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Åke Borg

Åke Borg

Principal investigator

Åke Borg

The BOADICEA model of genetic susceptibility to breast and ovarian cancers: updates and extensions


  • A. C. Antoniou
  • A. P. Cunningham
  • J. Peto
  • D. G. Evans
  • F. Lalloo
  • S. A. Narod
  • H. A. Risch
  • J. E. Eyfjord
  • J. L. Hopper
  • M. C. Southey
  • Håkan Olsson
  • O Johannsson
  • Åke Borg
  • B. Passini
  • P. Radice
  • S. Manoukian
  • D. M. Eccles
  • N. Tang
  • E. Olah
  • H. Anton-Culver
  • E. Warner
  • J. Lubinski
  • J. Gronwald
  • B. Gorski
  • L. Tryggvadottir
  • K. Syrjakoski
  • O-P Kallioniemi
  • H. Eerola
  • H. Nevanlinna
  • P. D. P. Pharoah
  • D. F. Easton

Summary, in English

Multiple genetic loci confer susceptibility to breast and ovarian cancers. We have previously developed a model (BOADICEA) under which susceptibility to breast cancer is explained by mutations in BRCA1 and BRCA2, as well as by the joint multiplicative effects of many genes ( polygenic component). We have now updated BOADICEA using additional family data from two UK population-based studies of breast cancer and family data from BRCA1 and BRCA2 carriers identified by 22 population-based studies of breast or ovarian cancer. The combined data set includes 2785 families ( 301 BRCA1 positive and 236 BRCA2 positive). Incidences were smoothed using locally weighted regression techniques to avoid large variations between adjacent intervals. A birth cohort effect on the cancer risks was implemented, whereby each individual was assumed to develop cancer according to calendar period-specific incidences. The fitted model predicts that the average breast cancer risks in carriers increase in more recent birth cohorts. For example, the average cumulative breast cancer risk to age 70 years among BRCA1 carriers is 50% for women born in 1920 - 1929 and 58% among women born after 1950. The model was further extended to take into account the risks of male breast, prostate and pancreatic cancer, and to allow for the risk of multiple cancers. BOADICEA can be used to predict carrier probabilities and cancer risks to individuals with any family history, and has been implemented in userfriendly Web-based program( html).


  • Breastcancer-genetics

Publishing year







British Journal of Cancer





Document type

Journal article


Nature Publishing Group


  • Cancer and Oncology


  • cancer risk model
  • BRCA1
  • BRCA2
  • genetic testing




  • ISSN: 1532-1827