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Cancer Epidemiology Biomarkers & Prevention 16, 1479-1484, July 1, 2007. doi: 10.1158/1055-9965.EPI-07-0107
© 2007 American Association for Cancer Research

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Mammographic Density and Candidate Gene Variants: A Twins and Sisters Study

Jennifer Stone1, Lyle C. Gurrin1, Graham B. Byrnes1, Christopher J. Schroen2, Susan A. Treloar3, Emma J.D. Padilla4, Gillian S. Dite1, Melissa C. Southey2, Vanessa M. Hayes4,5 and John L. Hopper1

1 Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology and 2 Genetic Epidemiology Laboratory, University of Melbourne, Melbourne, Victoria, Australia; 3 Genetic Epidemiology Laboratory, Queensland Institute of Medical Research, Brisbane, Queensland, Australia; and 4 Garvan Institute of Medical Research, Cancer Research Program, and 5 Department of Medicine, St. Vincent's Hospital Clinical School, University of New South Wales, Sydney, New South Wales, Australia

Requests for reprints: John Hopper, Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, University of Melbourne, 2/723 Swanston Street, Carlton, Victoria 3053, Australia. Phone: 61-0383440697; Fax: 61-0393495815. E-mail: j.hopper{at}unimelb.edu.au

Background: Mammographic density, the light/white radiographic appearance on a mammogram that represents connective and epithelial tissue, is a strong risk factor for breast cancer which seems to be highly heritable. Little is known about its genetic determinants.

Methods: We studied 457 women from 207 sisterhoods (104 monozygotic twins, 182 dizygotic twins, and 171 singletons). Percentage mammographic density (PMD) as well as dense area and nondense area were calculated using a computer-assisted method. We measured six single nucleotide polymorphisms from six candidate genes (COMT, HSD3B1, IGFBP3, HER2, XPD, and XRCC3). Associations between genotypes and mammographic measures were tested (a) cross-sectionally using a multivariate normal model fitted using FISHER that allowed separate correlations for monozygotic, dizygotic, and nontwin pairs and (b) within sister pairs using paired t tests.

Results: Cross-sectionally, each additional copy of the HSD3B1 Asn367Thr variant allele was associated with lower PMD (–3.47% per allele; SE = 1.65; P = 0.035). Within-pair regression estimates confirmed this association. There was no evidence for an association between the mammographic density measures and any of the other variants studied.

Conclusion: We have replicated an association between a variant in the HSD3B1 gene and PMD, which suggests that HSD3B1 may be genetic determinant of mammographic density. (Cancer Epidemiol Biomarkers Prev 2007;16(7):1479–84)







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Cancer Research Clinical Cancer Research
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Molecular Cancer Research Cancer Prevention Research
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Annual Meeting Education Book Meeting Abstracts Online
Copyright © 2007 by the American Association for Cancer Research.