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基于焦磷酸测序的新一代测序系统中同源聚合物检测的分析参数和验证。

Analytical parameters and validation of homopolymer detection in a pyrosequencing-based next generation sequencing system.

机构信息

Department of Laboratory Medicine, University of Debrecen, Nagyerdei krt. 98, Debrecen, H-4032, Hungary.

Division of Clinical Genetics, University of Debrecen, Nagyerdei krt. 98, Debrecen, H-4032, Hungary.

出版信息

BMC Genomics. 2018 Feb 21;19(1):158. doi: 10.1186/s12864-018-4544-x.

Abstract

BACKGROUND

Current technologies in next-generation sequencing are offering high throughput reads at low costs, but still suffer from various sequencing errors. Although pyro- and ion semiconductor sequencing both have the advantage of delivering long and high quality reads, problems might occur when sequencing homopolymer-containing regions, since the repeating identical bases are going to incorporate during the same synthesis cycle, which leads to uncertainty in base calling. The aim of this study was to evaluate the analytical performance of a pyrosequencing-based next-generation sequencing system in detecting homopolymer sequences using homopolymer-preintegrated plasmid constructs and human DNA samples originating from patients with cystic fibrosis.

RESULTS

In the plasmid system average correct genotyping was 95.8% in 4-mers, 87.4% in 5-mers and 72.1% in 6-mers. Despite the experienced low genotyping accuracy in 5- and 6-mers, it was possible to generate amplicons with more than a 90% adequate detection rate in every homopolymer tract. When homopolymers in the CFTR gene were sequenced average accuracy was 89.3%, but varied in a wide range (52.2 - 99.1%). In all but one case, an optimal amplicon-sequencing primer combination could be identified. In that single case (7A tract in exon 14 (c.2046_2052)), none of the tested primer sets produced the required analytical performance.

CONCLUSIONS

Our results show that pyrosequencing is the most reliable in case of 4-mers and as homopolymer length gradually increases, accuracy deteriorates. With careful primer selection, the NGS system was able to correctly genotype all but one of the homopolymers in the CFTR gene. In conclusion, we configured a plasmid test system that can be used to assess genotyping accuracy of NGS devices and developed an accurate NGS assay for the molecular diagnosis of CF using self-designed primers for amplification and sequencing.

摘要

背景

新一代测序技术的现有技术以低成本提供高通量读数,但仍存在各种测序错误。虽然焦磷酸测序和离子半导体测序都具有提供长而高质量读数的优势,但在测序含有同源多聚体区域时可能会出现问题,因为在同一个合成循环中会掺入重复的相同碱基,从而导致碱基调用不确定。本研究旨在评估基于焦磷酸测序的下一代测序系统在使用同源多聚体预集成质粒构建体和源自囊性纤维化患者的人 DNA 样本检测同源多聚体序列方面的分析性能。

结果

在质粒系统中,4 聚体的平均正确基因分型率为 95.8%,5 聚体为 87.4%,6 聚体为 72.1%。尽管在 5 聚体和 6 聚体中经历了低基因分型准确性,但在每个同源多聚体区都能够生成超过 90%的适当检测率的扩增子。当 CFTR 基因中的同源多聚体被测序时,平均准确性为 89.3%,但范围很广(52.2-99.1%)。除了一种情况外,都可以确定最佳的扩增子测序引物组合。在唯一的一种情况下(外显子 14 中的 7A 区(c.2046_2052)),没有一组测试引物产生所需的分析性能。

结论

我们的结果表明,焦磷酸测序在 4 聚体的情况下最可靠,随着同源多聚体长度逐渐增加,准确性会恶化。通过仔细选择引物,NGS 系统能够正确基因分型 CFTR 基因中的所有但一个同源多聚体。总之,我们构建了一个质粒测试系统,可用于评估 NGS 设备的基因分型准确性,并使用自行设计的扩增和测序引物开发了用于 CF 分子诊断的准确 NGS 检测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f81/5822529/279a2e86c03d/12864_2018_4544_Fig5_HTML.jpg

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