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.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Center Core Grants (P30)
Project #
6P30AG019610-14
Application #
8796286
Study Section
Special Emphasis Panel (ZAG1-ZIJ-5)
Project Start
Project End
Budget Start
2013-12-01
Budget End
2014-06-30
Support Year
14
Fiscal Year
2013
Total Cost
$120,670
Indirect Cost
Name
Banner Health
Department
Type
DUNS #
071753982
City
Phoenix
State
AZ
Country
United States
Zip Code
85006
Caroli, Anna; Prestia, Annapaola; Wade, Sara et al. (2015) Alzheimer Disease Biomarkers as Outcome Measures for Clinical Trials in MCI. Alzheimer Dis Assoc Disord 29:101-9
Sekar, Shobana; McDonald, Jacquelyn; Cuyugan, Lori et al. (2015) Alzheimer's disease is associated with altered expression of genes involved in immune response and mitochondrial processes in astrocytes. Neurobiol Aging 36:583-91
Nugent, Scott; Tremblay, Sebastien; Chen, Kewei W et al. (2014) Brain glucose and acetoacetate metabolism: a comparison of young and older adults. Neurobiol Aging 35:1386-95
Ferrari, Raffaele; Ryten, Mina; Simone, Roberto et al. (2014) Assessment of common variability and expression quantitative trait loci for genome-wide associations for progressive supranuclear palsy. Neurobiol Aging 35:1514.e1-12
Siderowf, Andrew; Pontecorvo, Michael J; Shill, Holly A et al. (2014) PET imaging of amyloid with Florbetapir F 18 and PET imaging of dopamine degeneration with 18F-AV-133 (florbenazine) in patients with Alzheimer's disease and Lewy body disorders. BMC Neurol 14:79
O'Connor, Mary-Frances; Arizmendi, Brian J (2014) Neuropsychological correlates of complicated grief in older spousally bereaved adults. J Gerontol B Psychol Sci Soc Sci 69:12-8
Raichlen, David A; Alexander, Gene E (2014) Exercise, APOE genotype, and the evolution of the human lifespan. Trends Neurosci 37:247-55
Langbaum, Jessica B; Hendrix, Suzanne B; Ayutyanont, Napatkamon et al. (2014) An empirically derived composite cognitive test score with improved power to track and evaluate treatments for preclinical Alzheimer's disease. Alzheimers Dement 10:666-74
Berk, Camryn; Paul, Gaurav; Sabbagh, Marwan (2014) Investigational drugs in Alzheimer's disease: current progress. Expert Opin Investig Drugs 23:837-46
Dugger, Brittany N; Adler, Charles H; Shill, Holly A et al. (2014) Concomitant pathologies among a spectrum of parkinsonian disorders. Parkinsonism Relat Disord 20:525-9

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