Gut Microbiota and Metabolite Associations with Oral Cancer via Mendelian Randomization
by Junfeng Guo·Updated 18d ago
2.5 MB1files
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Description
A 2026 analysis by Junfeng Guo uses bidirectional two-sample Mendelian randomization to explore causal links between gut microbiota, circulating metabolites, and oral cancer. The study integrates data from genome-wide association studies for 471 gut microbial taxa, 233 circulating metabolites, and oral cancer, with findings validated using clinical multi-omics samples. It identifies specific microbial taxa and metabolites with positive or negative causal relationships to oral cancer, including mediated pathways.
Use Cases
Identify potential causal gut microbial taxa for oral cancer risk based on reported odds ratios and p-values.
Investigate the mediating role of specific circulating metabolites like citrate and omega-3 fatty acids in the gut-oral cancer relationship.
Validate Mendelian randomization findings using independent clinical multi-omics profiling data mentioned in the description.
Explore genetic instrument data from genome-wide association studies for 471 microbial taxa and 233 metabolites.
Strengths
Analysis is based on data from genome-wide association studies for 471 gut microbial taxa and 233 circulating metabolites.
Employs multiple Mendelian randomization methods (IVW-MR, GSMR) and reports checks for pleiotropy and heterogeneity.
Findings are supported by clinical validation using multi-omics profiling.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
The primary data file is a 2.5 MB DOCX document, which may not be a standard format for structured data analysis.
Provenance
Source
Junfeng Guo via figshare.
Collection Method
Bidirectional two-sample Mendelian randomization analysis using summary statistics from genome-wide association studies, supplemented by clinical sample validation.
Freshness
Last updated 2026-05-21 05:45:50; freshness should be verified.
License is CC-BY-4.0. The dataset is a 2.5 MB DOCX file; users may need to extract structured data from the document for analysis.