Literature DB >> 34079006

Confirming putative variants at ≤ 5% allele frequency using allele enrichment and Sanger sequencing.

Yan Helen Yan1, Sherry X Chen2, Lauren Y Cheng2, Alyssa Y Rodriguez1, Rui Tang1, Karina Cabrera1, David Yu Zhang3,4.   

Abstract

Whole exome sequencing (WES) is used to identify mutations in a patient's tumor DNA that are predictive of tumor behavior, including the likelihood of response or resistance to cancer therapy. WES has a mutation limit of detection (LoD) at variant allele frequencies (VAF) of 5%. Putative mutations called at ≤ 5% VAF are frequently due to sequencing errors, therefore reporting these subclonal mutations incurs risk of significant false positives. Here we performed ~ 1000 × WES on fresh-frozen and formalin-fixed paraffin-embedded (FFPE) tissue biopsy samples from a non-small cell lung cancer patient, and identified 226 putative mutations at between 0.5 and 5% VAF. Each variant was then tested using NuProbe NGSure, to confirm the original WES calls. NGSure utilizes Blocker Displacement Amplification to first enrich the allelic fraction of the mutation and then uses Sanger sequencing to determine mutation identity. Results showed that 52% of the 226 (117) putative variants were disconfirmed, among which 2% (5) putative variants were found to be misidentified in WES. In the 66 cancer-related variants, the disconfirmed rate was 82% (54/66). This data demonstrates Blocker Displacement Amplification allelic enrichment coupled with Sanger sequencing can be used to confirm putative mutations ≤ 5% VAF. By implementing this method, next-generation sequencing can reliably report low-level variants at a high sensitivity, without the cost of high sequencing depth.

Entities:  

Year:  2021        PMID: 34079006     DOI: 10.1038/s41598-021-91142-1

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  3 in total

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Authors:  Jianping Xu; Yue Pu; Rui Lin; Shanshan Xiao; Yingxue Fu; Tao Wang
Journal:  Front Med (Lausanne)       Date:  2022-03-03

2.  RNA-SSNV: A Reliable Somatic Single Nucleotide Variant Identification Framework for Bulk RNA-Seq Data.

Authors:  Qihan Long; Yangyang Yuan; Miaoxin Li
Journal:  Front Genet       Date:  2022-06-30       Impact factor: 4.772

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Authors:  Henrike Herzog; Senol Dogan; Bahriye Aktas; Ivonne Nel
Journal:  Cancers (Basel)       Date:  2022-08-24       Impact factor: 6.575

  3 in total

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