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利用全外显子组测序技术结合生物信息学分析检测法洛四联症患儿的基因变异

Detection of Genetic Variations in Children with Tetralogy of Fallot Using Whole Exome Sequencing Technology Integrated Bioinformatics Analysis.

作者信息

Abdullahi Khalid Mohamoud, Ali Ahmed Faisal, Adan Mohamed Mohamoud, Shu Qiang

机构信息

Department of Cardiac Surgery, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, No. 3333 Binsheng Road, Hangzhou, China.

Department of Infectious Disease, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.

出版信息

Genet Test Mol Biomarkers. 2024 Dec;28(12):474-484. doi: 10.1089/gtmb.2024.0350. Epub 2024 Dec 9.

Abstract

Tetralogy of Fallot (TOF) is the most common cyanotic heart defect in newborns, with a complex etiology and genetic variation considered to be one of the main pathogenic factors. Identifying genetic variations associated with TOF has important clinical value for understanding its pathogenesis, patient susceptibility, and prognosis of patients with TOF. Therefore, this study aimed to identify potential pathogenic genes of TOF through comprehensive genetic analysis. In this study, we employed whole exome sequencing (WES) of the DNA of 47 Chinese children who received surgical TOF treatment at the Children's Hospital of Zhejiang University of Medicine and processed for DNA extraction and quantification of the DNA following WES using the Illumina NovaSeq platform. WES data undergo strict quality control and analysis processes including alignment, postprocessing, variant calling, annotation, and prioritization. Key tools, such as GATK's haplotype calling module and Annotate Variation, were used for variant annotation. In addition, by combining bioinformatics tools such as SIFT, Polyphen2, and Clin Pred, we evaluated the potential impact of nonsynonymous mutations on protein function and referred to relevant literature to support our prediction. Comprehensive data analysis and quality assessment analysis corroborated the data generated from the WES dataset of 47 patients with TOF. Interpreting variants from the perspective of clinical pathogenicity results revealed a novel polymorphism and variant associated with TOF. The identified genetic results revealed evidence for a major contribution of MUTYH, RARB, GFM1, PDZD2, CEP57, DCPS, POMT2, BUB1B, CYP19A1, MAZ, USP10, and TCF3 and provided novel findings for functionally interacting proteins associated with the pathomechanism of TOF. Seven pathogenic variants related to TOF were detected, most of which were previously unreported in this cohort. The genetic variations discovered in this study emphasize the importance of genetic factors in the pathogenesis of TOF, revealing its complex molecular pathways and protein-protein interactions. The study of genetic diversity provides a new perspective for understanding the etiology of TOF and promotes an in-depth exploration of its pathological mechanisms. These findings lay the foundation for subsequent clinical research and the development of treatment strategies.

摘要

法洛四联症(TOF)是新生儿中最常见的发绀型心脏缺陷,病因复杂,基因变异被认为是主要致病因素之一。识别与TOF相关的基因变异对于理解其发病机制、患者易感性以及TOF患者的预后具有重要的临床价值。因此,本研究旨在通过全面的基因分析来识别TOF的潜在致病基因。在本研究中,我们对47名在浙江大学医学院附属儿童医院接受TOF手术治疗的中国儿童的DNA进行了全外显子测序(WES),并使用Illumina NovaSeq平台在WES后进行DNA提取和DNA定量。WES数据经过严格的质量控制和分析过程,包括比对、后处理、变异调用、注释和优先级排序。使用关键工具,如GATK的单倍型调用模块和变异注释工具,对变异进行注释。此外,通过结合SIFT、Polyphen2和Clin Pred等生物信息学工具,我们评估了非同义突变对蛋白质功能的潜在影响,并参考相关文献来支持我们的预测。综合数据分析和质量评估分析证实了47例TOF患者WES数据集中产生的数据。从临床致病性结果的角度解释变异,发现了一种与TOF相关的新型多态性和变异。所确定的基因结果揭示了MUTYH、RARB、GFM1、PDZD2、CEP57、DCPS、POMT2、BUB1B、CYP19A1、MAZ、USP10和TCF3的主要贡献证据,并为与TOF发病机制相关的功能相互作用蛋白提供了新的发现。检测到7个与TOF相关的致病变异,其中大多数在此队列中以前未被报道。本研究中发现的基因变异强调了遗传因素在TOF发病机制中的重要性,揭示了其复杂的分子途径和蛋白质 - 蛋白质相互作用。遗传多样性研究为理解TOF的病因提供了新的视角,并促进了对其病理机制的深入探索。这些发现为后续的临床研究和治疗策略的开发奠定了基础。

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