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Rapid detection of structural variation in a human genome using nanochannel-based genome mapping technology

BACKGROUND: Structural variants (SVs) are less common than single nucleotide polymorphisms and indels in the population, but collectively account for a significant fraction of genetic polymorphism and diseases. Base pair differences arising from SVs are on a much higher order (>100 fold) than poi...

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Autores principales: Cao, Hongzhi, Hastie, Alex R, Cao, Dandan, Lam, Ernest T, Sun, Yuhui, Huang, Haodong, Liu, Xiao, Lin, Liya, Andrews, Warren, Chan, Saki, Huang, Shujia, Tong, Xin, Requa, Michael, Anantharaman, Thomas, Krogh, Anders, Yang, Huanming, Cao, Han, Xu, Xun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4322599/
https://www.ncbi.nlm.nih.gov/pubmed/25671094
http://dx.doi.org/10.1186/2047-217X-3-34
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author Cao, Hongzhi
Hastie, Alex R
Cao, Dandan
Lam, Ernest T
Sun, Yuhui
Huang, Haodong
Liu, Xiao
Lin, Liya
Andrews, Warren
Chan, Saki
Huang, Shujia
Tong, Xin
Requa, Michael
Anantharaman, Thomas
Krogh, Anders
Yang, Huanming
Cao, Han
Xu, Xun
author_facet Cao, Hongzhi
Hastie, Alex R
Cao, Dandan
Lam, Ernest T
Sun, Yuhui
Huang, Haodong
Liu, Xiao
Lin, Liya
Andrews, Warren
Chan, Saki
Huang, Shujia
Tong, Xin
Requa, Michael
Anantharaman, Thomas
Krogh, Anders
Yang, Huanming
Cao, Han
Xu, Xun
author_sort Cao, Hongzhi
collection PubMed
description BACKGROUND: Structural variants (SVs) are less common than single nucleotide polymorphisms and indels in the population, but collectively account for a significant fraction of genetic polymorphism and diseases. Base pair differences arising from SVs are on a much higher order (>100 fold) than point mutations; however, none of the current detection methods are comprehensive, and currently available methodologies are incapable of providing sufficient resolution and unambiguous information across complex regions in the human genome. To address these challenges, we applied a high-throughput, cost-effective genome mapping technology to comprehensively discover genome-wide SVs and characterize complex regions of the YH genome using long single molecules (>150 kb) in a global fashion. RESULTS: Utilizing nanochannel-based genome mapping technology, we obtained 708 insertions/deletions and 17 inversions larger than 1 kb. Excluding the 59 SVs (54 insertions/deletions, 5 inversions) that overlap with N-base gaps in the reference assembly hg19, 666 non-gap SVs remained, and 396 of them (60%) were verified by paired-end data from whole-genome sequencing-based re-sequencing or de novo assembly sequence from fosmid data. Of the remaining 270 SVs, 260 are insertions and 213 overlap known SVs in the Database of Genomic Variants. Overall, 609 out of 666 (90%) variants were supported by experimental orthogonal methods or historical evidence in public databases. At the same time, genome mapping also provides valuable information for complex regions with haplotypes in a straightforward fashion. In addition, with long single-molecule labeling patterns, exogenous viral sequences were mapped on a whole-genome scale, and sample heterogeneity was analyzed at a new level. CONCLUSION: Our study highlights genome mapping technology as a comprehensive and cost-effective method for detecting structural variation and studying complex regions in the human genome, as well as deciphering viral integration into the host genome. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/2047-217X-3-34) contains supplementary material, which is available to authorized users.
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spelling pubmed-43225992015-02-11 Rapid detection of structural variation in a human genome using nanochannel-based genome mapping technology Cao, Hongzhi Hastie, Alex R Cao, Dandan Lam, Ernest T Sun, Yuhui Huang, Haodong Liu, Xiao Lin, Liya Andrews, Warren Chan, Saki Huang, Shujia Tong, Xin Requa, Michael Anantharaman, Thomas Krogh, Anders Yang, Huanming Cao, Han Xu, Xun Gigascience Research BACKGROUND: Structural variants (SVs) are less common than single nucleotide polymorphisms and indels in the population, but collectively account for a significant fraction of genetic polymorphism and diseases. Base pair differences arising from SVs are on a much higher order (>100 fold) than point mutations; however, none of the current detection methods are comprehensive, and currently available methodologies are incapable of providing sufficient resolution and unambiguous information across complex regions in the human genome. To address these challenges, we applied a high-throughput, cost-effective genome mapping technology to comprehensively discover genome-wide SVs and characterize complex regions of the YH genome using long single molecules (>150 kb) in a global fashion. RESULTS: Utilizing nanochannel-based genome mapping technology, we obtained 708 insertions/deletions and 17 inversions larger than 1 kb. Excluding the 59 SVs (54 insertions/deletions, 5 inversions) that overlap with N-base gaps in the reference assembly hg19, 666 non-gap SVs remained, and 396 of them (60%) were verified by paired-end data from whole-genome sequencing-based re-sequencing or de novo assembly sequence from fosmid data. Of the remaining 270 SVs, 260 are insertions and 213 overlap known SVs in the Database of Genomic Variants. Overall, 609 out of 666 (90%) variants were supported by experimental orthogonal methods or historical evidence in public databases. At the same time, genome mapping also provides valuable information for complex regions with haplotypes in a straightforward fashion. In addition, with long single-molecule labeling patterns, exogenous viral sequences were mapped on a whole-genome scale, and sample heterogeneity was analyzed at a new level. CONCLUSION: Our study highlights genome mapping technology as a comprehensive and cost-effective method for detecting structural variation and studying complex regions in the human genome, as well as deciphering viral integration into the host genome. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/2047-217X-3-34) contains supplementary material, which is available to authorized users. BioMed Central 2014-12-30 /pmc/articles/PMC4322599/ /pubmed/25671094 http://dx.doi.org/10.1186/2047-217X-3-34 Text en © Cao et al.; licensee BioMed Central. 2014 This article is published under license to BioMed Central Ltd. 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 Research
Cao, Hongzhi
Hastie, Alex R
Cao, Dandan
Lam, Ernest T
Sun, Yuhui
Huang, Haodong
Liu, Xiao
Lin, Liya
Andrews, Warren
Chan, Saki
Huang, Shujia
Tong, Xin
Requa, Michael
Anantharaman, Thomas
Krogh, Anders
Yang, Huanming
Cao, Han
Xu, Xun
Rapid detection of structural variation in a human genome using nanochannel-based genome mapping technology
title Rapid detection of structural variation in a human genome using nanochannel-based genome mapping technology
title_full Rapid detection of structural variation in a human genome using nanochannel-based genome mapping technology
title_fullStr Rapid detection of structural variation in a human genome using nanochannel-based genome mapping technology
title_full_unstemmed Rapid detection of structural variation in a human genome using nanochannel-based genome mapping technology
title_short Rapid detection of structural variation in a human genome using nanochannel-based genome mapping technology
title_sort rapid detection of structural variation in a human genome using nanochannel-based genome mapping technology
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4322599/
https://www.ncbi.nlm.nih.gov/pubmed/25671094
http://dx.doi.org/10.1186/2047-217X-3-34
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