Abstract

In response to RFA-NS-NS-05-001, we propose to establish a Parkinson's Disease Data Organizing Center (PD-DOC) at the University of Rochester. In keeping with the RFA, the PD-DOC will: 1) establish, maintain and disseminate a shared, central and standardized longitudinal database in support of the prospective collection and analysis of clinical, neuropathological and biologic data from patients with PD and controls, 2) assess and move toward the potential integration of relevant pre-existing databases, 3) assist investigators planning to perform research studies using the shared database, 4) prepare and maintain an up-to-date catalog of research materials at participating sites that might be used for PD research and, 5) coordinate annual meetings of the PD-DOC Steering Committee. The University of Rochester has extensive expertise and resources which will facilitate the development of a highly successful PD-DOC. The PD-DOC will be a critical force in advancing collaborative research in PD.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project--Cooperative Agreements (U01)
Project #
4U01NS050095-06
Application #
8063706
Study Section
Special Emphasis Panel (ZNS1-SRB-K (12))
Program Officer
Galpern, Wendy R
Project Start
2004-09-30
Project End
2011-05-31
Budget Start
2010-06-15
Budget End
2011-05-31
Support Year
6
Fiscal Year
2010
Total Cost
$1,137,270
Indirect Cost

  Institution

Name
University of Rochester
Department
Neurology
Type
Schools of Dentistry
DUNS #
041294109
City
Rochester
State
NY
Country
United States
Zip Code
14627

  Publications

Liu, Ganqiang; Locascio, Joseph J; Corvol, Jean-Christophe et al. (2017) Prediction of cognition in Parkinson's disease with a clinical-genetic score: a longitudinal analysis of nine cohorts. Lancet Neurol 16:620-629
Liu, Ganqiang; Boot, Brendon; Locascio, Joseph J et al. (2016) Specifically neuropathic Gaucher's mutations accelerate cognitive decline in Parkinson's. Ann Neurol 80:674-685
Locascio, Joseph J; Eberly, Shirley; Liao, Zhixiang et al. (2015) Association between ?-synuclein blood transcripts and early, neuroimaging-supported Parkinson's disease. Brain 138:2659-71
Tanner, Caroline M; Meng, Cheryl C; Ravina, Bernard et al. (2014) A practical approach to remote longitudinal follow-up of Parkinson's disease: the FOUND study. Mov Disord 29:743-9
Videnovic, Aleksandar; Noble, Charleston; Reid, Kathryn J et al. (2014) Circadian melatonin rhythm and excessive daytime sleepiness in Parkinson disease. JAMA Neurol 71:463-9
Lang, Anthony E; Eberly, Shirley; Goetz, Christopher G et al. (2013) Movement disorder society unified Parkinson disease rating scale experiences in daily living: longitudinal changes and correlation with other assessments. Mov Disord 28:1980-6
Tsanas, Athanasios; Little, Max A; McSharry, Patrick E et al. (2012) Statistical analysis and mapping of the Unified Parkinson's Disease Rating Scale to Hoehn and Yahr staging. Parkinsonism Relat Disord 18:697-9
Ravina, Bernard; Marek, Kenneth; Eberly, Shirley et al. (2012) Dopamine transporter imaging is associated with long-term outcomes in Parkinson's disease. Mov Disord 27:1392-7
Saunders-Pullman, Rachel; Cabassa, Jose; San Luciano, Marta et al. (2011) LRRK2 G2019S mutations may be increased in Puerto Ricans. Mov Disord 26:1772-3
Brüggemann, Norbert; Hagenah, Johann; Stanley, Kaili et al. (2011) Substantia nigra hyperechogenicity with LRRK2 G2019S mutations. Mov Disord 26:885-8

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