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Structural variants: changing the landscape of chromosomes and design of disease studies

机译:结构变异:改变染色体的格局和疾病研究的设计

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摘要

The near completeness of human chromosome sequences is facilitating accurate characterization and assessment of all classes of genomic variation. Particularly, using the DNA reference sequence as a guide, genome scanning technologies, such as microarray-based comparative genomic hybridization (array CGH) and genome-wide single nucleotide polymorphism (SNP) platforms, have now enabled the detection of a previously unrecognized degree of larger-sized (non-SNP) variability in all genomes. This heterogeneity can include copy number variations (CNVs), inversions, insertions, deletions and other complex rearrangements, most of which are not detected by standard cytogenetics or DNA sequencing. Although these genomic alterations (collectively termed structural variants or polymorphisms) have been described previously, mainly through locus-specific studies, they are now known to be more global in occurrence. Moreover, as just one example, CNVs can contain entire genes and their number can correlate with the level of gene expression. It is also plausible that structural variants may commonly influence nearby genes through chromosomal positional or domain effects. Here, we discuss what is known of the prevalence of structural variants in the human genome and how they might influence phenotype, including the continuum of etiologic events underlying monogenic to complex diseases. Particularly, we highlight the newest studies and some classic examples of how structural variants might have adverse genetic consequences. We also discuss why analysis of structural variants should become a vital step in any genetic study going forward. All these progresses have set the stage for a golden era of combined microscopic and sub-microscopic (cytogenomic)-based research of chromosomes leading to a more complete understanding of the human genome.
机译:人类染色体序列的近乎完整性正在促进准确表征和评估所有类别的基因组变异。特别是,以DNA参考序列为指导,基因组扫描技术,例如基于微阵列的比较基因组杂交(阵列CGH)和全基因组范围的单核苷酸多态性(SNP)平台,现已能够检测出先前无法识别的所有基因组中的较大(非SNP)变异。这种异质性可以包括拷贝数变异(CNV),倒位,插入,缺失和其他复杂的重排,其中大多数不能通过标准细胞遗传学或DNA测序检测到。尽管这些基因组改变(统称为结构变体或多态性)先前已经进行了描述,主要是通过基因座特异性研究进行了描述,但现在已知它们的发生更为普遍。而且,仅作为一个例子,CNV可以包含完整的基因,并且其数目可以与基因表达的水平相关。也有可能结构变异通常会通过染色体的位置或结构域效应影响附近的基因。在这里,我们讨论了人类基因组中结构变异的普遍性以及它们如何影响表型,包括复杂疾病单基因病的病因事件的连续性。特别是,我们重点介绍了最新研究和一些经典例子,这些例子说明了结构变异可能如何产生不利的遗传后果。我们还将讨论为什么结构变异分析应该成为今后任何遗传研究中至关重要的一步。所有这些进展为基于微观和亚微观(细胞基因组)的染色体组合研究的黄金时代奠定了基础,从而使人们对人类基因组有了更全面的了解。

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