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. GoodeJulie 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, Rulla M. Tamimi

Research output: Contribution to journalArticle

60 Scopus citations

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<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.

Original languageEnglish (US)
Article number5303
JournalNature communications
Volume5
DOIs
StatePublished - Oct 24 2014

ASJC Scopus subject areas

  • Chemistry(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Physics and Astronomy(all)

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    Lindström, S., Thompson, D. J., Paterson, A. D., Li, J., Gierach, G. L., Scott, C., Stone, J., Douglas, J. A., Dos-Santos-Silva, I., Fernandez-Navarro, P., Verghase, J., Smith, P., Brown, J., Luben, R., Wareham, N. J., Loos, R. J. F., Heit, J. A., Shane Pankratz, V., Norman, A., ... Tamimi, R. M. (2014). Genome-wide association study identifies multiple loci associated with both mammographic density and breast cancer risk. Nature communications, 5, [5303]. https://doi.org/10.1038/ncomms6303