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与神经发育障碍病理生理机制相关的基因组畸变。

Genomic Aberrations Associated with the Pathophysiological Mechanisms of Neurodevelopmental Disorders.

机构信息

Institute of Medical Genetics, Tokyo Women's Medical University, Tokyo 162-8666, Japan.

出版信息

Cells. 2021 Sep 4;10(9):2317. doi: 10.3390/cells10092317.

Abstract

Genomic studies are increasingly revealing that neurodevelopmental disorders are caused by underlying genomic alterations. Chromosomal microarray testing has been used to reliably detect minute changes in genomic copy numbers. The genes located in the aberrated regions identified in patients with neurodevelopmental disorders may be associated with the phenotypic features. In such cases, haploinsufficiency is considered to be the mechanism, when the deletion of a gene is related to neurodevelopmental delay. The loss-of-function mutation in such genes may be evaluated using next-generation sequencing. On the other hand, the patients with increased copy numbers of the genes may exhibit different clinical symptoms compared to those with loss-of-function mutation in the genes. In such cases, the additional copies of the genes are considered to have a dominant negative effect, inducing cell stress. In other cases, not the copy number changes, but mutations of the genes are responsible for causing the clinical symptoms. This can be explained by the dominant negative effects of the gene mutations. Currently, the diagnostic yield of genomic alterations using comprehensive analysis is less than 50%, indicating the existence of more subtle alterations or genomic changes in the untranslated regions. Copy-neutral inversions and insertions may be related. Hence, better analytical algorithms specialized for the detection of such alterations are required for higher diagnostic yields.

摘要

基因组研究越来越多地揭示,神经发育障碍是由潜在的基因组改变引起的。染色体微阵列测试已被用于可靠地检测基因组拷贝数的微小变化。位于神经发育障碍患者异常区域的基因可能与表型特征相关。在这种情况下,当一个基因的缺失与神经发育迟缓有关时,杂合不足被认为是一种机制。可以使用下一代测序来评估这些基因中的功能丧失突变。另一方面,与基因功能丧失突变相比,基因拷贝数增加的患者可能表现出不同的临床症状。在这种情况下,基因的额外拷贝被认为具有显性负效应,诱导细胞应激。在其他情况下,导致临床症状的不是基因的拷贝数变化,而是基因突变。这可以用基因突变的显性负效应来解释。目前,使用综合分析的基因组改变的诊断率低于 50%,表明存在更多细微的改变或非翻译区的基因组变化。拷贝中性反转和插入可能有关。因此,需要专门用于检测这些改变的更好的分析算法来提高诊断率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a014/8470284/05d74b68539d/cells-10-02317-g001.jpg

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