Benchmarking Alzheimer’s disease prediction: personalised risk assessment using polygenic risk scores across various methodologies and genome-wide studies

Benchmarking Alzheimer’s disease prediction: personalised risk assessment using polygenic risk scores across various methodologies and genome-wide studies

Abstract 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 Alzheime...

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Bibliographic Details
Main Authors: Eftychia Bellou, Woori Kim, Ganna Leonenko, Feifei Tao, Emily Simmonds, Ying Wu, Niklas Mattsson-Carlgren, Oskar Hansson, Michael W. Nagle, Valentina Escott-Price, the Alzheimer’s Disease Neuroimaging Initiative
Format: Article
Language:English
Published: BMC 2025-01-01
Series:Alzheimer’s Research & Therapy
Subjects:
Alzheimer’s disease
Polygenic risk score
Risk prediction
Online Access:https://doi.org/10.1186/s13195-024-01664-9
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