The Data Management and Biostatistics core will provide high quality data management services and statistical consulting to the University of California at San Francisco (UCSF) Alzheimer's Disease Research Center (ADRC) research projects and cores. The core will build upon the ongoing partnership between UCSF's Institute of Health and Aging (IHA) and the UCSF Memory and Aging Center (MAC). The partnership between the Memory and Aging Center (MAC) and the Institute of Health and Aging (IHA) combines over seventeen years of IHA data management expertise with a comprehensive MAC data management program, providing a strong foundation to support the goals of the UCSF ADRC to capture a broad range of neurobehavioral, genetic, neuroimaging, neuropathology and molecular biology data on a large cohort of AD and non-AD dementia patients. The strength of the UCSF ADRC data management system will be the ability to integrate and share information between all cores, projects and clinic/lab(s), greatly facilitating the progress of the research studies. In addition, the data management processes that will be implemented will ensure a timely and accurate dataset submission to the National Alzheimer's Coordinating Center (NACC), as well as the sharing of data among other external researchers. Biostatistical consultation on the design of studies and the analysis of data will be offered across all UCSF ADRC cores and projects. This consultation will produce effective, valid analyses of project data that address the research questions of interest.
The specific aims of the core include (1) maintaining a centralized UCSF ADRC clinical and research database, ensuring the integrity, availability, and confidentiality of all UCSF ADRC core and project data; (2) developing and maintaining a comprehensive data quality assurance program to ensure the identification and resolution of data errors across the USCF ADRC projects and cores; (3) develop and maintaining appropriate data management processes to ensure the timely and accurate submission of all datasets requested by the NACC; and (4) providing statistical consultation on research design and data analysis to all UCSF ADRC cores and projects.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Specialized Center (P50)
Project #
5P50AG023501-04
Application #
7407533
Study Section
Special Emphasis Panel (ZAG1)
Project Start
Project End
Budget Start
2007-04-01
Budget End
2008-03-31
Support Year
4
Fiscal Year
2007
Total Cost
$179,784
Indirect Cost
Name
University of California San Francisco
Department
Type
DUNS #
094878337
City
San Francisco
State
CA
Country
United States
Zip Code
94143
Kirson, Noam Y; Scott Andrews, J; Desai, Urvi et al. (2018) Patient Characteristics and Outcomes Associated with Receiving an Earlier Versus Later Diagnosis of Probable Alzheimer's Disease. J Alzheimers Dis 61:295-307
Crum, Jana; Wilson, Jeffrey; Sabbagh, Marwan (2018) Does taking statins affect the pathological burden in autopsy-confirmed Alzheimer's dementia? Alzheimers Res Ther 10:104
Nguyen, Andrew D; Nguyen, Thi A; Zhang, Jiasheng et al. (2018) Murine knockin model for progranulin-deficient frontotemporal dementia with nonsense-mediated mRNA decay. Proc Natl Acad Sci U S A 115:E2849-E2858
Bergeron, David; Gorno-Tempini, Maria L; Rabinovici, Gil D et al. (2018) Prevalence of amyloid-? pathology in distinct variants of primary progressive aphasia. Ann Neurol 84:729-740
Björkhem, Ingemar; Patra, Kalicharan; Boxer, Adam L et al. (2018) 24S-Hydroxycholesterol Correlates With Tau and Is Increased in Cerebrospinal Fluid in Parkinson's Disease and Corticobasal Syndrome. Front Neurol 9:756
Arnemann, Katelyn L; Stöber, Franziska; Narayan, Sharada et al. (2018) Metabolic brain networks in aging and preclinical Alzheimer's disease. Neuroimage Clin 17:987-999
McKeever, Paul M; Schneider, Raphael; Taghdiri, Foad et al. (2018) MicroRNA Expression Levels Are Altered in the Cerebrospinal Fluid of Patients with Young-Onset Alzheimer's Disease. Mol Neurobiol 55:8826-8841
Burke, Shanna L; Cadet, Tamara; Maddux, Marlaina (2018) Chronic Health Illnesses as Predictors of Mild Cognitive Impairment Among African American Older Adults. J Natl Med Assoc 110:314-325
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
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

Showing the most recent 10 out of 590 publications