ArticleNature communications2025
Genetic architecture of plasma metabolome in 254,825 individuals.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Genomic Medicine Sweden: Advancing precision medicine at the national level.Journal of internal medicine · 2026Review
- Metabolomics workbench: data-driven classification and correlation analysis between metabolite classes, biomarkers, and drugs.Briefings in bioinformatics · 2026Article
- Article
- A Shared Systemic Metabolic Signature Across the Neurological Disease Spectrum: A Summary-Level Analysis of 274,241 UK Biobank Participants.Biomedicines · 2026Article
- Large-Scale Analyses of GWAS Identify Five Key Pleiotropic Genes Involved in Complex Diseases.Genes · 2026Article
- Rare coding and noncoding variants map 1,342 diseases and biomarkers in 490,549 whole genomes.medRxiv : the preprint server for health sciences · 2026Article
- Mapping the plasma metabolome to human health and disease in 274,241 adults.Nature metabolism · 2025Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Circulating metabolites are crucial to biological processes underlying health and diseases, yet their genetic determinants remain incompletely understood. Here, we investigate the genetic architecture of nuclear magnetic resonance-based metabolomics, analyzing 249 metabolic measures and 64 biologically plausible ratios in 254,825 participants. We conduct a genome-wide association study (GWAS) identifying 24,438 independent variant-metabolite associations across 427 loci, with effect sizes highly concordant with 19 previous studies. Fine-mapping pinpoints 3610 putative causal associations, 785 of which are novel. Additionally, we utilize whole exome sequencing data and uncover 2948 gene-metabolite associations through aggregate testing, underscoring the importance of rare coding variants overlooked in GWAS. Integrating our findings with disease genetics reveals potential causal associations, such as between acetate levels and the risk of atrial fibrillation and flutter. Collectively, this study delineates the complex genetic architecture of the plasma metabolome, offering a valuable resource for future investigations into disease mechanisms and therapeutic strategies.
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Registered trials
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