Journal article
Age-specific breast cancer risk by body mass index and familial risk: Prospective family study cohort (ProF-SC)
JL Hopper, GS Dite, RJ MacInnis, Y Liao, N Zeinomar, JA Knight, MC Southey, RL Milne, WK Chung, GG Giles, JM Genkinger, SA McLachlan, ML Friedlander, AC Antoniou, PC Weideman, G Glendon, S Nesci, IL Andrulis, SS Buys, MB Daly Show all
Breast Cancer Research | Published : 2018
Abstract
Background: The association between body mass index (BMI) and risk of breast cancer depends on time of life, but it is unknown whether this association depends on a woman's familial risk. Methods: We conducted a prospective study of a cohort enriched for familial risk consisting of 16,035 women from 6701 families in the Breast Cancer Family Registry and the Kathleen Cunningham Foundation Consortium for Research into Familial Breast Cancer followed for up to 20 years (mean 10.5 years). There were 896 incident breast cancers (mean age at diagnosis 55.7 years). We used Cox regression to model BMI risk associations as a function of menopausal status, age, and underlying familial risk based on pe..
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Awarded by National Institutes of Health
Funding Acknowledgements
This work was supported by the National Institute of Health USA. (grant number 1RO1CA159868). The ABCFR was supported in Australia by the National Health and Medical Research Council, the New South Wales Cancer Council, the Victorian Health Promotion Foundation, the Victorian Breast Cancer Research Consortium, Cancer Australia, and the National Breast Cancer Foundation. The six sites of the Breast Cancer Family Registry (BCFR) were supported by grant UM1 CA164920 from the USA National Cancer Institute. The content of this manuscript does not necessarily reflect the views or policies of the National Cancer Institute or any of the collaborating centers in the BCFR, nor does mention of trade names, commercial products, or organizations imply endorsement by the USA Government or the BCFR. This work was supported by grants to kConFab and the kConFab follow-up study from Cancer Australia (grant number 809195), the Australian National Breast Cancer Foundation (grant number IF 17 kConFab), the National Health and Medical Research Council (grant numbers 454508, 288704, 145684), the National Institute of Health USA (grant number 1RO1CA159868), the Queensland Cancer Fund, the Cancer Councils of New South Wales, Victoria, Tasmania and South Australia, and the Cancer Foundation of Western Australia (grant numbers not applicable). KAP is a National Breast Cancer Foundation (Australia) Practitioner Fellow (grant number PRAC-17-004). ACA is supported by Cancer Research (UK grant C12292/A20861).