The goal of the Analytic and Informatics Core (AIC) is to work with each SPORE research project and the Biospecimen, Pathology and Genotyping Core to provide an integrated data management system to facilitate communication among all projects and cores and to serve as a resource for design of basic science experiments and clinical trials, development of innovative statistical methodology, statistical analysis and publishing translational research generated through the Breast SPORE program. The AIC of this SPORE will be integrated with the Cancer Center Biostatistics Core Facility and the Bioinformatics Core of the University for ease of administration, to avoid duplication of existing infrastructure and to take advantage of existing expertise. The Analytic and Informatics Core will incorporate sound experimental design principles within each project to enhance interpretability of study results, will carry out data analyses using appropriate statistical methodology, and will contribute to interpretation of results through written reports and frequent interaction with project investigators. To serve all proposed SPORE Projects, as well as the Career Development and Developmental Research Programs, the AIC has the following objectives: 1) Complete the development of SPORE databases, including development of systems to enhance the accuracy and completeness of project data and facilitate the sharing of data and results among SPORE investigators. The systems will link clinical, tissue, and laboratory data in a relational schema and include a web application interface to allow researchers to access databases, perform queries and edit checks, and export the data for statistical analysis;2) Provide statistical and statistical genetic expertise in designing and conducting laboratory experiments, clinical trials, and genetic and epidemiologic studies arising from the research proposed in this application;3) Perform statistical and statistical genetic analyses and assist in the interpretation of study findings, summarization of results, and preparation of manuscripts for publication;4) Conduct methodological research to provide research infrastructure for SPORE projects. Among the first of the methodological research projects on which the informatics and analysis groups will collaborate is the extension of HapMap information to members of CEPH pedigrees not included in the HapMap through use of linkage mapping information on all pedigree members. This research project will substantially improve the power and resolution of studies proposed in Project 4, as well as provide a public resource that can be used by other investigators with phenotype information on CEPH cell lines;5) Collaborate and assist all project investigators with the publication of scientific results.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
5P50CA125183-05
Application #
8137165
Study Section
Special Emphasis Panel (ZCA1)
Project Start
Project End
2013-07-31
Budget Start
2010-08-01
Budget End
2011-07-31
Support Year
5
Fiscal Year
2010
Total Cost
$377,032
Indirect Cost
Name
University of Chicago
Department
Type
DUNS #
005421136
City
Chicago
State
IL
Country
United States
Zip Code
60637
Guindalini, Rodrigo Santa; Zheng, Yonglan; Abe, Hiroyuki et al. (2018) Intensive surveillance with bi-annual dynamic contrast-enhanced magnetic resonance imaging downstages breast cancer in BRCA1 mutation carriers. Clin Cancer Res :
Rebbeck, Timothy R (see original citation for additional authors) (2018) Mutational spectrum in a worldwide study of 29,700 families with BRCA1 or BRCA2 mutations. Hum Mutat 39:593-620
Zheng, Yonglan; Walsh, Tom; Gulsuner, Suleyman et al. (2018) Inherited Breast Cancer in Nigerian Women. J Clin Oncol 36:2820-2825
Wang, Shengfeng; Ogundiran, Temidayo; Ademola, Adeyinka et al. (2018) Development of a Breast Cancer Risk Prediction Model for Women in Nigeria. Cancer Epidemiol Biomarkers Prev 27:636-643
Debiasi, Márcio; Polanczyk, Carisi A; Ziegelmann, Patrícia et al. (2018) Efficacy of Anti-HER2 Agents in Combination With Adjuvant or Neoadjuvant Chemotherapy for Early and Locally Advanced HER2-Positive Breast Cancer Patients: A Network Meta-Analysis. Front Oncol 8:156
Feng, Ye; Rhie, Suhn Kyong; Huo, Dezheng et al. (2017) Characterizing Genetic Susceptibility to Breast Cancer in Women of African Ancestry. Cancer Epidemiol Biomarkers Prev 26:1016-1026
Hamdi, Yosr; Soucy, Penny; Kuchenbaeker, Karoline B et al. (2017) Association of breast cancer risk in BRCA1 and BRCA2 mutation carriers with genetic variants showing differential allelic expression: identification of a modifier of breast cancer risk at locus 11q22.3. Breast Cancer Res Treat 161:117-134
Michailidou, Kyriaki (see original citation for additional authors) (2017) Association analysis identifies 65 new breast cancer risk loci. Nature 551:92-94
Rudin, Shoshana; Marable, Marcus; Huang, R Stephanie (2017) The Promise of Pharmacogenomics in Reducing Toxicity During Acute Lymphoblastic Leukemia Maintenance Treatment. Genomics Proteomics Bioinformatics 15:82-93
Geeleher, Paul; Huang, R Stephanie (2017) Exploring the Link between the Germline and Somatic Genome in Cancer. Cancer Discov 7:354-355

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