一种结合高深度全外显子组和低深度全基因组的经济高效的基因研究测序方法。

IF 4.7 2区 医学 Q1 GENETICS & HEREDITY
Claude Bhérer, Robert Eveleigh, Katerina Trajanoska, Janick St-Cyr, Antoine Paccard, Praveen Nadukkalam Ravindran, Elizabeth Caron, Nimara Bader Asbah, Peyton McClelland, Clare Wei, Iris Baumgartner, Marc Schindewolf, Yvonne Döring, Danielle Perley, François Lefebvre, Pierre Lepage, Mathieu Bourgey, Guillaume Bourque, Jiannis Ragoussis, Vincent Mooser, Daniel Taliun
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引用次数: 0

摘要

高深度(30 倍)全基因组测序(WGS)可准确发现编码和非编码 DNA 区域的变异,有助于阐明人类健康和疾病的遗传基础。然而,由于高深度 WGS 的成本过高,大多数大规模遗传关联研究都使用基因分型阵列或高深度全外显子测序(WES)。在这里,我们提出了一种经济有效的方法,我们称之为 "全外显子组测序"(WEGS),它结合了低深度 WGS 和高深度 WES,最多可将 8 个样本集中起来同时测序(多重测序)。我们通过实验评估了 WEGS 在四种不同覆盖深度和样本复用配置下的性能。我们发现,最佳 WEGS 配置的成本是标准 WES(无复用)的 1.7-2.0 倍,是高深度 WGS 的 1.8-2.1 倍,在检测编码变异方面的召回率和精确率与 WES 相似,并能在基因组的其余部分捕获到更多的群体特异性变异,而这些变异在使用基因型归因方法时很难恢复。我们将 WEGS 应用于 862 名外周动脉疾病患者,结果表明,与典型的基因分型阵列和每个疾病相关位点的数千个不可推算变异相比,它能直接评估更多的已知疾病相关变异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A cost-effective sequencing method for genetic studies combining high-depth whole exome and low-depth whole genome.

A cost-effective sequencing method for genetic studies combining high-depth whole exome and low-depth whole genome.

Whole genome sequencing (WGS) at high-depth (30X) allows the accurate discovery of variants in the coding and non-coding DNA regions and helps elucidate the genetic underpinnings of human health and diseases. Yet, due to the prohibitive cost of high-depth WGS, most large-scale genetic association studies use genotyping arrays or high-depth whole exome sequencing (WES). Here we propose a cost-effective method which we call "Whole Exome Genome Sequencing" (WEGS), that combines low-depth WGS and high-depth WES with up to 8 samples pooled and sequenced simultaneously (multiplexed). We experimentally assess the performance of WEGS with four different depth of coverage and sample multiplexing configurations. We show that the optimal WEGS configurations are 1.7-2.0 times cheaper than standard WES (no-plexing), 1.8-2.1 times cheaper than high-depth WGS, reach similar recall and precision rates in detecting coding variants as WES, and capture more population-specific variants in the rest of the genome that are difficult to recover when using genotype imputation methods. We apply WEGS to 862 patients with peripheral artery disease and show that it directly assesses more known disease-associated variants than a typical genotyping array and thousands of non-imputable variants per disease-associated locus.

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来源期刊
NPJ Genomic Medicine
NPJ Genomic Medicine Biochemistry, Genetics and Molecular Biology-Molecular Biology
CiteScore
9.40
自引率
1.90%
发文量
67
审稿时长
17 weeks
期刊介绍: npj Genomic Medicine is an international, peer-reviewed journal dedicated to publishing the most important scientific advances in all aspects of genomics and its application in the practice of medicine. The journal defines genomic medicine as "diagnosis, prognosis, prevention and/or treatment of disease and disorders of the mind and body, using approaches informed or enabled by knowledge of the genome and the molecules it encodes." Relevant and high-impact papers that encompass studies of individuals, families, or populations are considered for publication. An emphasis will include coupling detailed phenotype and genome sequencing information, both enabled by new technologies and informatics, to delineate the underlying aetiology of disease. Clinical recommendations and/or guidelines of how that data should be used in the clinical management of those patients in the study, and others, are also encouraged.
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