Urolithiasis, a common urological disorder affecting about 10% of the global population, is known for its high recurrence rate, yet its genetic mechanisms remain poorly understood. This study aimed to fill this gap by identifying potential pathogenic genes associated with urolithiasis using a multi-omics Mendelian randomization approach. We conducted a comprehensive analysis that integrated genome-wide association studies (GWAS), expression quantitative trait loci (eQTL), methylation quantitative trait loci (mQTL), and protein quantitative trait loci (pQTL) data.
View Article and Find Full Text PDF