The Biostatistics Core (Core C) will bridge the transition from the DIAN database stored and managed by the Informatics Core (Core H) to the analyses of the longitudinal data within, between, and among the various data domains, the latter of which serves as the primary responsibility of the Core. Specifically the Biostatistics Core will: (1) oversee the statistical quality control of data for the study and produce appropriately de-identified and statistically analyzable datasets for distribution/analysis;(2) lead the statistical data analyses and collaborate in report preparation for all Cores and projects, and consult on the design of all projects and on the application of appropriate statistical and methodological techniques;(3) develop and implement appropriate statistical models for longitudinal changes in potential markers and use these models to test the statistical hypotheses about the preclinical changes of AD and about the temporal difference on preclinical changes of AD among various markers, and (4) serve as an advisory group for other researchers interested in using the DIAN database for additional analyses. The Biostatistics core will achieve these specific aims through extensive interactions and collaborations with all other components of DIAN.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program--Cooperative Agreements (U19)
Project #
5U19AG032438-06
Application #
8600219
Study Section
Special Emphasis Panel (ZAG1-ZIJ-1)
Project Start
Project End
2014-06-30
Budget Start
2014-01-01
Budget End
2014-12-31
Support Year
6
Fiscal Year
2014
Total Cost
$21,594
Indirect Cost
$14,897
Name
Washington University
Department
Type
DUNS #
068552207
City
Saint Louis
State
MO
Country
United States
Zip Code
63130
Cruchaga, Carlos; Del-Aguila, Jorge L; Saef, Benjamin et al. (2018) Polygenic risk score of sporadic late-onset Alzheimer's disease reveals a shared architecture with the familial and early-onset forms. Alzheimers Dement 14:205-214
Kinnunen, Kirsi M; Cash, David M; Poole, Teresa et al. (2018) Presymptomatic atrophy in autosomal dominant Alzheimer's disease: A serial magnetic resonance imaging study. Alzheimers Dement 14:43-53
Lee, Seonjoo; Zimmerman, Molly E; Narkhede, Atul et al. (2018) White matter hyperintensities and the mediating role of cerebral amyloid angiopathy in dominantly-inherited Alzheimer's disease. PLoS One 13:e0195838
Oxtoby, Neil P; Young, Alexandra L; Cash, David M et al. (2018) Data-driven models of dominantly-inherited Alzheimer's disease progression. Brain 141:1529-1544
Chhatwal, Jasmeer P; Schultz, Aaron P; Johnson, Keith A et al. (2018) Preferential degradation of cognitive networks differentiates Alzheimer's disease from ageing. Brain 141:1486-1500
Franzmeier, Nicolai; Düzel, Emrah; Jessen, Frank et al. (2018) Left frontal hub connectivity delays cognitive impairment in autosomal-dominant and sporadic Alzheimer's disease. Brain 141:1186-1200
Li, Zeran; Del-Aguila, Jorge L; Dube, Umber et al. (2018) Genetic variants associated with Alzheimer's disease confer different cerebral cortex cell-type population structure. Genome Med 10:43
Wang, Guoqiao; Berry, Scott; Xiong, Chengjie et al. (2018) A novel cognitive disease progression model for clinical trials in autosomal-dominant Alzheimer's disease. Stat Med 37:3047-3055
Vlassenko, Andrei G; Gordon, Brian A; Goyal, Manu S et al. (2018) Aerobic glycolysis and tau deposition in preclinical Alzheimer's disease. Neurobiol Aging 67:95-98
Gordon, Brian A; Blazey, Tyler M; Su, Yi et al. (2018) Spatial patterns of neuroimaging biomarker change in individuals from families with autosomal dominant Alzheimer's disease: a longitudinal study. Lancet Neurol 17:241-250

Showing the most recent 10 out of 97 publications