ArticleMetabolites2023
mGWAS-Explorer 2.0: Causal Analysis and Interpretation of Metabolite-Phenotype Associations.
Article in Metabolites, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Causality between immune cells and HER2-breast cancer: A 2‑sample Mendelian randomization study.Medicine · 2026Article
- Exploring a genetic basis for the metabolic perturbations in ME/CFS using UK biobank.iScience · 2026Article
- Mendelian Randomization Study on Serum Metabolites and Diabetic Nephropathy Risk: Identifying Potential Biomarkers for Early Intervention.Current pharmaceutical design · 2026Article
- Integrative Omics Defines Metabolic Biomarkers and Genetic Regulatory Mechanisms of Mortality Risk.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Metabolomics Spectral Processing, Data Analysis, and Multiomics Integration Using MetaboAnalyst 6.0.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Causal relationship and shared genetic pathways between diabetic kidney disease and cognitive impairment: a Mendelian randomization study.Renal failure · 2025Article
- Associations between cutaneous melanoma and prostate cancer: A bidirectional 2-sample Mendelian randomization study.Medicine · 2025Article
- Causal relationships between metabolic syndrome, plasma metabolites, and female reproductive diseases: insights from a two-step mendelian randomization approach.Nutrition & metabolism · 2025Article
- On the analysis of metabolite quantitative trait loci: Impact of different data transformations and study designs.Science advances · 2025Article
- Association of diabetic nephropathy with lipid metabolism: a Mendelian randomization study.Diabetology & metabolic syndrome · 2025Article
- Novel anti-inflammatory properties of mannose oligosaccharides in the treatment of inflammatory bowel disease via LGALS3 modulation.NPJ biofilms and microbiomes · 2025Article
- Bidirectional two-sample Mendelian randomization analysis unveils causal association between inflammatory cytokines and the risk of diabetic nephropathy.Scientific reports · 2024Article
- Current approaches and outstanding challenges of functional annotation of metabolites: a comprehensive review.Briefings in bioinformatics · 2024Review
- A mendelian randomization study investigating the causal relationships between 1400 serum metabolites and autoimmune diseases.Heliyon · 2024Article
- MetaboAnalyst 6.0: towards a unified platform for metabolomics data processing, analysis and interpretation.Nucleic acids research · 2024Article
- Association of inflammatory cytokines with type 2 diabetes mellitus and diabetic nephropathy: a bidirectional Mendelian randomization study.Frontiers in medicine · 2024Article
- Leveraging molecular quantitative trait loci to comprehend complex diseases/traits from the omics perspective.Human genetics · 2023Review
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3 authors.
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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 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.
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