Suppr超能文献

利用规模化多重扩增子长读测序方法进行从头突变的相位分析。

Phasing of de novo mutations using a scaled-up multiple amplicon long-read sequencing approach.

机构信息

Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.

Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboudumc, Nijmegen, The Netherlands.

出版信息

Hum Mutat. 2022 Nov;43(11):1545-1556. doi: 10.1002/humu.24450. Epub 2022 Sep 14.

Abstract

De novo mutations (DNMs) play an important role in severe genetic disorders that reduce fitness. To better understand their role in disease, it is important to determine the parent-of-origin and timing of mutational events that give rise to these mutations, especially in sex-specific developmental disorders such as male infertility. However, currently available short-read sequencing approaches are not ideally suited for phasing, as this requires long continuous DNA strands that span both the DNM and one or more informative single-nucleotide polymorphisms. To overcome these challenges, we optimized and implemented a multiplexed long-read sequencing approach using Oxford Nanopore technologies MinION platform. We focused on improving target amplification, integrating long-read sequenced data with high-quality short-read sequence data, and developing an anchored phasing computational method. This approach handled the inherent phasing challenges of long-range target amplification and the normal accumulation of sequencing error associated with long-read sequencing. In total, 77 of 109 DNMs (71%) were successfully phased and parent-of-origin identified. The majority of phased DNMs were prezygotic (90%), the accuracy of which is highlighted by an average mutant allele frequency of 49.6% and standard error of 0.84%. This study demonstrates the benefits of employing an integrated short-read and long-read sequencing approach for large-scale DNM phasing.

摘要

从头突变 (DNMs) 在降低适应度的严重遗传疾病中发挥着重要作用。为了更好地了解它们在疾病中的作用,确定导致这些突变的突变事件的亲本来源和时间非常重要,特别是在男性不育等性别特异性发育障碍中。然而,目前可用的短读测序方法并不适合分相,因为这需要跨越 DNM 以及一个或多个信息单核苷酸多态性的长连续 DNA 链。为了克服这些挑战,我们使用 Oxford Nanopore 技术 MinION 平台优化并实施了一种多路复用长读测序方法。我们专注于改进目标扩增,将长读测序数据与高质量短读序列数据集成,并开发了一种锚定分相计算方法。该方法处理了长距离目标扩增的固有分相挑战以及与长读测序相关的正常测序错误积累。总共,109 个 DNMs 中有 77 个(71%)成功分相并确定了亲本来源。大多数分相的 DNMs 是前合子的(90%),其平均突变等位基因频率为 49.6%,标准误差为 0.84%,这突出了其准确性。这项研究表明,采用整合的短读和长读测序方法进行大规模 DNM 分相具有优势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c022/9826063/66b6ce0ee0e6/HUMU-43-1545-g003.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验