The Data Management and Biostatistics Core (DMBC) will serve as a resource and collaborator for all projects and cores related to this program project. Specifically the DMBC will: (1) consult on the design of all projects and in the application of appropriate statistical and methodological techniques;(2) lead and collaborate in data analysis and report preparation for all cores and projects, especially in the analysis of associations among longitudinal growth/decline patterns of all disease markers across the individual projects;(3) coordinate and implement participant scheduling program across all projects and cores;(4) continue our collaboration with the WU Center for Biomedical Informatics (CBMI) to complete the transition to our bioinformatics platforms, make data collected by ACS cores and projects available to all ACS investigators, and insure the quality control of all analysis data sets for publications;(5) collaborate in the design of all forms to be used;(6) develop, apply, and implement statistical data analysis techniques appropriate for addressing the scientific aims of the program project.

Public Health Relevance

The Data Management and Biostafistics Core (DMBC) provides design, analyses, and data management resources to support all the ACS projects and cores. The relevance of the DMBC is that ACS addresses crucial public health questions to identify the eariiest possible biomarker changes for Alzheimer's disease and dementia so that prevention and/or treatment can be started early.

National Institute of Health (NIH)
National Institute on Aging (NIA)
Research Program Projects (P01)
Project #
Application #
Study Section
National Institute on Aging Initial Review Group (NIA)
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
Washington University
Saint Louis
United States
Zip Code
Su, Yi; Blazey, Tyler M; Snyder, Abraham Z et al. (2015) Partial volume correction in quantitative amyloid imaging. Neuroimage 107:55-64
Yap, Melvin J; Sibley, Daragh E; Balota, David A et al. (2015) Responding to nonwords in the lexical decision task: Insights from the English Lexicon Project. J Exp Psychol Learn Mem Cogn 41:597-613
Aschenbrenner, Andrew J; Balota, David A; Tse, Chi-Shing et al. (2015) Alzheimer disease biomarkers, attentional control, and semantic memory retrieval: Synergistic and mediational effects of biomarkers on a sensitive cognitive measure in non-demented older adults. Neuropsychology 29:368-81
Harari, Oscar; Cruchaga, Carlos; Kauwe, John S K et al. (2014) Phosphorylated tau-A?42 ratio as a continuous trait for biomarker discovery for early-stage Alzheimer's disease in multiplex immunoassay panels of cerebrospinal fluid. Biol Psychiatry 75:723-31
Jin, Sheng Chih; Benitez, Bruno A; Karch, Celeste M et al. (2014) Coding variants in TREM2 increase risk for Alzheimer's disease. Hum Mol Genet 23:5838-46
Ringman, John M; Goate, Alison; Masters, Colin L et al. (2014) Genetic heterogeneity in Alzheimer disease and implications for treatment strategies. Curr Neurol Neurosci Rep 14:499
Thomas, Jewell B; Brier, Matthew R; Bateman, Randall J et al. (2014) Functional connectivity in autosomal dominant and late-onset Alzheimer disease. JAMA Neurol 71:1111-22
Benitez, Bruno A; Jin, Sheng Chih; Guerreiro, Rita et al. (2014) Missense variant in TREML2 protects against Alzheimer's disease. Neurobiol Aging 35:1510.e19-26
Fagan, Anne M; Xiong, Chengjie; Jasielec, Mateusz S et al. (2014) Longitudinal change in CSF biomarkers in autosomal-dominant Alzheimer's disease. Sci Transl Med 6:226ra30
Brier, Matthew R; Thomas, Jewell B; Fagan, Anne M et al. (2014) Functional connectivity and graph theory in preclinical Alzheimer's disease. Neurobiol Aging 35:757-68

Showing the most recent 10 out of 117 publications