通过长线程测序和光学基因组图谱全面鉴定未解决的结构变异

Griet De Clercq, Lies Vantomme, Barbara Dewaele, Bert Callewaert, Olivier Vanakker, Sandra Janssens, Bart Loeys, Mojca Strazisar, Wouter De Coster, Joris R Vermeesch, Annelies Dheedene, Björn Menten
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引用次数: 0

摘要

结构变异(SV)是导致人类疾病的重要因素。然而,由于它们的大小以及与重复区域的关联,对它们进行表征仍然很困难。长读数测序(LRS)和光学基因组测绘(OGM)可以帮助我们,因为它们的分子跨度达多个千碱基,可以完整地捕捉 SVs。在这项研究中,我们选取了六个出现未解决 SV 的个体。我们将 LRS 应用于所有个体,将 OGM 应用于三个复杂病例的子集。LRS 检测并完全解析了所有样本中的 SV。这使得我们能够对两名患者进行精确的分子诊断。总体而言,LRS 在单碱基对水平上鉴定出了 100% 的连接点,无需额外的数据源就能深入了解其形成机制。OGM 的应用增加了直接的变异分期,有助于揭示复杂的重排。这些结果凸显了 LRS 和 OGM 作为完整 SV 特征描述的后续分子检验的潜力。我们发现,它们能以前所未有的分辨率评估与临床相关的结构变异。此外,它们还能检测出传统方法所遗漏的(复杂)隐性重排。这最终提高了诊断率,强调了它们在诊断中的额外优势。为了帮助它们的快速应用,我们在本手稿中提供了详细的实验室和生物信息学工作流程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Full characterization of unresolved structural variation through long-read sequencing and optical genome mapping
Structural variants (SVs) are important contributors to human disease. Their characterization remains however difficult due to their size and association with repetitive regions. Long-read sequencing (LRS) and optical genome mapping (OGM) can aid as their molecules span multiple kilobases and capture SVs in full. In this study, we selected six individuals who presented with unresolved SVs. We applied LRS onto all individuals and OGM to a subset of three complex cases. LRS detected and fully resolved the interrogated SV in all samples. This enabled a precise molecular diagnosis in two individuals. Overall, LRS identified 100% of the junctions at single-basepair level, providing valuable insights into their formation mechanisms without need for additional data sources. Application of OGM added straightforward variant phasing, aiding in the unravelment of complex rearrangements. These results highlight the potential of LRS and OGM as follow-up molecular tests for complete SV characterization. We show that they can assess clinically relevant structural variation at unprecedented resolution. Additionally, they detect (complex) cryptic rearrangements missed by conventional methods. This ultimately leads to an increased diagnostic yield, emphasizing their added benefit in a diagnostic setting. To aid their rapid adoption, we provide detailed laboratory and bioinformatics workflows in this manuscript.
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