Potential circadian rhythm-related pathogenic genes in diabetic nephropathy: a multi-omics

A multi-omics Mendelian randomization study identifies genetic links between circadian rhythm dysfunction and diabetic nephropathy. It includes summary statistics from major GWAS consortia and FinnGen, with validation in the GEO dataset GSE96804. The dataset contains results for 395 methylation loci, 29 genes, and 5 proteins linked to the disease.

Use Cases

• Prioritize therapeutic targets based on identified genes like BICC1, ANKIB1, KIF11, and GNAI2.
• Validate predicted transcription factor regulators such as IRF2 in follow-up experiments.
• Screen potential drug candidates like calycosin, nitrofural, and nobiletin using molecular docking results.

Strengths

• Identifies 62 methylation loci, 5 genes, and 1 protein replicated as associated with diabetic nephropathy.
• Uses multi-omics QTL data (mQTL, eQTL, pQTL) from blood-derived sources.
• Includes validation in kidney tissue samples from diabetic nephropathy patients.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect bias inherent to the specific GWAS consortia and FinnGen sources used.

Provenance

Source

GWAS summary statistics from major consortia and FinnGen.

Collection Method

Summary-data-based Mendelian Randomization (SMR) and colocalization analyses.

Freshness

Last updated 2026-05-25 01:20:13; freshness should be verified.