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Breast Cancer Susceptibility Loci And Mammographic Density, Rulla M. Tamimi, David Cox, Peter Kraft, Graham A. Colditz, Susan E. Hankinson, David J. Hunter
Breast Cancer Susceptibility Loci And Mammographic Density, Rulla M. Tamimi, David Cox, Peter Kraft, Graham A. Colditz, Susan E. Hankinson, David J. Hunter
Susan E. Hankinson
Introduction Recently, the Breast Cancer Association Consortium (BCAC) conducted a multi-stage genome-wide association study and identified 11 single nucleotide polymorphisms (SNPs) associated with breast cancer risk. Given the high degree of heritability of mammographic density and its strong association with breast cancer, it was hypothesised that breast cancer susceptibility loci may also be associated with breast density and provide insight into the biology of breast density and how it influences breast cancer risk. Methods We conducted an analysis in the Nurses' Health Study (n = 1121) to assess the relation between 11 breast cancer susceptibility loci and mammographic density. At …
Risk Prediction Models With Incomplete Data With Application To Prediction Of Estrogen Receptor-Positive Breast Cancer: Prospective Data From The Nurses' Health Study, Bernard Rosner, Graham A. Colditz, J. Dirk Iglehart, Susan E. Hankinson
Risk Prediction Models With Incomplete Data With Application To Prediction Of Estrogen Receptor-Positive Breast Cancer: Prospective Data From The Nurses' Health Study, Bernard Rosner, Graham A. Colditz, J. Dirk Iglehart, Susan E. Hankinson
Susan E. Hankinson
Introduction A number of breast cancer risk prediction models have been developed to provide insight into a woman's individual breast cancer risk. Although circulating levels of estradiol in postmenopausal women predict subsequent breast cancer risk, whether the addition of estradiol levels adds significantly to a model's predictive power has not previously been evaluated. Methods Using linear regression, the authors developed an imputed estradiol score using measured estradiol levels (the outcome) and both case status and risk factor data (for example, body mass index) from a nested case-control study conducted within a large prospective cohort study and used multiple imputation methods …