Cameron B Haas, Hongjie Chen, Tabitha Harrison, Shaoqi Fan, Manuela Gago-Dominguez, Jose E Castelao, Manjeet K Bolla, Qin Wang, Joe Dennis, Kyriaki Michailidou, Alison M Dunning, Douglas F Easton, Antonis C Antoniou, Per Hall, Kamila Czene, Irene L Andrulis, Anna Marie Mulligan, Roger L Milne, Peter A Fasching, Lothar Haeberle, Montserrat Garcia-Closas, Thomas Ahearn, Gretchen L Gierach, Christopher Haiman, Gertraud Maskarinec, Fergus J Couch, Janet E Olson, Esther M John, Geogia Chenevix-Trench, Amy Berrington de Gonzalez, Michael Jones, Jennifer Stone, Rachel Murphy, Kristan J Aronson, Karen J Wernli, Li Hsu, Celine Vachon, Rulla M Tamimi, Sara Lindström
PURPOSE: Mammographic density phenotypes, adjusted for age and body mass index (BMI), are strong predictors of breast cancer risk. BMI is associated with mammographic density measures, but the role of circulating sex hormone concentrations is less clear. We investigated the relationship between BMI, circulating sex hormone concentrations, and mammographic density phenotypes using Mendelian randomization (MR). METHODS: We applied two-sample MR approaches to assess the association between genetically predicted circulating concentrations of sex hormones [estradiol, testosterone, sex hormone-binding globulin (SHBG)], BMI, and mammographic density phenotypes (dense and non-dense area)...
April 24, 2024: Breast Cancer Research and Treatment