GWIZ

GWIZ is an R package designed to assess the predictive capabilities of biomarkers derived from genome-wide association studies (GWAS). GWAS have identified significant single nucleotide polymorphisms (SNPs) for various diseases and conditions, but their predictive power is not well understood. The package utilizes summary-level GWAS data to generate receiver-operator characteristic (ROC) curves and calculate the area under the ROC curve (AUROC) as a measure of predictive accuracy. G-WIZ was validated using both patient-level SNP data and literature-reported AUROC values, demonstrating less than 3% error in predicting AUROCs.

Using summary GWAS data from GWAS Central, G-WIZ analyzed 569 GWAS studies across 219 conditions, revealing that a few studies had high AUROCs (>0.75), while the average study had an AUROC of 0.55 for multi-SNP risk predictors. The tool's calculations, including ROC curves, AUROCs, and explained heritability, are available in the publicly accessible GWAS-ROCS database (http://gwasrocs.ca).