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提高家族性神经鞘瘤病致病性变异检测的灵敏度。

Improved sensitivity for detection of pathogenic variants in familial -related schwannomatosis.

机构信息

Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, UK.

Division of Evolution, Infection and Genomics, School of Biological Sciences, The University of Manchester, Manchester, UK.

出版信息

J Med Genet. 2024 Apr 19;61(5):452-458. doi: 10.1136/jmg-2023-109586.

Abstract

PURPOSE

To determine the impact of additional genetic screening techniques on the rate of detection of pathogenic variants leading to familial -related schwannomatosis.

METHODS

We conducted genetic screening of a cohort of 168 second-generation individuals meeting the clinical criteria for -related schwannomatosis. In addition to the current clinical screening techniques, targeted next-generation sequencing (NGS) and multiplex ligation-dependent probe amplification analysis, we applied additional genetic screening techniques, including karyotype and RNA analysis. For characterisation of a complex structural variant, we also performed long-read sequencing analysis.

RESULTS

Additional genetic analysis resulted in increased sensitivity of detection of pathogenic variants from 87% to 95% in our second-generation -related schwannomatosis cohort. A number of pathogenic variants identified through extended analysis had been previously observed after NGS analysis but had been overlooked or classified as variants of uncertain significance.

CONCLUSION

Our study indicates there is added value in performing additional genetic analysis for detection of pathogenic variants that are difficult to identify with current clinical genetic screening methods. In particular, RNA analysis is valuable for accurate classification of non-canonical splicing variants. Karyotype analysis and whole genome sequencing analysis are of particular value for identification of large and/or complex structural variants, with additional advantages in the use of long-read sequencing techniques.

摘要

目的

确定额外的遗传筛选技术对检测导致家族性神经鞘瘤病的致病性变异的发生率的影响。

方法

我们对符合神经鞘瘤病临床标准的 168 名第二代个体队列进行了遗传筛选。除了当前的临床筛选技术外,我们还应用了靶向下一代测序(NGS)和多重连接依赖性探针扩增分析等额外的遗传筛选技术,包括核型和 RNA 分析。对于复杂结构变异的特征描述,我们还进行了长读测序分析。

结果

在我们的第二代神经鞘瘤病队列中,额外的遗传分析使致病性变异的检测敏感性从 87%提高到 95%。通过扩展分析确定的一些致病性变异在 NGS 分析后已经观察到,但被忽视或归类为意义不明的变异。

结论

我们的研究表明,对于使用当前临床遗传筛选方法难以识别的致病性变异,进行额外的遗传分析具有附加价值。特别是,RNA 分析对于准确分类非典型剪接变异很有价值。核型分析和全基因组测序分析对于鉴定大的和/或复杂的结构变异特别有价值,使用长读测序技术具有额外的优势。

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