A study by Huiwen Ke integrates summary statistics from a large-scale IBS genome-wide association study involving 53,400 cases and 433,201 controls with expression quantitative trait loci data. The analysis evaluates the causal effects of 5,642 potential druggable protein-coding genes on IBS risk, identifying eight candidate genes. The dataset was last updated on May 18, 2026.
Use Cases
- Prioritizing genetically validated drug targets for IBS based on Mendelian randomization results
- Assessing potential on-target adverse effects using phenome-wide association study (PheWAS) findings
- Predicting therapeutic compounds for candidate targets via molecular docking and the Drug Signatures Database
- Validating causal gene associations with colocalization analysis
Strengths
- Integrates summary statistics from a large GWAS with 53,400 IBS cases and 433,201 controls
- Evaluates causal effects for 5,642 potential druggable protein-coding genes
- Includes validation steps via colocalization analysis and PheWAS
Limitations
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is unknown, which may limit suitability assessment
- The dataset is small (101.1 KB), indicating limited scope
Provenance
- Source
- figshare
- Collection Method
- Systematic druggable genome-wide Mendelian randomization analysis integrating GWAS and eQTL data
- Freshness
- Last updated 2026-05-18 22:02:55; freshness should be verified