QPN

QPN aggregates clinical, genetic, imaging, and biospecimen data to enable analyses of Parkinson's disease heterogeneity and biomarker discovery.

Key Features:

• Patient registry: A consecutively recruited cohort of over 1,070 Parkinson's disease (PD) patients with detailed demographic and clinical data.
• Data repository: Centralized collections of genetic, biological, imaging, and clinical datasets for research use.
• Biorepository: A multimodal collection of bio-samples linked to registered patients for molecular and genetic studies.
• Preliminary analyses: Cohort analyses reporting a male:female ratio of 1.8:1, mean age-at-onset of 58.6 years, and associations between REM-sleep behavior disorder (RBD) and motor and non-motor symptoms.
• Research contributions: Resource use has supported over 60 studies and 30 publications.

Scientific Applications:

• Heterogeneity analysis: Dissect clinical and pathological subtypes within the PD population using stratified cohort data.
• Genetic predisposition studies: Investigate genetic contributors to PD by leveraging linked genetic and clinical datasets.
• Biomarker identification: Identify molecular and imaging biomarkers associated with PD symptoms and progression.
• Therapeutic and translational research: Support investigations into neuroprotective strategies and personalized treatment approaches.

Methodology:

Systematic data collection and analysis with stratification of patient data by gender, age, age-at-onset, and symptomatology.