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

Authors :
Graham G. Giles
Paula Smith
Rulla M. Tamimi
Celine M. Vachon
John A. Heit
Jennifer Stone
Heang Ping Chan
Ruth J. F. Loos
Melissa C. Southey
Julie M. Cunningham
Peter Kraft
Ellen L. Goode
Christopher G. Scott
Andrew H. Beck
Fergus J. Couch
Andrew D. Paterson
Jajini Verghase
Robert Luben
Kaanan P. Shah
Kamila Czene
Aditi Hazra
John L. Hopper
Peter A. Fasching
Robert A. Vierkant
Sara Lindström
Julie A. Douglas
V. Shane Pankratz
Laura Baglietto
Jingmei Li
Marina Pollán
Judith E. Brown
Isabel dos-Santos-Silva
Douglas F. Easton
Aaron D. Norman
Norman F. Boyd
Mark A. Helvie
Deborah J. Thompson
Per Hall
Jonine D. Figueroa
Gretchen L. Gierach
David J. Hunter
Nicholas W. Knoblauch
Pablo Fernández-Navarro
Mariza deAndrade
Nicholas J. Wareham
Instituto de Salud Carlos III
Unión Europea
Source :
Repisalud, Instituto de Salud Carlos III (ISCIII), Nature communications
Publication Year :
2014
Publisher :
Nature Publishing Group, 2014.

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

Details

Database :
OpenAIRE
Journal :
Repisalud, Instituto de Salud Carlos III (ISCIII), Nature communications
Accession number :
edsair.doi.dedup.....26d573a3a6cf7004c568f45d47e5b67e