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Genome-wide association study of serum liver enzymes implicates diverse metabolic and liver pathology
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Genome-wide association study of serum liver enzymes implicates diverse metabolic and liver pathology
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Journal Article
Genome-wide association study of serum liver enzymes implicates diverse metabolic and liver pathology
2021
Overview
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.
Serum liver enzymes are used as markers of liver disease, their concentration influenced in part by genetic factors. Here the authors meta-analyse genome-wide association studies on the UK Biobank and BioBank Japan to evaluate the association of three liver enzymes with liver and other metabolic diseases.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
/ 692/53
/ Alanine
/ Alanine Transaminase - blood
/ Alanine Transaminase - genetics
/ Alkaline Phosphatase - blood
/ Alkaline Phosphatase - genetics
/ Aspartate Aminotransferases - blood
/ Aspartate Aminotransferases - genetics
/ Biobanks
/ Endothelial Cells - enzymology
/ Endothelial Cells - pathology
/ Enzymes
/ Genome-wide association studies
/ Genome-Wide Association Study
/ Genomes
/ Humanities and Social Sciences
/ Humans
/ Japan
/ Killer Cells, Natural - enzymology
/ Killer Cells, Natural - pathology
/ Liver
/ Liver Diseases - classification
/ Markers
/ Quantitative Trait, Heritable
/ Science
