The broad objective of the Breast Cancer Family Registry (Breast CFR) is to establish and maintain a hypothesis-driven research infrastructure to provide a broad research agenda in the genetic epidemiology of breast and related cancers that covers a wide spectrum of interdisciplinary and translational projects. The Australian Breast Cancer Family Registry (ABCFR) has recruited 12,593 individuals from 3,091 families (average 4.1 per family). Of these, 8,694 individuals from 1,549 families (average 5.6 per family) were funded by the NIH. Data on deceased relatives or relatives who were unable to participate was collected using a proxy questionnaire for 13,870 relatives of the population-based cases, 8,011 relatives of the population-based controls and 1,750 relatives from the clinic-based families. We have collected 6,023 blood samples;4,071 from 1,865 population-based families (2.2 per family) and 684 from 217 clinic-based families (3.2 per family). A total of 207 mutation carriers (114 BRCAl, 93 BRCA2) have been identified. Consistent with the infrastructure and research agenda in the Collaborative Component, the ABCFR will contribute to maintaining and restructuring the Breast CFR by: conducting a systematic follow-up of all registrants, including probands and male and female relatives;administering the core risk factor questionnaire and updating their personal and family history of cancer;expanding recruitment within carrier families and/or new breast cancer cases identified since baseline;collecting treatment and outcome data to facilitate clinical and translational research;continuing to maintain and expand the biospecimen collection;establishing lymphoblastoid cell lines, extracting DNA and establishing a centralized back-up of biospecimens at Coriell Cell Repositories;performing further BRCAl and BRCA2 mutation testing, including testing for large genomic alterations, maintaining and further developing the ABCFR Informatics Unit;working in collaboration with the new Informatics Support Center (ISC) at the Research Triangle Institute (RTI) to facilitate the use of the ABCFR data for research;contributing to study design, analysis and data management, contributing local expertise to enable collaborative behavioral research to be conducted in Australia and interdigitating with research conducted in other sites;providing an administrative structure to facilitate the future research and infrastructure activities listed above;and traveling to face-to-face meetings to continue the strong collaborative links already established.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01CA069638-15
Application #
7671516
Study Section
Special Emphasis Panel (ZCA1-SRRB-Y (M1))
Program Officer
Schully, Sheri D
Project Start
1995-09-30
Project End
2011-06-30
Budget Start
2009-07-01
Budget End
2010-06-30
Support Year
15
Fiscal Year
2009
Total Cost
$478,577
Indirect Cost
Name
University of Melbourne
Department
Type
DUNS #
753575117
City
Melbourne
State
Country
Australia
Zip Code
3010
Scott, Cameron M; Wong, Ee Ming; Joo, JiHoon Eric et al. (2018) Genome-wide DNA methylation assessment of 'BRCA1-like' early-onset breast cancer: Data from the Australian Breast Cancer Family Registry. Exp Mol Pathol 105:404-410
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
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
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
Southey, Melissa C (see original citation for additional authors) (2016) PALB2, CHEK2 and ATM rare variants and cancer risk: data from COGS. J Med Genet 53:800-811
Guo, Qi; Schmidt, Marjanka K; Kraft, Peter et al. (2015) Identification of novel genetic markers of breast cancer survival. J Natl Cancer Inst 107:
Pirie, Ailith; Guo, Qi; Kraft, Peter et al. (2015) Common germline polymorphisms associated with breast cancer-specific survival. Breast Cancer Res 17:58
Lin, Wei-Yu (see original citation for additional authors) (2015) Identification and characterization of novel associations in the CASP8/ALS2CR12 region on chromosome 2 with breast cancer risk. Hum Mol Genet 24:285-98
Rudolph, Anja; Milne, Roger L; Truong, Thérèse et al. (2015) Investigation of gene-environment interactions between 47 newly identified breast cancer susceptibility loci and environmental risk factors. Int J Cancer 136:E685-96
Khan, Sofia; Greco, Dario; Michailidou, Kyriaki et al. (2014) MicroRNA related polymorphisms and breast cancer risk. PLoS One 9:e109973

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