The Arizona ADC Data Management and Statistics Core (DMSC) is responsible for maintaining the data acquisition and integration infrastructure for the Arizona ADC, assuring overall data quality and conformance to the UDS, facilitating the accessibility to data for designated investigators, and developing novel methods of analysis and data mining techniques to advance research on age-related dementia and cognitive decline. In the current application, our goal is to strengthen the role of the DMSC in supporting the growth of our ADC through three Specific Aims: (1) to provide quality data management, statistical analysis and experimental design support for center investigators, (2) to facilitate access and use of the integrated data for research, recruitment, and retention efforts, and (3) to actively participate in research collaborations to advance the center's objectives. Particularly, we will: (la) Provide a complete, accurate, standardized, and carefully maintained centralized database to characterize the demographic, clinical, neuropsychological, genetic, and neuropathological features of subjects enrolled and followed in the individual sites that are part of the Arizona ADC. (lb) Provide data collection mechanisms that are compliant with the Uniform Data Set (UDS) with field and cross-field validations to prevent errors at the data collection point. (1c) Assure ADC investigators access to high quality statistical analysis and experimental design support for new proposals and ongoing projects. (2a) Provide online access to the centralized subject database to support ongoing and new research proposals and clinical trials while ensuring the protection of subject confidentiality for all research participants. (2b) Incorporate mechanisms that allow tracking of referral sources and other data useful for recruitment and retention initiatives of the Education and Clinical Cores. (3a) To comply with all requests for data sharing and coordinate data correction and audit requests from the National Alzheimer's Coordinating Center (NACC). (3b) To develop novel methods of analysis and novel applications of existing data mining and analytic techniques to advance research on age-related dementia and cognitive decline. (3c) To facilitate the ADC's participation in productive collaborations and in the sharing of data through participation in cooperative studies with other ADCs, the NACC, and other researchers both inside and outside of Arizona. Additional funding will be sought for creating a data warehouse with easy-to-use interface.

Public Health Relevance

The Data Management and Statistics group of the Arizona Alzheimer's Disease Center facilitates the use of the participant data for advancing detection and prevention of Alzheimer's disease, assisting researchers with experimental design and analysis, and exploring novel methods of analysis and data mining. The group manages all (de-identified) participant data, providing a data entry system, integrating the data into a central location, and providing feedback to ensure data quality.

National Institute of Health (NIH)
National Institute on Aging (NIA)
Center Core Grants (P30)
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Special Emphasis Panel (ZAG1-ZIJ-5)
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Banner Sun Health Research Institute
Sun City
United States
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Mehta, Dev; Jackson, Robert; Paul, Gaurav et al. (2017) Why do trials for Alzheimer's disease drugs keep failing? A discontinued drug perspective for 2010-2015. Expert Opin Investig Drugs 26:735-739
Alosco, Michael L; Duskin, Jonathan; Besser, Lilah M et al. (2017) Modeling the Relationships Among Late-Life Body Mass Index, Cerebrovascular Disease, and Alzheimer's Disease Neuropathology in an Autopsy Sample of 1,421 Subjects from the National Alzheimer's Coordinating Center Data Set. J Alzheimers Dis 57:953-968
Pandya, Seema Y; Lacritz, Laura H; Weiner, Myron F et al. (2017) Predictors of Reversion from Mild Cognitive Impairment to Normal Cognition. Dement Geriatr Cogn Disord 43:204-214
Sabbagh, M N (2017) Clinical Effects of Oral Tramiprosate in APOE4/4 Homozygous Patients with Mild Alzheimer's Disease Suggest Disease Modification. J Prev Alzheimers Dis 4:136-137
Jun, Gyungah R; Chung, Jaeyoon; Mez, Jesse et al. (2017) Transethnic genome-wide scan identifies novel Alzheimer's disease loci. Alzheimers Dement 13:727-738
Burke, Shanna L; O'Driscoll, Janice; Alcide, Amary et al. (2017) Moderating risk of Alzheimer's disease through the use of anxiolytic agents. Int J Geriatr Psychiatry 32:1312-1321
Soreq, Lilach; UK Brain Expression Consortium; North American Brain Expression Consortium et al. (2017) Major Shifts in Glial Regional Identity Are a Transcriptional Hallmark of Human Brain Aging. Cell Rep 18:557-570
Valera, Elvira; Spencer, Brian; Mott, Jennifer et al. (2017) MicroRNA-101 Modulates Autophagy and Oligodendroglial Alpha-Synuclein Accumulation in Multiple System Atrophy. Front Mol Neurosci 10:329
Smith, Kyle B; Kang, Paul; Sabbagh, Marwan N et al. (2017) The Effect of Statins on Rate of Cognitive Decline in Mild Cognitive Impairment. Alzheimers Dement (N Y) 3:149-156
Sun, Miao; Zhang, Huaye (2017) Par3 and aPKC regulate BACE1 endosome-to-TGN trafficking through PACS1. Neurobiol Aging 60:129-140

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