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


ABSTRACT: 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.

SUBMITTER: Chang L 

PROVIDER: S-EPMC9230867 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature

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

Chang Le L   Zhou Guangyan G   Ou Huiting H   Xia Jianguo J  

Metabolites 20220607 6


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 d  ...[more]

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