Journal article
Large-scale genotyping identifies 41 new loci associated with breast cancer risk
K Michailidou, P Hall, A Gonzalez-Neira, M Ghoussaini, J Dennis, RL Milne, MK Schmidt, J Chang-Claude, SE Bojesen, MK Bolla, Q Wang, E Dicks, A Lee, C Turnbull, N Rahman, O Fletcher, J Peto, L Gibson, I Dos Santos Silva, H Nevanlinna Show all
Nature Genetics | NATURE PUBLISHING GROUP | Published : 2013
DOI: 10.1038/ng.2563
Abstract
Breast cancer is the most common cancer among women. Common variants at 27 loci have been identified as associated with susceptibility to breast cancer, and these account for ∼9% of the familial risk of the disease. We report here a meta-analysis of 9 genome-wide association studies, including 10,052 breast cancer cases and 12,575 controls of European ancestry, from which we selected 29,807 SNPs for further genotyping. These SNPs were genotyped in 45,290 cases and 41,880 controls of European ancestry from 41 studies in the Breast Cancer Association Consortium (BCAC). The SNPs were genotyped as part of a collaborative genotyping experiment involving four consortia (Collaborative Oncological G..
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Awarded by Canadian Institutes of Health Research
Funding Acknowledgements
The authors wish to thank all the individuals who took part in these studies and all the researchers, clinicians, technicians and administrative staff who have enabled this work to be carried out. BCAC is funded by Cancer Research UK (C1287/A10118 and C1287/Al2014) and by the European Community's Seventh Framework Programme under grant agreement 223175 (HEALTH-F2-2009-223175) (COGS). Meetings of BCAC have been funded by the European Union European Cooperation in Science and Technology (COST) programme (BM0606). Genotyping of the iCOGS array was funded by the European Union (HEALTH-F2-2009-223175), Cancer Research UK (C1287/A10710), the Canadian Institutes of Health Research (CIHR) for the CIHR Team in Familial Risks of Breast Cancer program and the Ministry of Economic Development, Innovation and Export Trade of Quebec (grant PSR-SIIRI-701). Combining the GWAS data was supported in part by the US National Institutes of Health (NIH) Cancer Post-Cancer GWAS initiative grant 1 U19 CA 148065-01 (DRIVE, part of the GAME-ON initiative). A full description of funding and acknowledgments is provided in the Supplementary Note.