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使用独特的分子标识符进行纳米孔测序,可以在复杂脂蛋白中进行准确的突变分析和哈普洛类型识别 (a) KIV-2 VNTR

Stephan Amstler¹, Gertraud Streiter¹, Cathrin Pfurtscheller¹

¹Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.

Genome medicine

|October 8, 2024

概括

独特的分子标识器纳米孔测序准确地表征复杂的基因组区域,如LPA KIV-2 VNTR,使SNP单双型和副本数分析能够准确地用于心血管风险评估.

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:

包括VNTR和STR在内的重复性基因组区域对传统测序具有挑战性.
LPA KIV-2 VNTR对于调节脂蛋白[Lp[a]水平至关重要,这是心血管风险因素,并且由于复杂的结构和单元型而表现出显著的个体间和祖先间变异.

研究的目的:

为了评估独特的分子标识器纳米孔测序 (UMI-ONT-Seq) 分析复杂的LPA KIV-2 VNTR.
评估UMI-ONT-Seq在SNP检测,哈普罗型映射,VNTR单元测序和副本数量估计方面的性能.

主要方法:

使用基于amplicon的纳米孔测序与独特的分子标识符 (UMI-ONT-Seq).
使用人体样本和低水平KIV-2等离子体混合物验证的性能.
应用UMI-ONT-Seq对48个多祖先的1000个基因组样本进行KIV-2 VNTR哈普洛型提取和STR分析.

主要成果:

在KIV-2 SNP检测中,UMI-ONT-Seq实现了高灵敏度和精度,可检测到1%的变异水平.
准确地检索了全长的VNTR单元单元类型,并证明了与下一代测序的高相关性.
精确量化的VNTR复制号,显示与滴滴数字PCR (ddPCR) 密切一致.
分析了大量的KIV-2内STR序列,并探索了KIV-2跨祖先的SNP单元型模式.

结论:

UMI-ONT-Seq为复杂的KIV-2 VNTR提供了准确的SNP单元型检索和精确的VNTR副本数量化.
这种方法为医疗相关的复杂基因组区域的大规模,全面的特征提供了一个强有力的工具.

关键词:

在CNV中,CNV是NV.副本数量变化的变化在DNA测序过程中,DNA测序脂蛋白 (a) 是一种蛋白质分子条形码分子条形码纳米孔测序的测序这就是为什么UMI UMI.独特的分子标识符.这就是VNTR VNTR.变量数串联重复重复

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