Genome-Wide Association Analysis of Protein-Coding Variants in IgA Nephropathy

非同义代换 外显子组 全基因组关联研究 肾病 生物 遗传关联 遗传学 外显子组测序 基因 免疫学 单核苷酸多态性 基因组 突变 基因型 内分泌学 糖尿病
作者
Ming Li,Yan‐na Wang,Ling Wang,Wee-Yang Meah,Dianchun Shi,Kee Heng,Li Wang,Chiea Chuen Khor,Jin‐Xin Bei,Ching‐Yu Cheng,Tin Aung,Yunhua Liao,Qinkai Chen,Jieruo Gu,Ruixuan Chen,Jimmy Lee,Siow‐Ann Chong,Mythily Subramaniam,Jia Nee Foo,F. Cai,Gengru Jiang,Gang Xu,Jianxin Wan,Meng‐Hua Chen,Peiran Yin,Xiuqing Dong,Shaozhen Feng,Xueqing Tang,Zhong Zhong,Eng‐King Tan,Nan Chen,Hong Zhang,Fei Liu,E Shyong Tai,Jing Liu,Xueqing Yu
出处
期刊:Journal of The American Society of Nephrology 卷期号:34 (11): 1900-1913 被引量:4
标识
DOI:10.1681/asn.0000000000000222
摘要

Significance Statement Genome-wide association studies have identified nearly 20 IgA nephropathy susceptibility loci. However, most nonsynonymous coding variants, particularly ones that occur rarely or at a low frequency, have not been well investigated. The authors performed a chip-based association study of IgA nephropathy in 8529 patients with the disorder and 23,224 controls. They identified a rare variant in the gene encoding vascular endothelial growth factor A (VEGFA) that was significantly associated with a two-fold increased risk of IgA nephropathy, which was further confirmed by sequencing analysis. They also identified a novel common variant in PKD1L3 that was significantly associated with lower haptoglobin protein levels. This study, which was well-powered to detect low-frequency variants with moderate to large effect sizes, helps expand our understanding of the genetic basis of IgA nephropathy susceptibility. Background Genome-wide association studies have identified nearly 20 susceptibility loci for IgA nephropathy. However, most nonsynonymous coding variants, particularly those occurring rarely or at a low frequency, have not been well investigated. Methods We performed a three-stage exome chip–based association study of coding variants in 8529 patients with IgA nephropathy and 23,224 controls, all of Han Chinese ancestry. Sequencing analysis was conducted to investigate rare coding variants that were not covered by the exome chip. We used molecular dynamic simulation to characterize the effects of mutations of VEGFA on the protein's structure and function. We also explored the relationship between the identified variants and the risk of disease progression. Results We discovered a novel rare nonsynonymous risk variant in VEGFA (odds ratio, 1.97; 95% confidence interval [95% CI], 1.61 to 2.41; P = 3.61×10 −11 ). Further sequencing of VEGFA revealed twice as many carriers of other rare variants in 2148 cases compared with 2732 controls. We also identified a common nonsynonymous risk variant in PKD1L3 (odds ratio, 1.16; 95% CI, 1.11 to 1.21; P = 1.43×10 −11 ), which was associated with lower haptoglobin protein levels. The rare VEGFA mutation could cause a conformational change and increase the binding affinity of VEGFA to its receptors. Furthermore, this variant was associated with the increased risk of kidney disease progression in IgA nephropathy (hazard ratio, 2.99; 95% CI, 1.09 to 8.21; P = 0.03). Conclusions Our study identified two novel risk variants for IgA nephropathy in VEGFA and PKD1L3 and helps expand our understanding of the genetic basis of IgA nephropathy susceptibility.
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