Across four scientific sessions, participants will explore the discovery of novel Parkinson’s disease genes, emerging pathogenic mechanisms, and gene–environment interactions. The program highlights current strategies for identifying genetic risk factors across diverse populations and discusses how large-scale genomic studies contribute to improved disease stratification.

Further sessions address gene-based and antisense therapies, environmental modifiers, and the integration of multi-omics data to support precision medicine approaches. Advances in biomarkers, including alpha-synuclein–based frameworks, retinal markers, and AI-driven clinical data integration, will be discussed in the context of early diagnosis and disease prediction.

The meeting also emphasizes global collaboration, featuring data from East Asian, European, and multinational cohorts, as well as family-based studies and artificial intelligence applications. Poster sessions and DataBlitz presentations provide additional opportunities to present new data, foster discussion, and shape future collaborative research within the GEoPD network.