The AI-PROGNOSIS project was presented at the European Human Genetics Conference (ESHG), held in Gothenburg, Sweden, from 13–16 June 2026. The poster was presented by Paraskevi Chairta from the Cyprus Institute of Neurology and Genetics (CING).

The poster focused on Parkinson’s disease risk prediction using updated polygenic risk score (PRS) models. PRS are based on multiple genetic variants and are used to assess genetic risk.

For this work, genetic data from the AMP-PD repository were analysed. Three PRS were calculated for each individual, based on genetic variants reported in previous genome-wide association studies.

The results showed that all three PRS distinguished Parkinson’s disease cases from healthy controls. A slightly stronger effect was observed when using the PRS with the largest set of SNPs.

The findings support the reliability of PRS for Parkinson's disease risk assessment and highlight the need for further genetic studies in underrepresented populations.

The presentation provided an opportunity to share AI-PROGNOSIS progress with the scientific community and exchange views with experts in human genetics and neurodegenerative disease research.