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Polygenic Risk Score Combined with Transcranial Sonography Refines Parkinson's Disease Risk Prediction
Mart Kals1, Anu Reigo1, Maris Teder-Laving1
1Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia.
Movement Disorders Clinical Practice
|February 28, 2025
Summary
Parkinson's disease (PD) risk is linked to substantia nigra (SN) hyperechogenicity and olfactory impairment. Combining polygenic risk score (PD-PRS) with SN hyperechogenicity may improve early PD detection.
Area of Science:
- Neuroscience
- Genetics
- Medical Imaging
Background:
- Parkinson's disease (PD) is characterized by dopaminergic neuron loss in the substantia nigra (SN) and alpha-synuclein aggregation.
- Identifying individuals at high risk for PD is crucial for early intervention.
Purpose of the Study:
- To investigate the association between the polygenic risk score for PD (PD-PRS) and SN hyperechogenicity.
- To assess the potential of combining PD-PRS and SN hyperechogenicity for improved PD susceptibility prediction.
Main Methods:
- Calculated PD-PRS for over 41,000 Estonian Biobank participants aged 55+ without a PD diagnosis.
- Conducted transcranial sonography (TCS) for SN hyperechogenicity and olfactory testing (Sniffin' sticks) in high and low PD-PRS groups.
- Utilized multivariable logistic regression to analyze associations between PD-PRS, risk markers, and SN hyperechogenicity.
Main Results:
- Analyzed data from 204 participants; PD-PRS assignment improved explained variance in SN hyperechogenicity from 17.2% to 31.9%.
- Low PD-PRS group had significantly lower odds of SN hyperechogenicity compared to the high-risk group (OR=0.16, P<0.001).
- Improved olfactory test scores were associated with reduced odds of SN hyperechogenicity (aOR=0.60, P=0.002).
Conclusions:
- TCS-measured SN hyperechogenicity is significantly associated with PD-PRS and olfactory impairment.
- Combined assessment of PD-PRS, SN hyperechogenicity, and olfactory function may enhance early diagnosis of prodromal PD.
- This approach can help identify individuals at increased risk for developing Parkinson's disease.

