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拷贝数变异的靶向筛查与验证

Targeted screening and validation of copy number variations.

作者信息

Ceulemans Shana, van der Ven Karlijn, Del-Favero Jurgen

机构信息

Applied Molecular Genomics Unit, VIB, Department of Molecular Genetics, Flanders, Belgium.

出版信息

Methods Mol Biol. 2012;838:311-28. doi: 10.1007/978-1-61779-507-7_15.

Abstract

The accessibility of genome-wide screening technologies considerably facilitated the identification and characterization of copy number variations (CNVs). The increasing amount of available data describing these variants, clearly demonstrates their abundance in the human genome. This observation shows that not only SNPs, but also CNVs and other structural variants strongly contribute to genetic variation. Even though not all structural variants have an obvious phenotypic effect, there is evidence that CNVs influence gene dosage and hence can have profound effects on human disease susceptibility, disease manifestation, and disease severity. Therefore, CNV screening and analysis methodologies, specifically focusing on disease-related CNVs are actively progressing. This chapter specifically describes different techniques currently available for the targeted screening and validation of CNVs. We not only provide an overview of all these CNV analysis methods, but also address their strong and weak points. Methods covered include fluorescence in situ hybridization (FISH), quantitative real-time PCR (qPCR), paralogue ratio test (PRT), molecular copy-number counting (MCC), and multiplex PCR-based approaches, such as multiplex amplifiable probe hybridization (MAPH), multiplex ligation-dependent probe amplification (MLPA), multiplex PCR-based real-time invader assay (mPCR-RETINA), quantitative multiplex PCR of short fluorescent fragments (QMPSF), and multiplex amplicon quantification (MAQ). We end with some general remarks and conclusions, furthermore briefly addressing the future perspectives.

摘要

全基因组筛选技术的可及性极大地促进了拷贝数变异(CNV)的识别与表征。描述这些变异的可用数据量不断增加,清楚地表明了它们在人类基因组中的丰富性。这一观察结果表明,不仅单核苷酸多态性(SNP),而且CNV和其他结构变异也对遗传变异有很大贡献。尽管并非所有结构变异都有明显的表型效应,但有证据表明CNV会影响基因剂量,因此可能对人类疾病易感性、疾病表现和疾病严重程度产生深远影响。因此,专门针对与疾病相关的CNV的筛选和分析方法正在积极发展。本章具体描述了目前可用于CNV靶向筛选和验证的不同技术。我们不仅概述了所有这些CNV分析方法,还讨论了它们的优缺点。涵盖的方法包括荧光原位杂交(FISH)、定量实时聚合酶链反应(qPCR)、旁系同源比率测试(PRT)、分子拷贝数计数(MCC)以及基于多重聚合酶链反应的方法,如多重可扩增探针杂交(MAPH)、多重连接依赖探针扩增(MLPA)、基于多重聚合酶链反应的实时入侵检测(mPCR-RETINA)、短荧光片段的定量多重聚合酶链反应(QMPSF)和多重扩增子定量(MAQ)。我们以一些一般性的评论和结论作为结尾,此外还简要探讨了未来的前景。

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