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Polymorphisms in Steroid Hormone Pathway Genes and Mammographic Density

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Abstract

Mammographic density has been linked with exposure to endogenous and exogenous steroid hormones, and increased breast cancer risk. Variation in breast density may be due, in part, to polymorphisms in steroid hormone biosynthesis, metabolism and signaling genes. We conducted cross-sectional analyses within the Nurses' Health Study (n = 538), to investigate variation in mammographic breast density, by 10 polymorphisms in eight candidate genes (CYP17, CYP19, CYP1A1, CYP1B1, COMT, UGT1A1, AR, and AIB1). Breast density was assessed using a computer-assisted technique. We evaluated whether associations between variant alleles of these genes and breast density differed by menopause and postmenopausal hormone (PMH) use. Polymorphisms in CYP17, CYP19, CYP1B1, COMT, CYP1A1, or AR were not associated consistently with breast density among premenopausal or postmenopausal women. Premenopausal women with the 7/7 UGT1A1 genotype had lower breast density (difference compared to the 6/6 genotype of: −16.5% density; p = 0.04). In contrast, postmenopausal women with the 7/7 UGT1A1 genotype had greater breast density compared to those with the 6/6 genotype (+6.2% density; p = 0.05); this association was strongest among current PMH users (+13.0% density; p = 0.03). In analyses limited to postmenopausal women, breast density was also greater among women carrying short AIB1 alleles (≤26 glutamine repeats; +4.1% density; p = 0.04). Most of the variants in the candidate breast cancer genes evaluated in this study are not strong predictors of breast density. However, our findings of differences in associations for UGT1A1 and AIB1 genotypes with breast density by menopausal status needs additional corroboration.

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Authors and Affiliations

  1. Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA

    Christopher A. Haiman, Susan E. Hankinson, Immaculata De Vivo & David J. Hunter

  2. Department of Preventive Medicine, USC/Norris Comprehensive Cancer Center, Los Angeles, CA, USA

    Christopher A. Haiman

  3. Channing Laboratory, Department of Medicine, Harvard Medical School and Brigham and Women's Hospital, Boston, MA, USA

    Susan E. Hankinson, Immaculata De Vivo, David J. Hunter & Celia Byrne

  4. Oncology and Molecular Endocrinology Research Center, CHUL Research Center (CHUQ), Faculty of Pharmacy, Laval University, Quebec, Canada

    Chantal Guillemette

  5. Genetic Epidemiology Branch, National Cancer Institute, Rockville, MD, USA

    Naoko Ishibe

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  1. Christopher A. Haiman
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Haiman, C.A., Hankinson, S.E., Vivo, I.D. et al. Polymorphisms in Steroid Hormone Pathway Genes and Mammographic Density. Breast Cancer Res Treat 77, 27–36 (2003). https://doi.org/10.1023/A:1021112121782

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  • DOI: https://doi.org/10.1023/A:1021112121782

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