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Construction and validation of a Parkinson's disease mutation genotyping array for the Parkin gene

  • Lorraine N. Clark*
  • , Eneli Haamer
  • , Helen Mejia-Santana
  • , Juliette Harris
  • , Suzanne Lesage
  • , Alexandra Durr
  • , Sabine Janin
  • , Katja Hedrich
  • , Elan D. Louis
  • , Lucien J. Cote
  • , Howard Andrews
  • , Stanley Fahn
  • , Cheryl Waters
  • , Blair Ford
  • , Steven Frucht
  • , William Scott
  • , Christine Klein
  • , Alexis Brice
  • , Hanno Roomere
  • , Ruth Ottman
  • Karen Marder
*Corresponding author for this work
  • Department of Pathology
  • Columbia University in the City of New York
  • Taub Institute for Research on Alzheimer's Disease and the Aging Brain
  • Asper Biotech.
  • Gertrude H. Sergievsky Center
  • Department of Neurology
  • Universite Paris-Sud XI
  • Hôpital de la Pitié-Salpêtrière
  • Université Paris Descartes
  • Pierre and Marie Curie University (UPMC, Paris 6)and Medical School
  • Duke University
  • Département de Génétique
  • Columbia University Medical Center
  • New York State Psychiatric Institute

Abstract

Parkin mutations account for the majority of familial and sporadic early onset Parkinson's disease (EOPD) cases with a known genetic association. More than 100 mutations have been described in the Parkin gene that includes homozygous, compound heterozygous, and single heterozygous mutations. We have designed a Parkin mutation genotyping array (gene chip) that includes published Parkin sequence variants and allows their simultaneous detection. The chip was validated by screening 85 PD cases and 47 controls previously tested for Parkin mutations. Similar genotyping microarrays have been developed for other genetically heterogeneous diseases including age-related macular degeneration. Here, we show the utility of a genotyping array for Parkinson's disease by analysis of 60 subjects from the Genetic Epidemiology of Parkinson Disease (GEPD) study that includes 15 early-onset PD case probands and 45 relatives.

Original languageEnglish
JournalMovement Disorders
Volume22
Issue number7
Pages (from-to)932-937
Number of pages6
ISSN0885-3185
DOIs
Publication statusPublished - 15.05.2007

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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