Accelerating Medicines Partnership: Parkinson's Disease. Genetic Resource
Hirotaka Iwaki1,2,3, Hampton L Leonard1,2,3, Mary B Makarious3
1Data Tecnica International, Glen Echo, Maryland, USA.
Summary
The Accelerating Medicines Partnership Parkinson
Area of Science:
- Genomics and Computational Biology
- Neurodegenerative Diseases
Background:
- Whole-genome sequencing (WGS) data offer immense potential for disease discovery but require substantial computational resources and data harmonization.
- Integrating diverse WGS, RNA expression, and clinical data across multiple cohorts is crucial for increasing statistical power in Parkinson's disease (PD) research.
Purpose of the Study:
- To introduce the Accelerating Medicines Partnership Parkinson's Disease (AMP PD) program's research platform.
- To describe the initial release (Version 1) of harmonized WGS data from multiple PD cohorts.
- To provide a foundation for democratizing data access and analysis for the PD research community.
Main Methods:
- Development of a research platform integrating WGS, RNA expression, and clinical data.
- Harmonization of data from four distinct cohort studies.
- Joint genotyping of 3941 participants using the TOPMed Freeze 9 Variant Calling Pipeline for WGS data analysis.
Main Results:
- Version 1 includes WGS data from 3941 participants, comprising idiopathic PD patients, healthy controls, prodromal subjects, and genetically enriched cohorts.
- No significant enrichment of pathogenic variants was found in the idiopathic PD group.
- Higher polygenic risk scores were observed in PD participants across both genetically enriched and non-enriched cohorts, with a correlation between genetically enriched cohorts and Ashkenazi Jewish ancestry.
Conclusions:
- The AMP PD platform provides a valuable, harmonized dataset for Parkinson's disease research.
- This initiative aims to facilitate data accessibility and analytical capabilities for researchers globally.
- The findings highlight genetic correlations and risk factors within specific ancestral populations relevant to PD.
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