The Data Management and Statistics Core (Core C) described here Is an integral part of the University of Pennsylvania School of Medicine (Penn) Alzheimer's Disease (AD) Core Center (ADCC). The goal of Core C in this competing renewal application for continued funding of the Penn ADCC by the National Institute of Aging (NIA) is to support the data management, statistical, bioinformatics, database, and related computational needs of Penn ADCC investigators and ADCC Pilot awardees. The services provided by Core C include: (a) support for data form/questionnaire design and development, database development and management, data entry, database audit trail, database security, database backup, and stringent data quality control procedures, (b) computing and programming support for all Penn ADCC activities, including implementation and integration of hardware and software upgrades necessary for data management and research, routine and archival off-site backup of computing systems central to the Penn ADCC, (c) biostatistical support for all study aspects from inception to publication, including development of study design, performing sample size and power calculations, randomization schemes, and performing analyses of the ADCC data, (d) promoting an effective working relationship between the Penn ADCC, other NIA funded AD Centers (ADCs) and the National Alzheimer's Coordinating Center (NACC). Thus, Core C plays an important and significant role in the Penn ADCC that is critical to research on AD or related disorders, subjects with mild cognitive impairment and normal controls conducted by Penn ADCC investigators and their collaborators at other ADCs as well as to the continuation of an effective working relationship with NACC.

Public Health Relevance

Working with other cores, Core C will help to improve research and education on AD and related disorders, normal brain aging and MCI, and to support development of better diagnostics and preventions/treatments of AD and related disorders.

National Institute of Health (NIH)
National Institute on Aging (NIA)
Center Core Grants (P30)
Project #
Application #
Study Section
Special Emphasis Panel (ZAG1-ZIJ-5)
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
University of Pennsylvania
United States
Zip Code
Moelter, Stephen T; Glenn, Megan A; Xie, Sharon X et al. (2015) The Dementia Severity Rating Scale predicts clinical dementia rating sum of boxes scores. Alzheimer Dis Assoc Disord 29:158-60
Russ, Jenny; Liu, Elaine Y; Wu, Kathryn et al. (2015) Hypermethylation of repeat expanded C9orf72 is a clinical and molecular disease modifier. Acta Neuropathol 129:39-52
Cary, Mark S; Rubright, Jonathan D; Grill, Joshua D et al. (2015) Why are spousal caregivers more prevalent than nonspousal caregivers as study partners in AD dementia clinical trials? Alzheimer Dis Assoc Disord 29:70-4
McMillan, Corey T; Toledo, Jon B; Avants, Brian B et al. (2014) Genetic and neuroanatomic associations in sporadic frontotemporal lobar degeneration. Neurobiol Aging 35:1473-82
Yarchoan, Mark; Toledo, Jon B; Lee, Edward B et al. (2014) Abnormal serine phosphorylation of insulin receptor substrate 1 is associated with tau pathology in Alzheimer's disease and tauopathies. Acta Neuropathol 128:679-89
Ryvkin, Paul; Leung, Yuk Yee; Ungar, Lyle H et al. (2014) Using machine learning and high-throughput RNA sequencing to classify the precursors of small non-coding RNAs. Methods 67:28-35
Lee, Edward B; Mattson, Mark P (2014) The neuropathology of obesity: insights from human disease. Acta Neuropathol 127:3-28
Ferrari, Raffaele; Hernandez, Dena G; Nalls, Michael A et al. (2014) Frontotemporal dementia and its subtypes: a genome-wide association study. Lancet Neurol 13:686-99
Olm, Christopher A; McMillan, Corey T; Spotorno, Nicola et al. (2014) The relative contributions of frontal and parietal cortex for generalized quantifier comprehension. Front Hum Neurosci 8:610
Millard, Steven P; Lutz, Franziska; Li, Ge et al. (2014) Association of cerebrospinal fluid A*42 with A2M gene in cognitively normal subjects. Neurobiol Aging 35:357-64

Showing the most recent 10 out of 199 publications