Baseline genetic associations in the Parkinson's Progression Markers Initiative (PPMI)

Mike A. Nalls, Margaux F. Keller, Dena G. Hernandez, Lan Chen, David J. Stone, Andrew B. Singleton, Parkinson's Progression Marker Initiative (PPMI) investigators

    Research output: Contribution to journalArticlepeer-review

    61 Citations (Scopus)

    Abstract

    Background: The Parkinson's Progression Marker Initiative is an international multicenter study whose main goal is investigating markers for Parkinson's disease (PD) progression as part of a path to a treatment for the disease. This manuscript describes the baseline genetic architecture of this study, providing not only a catalog of disease-linked variants and mutations, but also quantitative measures with which to adjust for population structure.

    Methods: Three hundred eighty-three newly diagnosed typical PD cases, 65 atypical PD and 178 healthy controls, from the Parkinson's Progression Marker Initiative study have been genotyped on the NeuroX or Immunochip arrays. These data are freely available to all researchers interested in pursuing PD research within the Parkinson's Progression Marker Initiative.

    Results: The Parkinson's Progression Marker Initiative represents a study population with low genetic heterogeneity. We recapitulate known PD associations from large-scale genome-wide association studies and refine genetic risk score models for PD predictability (area under the curve, ~0.74). We show the presence of six LRRK2 p.G2019S and nine GBA p.N370S mutation carriers.

    Conclusions: The Parkinson's Progression Marker Initiative study and its genetic data are useful in studies of PD biomarkers. The genetic architecture described here will be useful in the analysis of myriad biological and clinical traits within this study.

    Original languageEnglish
    Pages (from-to)79-85
    Number of pages7
    JournalMovement disorders : official journal of the Movement Disorder Society
    Volume31
    Issue number1
    DOIs
    Publication statusPublished - Jan 2016

    Keywords

    • Parkinson's disease
    • genetics
    • genetic risk score
    • GWAS

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