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Novel associations between common breast cancer susceptibility variants and risk-predicting mammographic density measures
,
Deborah J. Thompson,
Isabel dos Santos Silva,
Isabel dos Santos Silva,
Christopher Scott,
Rulla M. Tamimi,
Sara Lindstrom,
Peter Kraft,
Aditi Hazra,
Jingmei Li,
Louise Eriksson,
Kamila Czene,
Per Hall,
Matt Jensen,
Julie Cunningham
and other authors.
Abstract
This is the author accepted manuscript. The final version is available via American Association for Cancer Research at http://cancerres.aacrjournals.org/content/early/2015/04/10/0008-5472.CAN-14-2012.abstract. ; Mammographic density measures adjusted for age and body mass index (BMI) are heritable predictors of breast cancer risk but few mammographic density-associated genetic variants have been identified. Using data for 10,727 women from two international consortia, we estimated associations between 77 common breast cancer susceptibility variants and absolute dense area, percent dense area and absolute non-dense area adjusted for study, age and BMI using mixed linear modeling. We found strong support for established associations between rs10995190 (in the region of ZNF365), rs2046210 (ESR1) and rs3817198 (LSP1) and adjusted absolute and percent dense areas (all p