mGWAS-Explorer: Linking SNPs, Genes, Metabolites, and Diseases for Functional Insights

Tens of thousands of single-nucleotide polymorphisms (SNPs) have been identified to be significantly associated with metabolite abundance in over 65 genome-wide association studies with metabolomics (mGWAS) to date. Obtaining mechanistic or functional insights from these associations for translation...

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Autores principales: Chang, Le, Zhou, Guangyan, Ou, Huiting, Xia, Jianguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9230867/
https://www.ncbi.nlm.nih.gov/pubmed/35736459
http://dx.doi.org/10.3390/metabo12060526
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author Chang, Le
Zhou, Guangyan
Ou, Huiting
Xia, Jianguo
author_facet Chang, Le
Zhou, Guangyan
Ou, Huiting
Xia, Jianguo
author_sort Chang, Le
collection PubMed
description Tens of thousands of single-nucleotide polymorphisms (SNPs) have been identified to be significantly associated with metabolite abundance in over 65 genome-wide association studies with metabolomics (mGWAS) to date. Obtaining mechanistic or functional insights from these associations for translational applications has become a key research area in the mGWAS community. Here, we introduce mGWAS-Explorer, a user-friendly web-based platform to help connect SNPs, metabolites, genes, and their known disease associations via powerful network visual analytics. The application of the mGWAS-Explorer was demonstrated using a COVID-19 and a type 2 diabetes case studies.
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spelling pubmed-92308672022-06-25 mGWAS-Explorer: Linking SNPs, Genes, Metabolites, and Diseases for Functional Insights Chang, Le Zhou, Guangyan Ou, Huiting Xia, Jianguo Metabolites Article Tens of thousands of single-nucleotide polymorphisms (SNPs) have been identified to be significantly associated with metabolite abundance in over 65 genome-wide association studies with metabolomics (mGWAS) to date. Obtaining mechanistic or functional insights from these associations for translational applications has become a key research area in the mGWAS community. Here, we introduce mGWAS-Explorer, a user-friendly web-based platform to help connect SNPs, metabolites, genes, and their known disease associations via powerful network visual analytics. The application of the mGWAS-Explorer was demonstrated using a COVID-19 and a type 2 diabetes case studies. MDPI 2022-06-07 /pmc/articles/PMC9230867/ /pubmed/35736459 http://dx.doi.org/10.3390/metabo12060526 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chang, Le
Zhou, Guangyan
Ou, Huiting
Xia, Jianguo
mGWAS-Explorer: Linking SNPs, Genes, Metabolites, and Diseases for Functional Insights
title mGWAS-Explorer: Linking SNPs, Genes, Metabolites, and Diseases for Functional Insights
title_full mGWAS-Explorer: Linking SNPs, Genes, Metabolites, and Diseases for Functional Insights
title_fullStr mGWAS-Explorer: Linking SNPs, Genes, Metabolites, and Diseases for Functional Insights
title_full_unstemmed mGWAS-Explorer: Linking SNPs, Genes, Metabolites, and Diseases for Functional Insights
title_short mGWAS-Explorer: Linking SNPs, Genes, Metabolites, and Diseases for Functional Insights
title_sort mgwas-explorer: linking snps, genes, metabolites, and diseases for functional insights
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9230867/
https://www.ncbi.nlm.nih.gov/pubmed/35736459
http://dx.doi.org/10.3390/metabo12060526
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AT xiajianguo mgwasexplorerlinkingsnpsgenesmetabolitesanddiseasesforfunctionalinsights

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