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Web-based assessment of Parkinson's prodromal markers identifies GBA variants.

Noyce, AJ; Mencacci, NE; Schrag, A; Bestwick, JP; Giovannoni, G; Lees, AJ; Hardy, J; (2015) Web-based assessment of Parkinson's prodromal markers identifies GBA variants. Mov Disord , 30 (7) pp. 1002-1003. 10.1002/mds.26249. Green open access

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Abstract

Identifying those “at risk” of Parkinson’s disease (PD) is a priority and a key strategy for testing neuroprotective agents. PREDICT-PD is a pilot cohort study in which healthy UK adults are screened online (www.predictpd.com) with a questionnaire that ascertains the presence of early phenotypic features and risk factors, based on systematic review.

Type: Article
Title: Web-based assessment of Parkinson's prodromal markers identifies GBA variants.
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1002/mds.26249
Publisher version: http://dx.doi.org/10.1002/mds.26249
Additional information: Copyright © 2014 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Clinical and Movement Neurosciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neurodegenerative Diseases
URI: https://discovery.ucl.ac.uk/id/eprint/1469063
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