Metabolomic and genomic prediction of common diseases in 700,217 participants in three national biobanks

Abstract Identifying individuals at high risk of chronic diseases via easily measured biomarkers could enhance efforts to prevent avoidable illness and death. Using ’omic data can stratify risk for many diseases simultaneously from a single measurement that captures multiple molecular predictors of...

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Bibliographic Details
Main Author: Nightingale Health Biobank Collaborative Group
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-024-54357-0
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