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

  • Jennifer Stone
  • , Lyle C. Gurrin
  • , Graham B. Byrnes
  • , Christopher J. Schroen
  • , Susan A. Treloar
  • , Emma J.D. Padilla
  • , Gillian S. Dite
  • , Melissa C. Southey
  • , Vanessa M. Hayes
  • , John L. Hopper

Research output: Contribution to journalArticleResearchpeer-review

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 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.

Original languageEnglish
Pages (from-to)1479-1484
Number of pages6
JournalCancer Epidemiology Biomarkers and Prevention
Volume16
Issue number7
DOIs
Publication statusPublished - 1 Jul 2007
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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