Skip to main navigation Skip to search Skip to main content

Age-specific breast cancer risk by body mass index and familial risk: Prospective family study cohort (ProF-SC)

  • KConFab Investigators
  • , John L. Hopper
  • , Gillian S. Dite
  • , Robert J. MacInnis
  • , Yuyan Liao
  • , Nur Zeinomar
  • , Julia A. Knight
  • , Melissa C. Southey
  • , Roger L. Milne
  • , Wendy K. Chung
  • , Graham G. Giles
  • , Jeanine Genkinger
  • , Sue Anne McLachlan
  • , Michael L. Friedlander
  • , Antonis C. Antoniou
  • , Prue C. Weideman
  • , Gord Glendon
  • , Stephanie Nesci
  • , Irene L. Andrulis
  • , Saundra S. Buys
  • Mary Daly, Esther M. John, Kelly Anne Phillips, Mary Beth Terry
  • University of Melbourne
  • Cancer Council Victoria
  • Columbia University
  • Sinai Health System
  • University of Toronto
  • Monash University
  • St. Vincent's Hospital Melbourne
  • University of New South Wales
  • Prince of Wales Hospital
  • University of Cambridge
  • Peter Maccallum Cancer Centre
  • University of Utah
  • Fox Chase Cancer Center
  • Stanford University
  • Centre for MEGA Epidemiology
  • Vanderbilt University
  • University of Copenhagen
  • National Institutes of Health
  • Breast Cancer Family Registry
  • Seoul National University
  • Centre for Molecular, Environmental, Genetic and Analytic Epidemiology
  • Genetic Technologies Limited
  • Rutgers - The State University of New Jersey, New Brunswick
  • Fred A. Litwin Center for Cancer Genetics
  • Icahn School of Medicine at Mount Sinai
  • Royal Marsden Hospital
  • Cancer Care Ontario
  • Monash Health
  • Helsinki University Hospital
  • International Agency for Research on Cancer
  • Early Detection Laboratory
  • Biomedical Network on Rare Diseases (CIBERER)
  • Spanish National Cancer Research Centre (CNIO)
  • University of Oxford
  • New York Presbyterian Hospital
  • Herbert Irving Comprehensive Cancer Center
  • Cancer Council
  • Université Laval
  • PeterMacCallum Cancer Centre
  • Centre for Cancer Genetic Epidemiology
  • Cancer Research UK Program
  • German Cancer Research Center
  • University of Texas MD Anderson Cancer Center
  • Consortium for Genomic Technologies
  • Departments of Molecular Genetics and Laboratory Medicine
  • Division of Oncology
  • University of Sheffield
  • University of Chicago
  • Departments of Internal Medicine
  • Cancer Prevention Institute of California
  • National Institute of Oncology
  • Memorial Sloan-Kettering Cancer Center
  • Kathleen Cuningham Consortium for Research into Familial Breast Cancer
  • Research Department

Research output: Contribution to journalArticlepeer-review

71 Scopus citations

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 pedigree data using the Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA), all measured at baseline. Results: The strength and direction of the BMI risk association depended on baseline menopausal status (P < 0.001); after adjusting for menopausal status, the association did not depend on age at baseline (P = 0.6). In terms of absolute risk, the negative association with BMI for premenopausal women has a much smaller influence than the positive association with BMI for postmenopausal women. Women at higher familial risk have a much larger difference in absolute risk depending on their BMI than women at lower familial risk. Conclusions: The greater a woman's familial risk, the greater the influence of BMI on her absolute postmenopausal breast cancer risk. Given that age-adjusted BMI is correlated across adulthood, maintaining a healthy weight throughout adult life is particularly important for women with a family history of breast cancer.

Original languageEnglish
Article number132
Pages (from-to)132
JournalBreast Cancer Research
Volume20
Issue number1
DOIs
StatePublished - Nov 3 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Adult
  • Age Factors
  • Aged
  • Australia/epidemiology
  • Body Mass Index
  • Breast Neoplasms/epidemiology
  • Canada/epidemiology
  • Female
  • Follow-Up Studies
  • Humans
  • Incidence
  • Medical History Taking/statistics & numerical data
  • Middle Aged
  • New Zealand/epidemiology
  • Postmenopause
  • Premenopause
  • Prospective Studies
  • Registries/statistics & numerical data
  • Risk Factors
  • United States/epidemiology
  • Young Adult

Fingerprint

Dive into the research topics of 'Age-specific breast cancer risk by body mass index and familial risk: Prospective family study cohort (ProF-SC)'. Together they form a unique fingerprint.

Cite this