Genome-wide association study identifies multiple loci associated with both mammographic density and breast cancer risk

Sara Lindström, Deborah J. Thompson, Andrew D. Paterson, Jingmei Li, Gretchen L. Gierach, Christopher Scott, Jennifer Stone, Julie A. Douglas, Isabel dos-Santos-Silva, Pablo Fernandez-Navarro, Jajini Verghase, Paula Smith, Judith Brown, Robert Luben, Nicholas J. Wareham, Ruth J. F. Loos, John A. Heit, V. Shane Pankratz, Aaron Norman, Ellen L. Goode, Julie M. Cunningham, Mariza deAndrade, Robert A. Vierkant, Kamila Czene, Peter A. Fasching, Laura Baglietto, Melissa C. Southey, Graham G. Giles, Kaanan P. Shah, Heang-Ping Chan, Mark A. Helvie, Andrew H. Beck, Nicholas W. Knoblauch, Aditi Hazra, David J. Hunter, Peter Kraft, Marina Pollan, Jonine D. Figueroa, Fergus J. Couch, John L. Hopper, Per Hall, Douglas F. Easton, Norman F. Boyd, Celine M. Vachon and Rulla M. Tamimi ()
Additional contact information
Sara Lindström: Program in Genetic Epidemiology and Statistical Genetics, Harvard School Of Public Health
Deborah J. Thompson: Centre for Genetic Epidemiology, University of Cambridge
Andrew D. Paterson: Program in Genetics and Genome Biology, The Hospital for Sick Children
Jingmei Li: Karolinska Institutet
Gretchen L. Gierach: Hormonal and Reproductive Epidemiology Branch, National Cancer Institute
Christopher Scott: Mayo Clinic
Jennifer Stone: Centre for Genetic Origins of Health and Disease, University of Western Australia
Julie A. Douglas: University of Michigan Medical School
Isabel dos-Santos-Silva: Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine
Pablo Fernandez-Navarro: Cancer and Environmental Epidemiology Unit, National Center for Epidemiology, Carlos III Institute of Health
Jajini Verghase: Centre for Genetic Epidemiology, University of Cambridge
Paula Smith: Centre for Genetic Epidemiology, University of Cambridge
Judith Brown: Centre for Genetic Epidemiology, University of Cambridge
Robert Luben: Centre for Genetic Epidemiology, University of Cambridge
Nicholas J. Wareham: Medical Research Council (MRC) Epidemiology Unit, Institute of Metabolic Science, University of Cambridge
Ruth J. F. Loos: Medical Research Council (MRC) Epidemiology Unit, Institute of Metabolic Science, University of Cambridge
John A. Heit: Mayo Clinic
V. Shane Pankratz: Mayo Clinic
Aaron Norman: Mayo Clinic
Ellen L. Goode: Mayo Clinic
Julie M. Cunningham: Mayo Clinic
Mariza deAndrade: Mayo Clinic
Robert A. Vierkant: Mayo Clinic
Kamila Czene: Karolinska Institutet
Peter A. Fasching: Erlangen University Hospital, Friedrich Alexander University of Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN
Laura Baglietto: Cancer Epidemiology Centre, Cancer Council Victoria
Melissa C. Southey: University of Melbourne
Graham G. Giles: Cancer Epidemiology Centre, Cancer Council Victoria
Kaanan P. Shah: University of Michigan Medical School
Heang-Ping Chan: University of Michigan Medical School
Mark A. Helvie: University of Michigan Medical School
Andrew H. Beck: Beth Israel Deaconess Medical Center and Harvard Medical School
Nicholas W. Knoblauch: Beth Israel Deaconess Medical Center and Harvard Medical School
Aditi Hazra: Program in Genetic Epidemiology and Statistical Genetics, Harvard School Of Public Health
David J. Hunter: Program in Genetic Epidemiology and Statistical Genetics, Harvard School Of Public Health
Peter Kraft: Program in Genetic Epidemiology and Statistical Genetics, Harvard School Of Public Health
Marina Pollan: Cancer and Environmental Epidemiology Unit, National Center for Epidemiology, Carlos III Institute of Health
Jonine D. Figueroa: Hormonal and Reproductive Epidemiology Branch, National Cancer Institute
Fergus J. Couch: Mayo Clinic
John L. Hopper: Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne
Per Hall: Karolinska Institutet
Douglas F. Easton: Centre for Genetic Epidemiology, University of Cambridge
Norman F. Boyd: Campbell Family Institute for Breast Cancer Research, Ontario Cancer Institute
Celine M. Vachon: Mayo Clinic
Rulla M. Tamimi: Program in Genetic Epidemiology and Statistical Genetics, Harvard School Of Public Health

Nature Communications, 2014, vol. 5, issue 1, 1-8

Abstract: Abstract Mammographic density reflects the amount of stromal and epithelial tissues in relation to adipose tissue in the breast and is a strong risk factor for breast cancer. Here we report the results from meta-analysis of genome-wide association studies (GWAS) of three mammographic density phenotypes: dense area, non-dense area and percent density in up to 7,916 women in stage 1 and an additional 10,379 women in stage 2. We identify genome-wide significant (P

Date: 2014
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DOI: 10.1038/ncomms6303

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