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软件分析罕见和常见的短串重复 (STR) 变异的比较,使用临床和基于人口的样本的人类基因组序列

John W Oketch¹, Louise V Wain^2,3, Edward J Hollox¹

¹Department of Genetics and Genome Biology, University of Leicester, Leicester, United Kingdom.

|April 1, 2024

概括

短串重复 (STR) 基因型软件在不同基因组数据集的准确性和效率方面进行了比较. HipSTR,ExpansionHunter和GangSTR在常见的STR中表现出色,而ExpansionHunter denovo和STRling对于扩展的STR检测是有效的.

科学领域:

基因组学就是基因组学.
生物信息学是一种生物信息学.
人口遗传学人口遗传学

背景情况:

短串联重复 (STR) 是高度多态的基因组区域,占人类基因组的3%左右.
STR变异影响孟德尔病,基因表达和潜在的常见疾病.
短读测序的进步需要强大的软件来准确的STR基因型.

研究的目的:

为了比较各种软件工具的性能,用于全基因组的常见和扩展短串联重复 (STRs) 基因型.
评估软件适合于人口基因组分析和临床应用.
用标准化数据集建立一个基准,用于未来的软件开发和比较.

主要方法:

使用"瓶中的基因组" (GIAB) 和1000个基因组项目数据对STR基因型软件的性能评估.
比较指标包括序列长度,深度,计算资源,准确性和呼叫率.
与已知STR扩展和法医STR位点的临床样本进行验证.

主要成果:

HipSTR,ExpansionHunter和GangSTR在包括法医STR在内的常见STR基因定型方面表现强.
与HipSTR相比,GangSTR和ExpansionHunter显示出更高的呼叫率和内存效率.
在扩展STR检测方面,ExpansionHunter denovo,STRling和GangSTR比STRetch更有效,而EHdn和STRling在计算上更快.

结论:

特定的软件工具显示出独特的优势,用于基因型化常见与扩展的STRs.
该研究为根据特定的研究需求和数据集选择合适的STR基因型软件提供了指导.
标准化的基准测试数据集有助于 STR 分析工具的可重复性评估和进步.

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