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PRISM-AD quantifies clinical and genetic contributions to cognitive risk prediction
medRxiv · · Preprint · Open access
Dai, Wood + 2 more
Abstract ↗AI summary
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PRISM-AD in 4,435 European-ancestry older adults links higher modeled genetic contributions to later AD dementia, with a genetic-factor ratio of 1.135 (BH q < 0.001).
- Why it matters: Overall risk scores do not reveal how clinical status and inherited genetic susceptibility jointly shape cognitive trajectories from normal cognition to impairment.
- What they did: The model combined nonlinear clinical functions with a polygenic risk score term, then internally validated CN-to-MCI in 908 and MCI-to-AD dementia in 714 using participant-level forecasts over three or five years.
- The result: Forecast accuracy for CN-to-MCI was average precision 0.2996 (three-year) and 0.4094 (five-year), while PRS increments did not reach BH q < 0.05; in a retrospective follow-up, genetic contributions were higher in later AD within shared risk deciles.
The findingWhy it mattersWhat they didThe result
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