2026-06-14T06:44:14Zhttps://repisalud.isciii.es/rest/oai/request

oai:repisalud.isciii.es:20.500.12105/92682025-04-07T06:45:15Zcom_20.500.12105_2052com_20.500.12105_2051col_20.500.12105_19608

00925njm 22002777a 4500 dc Lindström, Sara author Thompson, Deborah J author Paterson, Andrew D author Li, Jingmei author Gierach, Gretchen L author Scott, Christopher author Stone, Jennifer author Douglas, Julie A author Dos-Santos-Silva, Isabel author Fernandez-Navarro, Pablo L author Verghase, Jajini author Smith, Paula author Brown, Judith author Luben, Robert author Wareham, Nicholas J author Loos, Ruth J F author Heit, John A author Pankratz, V Shane author Norman, Aaron author Goode, Ellen L author Cunningham, Julie M author deAndrade, Mariza author Vierkant, Robert A author Czene, Kamila author Fasching, Peter A author Baglietto, Laura author Southey, Melissa C author Giles, Graham G author Shah, Kaanan P author Chan, Heang-Ping author Helvie, Mark A author Beck, Andrew H author Knoblauch, Nicholas W author Hazra, Aditi author Hunter, David J author Kraft, Peter author Pollan-Santamaria, Marina author Figueroa, Jonine D author Couch, Fergus J author Hopper, John L author Hall, Per author Easton, Douglas F author Boyd, Norman F author Vachon, Celine M author Tamimi, Rulla M author 2014-10-24 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<5 × 10(-8)) loci for dense area (AREG, ESR1, ZNF365, LSP1/TNNT3, IGF1, TMEM184B and SGSM3/MKL1), non-dense area (8p11.23) and percent density (PRDM6, 8p11.23 and TMEM184B). Four of these regions are known breast cancer susceptibility loci, and four additional regions were found to be associated with breast cancer (P<0.05) in a large meta-analysis. These results provide further evidence of a shared genetic basis between mammographic density and breast cancer and illustrate the power of studying intermediate quantitative phenotypes to identify putative disease-susceptibility loci. Nat Commun. 2014 Oct 24;5:5303. 10.1038/ncomms6303 2041-1723 2041-1723 Nature communications https://pmc.ncbi.nlm.nih.gov/articles/PMC4320806/ 25342443 http://hdl.handle.net/20.500.12105/9268 Genome-wide association study identifies multiple loci associated with both mammographic density and breast cancer risk