Improving long-read somatic structural variant calling with pangenome and de novo personal genome assembly.

IF 4 Q3 ONCOLOGY
Qian Qin, Jakob M Heinz, Heng Li
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Abstract

Accurate detection of mosaic and somatic structural variants (SVs) provides early diagnostic and therapeutic evidence for cancers. While long-read whole-genome sequencing leads to more accurate SV detection than short read sequencing, existing long-read SV callers only look at alignment against a single reference genome and are susceptible to systematic false discovery caused by germline differences between the individual genome and the reference genome. Here we develop a new SV filtering method that jointly considers the alignment against a pangenome and the de novo assembly of the germline genome. It dramatically reduces false positive mosaic and somatic SVs in cancer cell lines with little loss in sensitivity for existing long read SV callers. Our study highlights the essential need for pangenome or personal genome assembly to integrate SV calls for both SV discoveries and clinical diagnostics.

利用泛基因组和从头开始的个人基因组组装改进长读体细胞结构变异召唤。
准确检测嵌合体和体细胞结构变异(SVs)为癌症的早期诊断和治疗提供了依据。虽然长读全基因组测序比短读测序能更准确地检测SV,但现有的长读SV调用者只观察与单个参考基因组的比对,并且容易受到个体基因组和参考基因组之间种系差异造成的系统性错误发现的影响。在这里,我们开发了一种新的SV滤波方法,该方法联合考虑了对泛基因组的比对和种系基因组的从头组装。它显著地减少了癌细胞系中假阳性的镶嵌和体细胞SV,而对现有的长读SV呼叫者的敏感性几乎没有损失。我们的研究强调了对泛基因组或个人基因组组装的基本需求,以整合SV发现和临床诊断的需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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