Trans-ancestry GWAS identifies 59 loci and improves risk prediction and fine-mapping for kidney stone disease
Xi Cao, Minghui Jiang, Yunlong Guan, Si Li, Chen Duan, Yan Gong, Yifan Kong, Zhonghe Shao, WU Hong-ji, Xiangyang Yao, Bo Li, Miao Wang, Hua Xu, Xingjie Hao
Abstract
, those in the lowest and highest quintiles exhibit distinct kidney stone disease risks with odds ratios of 0.57 (0.51-0.63) and 1.83 (1.68-1.98), respectively. Our results suggest that kidney stone disease patients with higher polygenic risk scores are younger at onset. In summary, our study advances the understanding of kidney stone disease genetic architecture and improves its genetic predictability.
Topics & Concepts
Genome-wide association studyComputational biologyBiologyGeneticsEvolutionary biologyMedicineSingle-nucleotide polymorphismGenotypeGeneKidney Stones and Urolithiasis TreatmentsRenal Diseases and GlomerulopathiesPediatric Urology and Nephrology Studies