The objective of this UM1 application is to maintain and enhance the core infrastructure of the Breast Cancer Family Registry (BCFR), an international resource of multi-generational families established for interdisciplinary collaboratie research on breast cancer. The BCFR Cohort, established in 1995 at 6 sites is comprised of 34,000 individuals from 11,900 families who provided data on family history and epidemiologic risk factors as well as bio specimens. Over the next five years, the BCFR investigator team will continue 1) to actively follow the family cohort using common instruments and protocols, update the cancer family histories to identify new breast and other cancers in the families, and administer a follow-up questionnaire to update baseline epidemiologic data; 2) to maintain the extensive data and bio specimen resources and enhance them by conducting pathology review for all new breast cancers ascertained since baseline, completing molecular sub typing of tumors, and completing genotyping of known common breast cancer susceptibility variants; 3) to collect new data on screening, uptake of risk reductive and preventive health behaviors, knowledge of genetic disease, and uptake of genetic testing and communication to family members that will facilitate the translation of findings into clinical practice; and 4) to continue and expand collaborations with external investigators by sharing of BCFR data and bio specimen resources for a wide range of studies of gene discovery, cancer-related outcomes, risk factors in high-risk individuals, behavioral interventions and cancer prevention trials among at-risk family members. The BCFR Cohort is unique in that it is family-based and the first large prospective study of breast cancer risk for women at a continuum of risk. In addition to the unaffected cohort, the BCFR has one of the largest affected cohorts and will therefore provide a powerful resource for translational and clinical studies of recurrences, second primaries and survival.
The Breast Cancer Family Registry (BCFR) is a unique international collection of breast cancer families with extensive data and biospecimen resources. Through collaborative research, the BCFR will continue to provide important new scientific insights in the genetic, molecular, epidemiologic, clinical, and translational aspects of familial breast cancer.
|Milne, Roger L (see original citation for additional authors) (2017) Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer. Nat Genet 49:1767-1778|
|Muranen, Taru A; Greco, Dario; Blomqvist, Carl et al. (2017) Genetic modifiers of CHEK2*1100delC-associated breast cancer risk. Genet Med 19:599-603|
|Krishnan, Kavitha; Baglietto, Laura; Stone, Jennifer et al. (2017) Longitudinal Study of Mammographic Density Measures That Predict Breast Cancer Risk. Cancer Epidemiol Biomarkers Prev 26:651-660|
|Zhang, Fang Fang; Haslam, Danielle E; Terry, Mary Beth et al. (2017) Dietary isoflavone intake and all-cause mortality in breast cancer survivors: The Breast Cancer Family Registry. Cancer 123:2070-2079|
|Scannell Bryan, Molly; Argos, Maria; Andrulis, Irene L et al. (2017) Limited influence of germline genetic variation on all-cause mortality in women with early onset breast cancer: evidence from gene-based tests, single-marker regression, and whole-genome prediction. Breast Cancer Res Treat 164:707-717|
|Lecarpentier, Julie; Silvestri, Valentina; Kuchenbaecker, Karoline B et al. (2017) Prediction of Breast and Prostate Cancer Risks in Male BRCA1 and BRCA2 Mutation Carriers Using Polygenic Risk Scores. J Clin Oncol 35:2240-2250|
|Wu, Hui-Chen; Southey, Melissa C; Hibshoosh, Hanina et al. (2017) DNA Methylation in Breast Tumor from High-risk Women in the Breast Cancer Family Registry. Anticancer Res 37:659-664|
|Barrdahl, Myrto; Rudolph, Anja; Hopper, John L et al. (2017) Gene-environment interactions involving functional variants: Results from the Breast Cancer Association Consortium. Int J Cancer 141:1830-1840|
|Li, Hongyan; Feng, Bingjian; Miron, Alexander et al. (2017) Breast cancer risk prediction using a polygenic risk score in the familial setting: a prospective study from the Breast Cancer Family Registry and kConFab. Genet Med 19:30-35|
|Walker, Logan C; Pearson, John F; Wiggins, George A R et al. (2017) Increased genomic burden of germline copy number variants is associated with early onset breast cancer: Australian breast cancer family registry. Breast Cancer Res 19:30|
Showing the most recent 10 out of 111 publications