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

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

Nat Commun

1] Program in Genetic Epidemiology and Statistical Genetics, Harvard School Of Public Health, Boston, Massachusetts 02115, USA [2] Department of Epidemiology, Harvard School Of Public Health, Boston, Massachusetts 02115, USA [3] Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02115, USA.

Published: October 2014

AI Article Synopsis

Article 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4320806PMC
http://dx.doi.org/10.1038/ncomms6303DOI Listing

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