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Ebiomedicine|March 18, 2022
Early life affects late-life health through determining DNA methylation across the lifespan: A twin studyShuai Li, Zhoufeng Ye, Karen A Mather, et al.
Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|December 10, 2008
Predictors of mammographic density: insights gained from a novel regression analysis of a twin studyGillian S Dite, Lyle C Gurrin, Graham B Byrnes, et al.
Breast Cancer Research : BCR|December 15, 2018
Predicting interval and screen-detected breast cancers from mammographic density defined by different brightness thresholdsTuong L Nguyen, Ye K Aung, Shuai Li, et al.
American Journal of Epidemiology|April 12, 2017
Testing for Gene-Environment Interactions Using a Prospective Family Cohort Design: Body Mass Index in Early and Later Adulthood and Risk of Breast CancerGillian S Dite, Robert J MacInnis, Adrian Bickerstaffe, et al.
Breast Cancer Research and Treatment|February 25, 2016
Childhood body mass index and adult mammographic density measures that predict breast cancer riskJohn L Hopper, Tuong L Nguyen, Jennifer Stone, et al.
Clinical Epigenetics|October 23, 2020
Genetic and environmental causes of variation in epigenetic aging across the lifespanShuai Li, Tuong L Nguyen, Ee Ming Wong, et al.
International Journal of Epidemiology|March 25, 2017
Mammographic density defined by higher than conventional brightness thresholds better predicts breast cancer riskTuong L Nguyen, Ye K Aung, Christopher F Evans, et al.
Breast Cancer Research : BCR|March 4, 2005
The androgen receptor CAG repeat polymorphism and modification of breast cancer risk in BRCA1 and BRCA2 mutation carriersAmanda B Spurdle, Antonis C Antoniou, David L Duffy, et al.
International Journal of Cancer|October 15, 2019
Interval breast cancer risk associations with breast density, family history and breast tissue agingTuong L Nguyen, Shuai Li, Gillian S Dite, et al.
American Journal of Human Genetics|October 7, 2022
Segregation analysis of 17,425 population-based breast cancer families: Evidence for genetic susceptibility and risk predictionShuai Li, Robert J MacInnis, Andrew Lee, et al.
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