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Mammographic density and candidate gene variants: a twins and sisters study

Abstract

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 Asn(367)Thr 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.

Type Journal
ISBN 1055-9965 (Print)
Authors Stone, J.;Gurrin, L. C.;Byrnes, G. B.;Schroen, C. J.;Treloar, S. A.;Padilla, E. J.;Dite, G. S.;Southey, M. C.;Hayes, V. M.;Hopper, J. L. :
Publisher Name CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION
Published Date 2007-01-01
Published Volume 16
Published Issue 7
Published Pages 1479-84
Status Published in-print
URL link to publisher's version http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17627014
OpenAccess link to author's accepted manuscript version https://publications.gimr.garvan.org.au/open-access/2288