Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer.

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Ana Vega; Alessandra Viel; Joseph Vijai; Daniel Vincent; Jason Vollenweider; Lisa Walker; Zhaoming Wang; Shan Wang-Gohrke; Barbara Wappenschmidt; Clarice R Weinberg; Jeffrey N Weitzel; Camilla Wendt; Jelle Wesseling; Alice S Whittemore; Juul T Wijnen; Walter Willett; Robert Winqvist; Alicja Wolk; Anna H Wu; Lucy Xia; Xiaohong R Yang; Drakoulis Yannoukakos; Daniela Zaffaroni; Wei Zheng; Bin Zhu; Argyrios Ziogas; Elad Ziv; Kristin K Zorn; Manuela Gago-Dominguez; Arto Mannermaa; Håkan Olsson; Manuel R Teixeira; Jennifer Stone; Kenneth Offit; Laura Ottini; Sue K Park; Mads Thomassen; Per Hall; Alfons Meindl; Rita K Schmutzler; Arnaud Droit; Gary D Bader ORCID logo; Paul DP Pharoah ORCID logo; Fergus J Couch; Douglas F Easton; Peter Kraft; Georgia Chenevix-Trench; Montserrat García-Closas; Marjanka K Schmidt; Antonis C Antoniou; Jacques Simard; (2017) Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer. Nature genetics, 49 (12). pp. 1767-1778. ISSN 1061-4036 DOI: 10.1038/ng.3785
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Most common breast cancer susceptibility variants have been identified through genome-wide association studies (GWAS) of predominantly estrogen receptor (ER)-positive disease. We conducted a GWAS using 21,468 ER-negative cases and 100,594 controls combined with 18,908 BRCA1 mutation carriers (9,414 with breast cancer), all of European origin. We identified independent associations at P < 5 × 10-8 with ten variants at nine new loci. At P < 0.05, we replicated associations with 10 of 11 variants previously reported in ER-negative disease or BRCA1 mutation carrier GWAS and observed consistent associations with ER-negative disease for 105 susceptibility variants identified by other studies. These 125 variants explain approximately 16% of the familial risk of this breast cancer subtype. There was high genetic correlation (0.72) between risk of ER-negative breast cancer and breast cancer risk for BRCA1 mutation carriers. These findings may lead to improved risk prediction and inform further fine-mapping and functional work to better understand the biological basis of ER-negative breast cancer.


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