The Biostatistics and Data management Core, Core D, will support all phases of data management and analyses in this P01 project. It will create and manage both old and new genetic, pathologic, and questionnaire data from the four participating studies. It will develop and maintain procedures for preparing and distributing datasets across studies using secure methods. It will collaborate with Cores B and C and Project Leaders in study design and sampling schemes for the various Projects. It will provide methodologic and analytic expertise to project investigators including study design, conduct of data analytic plans, bioinformatics analyses, and interpretation of statistical results. The Core will be responsible for data harmonization so that all investigators are using the same variable definitions. The Core will carry out many of the data analyses and has state-of-the-art hardware and software for doing so. The Core will collaborate closely with postdoctoral fellows and investigators on the individual Projects. The Leader of the Core and other Core investigators have expertise in genetics research and have had extensive experience in managing and analyzing the data of large multicenter studies. The activities of the Core will maintain high standards for data collection and analysis, maintain the integrity of the data, achieve consistency across the studies, and increase the productivity of Project investigators.
This Program Project is designed to identify causes of aggressive breast cancer in AA women. The results have the potential to lead to improved prevention and treatment. Core D will contribute to the efficiency, productivity, and quality of the Projects by supporting all phases of data management and analyses, maintaining high standards for data collection and analysis, and assuring consistency across studies and analyses.
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|Ruiz-NarvÃ¡ez, Edward A; Haddad, Stephen A; Lunetta, Kathryn L et al. (2016) Gene-based analysis of the fibroblast growth factor receptor signaling pathway in relation to breast cancer in African American women: the AMBER consortium. Breast Cancer Res Treat 155:355-63|
|Palmer, Julie R; Gerlovin, Hanna; Bethea, Traci N et al. (2016) Predicted 25-hydroxyvitamin D in relation to incidence of breast cancer in a large cohort of African American women. Breast Cancer Res 18:86|
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|Rosenberg, Lynn; Bethea, Traci N; Viscidi, Emma et al. (2016) Postmenopausal Female Hormone Use and Estrogen Receptor-Positive and -Negative Breast Cancer in African American Women. J Natl Cancer Inst 108:|
|Chollet-Hinton, Lynn; Anders, Carey K; Tse, Chiu-Kit et al. (2016) Breast cancer biologic and etiologic heterogeneity by young age and menopausal status in the Carolina Breast Cancer Study: a case-control study. Breast Cancer Res 18:79|
|Allott, Emma H; Geradts, Joseph; Sun, Xuezheng et al. (2016) Intratumoral heterogeneity as a source of discordance in breast cancer biomarker classification. Breast Cancer Res 18:68|
|Cheng, Ting-Yuan David; Ambrosone, Christine B; Hong, Chi-Chen et al. (2016) Genetic variants in the mTOR pathway and breast cancer risk in African American women. Carcinogenesis 37:49-55|
|Cheng, Ting-Yuan David; Shankar, Jyoti; Zirpoli, Gary et al. (2016) Genetic variants in the mTOR pathway and interaction with body size and weight gain on breast cancer risk in African-American and European American women. Cancer Causes Control 27:965-76|
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