Genetic and environmental causes of variation in an automated breast cancer risk factor based on mammographic textures

Zhoufeng Ye, Gillian S. Dite, Tuong L. Nguyen, Robert J. MacInnis, Daniel F. Schmidt, Enes Makalic, Osamah M. Al-Qershi, Tu Nguyen-Dumont, Benjamin Goudey, Jennifer Stone, James G. Dowty, Graham G. Giles, Melissa C. Southey, John L. Hopper, Shuai Li

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1 Citation (Scopus)


Background: Cirrus is an automated risk predictor for breast cancer that comprises texture-based mammographic features and is mostly independent of mammographic density. We investigated genetic and environmental variance of variation in Cirrus. Methods: We measured Cirrus for 3,195 breast cancer-free participants, including 527 pairs of monozygotic (MZ) twins, 271 pairs of dizygotic (DZ) twins, and 1,599 siblings of twins. Multivariate normal models were used to estimate the variance and familial correlations of age-adjusted Cirrus as a function of age. The classic twin model was expanded to allow the shared environment effects to differ by zygosity. The SNP-based heritability was estimated for a subset of 2,356 participants. Results: There was no evidence that the variance or familial correlations depended on age. The familial correlations were 0.52 (SE, 0.03) for MZ pairs and 0.16(SE, 0.03) for DZ and non-twin sister pairs combined. Shared environmental factors specific toMZ pairs accounted for 20% of the variance. Additive genetic factors accounted for 32% (SE = 5%) of the variance, consistent with the SNP-based heritability of 36% (SE = 16%). Conclusion: Cirrus is substantially familial due to genetic factors and an influence of shared environmental factors that was evident for MZ twin pairs only. The latter could be due to nongenetic factors operating in utero or in early life that are shared by MZ twins.

Original languageEnglish
Pages (from-to)306-313
Number of pages8
JournalCancer Epidemiology, Biomarkers and Prevention
Issue number2
Publication statusPublished - 1 Feb 2024

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