This study is continuing follow-up of over 9,700 breast cancer families enrolled in the international Breast Cancer Family Registry between 1995 and 2006, including over 3,700 families from the Greater San Francisco Bay Area. The information collected during this follow-up will be used to develop better prediction models for women at high risk of breast cancer to estimate their lifetime risk of breast cancer by incorporating information on family history, genetic data, and lifestyle and other non-genetic risk factors. The study will answer important questions: 1) What is a woman’s risk of breast cancer, given that she has other relatives with breast cancer; 2) Are there modifiable factors that might lower her risk; and 3) What can a woman with breast cancer do to lower her risk of getting a new breast cancer? Better prediction models can be used to tailor more effective prevention strategies in high risk women.
Esther M. John, Ph.D. (Principal Investigator)
Mary Beth Terry, Ph.D. (Columbia University), John Hopper, Ph.D. (University of Melbourne), Alice Whittemore, Ph.D., (Stanford University), Irene Andrulis, Ph.D. (Mount Sinai Hospital, New York), Saundra Buys, M.D. (Huntsman Cancer Center), Mary Daly, M.D., Ph.D. (Fox Chase Cancer Center)
National Cancer Institute