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先天性心脏病的基因诊断率及新的致病基因

Genetic Diagnostic Yield and Novel Causal Genes of Congenital Heart Disease.

作者信息

Tan Meihua, Wang Xinrui, Liu Hongjie, Peng Xiaoyan, Yang You, Yu Haifei, Xu Liangpu, Li Jia, Cao Hua

机构信息

College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.

BGI Genomics Co., Ltd, Shenzhen, China.

出版信息

Front Genet. 2022 Jul 13;13:941364. doi: 10.3389/fgene.2022.941364. eCollection 2022.

Abstract

Congenital heart disease (CHD) is the most common congenital malformation in fetuses and neonates, which also represents a leading cause of mortality. Although significant progress has been made by emerging advanced technologies in genetic etiology diagnosis, the causative genetic mechanisms behind CHD remain poorly understood and more than half of CHD patients lack a genetic diagnosis. Unlike carefully designed large case-control cohorts by multicenter trials, we designed a reliable strategy to analyze case-only cohorts to utilize clinical samples sufficiently. Combined low-coverage whole-genome sequencing (WGS) and whole-exome sequencing (WES) were simultaneously conducted in a patient-only cohort for identifying genetic etiologies and exploring candidate, or potential causative CHD-related genes. A total of 121 sporadic CHD patients were recruited and 34.71% (95% CI, 26.80 to 43.56) was diagnosed with genetic etiologies by low-coverage WGS and WES. Chromosomal abnormalities and damaging variants of CHD-related genes could explain 24.79% (95% CI, 17.92 to 33.22) and 18.18% (95% CI, 12.26 to 26.06) of CHD patients, separately, and 8.26% (95% CI, 4.39 to 14.70) of them have simultaneously detected two types of variants. Deletion of chromosome 22q11.2 and pathogenic variants of the gene were the most common recurrent variants of chromosomal abnormalities and gene variants, respectively. By in-depth manual interpretation, we identified eight candidate CHD-causing genes. Based on rare disease-causing variants prediction and interaction analysis with definitive CHD association genes, we proposed 86 genes as potential CHD-related genes. Gene Ontology (GO) enrichment analysis of the 86 genes revealed regulation-related processes were significantly enriched and processes response to regulation of muscle adaptation might be one of the underlying molecular mechanisms of CHD. Our findings and results provide new insights into research strategies and underlying mechanisms of CHD.

摘要

先天性心脏病(CHD)是胎儿和新生儿中最常见的先天性畸形,也是导致死亡的主要原因。尽管新兴的先进技术在遗传病因诊断方面取得了重大进展,但CHD背后的致病遗传机制仍知之甚少,超过一半的CHD患者缺乏基因诊断。与多中心试验精心设计的大型病例对照队列不同,我们设计了一种可靠的策略来分析仅病例队列,以充分利用临床样本。在一个仅患者队列中同时进行了低覆盖全基因组测序(WGS)和全外显子组测序(WES),以确定遗传病因并探索候选或潜在的致病CHD相关基因。共招募了121例散发性CHD患者,通过低覆盖WGS和WES诊断出34.71%(95%CI,26.80至43.56)的患者有遗传病因。染色体异常和CHD相关基因的有害变异分别可解释24.79%(95%CI,17.92至33.22)和18.18%(95%CI,12.26至26.06)的CHD患者,其中8.26%(95%CI,4.39至14.70)同时检测到两种类型的变异。22q11.2染色体缺失和该基因的致病变异分别是染色体异常和基因变异中最常见的复发变异。通过深入的人工解读我们确定了八个候选CHD致病基因。基于罕见病致病变异预测以及与明确的CHD关联基因的相互作用分析,我们提出86个基因作为潜在的CHD相关基因。对这86个基因的基因本体(GO)富集分析显示,与调节相关的过程显著富集,对肌肉适应调节的反应过程可能是CHD的潜在分子机制之一。我们的发现和结果为CHD的研究策略和潜在机制提供了新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6125/9326225/d7895ca87e8b/fgene-13-941364-g001.jpg

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