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Biased estimates of clonal evolution and subclonal heterogeneity can arise from PCR duplicates in deep sequencing experiments
Accurate allele frequencies are important for measuring subclonal heterogeneity and clonal evolution. Deep-targeted sequencing data can contain PCR duplicates, inflating perceived read depth. Here we adapted the Illumina TruSeq Custom Amplicon kit to include single molecule tagging (SMT) and show th...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4165357/ https://www.ncbi.nlm.nih.gov/pubmed/25103687 http://dx.doi.org/10.1186/s13059-014-0420-4 |
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author | Smith, Erin N Jepsen, Kristen Khosroheidari, Mahdieh Rassenti, Laura Z D’Antonio, Matteo Ghia, Emanuela M Carson, Dennis A Jamieson, Catriona HM Kipps, Thomas J Frazer, Kelly A |
author_facet | Smith, Erin N Jepsen, Kristen Khosroheidari, Mahdieh Rassenti, Laura Z D’Antonio, Matteo Ghia, Emanuela M Carson, Dennis A Jamieson, Catriona HM Kipps, Thomas J Frazer, Kelly A |
author_sort | Smith, Erin N |
collection | PubMed |
description | Accurate allele frequencies are important for measuring subclonal heterogeneity and clonal evolution. Deep-targeted sequencing data can contain PCR duplicates, inflating perceived read depth. Here we adapted the Illumina TruSeq Custom Amplicon kit to include single molecule tagging (SMT) and show that SMT-identified duplicates arise from PCR. We demonstrate that retention of PCR duplicate reads can imply clonal evolution when none exists, while their removal effectively controls the false positive rate. Additionally, PCR duplicates alter estimates of subclonal heterogeneity in tumor samples. Our method simplifies PCR duplicate identification and emphasizes their removal in studies of tumor heterogeneity and clonal evolution. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-014-0420-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4165357 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-41653572014-09-17 Biased estimates of clonal evolution and subclonal heterogeneity can arise from PCR duplicates in deep sequencing experiments Smith, Erin N Jepsen, Kristen Khosroheidari, Mahdieh Rassenti, Laura Z D’Antonio, Matteo Ghia, Emanuela M Carson, Dennis A Jamieson, Catriona HM Kipps, Thomas J Frazer, Kelly A Genome Biol Method Accurate allele frequencies are important for measuring subclonal heterogeneity and clonal evolution. Deep-targeted sequencing data can contain PCR duplicates, inflating perceived read depth. Here we adapted the Illumina TruSeq Custom Amplicon kit to include single molecule tagging (SMT) and show that SMT-identified duplicates arise from PCR. We demonstrate that retention of PCR duplicate reads can imply clonal evolution when none exists, while their removal effectively controls the false positive rate. Additionally, PCR duplicates alter estimates of subclonal heterogeneity in tumor samples. Our method simplifies PCR duplicate identification and emphasizes their removal in studies of tumor heterogeneity and clonal evolution. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-014-0420-4) contains supplementary material, which is available to authorized users. BioMed Central 2014-08-07 2014 /pmc/articles/PMC4165357/ /pubmed/25103687 http://dx.doi.org/10.1186/s13059-014-0420-4 Text en © Smith et al.; licensee BioMed Central 2014 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 | Method Smith, Erin N Jepsen, Kristen Khosroheidari, Mahdieh Rassenti, Laura Z D’Antonio, Matteo Ghia, Emanuela M Carson, Dennis A Jamieson, Catriona HM Kipps, Thomas J Frazer, Kelly A Biased estimates of clonal evolution and subclonal heterogeneity can arise from PCR duplicates in deep sequencing experiments |
title | Biased estimates of clonal evolution and subclonal heterogeneity can arise from PCR duplicates in deep sequencing experiments |
title_full | Biased estimates of clonal evolution and subclonal heterogeneity can arise from PCR duplicates in deep sequencing experiments |
title_fullStr | Biased estimates of clonal evolution and subclonal heterogeneity can arise from PCR duplicates in deep sequencing experiments |
title_full_unstemmed | Biased estimates of clonal evolution and subclonal heterogeneity can arise from PCR duplicates in deep sequencing experiments |
title_short | Biased estimates of clonal evolution and subclonal heterogeneity can arise from PCR duplicates in deep sequencing experiments |
title_sort | biased estimates of clonal evolution and subclonal heterogeneity can arise from pcr duplicates in deep sequencing experiments |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4165357/ https://www.ncbi.nlm.nih.gov/pubmed/25103687 http://dx.doi.org/10.1186/s13059-014-0420-4 |
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