The Data Management and Statistics Core (DMSC) provides comprehensive data management, high quality statistical, experimental design support and neuroimaging processing/analysis assistance for the Arizona ADC. The core assures and maintains data accuracy and accessibility for the center's investigators, facilitates the sharing of data with collaborators, and guarantees full compliance with the National Alzheimer's Coordinating Center (NACC). The DMSC also supports new research, acts as catalyst to prompt collaborations inside and outside Arizona, and actively engages in the development, testing, and implementation of novel analytic methods and software. In response to the constructive and insightful prior review of the DMSC from 2011, we reorganized DMSC and are pleased to have Dr. Kewei Chen join Dr. Graciela Gonzalez to co-chair the DMSC. Dr. Chen will lead the statistics efforts, while Dr. Gonzalez will continue to lead all data management efforts. With expertise in statistics, database, neuroimaging, and novel statistical methods development, the DMSC is poised to advance basic, clinical, and intervention research in the early detection, tracking, and prevention of AD. We propose four aims to facilitate high impact bench-to-bedside, translational research: (1) To provide comprehensive data management for acquisition, organization, use, and sharing of data from participants enrolled and followed, (2) To provide statistical, experimental design, and neuroimaging analysis support for new and ongoing projects, (3) To develop, test, and implement new statistical, image analytic, and data management methods and applications to advance the goals of the Arizona ADC, and (4) To actively facilitate research collaborations both inside and outside Arizona to advance the goals and objectives of our center. We will be replacing our old MSAccess database with a new centralized, integrated database that will link imaging and genomic data to the UDS data. It will also allow direct entry from each ADC site via a secure web application, and include a web-based querying system for researchers across our geographically distributed center. Statistical assistance will be provided by the newly formed Statistical Analysis Workgroup consisting of Drs. Chen, Wilson, Alexander, Langbaum and Dueck. Finally, we establish metrics for the data program's development and routine provision of ADCC performance to help the Executive Committee monitor performance and progress and modify its activities accordingly.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Center Core Grants (P30)
Project #
5P30AG019610-20
Application #
9755290
Study Section
Special Emphasis Panel (ZAG1)
Project Start
Project End
Budget Start
2019-07-01
Budget End
2020-06-30
Support Year
20
Fiscal Year
2019
Total Cost
Indirect Cost
Name
Arizona State University-Tempe Campus
Department
Type
DUNS #
943360412
City
Tempe
State
AZ
Country
United States
Zip Code
85287
Klimentidis, Yann C; Raichlen, David A; Bea, Jennifer et al. (2018) Genome-wide association study of habitual physical activity in over 377,000 UK Biobank participants identifies multiple variants including CADM2 and APOE. Int J Obes (Lond) 42:1161-1176
Tu, Yanshuai; Wen, Chengfeng; Zhang, Wen et al. (2018) Isometry Invariant Shape Descriptors for Abnormality Detection on Brain Surfaces Affected by Alzheimer's Disease. Conf Proc IEEE Eng Med Biol Soc 2018:427-4631
Burke, Shanna L; Hu, Tianyan; Fava, Nicole M et al. (2018) Sex differences in the development of mild cognitive impairment and probable Alzheimer's disease as predicted by hippocampal volume or white matter hyperintensities. J Women Aging :1-25
Caneus, Julbert; Granic, Antoneta; Rademakers, Rosa et al. (2018) Mitotic defects lead to neuronal aneuploidy and apoptosis in frontotemporal lobar degeneration caused by MAPT mutations. Mol Biol Cell 29:575-586
Caselli, Richard J; Langlais, Blake T; Dueck, Amylou C et al. (2018) Personality Changes During the Transition from Cognitive Health to Mild Cognitive Impairment. J Am Geriatr Soc 66:671-678
Pottier, Cyril; Zhou, Xiaolai; Perkerson 3rd, Ralph B et al. (2018) Potential genetic modifiers of disease risk and age at onset in patients with frontotemporal lobar degeneration and GRN mutations: a genome-wide association study. Lancet Neurol 17:548-558
Mahady, Laura; Nadeem, Muhammad; Malek-Ahmadi, Michael et al. (2018) Frontal Cortex Epigenetic Dysregulation During the Progression of Alzheimer's Disease. J Alzheimers Dis 62:115-131
Allen, Mariet; Wang, Xue; Burgess, Jeremy D et al. (2018) Conserved brain myelination networks are altered in Alzheimer's and other neurodegenerative diseases. Alzheimers Dement 14:352-366
Zbesko, Jacob C; Nguyen, Thuy-Vi V; Yang, Tao et al. (2018) Glial scars are permeable to the neurotoxic environment of chronic stroke infarcts. Neurobiol Dis 112:63-78
Liu, Li; Caselli, Richard J (2018) Age stratification corrects bias in estimated hazard of APOE genotype for Alzheimer's disease. Alzheimers Dement (N Y) 4:602-608

Showing the most recent 10 out of 794 publications