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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|Espinal, Allyson C; Buas, Matthew F; Wang, Dan et al. (2017) FOXA1 hypermethylation: link between parity and ER-negative breast cancer in African American women? Breast Cancer Res Treat 166:559-568|
|Charlot, Marjory; Castro-Webb, Nelsy; Bethea, Traci N et al. (2017) Diabetes and breast cancer mortality in Black women. Cancer Causes Control 28:61-67|
|Roberts, Michelle R; Sucheston-Campbell, Lara E; Zirpoli, Gary R et al. (2017) Single nucleotide variants in metastasis-related genes are associated with breast cancer risk, by lymph node involvement and estrogen receptor status, in women with European and African ancestry. Mol Carcinog 56:1000-1009|
|Khoury, Thaer; Zirpoli, Gary; Cohen, Stephanie M et al. (2017) Ki-67 Expression in Breast Cancer Tissue Microarrays: Assessing Tumor Heterogeneity, Concordance With Full Section, and Scoring Methods. Am J Clin Pathol 148:108-118|
|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|
|Bertrand, Kimberly A; Bethea, Traci N; Adams-Campbell, Lucile L et al. (2017) Differential Patterns of Risk Factors for Early-Onset Breast Cancer by ER Status in African American Women. Cancer Epidemiol Biomarkers Prev 26:270-277|
|Williams, Lindsay A; Olshan, Andrew F; Hong, Chi-Chen et al. (2017) Alcohol Intake and Breast Cancer Risk in African American Women from the AMBER Consortium. Cancer Epidemiol Biomarkers Prev 26:787-794|
|Allott, Emma H; Cohen, Stephanie M; Geradts, Joseph et al. (2016) Performance of Three-Biomarker Immunohistochemistry for Intrinsic Breast Cancer Subtyping in the AMBER Consortium. Cancer Epidemiol Biomarkers Prev 25:470-8|
|Yao, Song; Haddad, Stephen A; Hu, Qiang et al. (2016) Genetic variations in vitamin D-related pathways and breast cancer risk in African American women in the AMBER consortium. Int J Cancer 138:2118-26|
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