结合染色体构象捕获和外显子组测序,同时检测结构和单核苷酸变异。

IF 10.4 1区 生物学 Q1 GENETICS & HEREDITY
Maria Gridina, Timofey Lagunov, Polina Belokopytova, Nikita Torgunakov, Miroslav Nuriddinov, Artem Nurislamov, Lyudmila P Nazarenko, Anna A Kashevarova, Maria E Lopatkina, Stanislav Vasilyev, Andrey Zuev, Elena O Belyaeva, Olga A Salyukova, Aleksandr D Cheremnykh, Natalia N Sukhanova, Marina E Minzhenkova, Zhanna G Markova, Nina A Demina, Yana Stepanchuk, Anna Khabarova, Alexandra Yan, Emil Valeev, Galina Koksharova, Elena V Grigor'eva, Natalia Kokh, Tatiana Lukjanova, Yulia Maximova, Elizaveta Musatova, Elena Shabanova, Andrey Kechin, Evgeniy Khrapov, Uliana Boyarskih, Oxana Ryzhkova, Maria Suntsova, Alina Matrosova, Mikhail Karoli, Andrey Manakhov, Maxim Filipenko, Evgeny Rogaev, Nadezhda V Shilova, Igor N Lebedev, Veniamin Fishman
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引用次数: 0

摘要

背景:先天性疾病的有效分子诊断依赖于全面的基因组分析,传统上依赖于针对每种变异类型的各种方法——单核苷酸变异(snv)的全外显子组或基因组测序,拷贝数变异(cnv)的阵列CGH,结构变异(SVs)的显微镜。方法:我们介绍了一种新的综合方法,将外显子组测序与染色体构象捕获相结合,称为Exo-C。该方法能够同时鉴定临床相关基因中的snv和整个基因组中的SVs,并允许分析杂合和马赛克载体。随着靶向长读测序的增强,Exo-C发展成为一种具有成本效益的解决方案,能够以碱基对的精度解决复杂的sv。结果:Exo-C对66份人染色体易位和snv检测的召回率为100%,准确率为73%。我们进一步对其在反转和cnv方面的性能进行了基准测试,并展示了其在检测镶嵌SVs和解决诊断上具有挑战性的病例方面的实用性。结论:通过几个案例研究,我们展示了Exo-C的多方面应用如何有效地揭示罕见疾病患者的各种致病变异并阐明疾病机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Combining chromosome conformation capture and exome sequencing for simultaneous detection of structural and single-nucleotide variants.

Background: Effective molecular diagnosis of congenital diseases hinges on comprehensive genomic analysis, traditionally reliant on various methodologies specific to each variant type-whole exome or genome sequencing for single nucleotide variants (SNVs), array CGH for copy-number variants (CNVs), and microscopy for structural variants (SVs).

Methods: We introduce a novel, integrative approach combining exome sequencing with chromosome conformation capture, termed Exo-C. This method enables the concurrent identification of SNVs in clinically relevant genes and SVs across the genome and allows analysis of heterozygous and mosaic carriers. Enhanced with targeted long-read sequencing, Exo-C evolves into a cost-efficient solution capable of resolving complex SVs at base-pair accuracy.

Results: Applied to 66 human samples Exo-C achieved 100% recall and 73% precision in detecting chromosomal translocations and SNVs. We further benchmarked its performance for inversions and CNVs and demonstrated its utility in detecting mosaic SVs and resolving diagnostically challenging cases.

Conclusions: Through several case studies, we demonstrate how Exo-C's multifaceted application can effectively uncover diverse causative variants and elucidate disease mechanisms in patients with rare disorders.

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来源期刊
Genome Medicine
Genome Medicine GENETICS & HEREDITY-
CiteScore
20.80
自引率
0.80%
发文量
128
审稿时长
6-12 weeks
期刊介绍: Genome Medicine is an open access journal that publishes outstanding research applying genetics, genomics, and multi-omics to understand, diagnose, and treat disease. Bridging basic science and clinical research, it covers areas such as cancer genomics, immuno-oncology, immunogenomics, infectious disease, microbiome, neurogenomics, systems medicine, clinical genomics, gene therapies, precision medicine, and clinical trials. The journal publishes original research, methods, software, and reviews to serve authors and promote broad interest and importance in the field.
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