ArticleMetabolites2022
mGWAS-Explorer: Linking SNPs, Genes, Metabolites, and Diseases for Functional Insights.
Article in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Genome-wide association studies of missing metabolite measures from two population-based studies.Genome biology · 2026Article
- Population-based genome-wide association study of plasma complex lipid species.Nature communications · 2026Article
- Multiple trait association analysis revealed common genetic loci between lung cancer and heart failure.Cardio-oncology (London, England) · 2026Article
- On the analysis of metabolite quantitative trait loci: Impact of different data transformations and study designs.Science advances · 2025Article
- Current approaches and outstanding challenges of functional annotation of metabolites: a comprehensive review.Briefings in bioinformatics · 2024Review
- Bioinformatics Analysis and Validation of Potential Markers Associated with Prediction and Prognosis of Gastric Cancer.International journal of molecular sciences · 2024Review
- MetaboAnalystR 4.0: a unified LC-MS workflow for global metabolomics.Nature communications · 2024Article
- Gene-metabolite annotation with shortest reactional distance enhances metabolite genome-wide association studies results.iScience · 2023Article
- Metabolomic epidemiology offers insights into disease aetiology.Nature metabolism · 2023Review
- mGWAS-Explorer 2.0: Causal Analysis and Interpretation of Metabolite-Phenotype Associations.Metabolites · 2023Article
- Integrating Multi-Omics Analysis for Enhanced Diagnosis and Treatment of Glioblastoma: A Comprehensive Data-Driven Approach.Cancers · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
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.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.