Suppr超能文献

下一代测序作为珠蛋白基因簇重排中断点分析的工具。

Next-generation sequencing as a tool for breakpoint analysis in rearrangements of the globin gene clusters.

作者信息

Clark B E, Shooter C, Smith F, Brawand D, Thein S L

机构信息

Department of Molecular Pathology, Viapath at King's College Hospital NHS Foundation Trust, London, UK.

Faculty of Life Sciences and Medicine, Molecular Haematology, Division of Cancer Studies, King's College London, London, UK.

出版信息

Int J Lab Hematol. 2017 May;39 Suppl 1:111-120. doi: 10.1111/ijlh.12680.

Abstract

INTRODUCTION

Next-generation sequencing (NGS), now embedded within genomic laboratories, is well suited to the detection of small sequence changes but is less well adapt for detecting structural variants (SV), mainly due to the relatively short sequence reads. Of the available target enrichment methods, bait capture or whole-genome sequencing appears better suited to detecting SV as there is less PCR amplification and is therefore more representative of the genome being sequenced.

MATERIAL AND METHODS

In 2015, we described the first inversion/deletion causing εγδβ- thalassemia using an NGS approach, with base-pair resolution. Bioinformatic processing of the sequencing data was manual and time-consuming. The methodology relied on detecting the presence or absence of the SV by assessing sequence coverage and then mapping the deletion by capturing and sequencing breakpoint spanning reads (split reads). In the period between developing more automated analytical methods, we identified the first duplication of the entire beta globin cluster.

RESULTS

Detecting the presence of the SV is reliable but capturing the breakpoint spanning reads is challenging. Confirmation by Sanger sequencing a breakpoint spanning amplicon has confirmed the NGS results in all cases.

CONCLUSIONS

We have now streamlined and automated the bioinformatic approach using Exome Depth to assess sequence coverage and Delly to detect split and discordant reads. The combined NGS and bioinformatic strategy has proven to be highly successful and applicable to routine diagnostics.

摘要

引言

新一代测序(NGS)如今已融入基因组实验室,非常适合检测小序列变化,但不太适合检测结构变异(SV),主要原因是序列读长相对较短。在现有的目标富集方法中,诱饵捕获或全基因组测序似乎更适合检测SV,因为其PCR扩增较少,因此更能代表所测序的基因组。

材料与方法

2015年,我们首次使用NGS方法,以碱基对分辨率描述了导致 εγδβ-地中海贫血的首次倒位/缺失。测序数据的生物信息学处理是手动且耗时的。该方法依靠通过评估序列覆盖度来检测SV的存在与否,然后通过捕获和测序跨越断点的读段(分裂读段)来定位缺失。在开发更自动化的分析方法期间,我们鉴定出了整个β珠蛋白基因簇的首次重复。

结果

检测SV的存在是可靠的,但捕获跨越断点的读段具有挑战性。通过桑格测序对跨越断点的扩增子进行验证,在所有病例中均证实了NGS结果。

结论

我们现在已使用外显子深度来评估序列覆盖度,并使用Delly来检测分裂读段和不一致读段,从而简化并自动化了生物信息学方法。NGS与生物信息学相结合的策略已被证明非常成功且适用于常规诊断。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验