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

Roger L Milne, Karoline B Kuchenbaecker, Kyriaki Michailidou, Nick Orr, Jonathan Beesley, Siddhartha Karr, Sara Lindström, Shirley Hui, Audrey Lemaçon, Penny Soucy

Research output: Contribution to journalArticlepeer-review

115 Citations (Scopus)
311 Downloads (Pure)

Abstract

Most common breast cancer susceptibility variants have been identified through genome-wide association studies (GWAS) of predominantly estrogen receptor (ER)-positive disease1. 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 BRCA1mutation 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.
Original languageEnglish
Pages (from-to)1767-1778
Number of pages15
JournalNature Genetics
Volume49
Early online date23 Oct 2017
DOIs
Publication statusEarly online date - 23 Oct 2017

Fingerprint Dive into the research topics of 'Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer'. Together they form a unique fingerprint.

Cite this