Published in

Nature Research, Nature Communications, 1(7), 2016

DOI: 10.1038/ncomms11375

Links

Tools

Export citation

Search in Google Scholar

Identification of four novel susceptibility loci for oestrogen receptor negative breast cancer

Journal article published in 2016 by Fergus J. Couch, M. Pilar Zamora, Katri Pylkaes, Karoline B. Kuchenbaecker, Kyriaki Michailidou, Gustavo A. Mendoza Fandino, Silje Nord, Janna Lilyquist, Curtis Olswold, Emily Hallberg, Simona Agata, Habibul Ahsan, Kristiina Aittomäki, Mariá-José Sánchez, Christine Ambrosone and other authors.
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Upload
Red circle
Postprint: archiving forbidden
Green circle
Published version: archiving allowed
Upload
Policy details
Data provided by SHERPA/RoMEO

Abstract

AbstractCommon variants in 94 loci have been associated with breast cancer including 15 loci with genome-wide significant associations (P<5 × 10−8) with oestrogen receptor (ER)-negative breast cancer and BRCA1-associated breast cancer risk. In this study, to identify new ER-negative susceptibility loci, we performed a meta-analysis of 11 genome-wide association studies (GWAS) consisting of 4,939 ER-negative cases and 14,352 controls, combined with 7,333 ER-negative cases and 42,468 controls and 15,252 BRCA1 mutation carriers genotyped on the iCOGS array. We identify four previously unidentified loci including two loci at 13q22 near KLF5, a 2p23.2 locus near WDR43 and a 2q33 locus near PPIL3 that display genome-wide significant associations with ER-negative breast cancer. In addition, 19 known breast cancer risk loci have genome-wide significant associations and 40 had moderate associations (P<0.05) with ER-negative disease. Using functional and eQTL studies we implicate TRMT61B and WDR43 at 2p23.2 and PPIL3 at 2q33 in ER-negative breast cancer aetiology. All ER-negative loci combined account for ∼11% of familial relative risk for ER-negative disease and may contribute to improved ER-negative and BRCA1 breast cancer risk prediction.