AI-enabled evaluation of genome-wide association relevance and polygenic risk score prediction in Alzheimer's disease

AI-enabled evaluation of genome-wide association relevance and polygenic risk score prediction in Alzheimer's disease

Summary: GWAS focuses on significance loosing false positives; machine learning probes sub-significant features relying on predictivity. Yet, these are far from orthogonal. We sought to explore how these inform each other in sub-genome-wide significant situations to define relevance for predictive f...

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Bibliographic Details
Main Authors: Daniel E. Platt, Aldo Guzmán-Sáenz, Aritra Bose, Subrata Saha, Filippo Utro, Laxmi Parida
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:iScience
Subjects:
Human Genetics
Quantitative genetics
Biocomputational method
Association analysis
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004224004309

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http://www.sciencedirect.com/science/article/pii/S2589004224004309

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