Pande Shruti, Dawood Moez, Grochowski Christopher M
Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA.
Genes (Basel). 2025 Jul 29;16(8):905. doi: 10.3390/genes16080905.
Structural variations (SVs) represent genomic variations that involve breakage and rejoining of DNA segments. SVs can alter normal gene dosage, lead to rearrangements of genes and regulatory elements within a topologically associated domain, and potentially contribute to physical traits, genomic disorders, or complex traits. Recent advances in sequencing technologies and bioinformatics have greatly improved SV detection and interpretation at unprecedented resolution and scale. Despite these advances, the functional impact of SVs, the underlying SV mechanism(s) contributing to complex traits, and the technical challenges associated with SV detection and annotation remain active areas of research. This review aims to provide an overview of structural variations, their mutagenesis mechanisms, and their detection in the genomics era, focusing on the biological significance, methodologies, and future directions in the field.
结构变异(SVs)是指涉及DNA片段断裂和重新连接的基因组变异。SVs可改变正常基因剂量,导致拓扑相关结构域内基因和调控元件的重排,并可能影响身体特征、基因组疾病或复杂性状。测序技术和生物信息学的最新进展极大地提高了SV检测和解读的分辨率和规模,达到了前所未有的水平。尽管取得了这些进展,但SVs的功能影响、导致复杂性状的潜在SV机制以及与SV检测和注释相关的技术挑战仍是活跃的研究领域。本综述旨在概述结构变异、其诱变机制以及在基因组学时代的检测方法,重点关注该领域的生物学意义、方法学和未来方向。