Genetic Architecture of Childhood Kidney and Urological Diseases in China
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Published:2021-06
Issue:3
Volume:1
Page:91-104
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ISSN:2730-583X
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Container-title:Phenomics
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language:en
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Short-container-title:Phenomics
Author:
Fang Ye, Shi Hua, Xiang Tianchao, Liu Jiaojiao, Liu Jialu, Tang Xiaoshan, Fang Xiaoyan, Chen Jing, Zhai Yihui, Shen Qian, Li Guomin, Sun Li, Bi Yunli, Wang Xiang, Qian Yanyan, Wu Bingbing, Wang Huijun, Zhou Wenhao, Ma Duan, Mao Jianhua, Jiang Xiaoyun, Sun Shuzhen, Shen Ying, Liu Xiaorong, Zhang Aihua, Wang Xiaowen, Huang Wenyan, Li Qiu, Wang Mo, Gao Xiaojie, Wu Yubin, Deng Fang, Zhang Ruifeng, Liu Cuihua, Yu Li, Zhuang Jieqiu, Sun Qing, Dang Xiqiang, Bai Haitao, Zhu Ying, Lu Siguang, Zhang Bili, Shao Xiaoshan, Liu Xuemei, Han Mei, Zhao Lijun, Liu Yuling, Gao Jian, Bao Ying, Zhang Dongfeng, Ma Qingshan, Zhao Liping, Xia Zhengkun, Lu Biao, Wang Yulong, Zhao Mengzhun, Zhang Jianjiang, Jian Shan, He Guohua, Zhang Huifeng, Zhao Bo, LI Xiaohua, Wang Feiyan, Li Yufeng, Zhu Hongtao, Luo Xinhui, Li Jinghai, Rao JiaORCID, Xu Hong
Abstract
AbstractKidney disease is manifested in a wide variety of phenotypes, many of which have an important hereditary component. To delineate the genotypic and phenotypic spectrum of pediatric nephropathy, a multicenter registration system is being implemented based on the Chinese Children Genetic Kidney Disease Database (CCGKDD). In this study, all the patients with kidney and urological diseases were recruited from 2014 to 2020. Genetic analysis was conducted using exome sequencing for families with multiple affected individuals with nephropathy or clinical suspicion of a genetic kidney disease owing to early-onset or extrarenal features. The genetic diagnosis was confirmed in 883 of 2256 (39.1%) patients from 23 provinces in China. Phenotypic profiles showed that the primary diagnosis included steroid-resistant nephrotic syndrome (SRNS, 23.5%), glomerulonephritis (GN, 32.2%), congenital anomalies of the kidney and urinary tract (CAKUT, 21.2%), cystic renal disease (3.9%), renal calcinosis/stone (3.6%), tubulopathy (9.7%), and chronic kidney disease of unknown etiology (CKDu, 5.8%). The pathogenic variants of 105 monogenetic disorders were identified. Ten distinct genomic disorders were identified as pathogenic copy number variants (CNVs) in 11 patients. The diagnostic yield differed by subgroups, and was highest in those with cystic renal disease (66.3%), followed by tubulopathy (58.4%), GN (57.7%), CKDu (43.5%), SRNS (29.2%), renal calcinosis /stone (29.3%) and CAKUT (8.6%). Reverse phenotyping permitted correct identification in 40 cases with clinical reassessment and unexpected genetic conditions. We present the results of the largest cohort of children with kidney disease in China where diagnostic exome sequencing was performed. Our data demonstrate the utility of family-based exome sequencing, and indicate that the combined analysis of genotype and phenotype based on the national patient registry is pivotal to the genetic diagnosis of kidney disease.
Funder
National Natural Science Foundation of China Program of Shanghai Academic/Technology Research Leader Chinese Academy of Medical Sciences
Publisher
Springer Science and Business Media LLC
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