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Genome-wide association study of serum liver enzymes implicates diverse metabolic and liver pathology

Author

Listed:
  • Vincent L. Chen

    (University of Michigan Health System
    University of Michigan Medical School)

  • Xiaomeng Du

    (University of Michigan Health System)

  • Yanhua Chen

    (University of Michigan Health System)

  • Annapurna Kuppa

    (University of Michigan Health System)

  • Samuel K. Handelman

    (University of Michigan Health System
    University of Michigan Medical School)

  • Rishel B. Vohnoutka

    (University of Michigan Health System)

  • Patricia A. Peyser

    (University of Michigan School of Public Health)

  • Nicholette D. Palmer

    (Wake Forest School of Medicine)

  • Lawrence F. Bielak

    (University of Michigan School of Public Health)

  • Brian Halligan

    (University of Michigan Health System)

  • Elizabeth K. Speliotes

    (University of Michigan Health System
    University of Michigan Medical School)

Abstract

Serum liver enzyme concentrations are the most frequently-used laboratory markers of liver disease, a major cause of mortality. We conduct a meta-analysis of genome-wide association studies of liver enzymes from UK BioBank and BioBank Japan. We identified 160 previously-unreported independent alanine aminotransferase, 190 aspartate aminotransferase, and 199 alkaline phosphatase genome-wide significant associations, with some affecting multiple different enzymes. Associated variants implicate genes that demonstrate diverse liver cell type expression and promote a range of metabolic and liver diseases. These findings provide insight into the pathophysiology of liver and other metabolic diseases that are associated with serum liver enzyme concentrations.

Suggested Citation

  • Vincent L. Chen & Xiaomeng Du & Yanhua Chen & Annapurna Kuppa & Samuel K. Handelman & Rishel B. Vohnoutka & Patricia A. Peyser & Nicholette D. Palmer & Lawrence F. Bielak & Brian Halligan & Elizabeth , 2021. "Genome-wide association study of serum liver enzymes implicates diverse metabolic and liver pathology," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-020-20870-1
    DOI: 10.1038/s41467-020-20870-1
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    Cited by:

    1. Younghun Han & Jinyoung Byun & Catherine Zhu & Ryan Sun & Julia Y. Roh & Heather J. Cordell & Hyun-Sung Lee & Vikram R. Shaw & Sung Wook Kang & Javad Razjouyan & Matthew A. Cooley & Manal M. Hassan & , 2023. "Multitrait genome-wide analyses identify new susceptibility loci and candidate drugs to primary sclerosing cholangitis," Nature Communications, Nature, vol. 14(1), pages 1-13, December.

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