AMP PD / PDRD

Foundation for the National Institutes of Health

Advance your research into Parkinson's disease (PD) and related neurodegenerative disorders with the AMP® PDRD initiative. Building upon the foundational AMP® PD program, this expanded public-private partnership (managed by FNIH) integrates data to address PD and conditions with similar biology or symptoms (e.g., synucleinopathies, atypical Parkinsonisms). Access integrated, harmonized multi-omics and clinical data designed specifically to accelerate the discovery and validation of biomarkers that can differentiate these conditions, track progression, stratify patients, and ultimately improve clinical trial success and broaden treatment options across this spectrum of diseases.

Partner datasets
FNIH
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Datasets

AMP PD / PDRD

Data Collection Time Frame

2018 - Present

Participants

Current: 10,908

Geographical Coverage

International

Usage Examples

  • Discovering and validating biomarkers capable of accurately differentiating Parkinson's disease from related synucleinopathies and atypical Parkinsonisms.

  • Identifying molecular signatures (using multi-omics) associated with specific disease subtypes, progression rates, or pathological features across this spectrum of disorders.

  • Understanding shared and distinct pathophysiological mechanisms between PD and related conditions.

  • Developing predictive models for disease diagnosis, prognosis, or patient stratification.

  • Informing the design of more efficient clinical trials by enabling better patient selection and identifying relevant endpoints.

  • Validating potential therapeutic targets across PD and related disorders.

  • Advancing precision medicine approaches by linking molecular profiles to clinical outcomes.

Data Modalities

Genomics

  • Whole Genome Sequencing (WGS)

  • Genotyping Arrays / WGG

  • Genetic Ancestry Data

Transcriptomics

  • Bulk RNA-Sequencing (RNA-Seq)

  • Single-Cell / Single-Nucleus RNA-Seq (sc/snRNA-Seq)

Proteomics

  • Targeted Proteomics

  • Untargeted Proteomics

Clinical Data

  • Clinical Assessments / Scales

  • Demographics

  • Medical History

  • Clinical Laboratory Tests

Biosamples (Source of Data)

  • Blood (incl. Plasma, Serum, PBMCs)

  • Cerebrospinal Fluid (CSF)

  • Postmortem Tissue (e.g., CNS)

Biomarkers (Specific analyte measurements)

  • [Coming soon] Fluid Biomarker Levels (e.g., Proteins like alpha-synuclein, Tau, Aβ)

Interested in accessing this data?  
 

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