Quan Jing, Xiao Yan-Qun, Lu Da-Ru, Bao Yun
Shanghai Clinical Laboratory Center, Shanghai 200126, China.
School of Life Sciences, Fudan University, Shanghai 200438, China.
Yi Chuan. 2025 Apr;47(4):428-436. doi: 10.16288/j.yczz.24-192.
In the continuous progression of genomic research, an increasing number of investigations have revealed that structural variations (SVs) hold a vital role in human evolution and the pathogenesis of diseases. Consequently, SVs have attracted extensive attention within the realm of clinical research.In recent years, optical genome mapping (OGM), which represents a high-resolution, ultra-long-read, automated, non-sequencing genomic detection technique, has exhibited remarkable advantages in the exploration of structural variations. When compared with karyotyping, fluorescence hybridization (FISH), chromosomal microarray analysis (CMA), and high-throughput sequencing technologies, OGM is capable of detecting structural and numerical aberrations throughout the entire genome in a single assay. These encompass aneuploidy, insertions, deletions, duplications, inversions, balanced translocations, and complex structural variations. With a detection resolution reaching as high as 500 bp, OGM is alternatively designated as the next-generation cytogenetic technology due to its high-resolution and long-fragment analysis capabilities. This endows it with substantial practical value in the detection of genomic structural variations. In this review, we comprehensively summarize the application of OGM methods in the detection of disease-related SVs, with the intention of providing valuable references and profound insights for SVs research, especially in the domain of disease diagnosis.
在基因组研究的不断发展过程中,越来越多的研究表明,结构变异(SVs)在人类进化和疾病发病机制中起着至关重要的作用。因此,SVs在临床研究领域引起了广泛关注。近年来,光学基因组图谱(OGM)作为一种高分辨率、超长读长、自动化的非测序基因组检测技术,在结构变异的探索中显示出显著优势。与核型分析、荧光原位杂交(FISH)、染色体微阵列分析(CMA)和高通量测序技术相比,OGM能够在一次检测中检测整个基因组中的结构和数量畸变。这些包括非整倍体、插入、缺失、重复、倒位、平衡易位和复杂结构变异。由于其高分辨率和长片段分析能力,OGM的检测分辨率高达500 bp,被视为下一代细胞遗传学技术。这使其在基因组结构变异的检测中具有重要的实用价值。在这篇综述中,我们全面总结了OGM方法在疾病相关SVs检测中的应用,旨在为SVs研究,特别是疾病诊断领域提供有价值的参考和深刻见解。