Lindström, SaraThompson, Deborah JPaterson, Andrew DLi, JingmeiGierach, Gretchen LScott, ChristopherStone, JenniferDouglas, Julie ADos-Santos-Silva, IsabelFernandez-Navarro, Pablo LVerghase, JajiniSmith, PaulaBrown, JudithLuben, RobertWareham, Nicholas JLoos, Ruth J FHeit, John APankratz, V ShaneNorman, AaronGoode, Ellen LCunningham, Julie MdeAndrade, MarizaVierkant, Robert ACzene, KamilaFasching, Peter ABaglietto, LauraSouthey, Melissa CGiles, Graham GShah, Kaanan PChan, Heang-PingHelvie, Mark ABeck, Andrew HKnoblauch, Nicholas WHazra, AditiHunter, David JKraft, PeterPollan-Santamaria, MarinaFigueroa, Jonine DCouch, Fergus JHopper, John LHall, PerEaston, Douglas FBoyd, Norman FVachon, Celine MTamimi, Rulla M2020-03-182020-03-182014-10-24Nat Commun. 2014 Oct 24;5:5303.2041-1723https://pmc.ncbi.nlm.nih.gov/articles/PMC4320806/http://hdl.handle.net/20.500.12105/9268Corrigendum: genome-wide association study identifies multiple loci associated with both mammographic density and breast cancer risk. Nat Commun. 2015 Sep 9;6:8358. doi: 10.1038/ncomms9358. PMID: 26349435Mammographic 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.engVoRhttp://creativecommons.org/licenses/by-nc-sa/4.0/Breast DensityBreast NeoplasmsCase-Control StudiesFemaleHumansMammary Glands, HumanPolymorphism, Single NucleotideRadiographyGenetic LociGenetic Predisposition to DiseaseGenome-Wide Association StudyGenome-wide association study identifies multiple loci associated with both mammographic density and breast cancer riskAtribución-NoComercial-CompartirIgual 4.0 Internacional2534244351530310.1038/ncomms63032041-1723Nature communicationsopen access