The major strength of the Utah site of the Breast Cancer Family Registry (B-CFR) is the cost-effective enrollment of multiple members of families who are at the highest risk for breast cancer because they have mutations in breast cancer predisposition genes. In addition, we have close and regular clinical contact with members of these families through provision of clinical oncology and genetic counseling services by key personnel of the Utah B-CFR. Each of the major research themes of the restructured B-CFR genetic factors associated with breast cancer risk, environmental modifiers of risk, translational and clinical studies, and behavioral response to familial breast cancer will either be enhanced by the enrollment of additional mutation carriers or will be possible primarily because of the therapeutic relationship between the investigators and subjects who will be willing to enroll in studies of screening, prevention, treatment and behavioral/psychosocial issues. In the past 10 years Utah has enrolled about 4 percent of the total subjects accrued to the B-CFR. At the same time, Utah has contributed nearly 24 percent of the total number of the BRCA1 and BRCA2 mutation carriers, most of whom have mutations other than those seen in the Ashkenazi population. Fifty percent of our subjects enrolled in the past 5 years have been mutation carriers. We propose to continue to enroll and collect data and biospecimens from additional subjects and families with germline mutations in BRCA1 and BRCA2. We will also provide leadership for the Clinical/Translational Working Group to identify studies that will assist our understanding of 1) the screening methods that best recognize cancer in BRCA1 or BRCA2 mutation carriers and other high-risk subjects, and 2) the outcomes associated with various treatments and preventive methods. These activities will facilitate the translation of genetic epidemiology into improved medical care for B-CFR participants and breast cancer patients in general.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project--Cooperative Agreements (U01)
Project #
3U01CA069446-11S1
Application #
7156002
Study Section
Special Emphasis Panel (ZCA1)
Program Officer
Seminara, Daniela
Project Start
1995-09-30
Project End
2006-06-30
Budget Start
2004-12-01
Budget End
2006-06-30
Support Year
11
Fiscal Year
2006
Total Cost
$367,606
Indirect Cost
Name
University of Utah
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
009095365
City
Salt Lake City
State
UT
Country
United States
Zip Code
84112
Dite, Gillian S; MacInnis, Robert J; Bickerstaffe, Adrian et al. (2017) Testing for Gene-Environment Interactions Using a Prospective Family Cohort Design: Body Mass Index in Early and Later Adulthood and Risk of Breast Cancer. Am J Epidemiol 185:487-500
Dite, Gillian S; MacInnis, Robert J; Bickerstaffe, Adrian et al. (2016) Breast Cancer Risk Prediction Using Clinical Models and 77 Independent Risk-Associated SNPs for Women Aged Under 50 Years: Australian Breast Cancer Family Registry. Cancer Epidemiol Biomarkers Prev 25:359-65
Piccolo, Stephen R; Hoffman, Laura M; Conner, Thomas et al. (2016) Integrative analyses reveal signaling pathways underlying familial breast cancer susceptibility. Mol Syst Biol 12:860
Piccolo, Stephen R; Andrulis, Irene L; Cohen, Adam L et al. (2015) Gene-expression patterns in peripheral blood classify familial breast cancer susceptibility. BMC Med Genomics 8:72
Antoniou, Antonis C; Casadei, Silvia; Heikkinen, Tuomas et al. (2014) Breast-cancer risk in families with mutations in PALB2. N Engl J Med 371:497-506
Ferris, J S; Daly, M B; Buys, S S et al. (2014) Oral contraceptive and reproductive risk factors for ovarian cancer within sisters in the breast cancer family registry. Br J Cancer 110:1074-80
Dite, Gillian S; Mahmoodi, Maryam; Bickerstaffe, Adrian et al. (2013) Using SNP genotypes to improve the discrimination of a simple breast cancer risk prediction model. Breast Cancer Res Treat 139:887-96
Gracia-Aznarez, Francisco Javier; Fernandez, Victoria; Pita, Guillermo et al. (2013) Whole exome sequencing suggests much of non-BRCA1/BRCA2 familial breast cancer is due to moderate and low penetrance susceptibility alleles. PLoS One 8:e55681
Gaudet, Mia M; Kuchenbaecker, Karoline B; Vijai, Joseph et al. (2013) Identification of a BRCA2-specific modifier locus at 6p24 related to breast cancer risk. PLoS Genet 9:e1003173
Mocci, Evelina; Milne, Roger L; Méndez-Villamil, Elena Yuste et al. (2013) Risk of pancreatic cancer in breast cancer families from the breast cancer family registry. Cancer Epidemiol Biomarkers Prev 22:803-11

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