The mission of the Wisconsin Alzheimer's Disease Research Center (ADRC) Data Management and Biostatistics Core (Core C) is to promote excellence by providing outstanding data management, biomedical computing, and biostatistical support to Wisconsin ADRC investigators and affiliates. To accomplish this objective, Core C has the following specific aims:
Specific Aim 1 : To provide and maintain quality protocol and data management for projects affiliated with the Wisconsin ADRC;
Specific Aim 2 : To provide a biomedical computing infrastructure and services for projects affiliated with the Wisconsin ADRC;
Specific Aim 3 : To provide comprehensive statistical support (including study design, implementation, data analysis, and methodology development) to all projects associated with the Wisconsin ADRC;
Specific Aim 4 : To work with the NACC to create a smooth and efficient exchange of data and to collaborate with other ADRCs, ADCCs, and AD researchers;
Specific Aim 5 : To interface effectively with each of the other Wisconsin ADRC Cores to provide comprehensive, high-quality support to achieve the overall mission of the ADRC. The proposed specific aims will utilize and solidify existing resources to ensure an effective ADRC that will support cutting-edge clinical, basic, and translational research on a cohort at risk for AD (i.e., WRAP), as well as those with MCI, AD and related neurodegenerative disorders. These resources include extensive existing collaborations, financial commitments, data sources and acknowledged excellence in data management, an existing state-wide network, advanced informatics capabilities, and acknowledged expertise in biostatistics and informatics

Public Health Relevance

The Data Management and Biostatistics Core will provide critical support for the Wisconsin ADRC to accomplish its objectives targeting one of the most common and devastating neurodegenerative illnesses known to afflict humans. Given the projected exponential increase in the number of Americans likely to be affected by AD, it is pivotal that novel treatment and prevention strategies be identified. The Wisconsin ADRC will help accomplish this national priority.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Specialized Center (P50)
Project #
3P50AG033514-04S1
Application #
8449641
Study Section
Special Emphasis Panel (ZAG1-ZIJ-4)
Project Start
Project End
2014-03-31
Budget Start
2012-04-01
Budget End
2013-03-31
Support Year
4
Fiscal Year
2012
Total Cost
$17,394
Indirect Cost
$5,681
Name
University of Wisconsin Madison
Department
Type
DUNS #
161202122
City
Madison
State
WI
Country
United States
Zip Code
53715
Melah, Kelsey E; Lu, Sharon Yuan-Fu; Hoscheidt, Siobhan M et al. (2016) Cerebrospinal Fluid Markers of Alzheimer's Disease Pathology and Microglial Activation are Associated with Altered White Matter Microstructure in Asymptomatic Adults at Risk for Alzheimer's Disease. J Alzheimers Dis 50:873-86
Ebbert, Mark T W; Boehme, Kevin L; Wadsworth, Mark E et al. (2016) Interaction between variants in CLU and MS4A4E modulates Alzheimer's disease risk. Alzheimers Dement 12:121-9
Mez, Jesse; Mukherjee, Shubhabrata; Thornton, Timothy et al. (2016) The executive prominent/memory prominent spectrum in Alzheimer's disease is highly heritable. Neurobiol Aging 41:115-21
Rivera-Rivera, Leonardo A; Turski, Patrick; Johnson, Kevin M et al. (2016) 4D flow MRI for intracranial hemodynamics assessment in Alzheimer's disease. J Cereb Blood Flow Metab 36:1718-1730
Mukherjee, Jogeshwar; Bajwa, Alisha K; Wooten, Dustin W et al. (2016) Comparative assessment of (18) F-Mefway as a serotonin 5-HT1A receptor PET imaging agent across species: Rodents, nonhuman primates, and humans. J Comp Neurol 524:1457-71
Betthauser, Tobey; Lao, Patrick J; Murali, Dhanabalan et al. (2016) In vivo comparison of tau radioligands 18F-THK-5351 and 18F-THK-5317. J Nucl Med :
Gordon, Jeremy W; Niles, David J; Adamson, Erin B et al. (2016) Application of flow sensitive gradients for improved measures of metabolism using hyperpolarized (13) c MRI. Magn Reson Med 75:1242-8
Kim, Won Hwa; Hwang, Seong Jae; Adluru, Nagesh et al. (2016) Adaptive Signal Recovery on Graphs via Harmonic Analysis for Experimental Design in Neuroimaging. Comput Vis ECCV 9910:188-205
Martin, Stephen A; DeMuth, Tyler M; Miller, Karl N et al. (2016) Regional metabolic heterogeneity of the hippocampus is nonuniformly impacted by age and caloric restriction. Aging Cell 15:100-10
White, Matthew T; Shaw, Leslie M; Xie, Sharon X et al. (2016) Evaluation of Cerebrospinal Fluid Assay Variability in Alzheimer's Disease. J Alzheimers Dis 51:463-70

Showing the most recent 10 out of 211 publications