The Data Management, Biostatistics and Bioinformatics Gore (Core D) is an integral part of the University of Pennsylvania School of Medicine (Penn) Morris K. Udall Parkinson's Disease Research Center of Excellence (Udall Center). The goal of Core D in this competing renewal application for continued funding of the Penn Udall Center by the National Institute of Neurological Disorders and Stroke (NINDS) is to support the data management, statistical, bioinformatics, database, and related computational needs of Penn Udall Center investigators. The services provided by Core D 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 Udall Center 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 Center, (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 Center data, (d) bioinformatics support for large complex data set, (e) maintaining and curating the Penn Udall website, (f) promoting an effective working relationship including data sharing between the Penn Udall Center and the PD data organizing center designated by NIH. Thus, Core D plays an important and significant role that is critical to the progress of research and the conduct of studies in the Penn Udall Center, and it will foster collaborative interactions between the Penn Udall Center and other Udall Centers.

Public Health Relevance

Working with other cores. Core D will help to improve research and education on PD without and with dementia (PDD) and dementia with Lewy bodies and to support development of better diagnostics and preventions/treatments of PD.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Specialized Center (P50)
Project #
5P50NS053488-07
Application #
8534827
Study Section
Special Emphasis Panel (ZNS1-SRB-J)
Project Start
Project End
Budget Start
2013-07-01
Budget End
2014-06-30
Support Year
7
Fiscal Year
2013
Total Cost
$133,747
Indirect Cost
$50,154
Name
University of Pennsylvania
Department
Type
DUNS #
042250712
City
Philadelphia
State
PA
Country
United States
Zip Code
19104
Tropea, Thomas F; Xie, Sharon X; Rick, Jacqueline et al. (2017) APOE, thought disorder, and SPARE-AD predict cognitive decline in established Parkinson's disease. Mov Disord :
Schrag, Anette; Siddiqui, Uzma Faisal; Anastasiou, Zacharias et al. (2017) Clinical variables and biomarkers in prediction of cognitive impairment in patients with newly diagnosed Parkinson's disease: a cohort study. Lancet Neurol 16:66-75
Cousins, Katheryn A Q; Ash, Sharon; Grossman, Murray (2017) Production of verbs related to body movement in amyotrophic lateral sclerosis (ALS) and Parkinson's Disease (PD). Cortex :
Rennert, Lior; Xie, Sharon X (2017) Cox regression model with doubly truncated data. Biometrics :
St John-Williams, Lisa; Blach, Colette; Toledo, Jon B et al. (2017) Targeted metabolomics and medication classification data from participants in the ADNI1 cohort. Sci Data 4:170140
Ash, Sharon; Jester, Charles; York, Collin et al. (2017) Longitudinal decline in speech production in Parkinson's disease spectrum disorders. Brain Lang 171:42-51
Lopez, Alexander M; Weintraub, Daniel; Claassen, Daniel O (2017) Impulse Control Disorders and Related Complications of Parkinson's Disease Therapy. Semin Neurol 37:186-192
Akhtar, Rizwan S; Xie, Sharon X; Chen, Yin J et al. (2017) Regional brain amyloid-? accumulation associates with domain-specific cognitive performance in Parkinson disease without dementia. PLoS One 12:e0177924
Cooper, Christine A; Jain, Nimansha; Gallagher, Michael D et al. (2017) Common variant rs356182 near SNCA defines a Parkinson's disease endophenotype. Ann Clin Transl Neurol 4:15-25
Rutten, Sonja; Vriend, Chris; van der Werf, Ysbrand D et al. (2017) The bidirectional longitudinal relationship between insomnia, depression and anxiety in patients with early-stage, medication-naïve Parkinson's disease. Parkinsonism Relat Disord 39:31-36

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