Metabolomics of Complex Traits III

A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Advances in Metabolomics".

Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 1827

Special Issue Editor

Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL‎ A1B 3V6, Canada
Interests: population-based studies; genomics; metabolomics; biomarker discovery; musculoskeletal diseases
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Metabolomics is a relatively young member of the -omics family, which uses state-of-the-art analytical chemistry techniques and advanced computational methods to comprehensively characterize small molecules (metabolites) in biological fluids and tissues. Metabolites represent both the downstream output of the genome and the upstream input from the environment and are directly linked to the cellular function and phenotypes. The study of metabolites not only enables the identification of disease biomarkers but also provides unique insights into the fundamental causes of disease. Recent advances in metabolomics technologies result in a growing number of applications in biomedical research of complex traits, and such applications have already identified a number of unexpected chemical causes or metabolic pathways for several important complex diseases, including atherosclerosis, diabetes, cancer, and osteoarthritis. In this Special issue, we seek both review articles and original research with a focus on studies of metabolomics in complex diseases and traits, which will provide all readers with an overview of the application of metabolomics in complex disease and summarize the most recent new knowledge and advances in the field.

Prof. Dr. Guangju Zhai
Guest Editor

Manuscript Submission Information

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Keywords

  • metabolomics (MS-based and NMR-based)
  • targeted and untargeted metabolomics
  • biomarker discovery
  • complex diseases and traits
  • pharmacometabolomics
  • precision medicine

Published Papers (1 paper)

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Research

13 pages, 1805 KiB  
Article
mGWAS-Explorer 2.0: Causal Analysis and Interpretation of Metabolite–Phenotype Associations
by Le Chang, Guangyan Zhou and Jianguo Xia
Metabolites 2023, 13(7), 826; https://doi.org/10.3390/metabo13070826 - 05 Jul 2023
Cited by 1 | Viewed by 1586
Abstract
Metabolomics-based genome-wide association studies (mGWAS) are key to understanding the genetic regulations of metabolites in complex phenotypes. We previously developed mGWAS-Explorer 1.0 to link single-nucleotide polymorphisms (SNPs), metabolites, genes and phenotypes for hypothesis generation. It has become clear that identifying potential causal relationships [...] Read more.
Metabolomics-based genome-wide association studies (mGWAS) are key to understanding the genetic regulations of metabolites in complex phenotypes. We previously developed mGWAS-Explorer 1.0 to link single-nucleotide polymorphisms (SNPs), metabolites, genes and phenotypes for hypothesis generation. It has become clear that identifying potential causal relationships between metabolites and phenotypes, as well as providing deep functional insights, are crucial for further downstream applications. Here, we introduce mGWAS-Explorer 2.0 to support the causal analysis between >4000 metabolites and various phenotypes. The results can be interpreted within the context of semantic triples and molecular quantitative trait loci (QTL) data. The underlying R package is released for reproducible analysis. Using two case studies, we demonstrate that mGWAS-Explorer 2.0 is able to detect potential causal relationships between arachidonic acid and Crohn’s disease, as well as between glycine and coronary heart disease. Full article
(This article belongs to the Special Issue Metabolomics of Complex Traits III)
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