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

Roger L. Milne, Karoline B. Kuchenbaecker, Kyriaki Michailidou, Jonathan Beesley, Siddhartha Kar, Sara Lindström, Shirley Hui, Audrey Lemaçon, Penny Soucy, Joe Dennis, Xia Jiang, Asha Rostamianfar, Hilary K Finucane, Manjeet K. Bolla, Lesley McGuffog, Qin Wang, Cora M. Aalfs, Marcia Adams, Julian Adlard, Simona AgataShahana Ahmed, Habibul Ahsan, Kristiina Aittomäki, Fares Al-Ejeh, Jamie Allen, Christine B. Ambrosone, Christopher I Amos, Irene L. Andrulis, Hoda Anton-Culver, Natalia N. Antonenkova, Volker Arndt, Norbert Arnold, Kristan J Aronson, Bernd Auber, Paul L. Auer, Margreet G E M Ausems, Jacopo Azzollini, François Bacot, Judith Balmaña, Monica Barile, Laure Barjhoux, Rosa B. Barkardottir, Myrto Barrdahl, Daniel R Barnes, Daniel Barrowdale, Caroline Baynes, Matthias W. Beckmann, Javier Benitez, Marina Bermisheva, Leslie Bernstein,

Research output: Contribution to journalArticleAcademicpeer-review

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 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.

Original languageEnglish
Pages (from-to)1767-1778
Number of pages12
JournalNature Genetics
Volume49
Issue number12
DOIs
Publication statusPublished - Dec 2017

Keywords

  • BRCA1 Protein
  • Breast Neoplasms
  • European Continental Ancestry Group
  • Female
  • Genetic Predisposition to Disease
  • Genome-Wide Association Study
  • Heterozygote
  • Humans
  • Journal Article
  • Mutation
  • Polymorphism, Single Nucleotide
  • Receptors, Estrogen
  • Risk Factors

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