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Diagnostic yield of next-generation sequencing in 87 families with neurodevelopmental disorders

外显子组测序 人类遗传学 DNA测序 遗传学 遗传异质性 生物 鉴定(生物学) 基因检测 智力残疾 自闭症 全基因组测序 神经发育障碍 医学遗传学 自闭症谱系障碍 突变 计算生物学 疾病 基因 基因组 医学 表型 病理 精神科 植物
作者
María Isabel Álvarez‐Mora,Aurora Sánchez,Laia Rodríguez‐Revenga,Jordi Corominas,Raquel Rabionet,Susana Puig,Irene Madrigal
出处
期刊:Orphanet Journal of Rare Diseases [BioMed Central]
卷期号:17 (1) 被引量:40
标识
DOI:10.1186/s13023-022-02213-z
摘要

Abstract Background Neurodevelopmental disorders (NDDs) are a group of heterogeneous conditions, which include mainly intellectual disability, developmental delay (DD) and autism spectrum disorder (ASD), among others. These diseases are highly heterogeneous and both genetic and environmental factors play an important role in many of them. The introduction of next generation sequencing (NGS) has lead to the detection of genetic variants in several genetic diseases. The main aim of this report is to discuss the impact and advantages of the implementation of NGS in the diagnosis of NDDs. Herein, we report diagnostic yields of applying whole exome sequencing in 87 families affected by NDDs and additional data of whole genome sequencing (WGS) from 12 of these families. Results The use of NGS technologies allowed identifying the causative gene alteration in approximately 36% (31/87) of the families. Among them, de novo mutation represented the most common cause of genetic alteration found in 48% (15/31) of the patients with diagnostic mutations. The majority of variants were located in known neurodevelopmental disorders genes. Nevertheless, some of the diagnoses were made after the use of GeneMatcher tools which allow the identification of additional patients carrying mutations in THOC2 , SETD1B and CHD9 genes. Finally the use of WGS only allowed the identification of disease causing variants in 8% (1/12) of the patients in which previous WES failed to identify a genetic aetiology. Conclusion NGS is more powerful in identifying causative pathogenic variant than conventional algorithms based on chromosomal microarray as first-tier test. Our results reinforce the implementation of NGS as a first-test in genetic diagnosis of NDDs.
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