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Comprehensive comparison of three commercial human whole-exome capture platforms

BACKGROUND: Exome sequencing, which allows the global analysis of protein coding sequences in the human genome, has become an effective and affordable approach to detecting causative genetic mutations in diseases. Currently, there are several commercial human exome capture platforms; however, the re...

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Autores principales: Asan, Xu, Yu, Jiang, Hui, Tyler-Smith, Chris, Xue, Yali, Jiang, Tao, Wang, Jiawei, Wu, Mingzhi, Liu, Xiao, Tian, Geng, Wang, Jun, Wang, Jian, Yang, Huangming, Zhang, Xiuqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3308058/
https://www.ncbi.nlm.nih.gov/pubmed/21955857
http://dx.doi.org/10.1186/gb-2011-12-9-r95
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author Asan
Xu, Yu
Jiang, Hui
Tyler-Smith, Chris
Xue, Yali
Jiang, Tao
Wang, Jiawei
Wu, Mingzhi
Liu, Xiao
Tian, Geng
Wang, Jun
Wang, Jian
Yang, Huangming
Zhang, Xiuqing
author_facet Asan
Xu, Yu
Jiang, Hui
Tyler-Smith, Chris
Xue, Yali
Jiang, Tao
Wang, Jiawei
Wu, Mingzhi
Liu, Xiao
Tian, Geng
Wang, Jun
Wang, Jian
Yang, Huangming
Zhang, Xiuqing
author_sort Asan
collection PubMed
description BACKGROUND: Exome sequencing, which allows the global analysis of protein coding sequences in the human genome, has become an effective and affordable approach to detecting causative genetic mutations in diseases. Currently, there are several commercial human exome capture platforms; however, the relative performances of these have not been characterized sufficiently to know which is best for a particular study. RESULTS: We comprehensively compared three platforms: NimbleGen's Sequence Capture Array and SeqCap EZ, and Agilent's SureSelect. We assessed their performance in a variety of ways, including number of genes covered and capture efficacy. Differences that may impact on the choice of platform were that Agilent SureSelect covered approximately 1,100 more genes, while NimbleGen provided better flanking sequence capture. Although all three platforms achieved similar capture specificity of targeted regions, the NimbleGen platforms showed better uniformity of coverage and greater genotype sensitivity at 30- to 100-fold sequencing depth. All three platforms showed similar power in exome SNP calling, including medically relevant SNPs. Compared with genotyping and whole-genome sequencing data, the three platforms achieved a similar accuracy of genotype assignment and SNP detection. Importantly, all three platforms showed similar levels of reproducibility, GC bias and reference allele bias. CONCLUSIONS: We demonstrate key differences between the three platforms, particularly advantages of solutions over array capture and the importance of a large gene target set.
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spelling pubmed-33080582012-03-20 Comprehensive comparison of three commercial human whole-exome capture platforms Asan Xu, Yu Jiang, Hui Tyler-Smith, Chris Xue, Yali Jiang, Tao Wang, Jiawei Wu, Mingzhi Liu, Xiao Tian, Geng Wang, Jun Wang, Jian Yang, Huangming Zhang, Xiuqing Genome Biol Research BACKGROUND: Exome sequencing, which allows the global analysis of protein coding sequences in the human genome, has become an effective and affordable approach to detecting causative genetic mutations in diseases. Currently, there are several commercial human exome capture platforms; however, the relative performances of these have not been characterized sufficiently to know which is best for a particular study. RESULTS: We comprehensively compared three platforms: NimbleGen's Sequence Capture Array and SeqCap EZ, and Agilent's SureSelect. We assessed their performance in a variety of ways, including number of genes covered and capture efficacy. Differences that may impact on the choice of platform were that Agilent SureSelect covered approximately 1,100 more genes, while NimbleGen provided better flanking sequence capture. Although all three platforms achieved similar capture specificity of targeted regions, the NimbleGen platforms showed better uniformity of coverage and greater genotype sensitivity at 30- to 100-fold sequencing depth. All three platforms showed similar power in exome SNP calling, including medically relevant SNPs. Compared with genotyping and whole-genome sequencing data, the three platforms achieved a similar accuracy of genotype assignment and SNP detection. Importantly, all three platforms showed similar levels of reproducibility, GC bias and reference allele bias. CONCLUSIONS: We demonstrate key differences between the three platforms, particularly advantages of solutions over array capture and the importance of a large gene target set. BioMed Central 2011 2011-09-28 /pmc/articles/PMC3308058/ /pubmed/21955857 http://dx.doi.org/10.1186/gb-2011-12-9-r95 Text en Copyright ©2011 Asan 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
Asan
Xu, Yu
Jiang, Hui
Tyler-Smith, Chris
Xue, Yali
Jiang, Tao
Wang, Jiawei
Wu, Mingzhi
Liu, Xiao
Tian, Geng
Wang, Jun
Wang, Jian
Yang, Huangming
Zhang, Xiuqing
Comprehensive comparison of three commercial human whole-exome capture platforms
title Comprehensive comparison of three commercial human whole-exome capture platforms
title_full Comprehensive comparison of three commercial human whole-exome capture platforms
title_fullStr Comprehensive comparison of three commercial human whole-exome capture platforms
title_full_unstemmed Comprehensive comparison of three commercial human whole-exome capture platforms
title_short Comprehensive comparison of three commercial human whole-exome capture platforms
title_sort comprehensive comparison of three commercial human whole-exome capture platforms
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3308058/
https://www.ncbi.nlm.nih.gov/pubmed/21955857
http://dx.doi.org/10.1186/gb-2011-12-9-r95
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