The Role of Ferroptosis-Related Genes in Chronic Kidney Disease from a Multi-Omics Perspective.

This dataset supports the master dissertation titled The Role of Ferroptosis-Related Genes in Chronic Kidney Disease (Zhiqi Liu, Zhengzhou University). All analytical data are de-identified summary-level public genetic datasets without individual human clinical raw samples, complying with privacy and ethics regulations. Data sources include four major open-access databases: 1) FerrDB V2 for 564 validated ferroptosis-related genes; 2) Blood multi-omics QTL summary data (mQTL, eQTL, pQTL) from independent European population cohorts (mQTL meta-analysis cohort, eQTLGen consortium, Pietzner plasma proteome GWAS); 3) CKD GWAS summary statistics (discovery cohort GCST008064, validation cohort FinnGen R10); 4) GTEx V8 renal cortex eQTL data and GEO GSE66494 renal biopsy transcriptome data for tissue validation. All analytical pipelines adopt Summary-data-based Mendelian Randomization (SMR), colocalization analysis and Wilcoxon differential expression test. Key variables include SNP genetic variants, CpG methylation probes, gene IDs, plasma protein markers, SMR statistical metrics (P-SMR, P-SMR-multi, P-HEIDI), odds ratios (OR), FDR, PPH4 colocalization posterior probability, and gene expression values of CKD/control kidney tissues. A README file is attached to this dataset archive, detailing complete database accession numbers, data download links, uniform R/SMR software parameters, statistical thresholds, gene annotation tables, and result table column-by-column variable explanations for reproducible reanalysis.