Core A: Administration will serve as the Coordinating Center for the entire DIAN project. As such, the specific aims of Core A: Administration are as follows: 1. Organize and coordinate activities and communication of the Cores, subcontractors and clinical performance sites toward achieving the stated goals of DIAN, to include administrative, and budgetary support and monitoring, and problem solving on a continuous basis. 2. With the Clinical Core and the Clinical Coordinating Center, delineate protocols;establish, coordinate and monitor participant recruitment and retention. 3. With the Clinical Core, the Clinical Coordinating Center, the Genetics Core and the Informatics Core, organize and monitor data and tissue collection, and storage. 4. With the Steering Committee and subcommittees, establish policies and procedures regarding: protection of research participants;resource (data, images and tissue) sharing, dissemination, an publications;and future expansion of DIAN to include other sites and languages. 5. Organize and support the DIAN Steering Committee and its subcommittees to include arranging meetings, communication and execution of their decisions. 6. Arrange for periodic external review and advice concerning DIAN goals and progress 7. Arrange for and finance genetic counseling and testing services when desired, and participant travel when necessary for participation.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program--Cooperative Agreements (U19)
Project #
5U19AG032438-06
Application #
8600217
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
$410,073
Indirect Cost
$280,879
Name
Washington University
Department
Type
DUNS #
068552207
City
Saint Louis
State
MO
Country
United States
Zip Code
63130
Su, Yi; Flores, Shaney; Hornbeck, Russ C et al. (2018) Utilizing the Centiloid scale in cross-sectional and longitudinal PiB PET studies. Neuroimage Clin 19:406-416
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

Showing the most recent 10 out of 97 publications