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在下一代测序中应用独特分子标识符检测低频突变的益处与挑战

Benefits and Challenges with Applying Unique Molecular Identifiers in Next Generation Sequencing to Detect Low Frequency Mutations.

作者信息

Kou Ruqin, Lam Ham, Duan Hairong, Ye Li, Jongkam Narisra, Chen Weizhi, Zhang Shifang, Li Shihong

机构信息

Department of Development, GENEWIZ LLC, 115 Corporate Blvd., South Plainfield, NJ, 07080, United States of America.

Department of Bioinformatics, GENEWIZ CN, 218 Xinghu Street, Suzhou, Jiangsu, 215123, China.

出版信息

PLoS One. 2016 Jan 11;11(1):e0146638. doi: 10.1371/journal.pone.0146638. eCollection 2016.

Abstract

Indexing individual template molecules with a unique identifier (UID) before PCR and deep sequencing is promising for detecting low frequency mutations, as true mutations could be distinguished from PCR errors or sequencing errors based on consensus among reads sharing same index. In an effort to develop a robust assay to detect from urine low-abundant bladder cancer cells carrying well-documented mutations, we have tested the idea first on a set of mock templates, with wild type and known mutants mixed at defined ratios. We have measured the combined error rate for PCR and Illumina sequencing at each nucleotide position of three exons, and demonstrated the power of a UID in distinguishing and correcting errors. In addition, we have demonstrated that PCR sampling bias, rather than PCR errors, challenges the UID-deep sequencing method in faithfully detecting low frequency mutation.

摘要

在PCR和深度测序之前用唯一标识符(UID)标记单个模板分子,对于检测低频突变很有前景,因为基于共享相同索引的reads之间的一致性,可以将真正的突变与PCR错误或测序错误区分开来。为了开发一种强大的检测方法,以从尿液中检测携带充分记录的突变的低丰度膀胱癌细胞,我们首先在一组模拟模板上测试了这个想法,这些模板将野生型和已知突变体按确定比例混合。我们测量了三个外显子每个核苷酸位置的PCR和Illumina测序的综合错误率,并证明了UID在区分和纠正错误方面的能力。此外,我们还证明,在忠实地检测低频突变方面,PCR采样偏差而非PCR错误对UID-深度测序方法构成了挑战。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f41b/4709065/fe3f07c191d2/pone.0146638.g001.jpg

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