Covariate-aware genomic prediction of blood metabolite profiles using multi-task neural networks

Abstract excerpt

Circulating metabolites capture clinically relevant physiological variation and contribute to disease aetiology yet are mostly studied as biomarkers rather than prediction targets. Although genome-wide association studies have identified genetic determinants of metabolites, marginal associations do not show how accurately the metabolome can be predicted or whether deep learning approaches can improve prediction by...

Topics

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• Brain
• Deep Learning
• Logistic Models
• Metabolic Syndrome
• Metabolomics
• Neural Networks, Computer
• Polymorphism, Single Nucleotide
• Support Vector Machine

Identifiers and source

Literature Corpus work

97cdae44-fad1-51f8-9940-cddd6c4eb2df

DOI

10.64898/2026.06.08.728708