Benchmarking Alzheimer’s disease prediction : personalised risk assessment using polygenic risk scores across various methodologies and genome-wide studies
Background: The success of selecting high risk or early-stage Alzheimer’s disease individuals for the delivery of clinical trials depends on the design and the appropriate recruitment of participants. Polygenic risk scores (PRS) show potential for identifying individuals at risk for Alzheimer’s disease (AD). Our study comprehensively examines AD PRS utility using various methods and models. Method