GP2

Global Parkinson's Genetics Program | Michael J Fox Foundation

This large-scale international dataset provides access to genomic data (primarily whole-genome genotyping and sequencing) from over 70,000 participants, including individuals with Parkinson's disease (PD) and related disorders, related individuals, and healthy controls, with a strong emphasis on genetic diversity. It is a critical resource for researchers investigating the genetic architecture of PD, identifying novel risk variants across diverse populations, exploring gene-environment interactions, and accelerating the development of genetically informed therapies.
 

GP2 (Global Parkinson’s Genetics Program) comprises a collection of independently led active and completed studies of Parkinson's disease with genetic data collection. Cohort contributors to GP2 are partners in its global mission to improve our understanding of Parkinson's disease and accelerate scientific breakthroughs.

Partner datasets
Global Parkinson’s Genetics Program
Michael J Fox Foundation
Parkinson's Disease

Datasets

GP2

Data Collection Time Frame

2020 - Present

Participants

Current: 71,835

Target: 200,000

Geographical Coverage

International

Usage Examples

  • Understanding global genetic variation and correlation with disease outcomes.
  • Assessing potential precision medicine approaches (e.g., personalized risk prediction, prevention, treatment).
  • Exploring genetic pathways to nominate targets and candidate biomarkers in context of global genetics.
  • Researching factors contributing to wellness, resilience, and healthy aging.
  • Evaluating pharmacogenetic research to prioritize and evaluate potential therapeutics or assess variability in drug response.
  • Accelerating discoveries across a wide range of diseases (e.g., cancer, cardiovascular disease, diabetes, neurological disorders).

Data Modalities

Genomics

  • Whole Genome Sequencing (WGS)
  • Genotyping Arrays
  • Genomic Summary Statistics
  • Structural Variant (SV) Data
  • Gene Mutation Status

Biosamples

  • Blood
  • Saliva

Clinical Data

  • Demographics
  • Medical History
  • Family History
  • Clinical Assessments / Scales

Interested in accessing this data?
 

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