Journal article
Genome-wide association studies identify four ER negative-specific breast cancer risk loci
Montserrat Garcia-Closas, Fergus J Couch, Sara Lindstrom, Kyriaki Michailidouo, Marjanka K Schmidt, Mark N Brook, Nick Orr, Suhn Kyong Rhie, Elio Riboli, Heather S Feigelson, Loic Le Marchand, Julie E Buring, Diana Eccles, Penelope Miron, Peter A Fasching, Hiltrud Brauch, Jenny Chang-Claude, Jane Carpenter, Andrew K Godwin, Heli Nevanlinna Show all
NATURE GENETICS | NATURE PUBLISHING GROUP | Published : 2013
DOI: 10.1038/ng.2561
Abstract
Estrogen receptor (ER)-negative tumors represent 20-30% of all breast cancers, with a higher proportion occurring in younger women and women of African ancestry. The etiology and clinical behavior of ER-negative tumors are different from those of tumors expressing ER (ER positive), including differences in genetic predisposition. To identify susceptibility loci specific to ER-negative disease, we combined in a meta-analysis 3 genome-wide association studies of 4,193 ER-negative breast cancer cases and 35,194 controls with a series of 40 follow-up studies (6,514 cases and 41,455 controls), genotyped using a custom Illumina array, iCOGS, developed by the Collaborative Oncological Gene-environm..
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Grants
Awarded by Cancer Research UK
Awarded by European Community's Seventh Framework Programme
Awarded by European Union European Cooperation in Science and Technology (COST)
Awarded by US National Cancer Institute
Awarded by US NIH
Awarded by European Union
Awarded by Ministry of Economic Development, Innovation and Export Trade of Quebec
Awarded by US NIH Cancer Post-Cancer GWAS initiative
Awarded by Cancer Foundation Finland sr
Awarded by Medical Research Council
Awarded by National Breast Cancer Foundation
Awarded by National Institute for Health Research
Awarded by The Francis Crick Institute; Cancer Research UK
Awarded by Grants-in-Aid for Scientific Research
Funding Acknowledgements
The authors wish to thank all the individuals who took part in these studies and all the researchers, clinicians and administrative staff who have enabled this work to be carried out. We are very grateful to Illumina, in particular J. Stone, S. McBean, J. Hadlington, A. Mustafa and K. Cook, for their help with designing the array. 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). BPC3 is funded by US National Cancer Institute cooperative agreements U01-CA98233, U01-CA98710, U01CA98216 and U01-CA98758 and the Intramural Research Program of the US National Institutes of Health (NIH)/National Cancer Institute, Division of Cancer Epidemiology and Genetics. TNBCC is supported by Mayo Clinic Breast Cancer Study (MCBCS) (US NIH grants CAl22340 and a Specialized Program of Research Excellence (SPORE) in Breast Cancer (CA116201)), grants from the Komen Foundation for the Cure and the Breast Cancer Research Foundation. Genotyping on the iCOGS array was funded by the European Union (HEALTH-F2-2009223175), Cancer Research UK (C1287/A10710), US NIH grant CAl22340, the Komen Foundation for the Cure, the Breast Cancer Research Foundation, the Canadian Institutes of Health Research (CIHR) for the CIHR Team in Familial Risks of Breast Cancer program (J. Simiard and D.E.) and Ministry of Economic Development, Innovation and Export Trade of Quebec grant PSR-SIIRI701 (J. Simiard, D.E. and P.H.). J. Simiard holds the Canada Research Chair in Oncogenetics. Combination of the GWAS data was supported in part by US NIH Cancer Post-Cancer GWAS initiative grant U19 CA 148065-01 (DRIVE, part of the GAME-ON initiative) and Breakthrough Breast Cancer Research.