8 research outputs found

    Genetic studies of abdominal MRI data identify genes regulating hepcidin as major determinants of liver iron concentration

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    A reference map of potential determinants for the human serum metabolome

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    Author Correction: Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models (<em>Nature Biotechnology</em>, (2023), 41, 3, (399-408), 10.1038/s41587-022-01520-x)

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    Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models

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    Genetic analysis of blood molecular phenotypes reveals common properties in the regulatory networks affecting complex traits

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    We evaluate the shared genetic regulation of mRNA molecules, proteins and metabolites derived from whole blood from 3029 human donors. We find abundant allelic heterogeneity, where multiple variants regulate a particular molecular phenotype, and pleiotropy, where a single variant associates with multiple molecular phenotypes over multiple genomic regions. The highest proportion of share genetic regulation is detected between gene expression and proteins (66.6%), with a further median shared genetic associations across 49 different tissues of 78.3% and 62.4% between plasma proteins and gene expression. We represent the genetic and molecular associations in networks including 2828 known GWAS variants, showing that GWAS variants are more often connected to gene expression in trans than other molecular phenotypes in the network. Our work provides a roadmap to understanding molecular networks and deriving the underlying mechanism of action of GWAS variants using different molecular phenotypes in an accessible tissue. Perioperative Medicine: Efficacy, Safety and Outcome (Anesthesiology/Intensive Care

    Genetic analysis of blood molecular phenotypes reveals common properties in the regulatory networks affecting complex traits

    No full text
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