<p>Results for proteomic-wide MR.</p>

A 1.0 MB Excel file uploaded on April 16, 2026 by Guoqiang Li contains results from a systematic multi-omics Mendelian randomization analysis. The study used proteomic and transcriptomic quantitative trait loci resources applied to genome-wide association studies of four glomerulonephritis subtypes: acute, chronic, IgA nephropathy, and membranous nephropathy. It includes replication and meta-analysis results from the FinnGen cohort and translational annotations.

Use Cases

• Identify causal protein targets for glomerulonephritis subtypes based on proteomic-wide MR results
• Validate candidate genes for kidney disorders using transcriptomic-wide MR results across subtypes
• Prioritize therapeutic targets for drug repurposing based on Bayesian colocalization and translational annotations
• Compare genetic architecture across GN subtypes using replication and meta-analysis results from the FinnGen cohort

Strengths

• Results are supported by Bayesian colocalization analysis with strong support for shared causal variants (PPH4 > 0.8)
• Includes independent replication and meta-analysis using the FinnGen cohort for consistency
• Integrates multi-omics data (proteomic and transcriptomic QTLs) applied to GWAS of four distinct GN subtypes

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment

Provenance

Source

figshare

Collection Method

Systematic multi-omics Mendelian randomization analysis using pQTL/eQTL resources and GWAS data.

Freshness

Last updated 2026-04-16 17:46:14