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Genome-wide characterization of 54 urinary metabolites reveals molecular impact of kidney function

Author

Listed:
  • Erkka Valo

    (Folkhälsan Research Center
    University of Helsinki and Helsinki University Hospital
    University of Helsinki)

  • Anne Richmond

    (Western General Hospital
    Western General Hospital)

  • Stefan Mutter

    (Folkhälsan Research Center
    University of Helsinki and Helsinki University Hospital
    University of Helsinki)

  • Emma H. Dahlström

    (Folkhälsan Research Center
    University of Helsinki and Helsinki University Hospital
    University of Helsinki)

  • Archie Campbell

    (Western General Hospital)

  • David J. Porteous

    (Western General Hospital)

  • James F. Wilson

    (Western General Hospital
    Western General Hospital
    University of Edinburgh)

  • Per-Henrik Groop

    (Folkhälsan Research Center
    University of Helsinki and Helsinki University Hospital
    University of Helsinki
    Monash University)

  • Caroline Hayward

    (Western General Hospital
    Western General Hospital)

  • Niina Sandholm

    (Folkhälsan Research Center
    University of Helsinki and Helsinki University Hospital
    University of Helsinki)

Abstract

Dissecting the genetic mechanisms underlying urinary metabolite concentrations can provide molecular insights into kidney function and open possibilities for causal assessment of urinary metabolites with risk factors and disease outcomes. Proton nuclear magnetic resonance metabolomics provides a high-throughput means for urinary metabolite profiling, as widely applied for blood biomarker studies. Here we report a genome-wide association study meta-analysed for 3 European cohorts comprising 8,011 individuals, covering both people with type 1 diabetes and general population settings. We identify 54 associations (p

Suggested Citation

  • Erkka Valo & Anne Richmond & Stefan Mutter & Emma H. Dahlström & Archie Campbell & David J. Porteous & James F. Wilson & Per-Henrik Groop & Caroline Hayward & Niina Sandholm, 2025. "Genome-wide characterization of 54 urinary metabolites reveals molecular impact of kidney function," Nature Communications, Nature, vol. 16(1), pages 1-16, December.
    • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-024-55182-1
    DOI: 10.1038/s41467-024-55182-1
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