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Evaluation of next generation sequencing platforms for population targeted sequencing studies
BACKGROUND: Next generation sequencing (NGS) platforms are currently being utilized for targeted sequencing of candidate genes or genomic intervals to perform sequence-based association studies. To evaluate these platforms for this application, we analyzed human sequence generated by the Roche 454,...
Autores principales: | , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2691003/ https://www.ncbi.nlm.nih.gov/pubmed/19327155 http://dx.doi.org/10.1186/gb-2009-10-3-r32 |
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author | Harismendy, Olivier Ng, Pauline C Strausberg, Robert L Wang, Xiaoyun Stockwell, Timothy B Beeson, Karen Y Schork, Nicholas J Murray, Sarah S Topol, Eric J Levy, Samuel Frazer, Kelly A |
author_facet | Harismendy, Olivier Ng, Pauline C Strausberg, Robert L Wang, Xiaoyun Stockwell, Timothy B Beeson, Karen Y Schork, Nicholas J Murray, Sarah S Topol, Eric J Levy, Samuel Frazer, Kelly A |
author_sort | Harismendy, Olivier |
collection | PubMed |
description | BACKGROUND: Next generation sequencing (NGS) platforms are currently being utilized for targeted sequencing of candidate genes or genomic intervals to perform sequence-based association studies. To evaluate these platforms for this application, we analyzed human sequence generated by the Roche 454, Illumina GA, and the ABI SOLiD technologies for the same 260 kb in four individuals. RESULTS: Local sequence characteristics contribute to systematic variability in sequence coverage (>100-fold difference in per-base coverage), resulting in patterns for each NGS technology that are highly correlated between samples. A comparison of the base calls to 88 kb of overlapping ABI 3730xL Sanger sequence generated for the same samples showed that the NGS platforms all have high sensitivity, identifying >95% of variant sites. At high coverage, depth base calling errors are systematic, resulting from local sequence contexts; as the coverage is lowered additional 'random sampling' errors in base calling occur. CONCLUSIONS: Our study provides important insights into systematic biases and data variability that need to be considered when utilizing NGS platforms for population targeted sequencing studies. |
format | Text |
id | pubmed-2691003 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-26910032009-06-04 Evaluation of next generation sequencing platforms for population targeted sequencing studies Harismendy, Olivier Ng, Pauline C Strausberg, Robert L Wang, Xiaoyun Stockwell, Timothy B Beeson, Karen Y Schork, Nicholas J Murray, Sarah S Topol, Eric J Levy, Samuel Frazer, Kelly A Genome Biol Research BACKGROUND: Next generation sequencing (NGS) platforms are currently being utilized for targeted sequencing of candidate genes or genomic intervals to perform sequence-based association studies. To evaluate these platforms for this application, we analyzed human sequence generated by the Roche 454, Illumina GA, and the ABI SOLiD technologies for the same 260 kb in four individuals. RESULTS: Local sequence characteristics contribute to systematic variability in sequence coverage (>100-fold difference in per-base coverage), resulting in patterns for each NGS technology that are highly correlated between samples. A comparison of the base calls to 88 kb of overlapping ABI 3730xL Sanger sequence generated for the same samples showed that the NGS platforms all have high sensitivity, identifying >95% of variant sites. At high coverage, depth base calling errors are systematic, resulting from local sequence contexts; as the coverage is lowered additional 'random sampling' errors in base calling occur. CONCLUSIONS: Our study provides important insights into systematic biases and data variability that need to be considered when utilizing NGS platforms for population targeted sequencing studies. BioMed Central 2009 2009-03-27 /pmc/articles/PMC2691003/ /pubmed/19327155 http://dx.doi.org/10.1186/gb-2009-10-3-r32 Text en Copyright © 2009 Harismendy et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Harismendy, Olivier Ng, Pauline C Strausberg, Robert L Wang, Xiaoyun Stockwell, Timothy B Beeson, Karen Y Schork, Nicholas J Murray, Sarah S Topol, Eric J Levy, Samuel Frazer, Kelly A Evaluation of next generation sequencing platforms for population targeted sequencing studies |
title | Evaluation of next generation sequencing platforms for population targeted sequencing studies |
title_full | Evaluation of next generation sequencing platforms for population targeted sequencing studies |
title_fullStr | Evaluation of next generation sequencing platforms for population targeted sequencing studies |
title_full_unstemmed | Evaluation of next generation sequencing platforms for population targeted sequencing studies |
title_short | Evaluation of next generation sequencing platforms for population targeted sequencing studies |
title_sort | evaluation of next generation sequencing platforms for population targeted sequencing studies |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2691003/ https://www.ncbi.nlm.nih.gov/pubmed/19327155 http://dx.doi.org/10.1186/gb-2009-10-3-r32 |
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