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Copy number variation in the genome; the human DMD gene as an example

机译:基因组中拷贝数变异;以人类DMD基因为例

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Recent developments have yielded new technologies that have greatly simplified the detection of deletions and duplications, i.e., copy number variants (CNVs). These technologies can be used to screen for CNVs in and around specific genomic regions, as well as genome-wide. Several genome-wide studies have demonstrated that CNV in the human genome is widespread and may include millions of nucleotides. One of the questions that emerge is which sequences, structures and/or processes are involved in their generation. Using as an example the human DMD gene, mutations in which cause Duchenne and Becker muscular dystrophy, we review the current data, determine the deletion and duplication profile across the gene and summarize the information that has been collected regarding their origin. In addition we discuss the methods most frequently used for their detection, in particular MAPH and MLPA. Copyright (c) 2006 S. Karger AG, Basel
机译:最近的发展产生了新技术,这些新技术极大地简化了对删除和重复的检测,即拷贝数变体(CNV)。这些技术可用于筛选特定基因组区域内和周围以及全基因组内的CNV。几项全基因组研究表明,人类基因组中的CNV广泛存在,可能包含数百万个核苷酸。出现的问题之一是哪些序列,结构和/或过程涉及其生成。以人类DMD基因为例,其中的突变会引起Duchenne和Becker肌肉营养不良,我们回顾了当前数据,确定了该基因的缺失和重复情况,并总结了已收集的有关其起源的信息。此外,我们讨论了最常用于检测它们的方法,尤其是MAPH和MLPA。版权所有(c)2006 S.Karger AG,巴塞尔

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