The Cytoscan HD Array in the Diagnosis of Neurodevelopmental Disorders.

Q2 Biochemistry, Genetics and Molecular Biology High-Throughput Pub Date : 2018-09-14 DOI:10.3390/ht7030028
Francesca Scionti, Maria Teresa Di Martino, Licia Pensabene, Valentina Bruni, Daniela Concolino
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引用次数: 17

Abstract

Submicroscopic chromosomal copy number variations (CNVs), such as deletions and duplications, account for about 15⁻20% of patients affected with developmental delay, intellectual disability, multiple congenital anomalies, and autism spectrum disorder. Most of CNVs are de novo or inherited rearrangements with clinical relevance, but there are also rare inherited imbalances with unknown significance that make difficult the clinical management and genetic counselling. Chromosomal microarrays analysis (CMA) are recognized as the first-line test for CNV detection and are now routinely used in the clinical diagnostic laboratory. The recent use of CMA platforms that combine classic copy number analysis with single-nucleotide polymorphism (SNP) genotyping has increased the diagnostic yields. Here we discuss the application of the Cytoscan high-density (HD) SNP-array for the detection of CNVs. We provide an overview of molecular analyses involved in identifying pathogenic CNVs and highlight important guidelines to establish pathogenicity of CNV.

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细胞扫描HD阵列在神经发育障碍诊断中的应用。
亚显微镜下的染色体拷贝数变异(CNVs),如缺失和重复,约占发育迟缓、智力残疾、多种先天性异常和自闭症谱系障碍患者的15% - 20%。大多数CNVs是从头开始或遗传重排与临床相关,但也有罕见的遗传不平衡与未知的意义,使临床管理和遗传咨询困难。染色体微阵列分析(CMA)被认为是检测CNV的一线检测方法,目前已被常规用于临床诊断实验室。最近使用结合经典拷贝数分析和单核苷酸多态性(SNP)基因分型的CMA平台提高了诊断产量。本文讨论了Cytoscan高密度(HD) snp阵列在CNVs检测中的应用。我们提供了分子分析涉及鉴定致病性CNV的概述,并强调了建立CNV致病性的重要指南。
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来源期刊
High-Throughput
High-Throughput Biochemistry, Genetics and Molecular Biology-Biotechnology
CiteScore
3.60
自引率
0.00%
发文量
0
审稿时长
9 weeks
期刊介绍: High-Throughput (formerly Microarrays, ISSN 2076-3905) is a multidisciplinary peer-reviewed scientific journal that provides an advanced forum for the publication of studies reporting high-dimensional approaches and developments in Life Sciences, Chemistry and related fields. Our aim is to encourage scientists to publish their experimental and theoretical results based on high-throughput techniques as well as computational and statistical tools for data analysis and interpretation. The full experimental or methodological details must be provided so that the results can be reproduced. There is no restriction on the length of the papers. High-Throughput invites submissions covering several topics, including, but not limited to: -Microarrays -DNA Sequencing -RNA Sequencing -Protein Identification and Quantification -Cell-based Approaches -Omics Technologies -Imaging -Bioinformatics -Computational Biology/Chemistry -Statistics -Integrative Omics -Drug Discovery and Development -Microfluidics -Lab-on-a-chip -Data Mining -Databases -Multiplex Assays
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