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Methods to detect and analyze copy number variations at the genome-wide and locus-specific levels

机译:在基因组范围和基因座特异性水平上检测和分析拷贝数变异的方法

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摘要

Copy number variations (CNVs) have effects on phenotypes by altering transcription levels of genes and may have major impacts on protein sequence, structure and function. Therefore, CNV screening and analysis focused on the identification of CNV-genetic disease relations are actively progressing. CNVs can be detected and analyzed by various methodologies at the genome-wide and locus-specific levels. The genome-wide analysis of CNVs has been enhanced by bioinformatic tools for long-range sequence analysis, and comparative genome hybridization using microarrays containing either single nucleotide polymorphisms or bacterial artificial chromosome clones that represent the whole genome. RFLP followed by Southern blot analysis, quantitative real-time PCR,pyrosequencing, ligation detection reaction and the invader assay have become the main tools for locus-specific analysis so far. In this review, we present a brief principle, application history, and strengths and weaknesses of the methods used to detect CNVs at the genome-wide and locus-specific levels.
机译:拷贝数变异(CNV)通过改变基因的转录水平对表型产生影响,并且可能对蛋白质序列,结构和功能产生重大影响。因此,侧重于识别CNV-遗传疾病关系的CNV筛选和分析正在积极地进行。可以通过全基因组和基因座特异性水平的各种方法检测和分析CNV。 CNV的全基因组分析已通过用于远距离序列分析的生物信息学工具和使用包含单个核苷酸多态性或代表整个基因组的细菌人工染色体克隆的微阵列进行比较基因组杂交得到了增强。迄今为止,RFLP,Southern印迹分析,定量实时PCR,焦磷酸测序,连接检测反应和入侵检测已成为进行基因座特异性分析的主要工具。在这篇综述中,我们介绍了一个简短的原理,应用历史以及在基因组范围和基因座特异性水平上检测CNV的方法的优缺点。

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