinary) Single-nucleotide polymorphism White People - genetics
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Beschreibung
Zusammenfassung:	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
ISSN:	2041-1723 2041-1723
DOI:	10.1038/s41467-021-24327-x