Genomic SEM-derived GWAS Summary Statistics and AlphaFold3-predicted Protein Structures for Insulin Resistance

The genomic files include summary-level association statistics for the latent factor constructed from publicly available GWAS summary statistics of fasting insulin, insulin sensitivity index, triglycerides, and waist-to-hip ratio. These data support SNP-level association analysis, risk locus definition, functional annotation, Bayesian fine-mapping, TWAS/FOCUS-based candidate gene prioritization, and enrichment analyses.

The structural files include AlphaFold3-predicted PDBx/mmCIF models of wild-type and mutant candidate proteins, including BCL2-W188G, GDF5-C400Y, and RSPO3-C129Y, which were used for ThermoMPNN-based thermal stability prediction and molecular dynamics simulation. No individual-level genotype, phenotype, or clinical data are included.