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通过长读基因组测序解读结构变异:技术,应用和案例说明

Usha R Dutta¹, Ashwin Dalal¹

¹Diagnostics Division, Centre for DNA Fingerprinting and Diagnostics (CDFD), Hyderabad, India.

Cytogenetic and genome research

|October 30, 2025

概括

长读序列 (LRS) 克服了检测结构变异 (SV) 的短读限制. 这项技术能够进行全面的基因组分析,并改善遗传疾病的诊断.

科学领域:

基因组学就是基因组学.
分子生物学分子生物学
生物信息学是一种生物信息学.

背景情况:

结构变异 (SVs) 是对进化,疾病和癌症至关重要的大型基因组变异 (>50 bp).
由于复杂区域的局限性,目前的短读测序技术 (SRS) 检测不到50%的SV.
SRS与重复的区域,复杂的位置和分阶段作斗争,阻碍了全面的SV分析.

研究的目的:

审查用于结构变异检测的长读序列 (LRS) 的最新进展.
突出LRS平台在表征多样化的SV和复杂的基因组区域方面的能力.
为了说明LRS在诊断遗传疾病中的临床实用性.

主要方法:

审查当前的长读测序平台 (例如,牛津纳米孔,PacBio).
分析生物信息工具和数据分析策略,用于基于LRS的SV检测.
检查验证策略和临床案例研究.

主要成果:

LRS技术准确地检测到广泛的SVs,包括复杂的事件.
LRS促进了 de novo 组装,哈普洛型分相和重复的基因组区域的分辨率.
使用LRS.取得了成功的罕见疾病的临床诊断.

结论:

LRS显著提高了SV检测准确度,克服了SRS的局限性.
LRS提供了对基因组疾病的更深入的见解,并有助于精确的临床诊断.
尽管面临挑战,但LRS正在成为精密基因组医学的必需品.

关键词:

断点映射断点映射断点映射长读序列的测序方式这是下一代测序.牛津纳米孔技术牛津纳米孔技术通过PacBio的HiFi技术结构变体结构变体

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