2024-03-29T05:05:57Zhttp://repisalud.isciii.es/oai/requestoai:repisalud.isciii.es:20.500.12105/92682022-10-06T07:03:11Zcom_20.500.12105_2053com_20.500.12105_2052com_20.500.12105_2051col_20.500.12105_2054
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.
2041-1723
http://hdl.handle.net/20.500.12105/9268
25342443
10.1038/ncomms6303
2041-1723
Nature communications
Genome-wide association study identifies multiple loci associated with both mammographic density and breast cancer risk