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

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...

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Bibliographic Details
Published in:Movement disorders 2016-01, Vol.31 (1), p.79-85
Main Authors: Nalls, Mike A., Keller, Margaux F., Hernandez, Dena G., Chen, Lan, Stone, David J., Singleton, Andrew B.
Format: Article
Language:English
Subjects:
Aged
Area Under Curve
Disease Progression
Dopamine - deficiency
Female
Genetic Association Studies
Genetic Predisposition to Disease - genetics
genetic risk score
genetics
Genotype
Glucosylceramidase - genetics
GWAS
Humans
Leucine-Rich Repeat Serine-Threonine Protein Kinase-2
Male
Meta-Analysis as Topic
Microchip Analytical Procedures
Middle Aged
Movement disorders
Mutation - genetics
Parkinson Disease - genetics
Parkinson Disease - physiopathology
Parkinson's disease
Principal Component Analysis
Protein-Serine-Threonine Kinases - genetics
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Summary: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. © 2015 International Parkinson and Movement Disorder Society
ISSN:0885-3185
1531-8257
DOI:10.1002/mds.26374