Suppr超能文献

日本人群长 QT 综合征的靶向深度测序分析。

Targeted deep sequencing analyses of long QT syndrome in a Japanese population.

机构信息

Bioresourse Research Center, Tokyo Medical and Dental University (TMDU), Tokyo, Japan.

Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU), Tokyo, Japan.

出版信息

PLoS One. 2022 Dec 8;17(12):e0277242. doi: 10.1371/journal.pone.0277242. eCollection 2022.

Abstract

Long QT syndrome (LQTS) is one of the most common inherited arrhythmias and multiple genes have been reported as causative. Presently, genetic diagnosis for LQTS patients is becoming widespread and contributing to implementation of therapies. However, causative genetic mutations cannot be detected in about 20% of patients. To elucidate additional genetic mutations in LQTS, we performed deep-sequencing of previously reported 15 causative and 85 candidate genes for this disorder in 556 Japanese LQTS patients. We performed in-silico filtering of the sequencing data and found 48 novel variants in 33 genes of 53 cases. These variants were predicted to be damaging to coding proteins or to alter the binding affinity of several transcription factors. Notably, we found that most of the LQTS-related variants in the RYR2 gene were in the large cytoplasmic domain of the N-terminus side. They might be useful for screening of LQTS patients who had no known genetic factors. In addition, when the mechanisms of these variants in the development of LQTS are revealed, it will be useful for early diagnosis, risk stratification, and selection of treatment.

摘要

长 QT 综合征 (LQTS) 是最常见的遗传性心律失常之一,已有多种基因被报道为致病基因。目前,LQTS 患者的基因诊断已广泛开展,并有助于实施治疗。然而,约 20%的患者无法检测到致病基因突变。为了阐明 LQTS 的其他遗传突变,我们对 556 名日本 LQTS 患者的 15 个致病基因和 85 个候选基因进行了深度测序。我们对测序数据进行了计算机模拟筛选,在 53 个病例的 33 个基因中发现了 48 个新的变异。这些变异被预测会破坏编码蛋白的功能,或改变几个转录因子的结合亲和力。值得注意的是,我们发现 RYR2 基因中的大多数与 LQTS 相关的变异位于 N 端侧的大细胞质结构域。这些变异可能有助于筛选没有已知遗传因素的 LQTS 患者。此外,当这些变异在 LQTS 发展中的作用机制被揭示后,将有助于早期诊断、风险分层和治疗选择。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bab/9731492/64837fbbe7d5/pone.0277242.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验