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

Journal article

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

Cancer Epidemiology, Biomarkers and Prevention | American Association for Cancer Research | Published : 2024

DOI: 10.1158/1055-9965.EPI-23-1012

Abstract

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 ..

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University of Melbourne Researchers

Gillian Dite Author

Kevin Nguyen Author

Robert MacInnis Author

Daniel Schmidt Author Melbourne School of Population and Global Health

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Grants

Awarded by National Health and Medical Research Council

Awarded by Cancer Australia

Awarded by China Scholarship Council-University of Melbourne PhD Scholarship

Awarded by NHMRC Emerging Leadership Fellow

Awarded by National Breast Cancer Foundation Early Career Fellowship

Funding Acknowledgements

The Australian Mammographic Density Twins and Sisters Study was supported by the National Health and Medical Research Council (NHMRC; grant nos. 1050561 and 1079102), Cancer Australia and National Breast Cancer Foundation (grant no. 509307). Z. Ye is supported by the China Scholarship Council-University of Melbourne PhD Scholarship. T.L. Nguyen is supported by Cancer Council Victoria (AF7305). S. Li is a Victorian Cancer Agency Early Career Research Fellow (ECRF19020) and an NHMRC Emerging Leadership Fellow (GNT2017373). J. Stone is supported by a National Breast Cancer Foundation Early Career Fellowship (ECF-17-010). M.C. Southey is supported by a NHMRC Fellowship (GNT1155163) and a NHMRC L3 Investigator Fellow (GNT2017325). J.L. Hopper is supported by a NHMRC Fellowship (GNT1137349) and is currently a Dame Kate Campbell Professorial Fellow at the University of Melbourne.