Volume 27, Issue 5 p. 656-665
Article

Defining at-risk populations for Parkinson's disease: Lessons from ongoing studies

Daniela Berg MD

Corresponding Author

Daniela Berg MD

Department of Neurodegeneration, Hertie Institute of Clinical Brain Research and German Center of Neurodegenerative Diseases, University of Tübingen, Tübingen, Germany

Department of Neurodegeneration, Hertie Institute for Clinical Brain Research and German Center of Neurodegenerative Diseases, Hoppe-Seyler-Strasse 3, 72076 Tübingen, GermanySearch for more papers by this author
Ken Marek MD

Ken Marek MD

Institute for Neurodegenerative Disorders, New Haven, Connecticut, USA

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George W. Ross MD

George W. Ross MD

VA Pacific Islands Health Care System, Honolulu, Hawaii, USA, and Kuakini Medical Center, Honolulu, Hawaii, USA

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Werner Poewe

Werner Poewe

Department of Neurology, University of Innsbruck, Innsbruck, Austria

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First published: 16 April 2012
Citations: 99

Relevant conflicts of interest/financial disclosures: Nothing to report.

Full financial disclosures and author roles may be found in the online version of this article.

Abstract

It is currently widely acknowledged that the natural history of PD includes a preclinical phase, and there are increasing efforts to identify markers that would allow the identification of individuals at risk for PD. Here, we discuss the issues related to defining at-risk populations for PD and review findings of current population-based cohorts that have reported potential biomarkers for PD, such as the Honolulu-Asia Aging Study (HAAS) and the PRIPS (Prospective Validation of Risk factors for the development of Parkinson Syndromes) study. We also discuss enriched risk cohorts designed to evaluate specificity and predictive value of markers exemplified by the PARS (Parkinson Associated Risk Study) and the TREND (Tübinger evaluation of Risk factors for the Early detection of NeuroDegeneration) study. Although there is still a long way to go, studies designed according to these concepts might eventually provide sufficient data to form the basis for future screening programs for PD risk to be applied at a population level. © 2012 Movement Disorder Society