Genetics unravels protein-metabolite relationships

James R Hilser; Aldons J Lusis; Hooman Allayee

doi:10.1016/j.tem.2024.01.008

Genetics unravels protein-metabolite relationships

Trends Endocrinol Metab. 2024 Mar;35(3):183-184. doi: 10.1016/j.tem.2024.01.008. Epub 2024 Jan 31.

Authors

James R Hilser¹, Aldons J Lusis², Hooman Allayee³

Affiliations

¹ Department of Population & Public Health Science, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Department of Biochemistry & Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
² Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA; Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA; Department of Microbiology, Immunology, and Molecular Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.
³ Department of Population & Public Health Science, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Department of Biochemistry & Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA. Electronic address: hallayee@usc.edu.

PMID: 38302401
PMCID: PMC10939837 (available on 2025-03-01)
DOI: 10.1016/j.tem.2024.01.008

Abstract

Integrating molecular traits into genetic studies enhances our understanding of how DNA variation influences complex clinical and physiological phenotypes. In a recent article, Benson and colleagues apply this systems genetics approach with proteomics and metabolomics data in plasma from humans to identify and validate several previously unrecognized causal protein-metabolite associations.

Keywords: Mendelian randomization; metabolomics; proteomics; systems genetics.

MeSH terms

Genome-Wide Association Study
Humans
Metabolomics*
Phenotype
Proteomics*

Abstract

MeSH terms

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