阿尔波特综合征
遗传学
生物
DNA测序
计算生物学
人类遗传学
纳米孔测序
大规模并行测序
遗传建筑学
基因组
基因组学
全基因组测序
结构变异
突变
深度测序
桑格测序
基因
遗传变异
非编码DNA
遗传变异
突变
基因检测
拷贝数变化
遗传异质性
编码区
个性化医疗
个人基因组学
人类基因组
基因组DNA
外显子组测序
序列(生物学)
生物信息学
1000基因组计划
序列分析
核糖核酸
作者
Hongling Di,Zhen You,Lu Wang,QingRong Sun,Jiahui Zhang,Qi Lv,Pei Wang,Ze Lai,Gang Wang,Chunxia Zheng,Liang Gong,Yang Liu
标识
DOI:10.1038/s41467-026-70936-9
摘要
Alport syndrome (AS) is a prevalent inherited kidney disorder mainly caused by mutations in COL4A3, COL4A4, and COL4A5 genes. To elucidate the genetic variants of AS, we implemented a sequential sequencing strategy within a Chinese cohort of 555 patients, comprising whole-exome sequencing (WES) for all participants, followed by whole-genome sequencing (WGS), RNA sequencing (RNA-seq), and nanopore long-read sequencing (NLR-seq) for selected individuals. We identify 431 distinct variants in 509 (91.7%) patients, with 42.2% being novel. Beyond WES, additional sequencing approaches resolve 23 patients with noncoding, copy number, or structural variants. Notably, noncoding variants account for 16.2% of detected variants and exhibit ethnic-specific mutagenesis patterns. More interestingly, NLR-seq uncovers two novel types of structural variants, namely large insertions in intronic regions and complex duplication-inversion variants. This study provides deeper insights into the genetic architecture of AS and proposes a research paradigm for improving the genetic diagnosis of inherited diseases. Alport syndrome has diverse genetic causes that are often hard to detect. Here, the authors use a layered sequencing strategy in a large Chinese cohort to uncover coding and noncoding variants, including novel structural types, refining the genetic diagnosis of inherited kidney disease.
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