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Detecting very low allele fraction variants using targeted DNA sequencing and a novel molecular barcode-aware variant caller
BACKGROUND: Detection of DNA mutations at very low allele fractions with high accuracy will significantly improve the effectiveness of precision medicine for cancer patients. To achieve this goal through next generation sequencing, researchers need a detection method that 1) captures rare mutation-c...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5209917/ https://www.ncbi.nlm.nih.gov/pubmed/28049435 http://dx.doi.org/10.1186/s12864-016-3425-4 |
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author | Xu, Chang Nezami Ranjbar, Mohammad R. Wu, Zhong DiCarlo, John Wang, Yexun |
author_facet | Xu, Chang Nezami Ranjbar, Mohammad R. Wu, Zhong DiCarlo, John Wang, Yexun |
author_sort | Xu, Chang |
collection | PubMed |
description | BACKGROUND: Detection of DNA mutations at very low allele fractions with high accuracy will significantly improve the effectiveness of precision medicine for cancer patients. To achieve this goal through next generation sequencing, researchers need a detection method that 1) captures rare mutation-containing DNA fragments efficiently in the mix of abundant wild-type DNA; 2) sequences the DNA library extensively to deep coverage; and 3) distinguishes low level true variants from amplification and sequencing errors with high accuracy. Targeted enrichment using PCR primers provides researchers with a convenient way to achieve deep sequencing for a small, yet most relevant region using benchtop sequencers. Molecular barcoding (or indexing) provides a unique solution for reducing sequencing artifacts analytically. Although different molecular barcoding schemes have been reported in recent literature, most variant calling has been done on limited targets, using simple custom scripts. The analytical performance of barcode-aware variant calling can be significantly improved by incorporating advanced statistical models. RESULTS: We present here a highly efficient, simple and scalable enrichment protocol that integrates molecular barcodes in multiplex PCR amplification. In addition, we developed smCounter, an open source, generic, barcode-aware variant caller based on a Bayesian probabilistic model. smCounter was optimized and benchmarked on two independent read sets with SNVs and indels at 5 and 1% allele fractions. Variants were called with very good sensitivity and specificity within coding regions. CONCLUSIONS: We demonstrated that we can accurately detect somatic mutations with allele fractions as low as 1% in coding regions using our enrichment protocol and variant caller. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-3425-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5209917 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-52099172017-01-04 Detecting very low allele fraction variants using targeted DNA sequencing and a novel molecular barcode-aware variant caller Xu, Chang Nezami Ranjbar, Mohammad R. Wu, Zhong DiCarlo, John Wang, Yexun BMC Genomics Methodology Article BACKGROUND: Detection of DNA mutations at very low allele fractions with high accuracy will significantly improve the effectiveness of precision medicine for cancer patients. To achieve this goal through next generation sequencing, researchers need a detection method that 1) captures rare mutation-containing DNA fragments efficiently in the mix of abundant wild-type DNA; 2) sequences the DNA library extensively to deep coverage; and 3) distinguishes low level true variants from amplification and sequencing errors with high accuracy. Targeted enrichment using PCR primers provides researchers with a convenient way to achieve deep sequencing for a small, yet most relevant region using benchtop sequencers. Molecular barcoding (or indexing) provides a unique solution for reducing sequencing artifacts analytically. Although different molecular barcoding schemes have been reported in recent literature, most variant calling has been done on limited targets, using simple custom scripts. The analytical performance of barcode-aware variant calling can be significantly improved by incorporating advanced statistical models. RESULTS: We present here a highly efficient, simple and scalable enrichment protocol that integrates molecular barcodes in multiplex PCR amplification. In addition, we developed smCounter, an open source, generic, barcode-aware variant caller based on a Bayesian probabilistic model. smCounter was optimized and benchmarked on two independent read sets with SNVs and indels at 5 and 1% allele fractions. Variants were called with very good sensitivity and specificity within coding regions. CONCLUSIONS: We demonstrated that we can accurately detect somatic mutations with allele fractions as low as 1% in coding regions using our enrichment protocol and variant caller. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-3425-4) contains supplementary material, which is available to authorized users. BioMed Central 2017-01-03 /pmc/articles/PMC5209917/ /pubmed/28049435 http://dx.doi.org/10.1186/s12864-016-3425-4 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Methodology Article Xu, Chang Nezami Ranjbar, Mohammad R. Wu, Zhong DiCarlo, John Wang, Yexun Detecting very low allele fraction variants using targeted DNA sequencing and a novel molecular barcode-aware variant caller |
title | Detecting very low allele fraction variants using targeted DNA sequencing and a novel molecular barcode-aware variant caller |
title_full | Detecting very low allele fraction variants using targeted DNA sequencing and a novel molecular barcode-aware variant caller |
title_fullStr | Detecting very low allele fraction variants using targeted DNA sequencing and a novel molecular barcode-aware variant caller |
title_full_unstemmed | Detecting very low allele fraction variants using targeted DNA sequencing and a novel molecular barcode-aware variant caller |
title_short | Detecting very low allele fraction variants using targeted DNA sequencing and a novel molecular barcode-aware variant caller |
title_sort | detecting very low allele fraction variants using targeted dna sequencing and a novel molecular barcode-aware variant caller |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5209917/ https://www.ncbi.nlm.nih.gov/pubmed/28049435 http://dx.doi.org/10.1186/s12864-016-3425-4 |
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