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Looking at risk factors together — not just one at a time — could transform how we predict late-onset Parkinson's disease. A large UK study found that certain combinations of modifiable and nonmodifiable risk factors dramatically amplify PD risk, with some triplets raising the hazard ratio as high as 12. The findings could pave the way for more targeted prevention strategies.
Predicting who will develop Parkinson's disease (PD) may get a major upgrade. A new study published in Movement Disorders found that evaluating risk factors in pairs and triplets — rather than individually — significantly improves risk stratification for late-onset PD. Using UK Biobank data from over 311,000 adults followed for up to 15 years, researchers identified 18 independent risk factors (13 modifiable, 5 nonmodifiable) and then examined how they interact in combination.
The results were striking: certain combinations of risk factors created a "positive additive interaction," meaning the combined risk was far greater than the sum of its parts. Younger women showed particularly elevated risk when loneliness was paired with a high PD polygenic risk score.
By the Numbers:
Why it matters: Single-factor risk models may be leaving a lot on the table. By mapping how multiple risk factors interact, clinicians could better identify high-risk individuals early and tailor prevention strategies — especially since 13 of the 18 key risk factors are potentially modifiable.
