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Article

Unraveling phenotypic variance in metabolic syndrome through multi-omics.

Human genetics - 1 Jan 2024

Amente Lamessa Dube, Mills Natalie T, Le Thuc Duy, Hyppönen Elina, Lee S Hong

Abstract excerpt

Complex multi-omics effects drive the clustering of cardiometabolic risk factors, underscoring the imperative to comprehend how individual and combined omics shape phenotypic variation. Our study partitions phenotypic variance in metabolic syndrome (MetS), blood glucose (GLU), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and blood pressure through genome, transcriptome, metabolome, and...

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PMID: 38095720
DOI: 10.1007/s00439-023-02619-0

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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