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Barcode-free next-generation sequencing error validation for ultra-rare variant detection
The advent of next-generation sequencing (NGS) has accelerated biomedical research by enabling the high-throughput analysis of DNA sequences at a very low cost. However, NGS has limitations in detecting rare-frequency variants (< 1%) because of high sequencing errors (> 0.1~1%). NGS errors cou...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6395625/ https://www.ncbi.nlm.nih.gov/pubmed/30816127 http://dx.doi.org/10.1038/s41467-019-08941-4 |
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author | Yeom, Huiran Lee, Yonghee Ryu, Taehoon Noh, Jinsung Lee, Amos Chungwon Lee, Han-Byoel Kang, Eunji Song, Seo Woo Kwon, Sunghoon |
author_facet | Yeom, Huiran Lee, Yonghee Ryu, Taehoon Noh, Jinsung Lee, Amos Chungwon Lee, Han-Byoel Kang, Eunji Song, Seo Woo Kwon, Sunghoon |
author_sort | Yeom, Huiran |
collection | PubMed |
description | The advent of next-generation sequencing (NGS) has accelerated biomedical research by enabling the high-throughput analysis of DNA sequences at a very low cost. However, NGS has limitations in detecting rare-frequency variants (< 1%) because of high sequencing errors (> 0.1~1%). NGS errors could be filtered out using molecular barcodes, by comparing read replicates among those with the same barcodes. Accordingly, these barcoding methods require redundant reads of non-target sequences, resulting in high sequencing cost. Here, we present a cost-effective NGS error validation method in a barcode-free manner. By physically extracting and individually amplifying the DNA clones of erroneous reads, we distinguish true variants of frequency > 0.003% from the systematic NGS error and selectively validate NGS error after NGS. We achieve a PCR-induced error rate of 2.5×10(−6) per base per doubling event, using 10 times less sequencing reads compared to those from previous studies. |
format | Online Article Text |
id | pubmed-6395625 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-63956252019-03-04 Barcode-free next-generation sequencing error validation for ultra-rare variant detection Yeom, Huiran Lee, Yonghee Ryu, Taehoon Noh, Jinsung Lee, Amos Chungwon Lee, Han-Byoel Kang, Eunji Song, Seo Woo Kwon, Sunghoon Nat Commun Article The advent of next-generation sequencing (NGS) has accelerated biomedical research by enabling the high-throughput analysis of DNA sequences at a very low cost. However, NGS has limitations in detecting rare-frequency variants (< 1%) because of high sequencing errors (> 0.1~1%). NGS errors could be filtered out using molecular barcodes, by comparing read replicates among those with the same barcodes. Accordingly, these barcoding methods require redundant reads of non-target sequences, resulting in high sequencing cost. Here, we present a cost-effective NGS error validation method in a barcode-free manner. By physically extracting and individually amplifying the DNA clones of erroneous reads, we distinguish true variants of frequency > 0.003% from the systematic NGS error and selectively validate NGS error after NGS. We achieve a PCR-induced error rate of 2.5×10(−6) per base per doubling event, using 10 times less sequencing reads compared to those from previous studies. Nature Publishing Group UK 2019-02-28 /pmc/articles/PMC6395625/ /pubmed/30816127 http://dx.doi.org/10.1038/s41467-019-08941-4 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Yeom, Huiran Lee, Yonghee Ryu, Taehoon Noh, Jinsung Lee, Amos Chungwon Lee, Han-Byoel Kang, Eunji Song, Seo Woo Kwon, Sunghoon Barcode-free next-generation sequencing error validation for ultra-rare variant detection |
title | Barcode-free next-generation sequencing error validation for ultra-rare variant detection |
title_full | Barcode-free next-generation sequencing error validation for ultra-rare variant detection |
title_fullStr | Barcode-free next-generation sequencing error validation for ultra-rare variant detection |
title_full_unstemmed | Barcode-free next-generation sequencing error validation for ultra-rare variant detection |
title_short | Barcode-free next-generation sequencing error validation for ultra-rare variant detection |
title_sort | barcode-free next-generation sequencing error validation for ultra-rare variant detection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6395625/ https://www.ncbi.nlm.nih.gov/pubmed/30816127 http://dx.doi.org/10.1038/s41467-019-08941-4 |
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