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Performance comparison of four commercial human whole-exome capture platforms

Whole exome sequencing (WXS) is widely used to identify causative genetic mutations of diseases. However, not only have several commercial human exome capture platforms been developed, but substantial updates have been released in the past few years. We report a performance comparison for the latest...

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Autores principales: Shigemizu, Daichi, Momozawa, Yukihide, Abe, Testuo, Morizono, Takashi, Boroevich, Keith A., Takata, Sadaaki, Ashikawa, Kyota, Kubo, Michiaki, Tsunoda, Tatsuhiko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4522667/
https://www.ncbi.nlm.nih.gov/pubmed/26235669
http://dx.doi.org/10.1038/srep12742
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author Shigemizu, Daichi
Momozawa, Yukihide
Abe, Testuo
Morizono, Takashi
Boroevich, Keith A.
Takata, Sadaaki
Ashikawa, Kyota
Kubo, Michiaki
Tsunoda, Tatsuhiko
author_facet Shigemizu, Daichi
Momozawa, Yukihide
Abe, Testuo
Morizono, Takashi
Boroevich, Keith A.
Takata, Sadaaki
Ashikawa, Kyota
Kubo, Michiaki
Tsunoda, Tatsuhiko
author_sort Shigemizu, Daichi
collection PubMed
description Whole exome sequencing (WXS) is widely used to identify causative genetic mutations of diseases. However, not only have several commercial human exome capture platforms been developed, but substantial updates have been released in the past few years. We report a performance comparison for the latest release of four commercial platforms, Roche/NimbleGen’s SeqCap EZ Human Exome Library v3.0, Illumina’s Nextera Rapid Capture Exome (v1.2), Agilent’s SureSelect XT Human All Exon v5 and Agilent’s SureSelect QXT, using the same DNA samples. Agilent XT showed the highest target enrichment efficiency and the best SNV and short indel detection sensitivity in coding regions with the least amount of sequencing. Agilent QXT had slightly inferior target enrichment than Agilent XT. Illumina, with additional sequencing, detected SNVs and short indels at the same quality as Agilent XT, and showed the best performance in coverage of medically interesting mutations. NimbleGen detected more SNVs and indels in untranslated regions than the others. We also found that the platforms, which enzymatically fragment the genomic DNA (gDNA), detected more homozygous SNVs than those using sonicated gDNA. We believe that our analysis will help investigators when selecting a suitable exome capture platform for their particular research.
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spelling pubmed-45226672015-08-06 Performance comparison of four commercial human whole-exome capture platforms Shigemizu, Daichi Momozawa, Yukihide Abe, Testuo Morizono, Takashi Boroevich, Keith A. Takata, Sadaaki Ashikawa, Kyota Kubo, Michiaki Tsunoda, Tatsuhiko Sci Rep Article Whole exome sequencing (WXS) is widely used to identify causative genetic mutations of diseases. However, not only have several commercial human exome capture platforms been developed, but substantial updates have been released in the past few years. We report a performance comparison for the latest release of four commercial platforms, Roche/NimbleGen’s SeqCap EZ Human Exome Library v3.0, Illumina’s Nextera Rapid Capture Exome (v1.2), Agilent’s SureSelect XT Human All Exon v5 and Agilent’s SureSelect QXT, using the same DNA samples. Agilent XT showed the highest target enrichment efficiency and the best SNV and short indel detection sensitivity in coding regions with the least amount of sequencing. Agilent QXT had slightly inferior target enrichment than Agilent XT. Illumina, with additional sequencing, detected SNVs and short indels at the same quality as Agilent XT, and showed the best performance in coverage of medically interesting mutations. NimbleGen detected more SNVs and indels in untranslated regions than the others. We also found that the platforms, which enzymatically fragment the genomic DNA (gDNA), detected more homozygous SNVs than those using sonicated gDNA. We believe that our analysis will help investigators when selecting a suitable exome capture platform for their particular research. Nature Publishing Group 2015-08-03 /pmc/articles/PMC4522667/ /pubmed/26235669 http://dx.doi.org/10.1038/srep12742 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Shigemizu, Daichi
Momozawa, Yukihide
Abe, Testuo
Morizono, Takashi
Boroevich, Keith A.
Takata, Sadaaki
Ashikawa, Kyota
Kubo, Michiaki
Tsunoda, Tatsuhiko
Performance comparison of four commercial human whole-exome capture platforms
title Performance comparison of four commercial human whole-exome capture platforms
title_full Performance comparison of four commercial human whole-exome capture platforms
title_fullStr Performance comparison of four commercial human whole-exome capture platforms
title_full_unstemmed Performance comparison of four commercial human whole-exome capture platforms
title_short Performance comparison of four commercial human whole-exome capture platforms
title_sort performance comparison of four commercial human whole-exome capture platforms
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4522667/
https://www.ncbi.nlm.nih.gov/pubmed/26235669
http://dx.doi.org/10.1038/srep12742
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