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Genome maps across 26 human populations reveal population-specific patterns of structural variation

Large structural variants (SVs) in the human genome are difficult to detect and study by conventional sequencing technologies. With long-range genome analysis platforms, such as optical mapping, one can identify large SVs (>2 kb) across the genome in one experiment. Analyzing optical genome maps...

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Autores principales: Levy-Sakin, Michal, Pastor, Steven, Mostovoy, Yulia, Li, Le, Leung, Alden K. Y., McCaffrey, Jennifer, Young, Eleanor, Lam, Ernest T., Hastie, Alex R., Wong, Karen H. Y., Chung, Claire Y. L., Ma, Walfred, Sibert, Justin, Rajagopalan, Ramakrishnan, Jin, Nana, Chow, Eugene Y. C., Chu, Catherine, Poon, Annie, Lin, Chin, Naguib, Ahmed, Wang, Wei-Ping, Cao, Han, Chan, Ting-Fung, Yip, Kevin Y., Xiao, Ming, Kwok, Pui-Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6399254/
https://www.ncbi.nlm.nih.gov/pubmed/30833565
http://dx.doi.org/10.1038/s41467-019-08992-7
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author Levy-Sakin, Michal
Pastor, Steven
Mostovoy, Yulia
Li, Le
Leung, Alden K. Y.
McCaffrey, Jennifer
Young, Eleanor
Lam, Ernest T.
Hastie, Alex R.
Wong, Karen H. Y.
Chung, Claire Y. L.
Ma, Walfred
Sibert, Justin
Rajagopalan, Ramakrishnan
Jin, Nana
Chow, Eugene Y. C.
Chu, Catherine
Poon, Annie
Lin, Chin
Naguib, Ahmed
Wang, Wei-Ping
Cao, Han
Chan, Ting-Fung
Yip, Kevin Y.
Xiao, Ming
Kwok, Pui-Yan
author_facet Levy-Sakin, Michal
Pastor, Steven
Mostovoy, Yulia
Li, Le
Leung, Alden K. Y.
McCaffrey, Jennifer
Young, Eleanor
Lam, Ernest T.
Hastie, Alex R.
Wong, Karen H. Y.
Chung, Claire Y. L.
Ma, Walfred
Sibert, Justin
Rajagopalan, Ramakrishnan
Jin, Nana
Chow, Eugene Y. C.
Chu, Catherine
Poon, Annie
Lin, Chin
Naguib, Ahmed
Wang, Wei-Ping
Cao, Han
Chan, Ting-Fung
Yip, Kevin Y.
Xiao, Ming
Kwok, Pui-Yan
author_sort Levy-Sakin, Michal
collection PubMed
description Large structural variants (SVs) in the human genome are difficult to detect and study by conventional sequencing technologies. With long-range genome analysis platforms, such as optical mapping, one can identify large SVs (>2 kb) across the genome in one experiment. Analyzing optical genome maps of 154 individuals from the 26 populations sequenced in the 1000 Genomes Project, we find that phylogenetic population patterns of large SVs are similar to those of single nucleotide variations in 86% of the human genome, while ~2% of the genome has high structural complexity. We are able to characterize SVs in many intractable regions of the genome, including segmental duplications and subtelomeric, pericentromeric, and acrocentric areas. In addition, we discover ~60 Mb of non-redundant genome content missing in the reference genome sequence assembly. Our results highlight the need for a comprehensive set of alternate haplotypes from different populations to represent SV patterns in the genome.
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spelling pubmed-63992542019-03-06 Genome maps across 26 human populations reveal population-specific patterns of structural variation Levy-Sakin, Michal Pastor, Steven Mostovoy, Yulia Li, Le Leung, Alden K. Y. McCaffrey, Jennifer Young, Eleanor Lam, Ernest T. Hastie, Alex R. Wong, Karen H. Y. Chung, Claire Y. L. Ma, Walfred Sibert, Justin Rajagopalan, Ramakrishnan Jin, Nana Chow, Eugene Y. C. Chu, Catherine Poon, Annie Lin, Chin Naguib, Ahmed Wang, Wei-Ping Cao, Han Chan, Ting-Fung Yip, Kevin Y. Xiao, Ming Kwok, Pui-Yan Nat Commun Article Large structural variants (SVs) in the human genome are difficult to detect and study by conventional sequencing technologies. With long-range genome analysis platforms, such as optical mapping, one can identify large SVs (>2 kb) across the genome in one experiment. Analyzing optical genome maps of 154 individuals from the 26 populations sequenced in the 1000 Genomes Project, we find that phylogenetic population patterns of large SVs are similar to those of single nucleotide variations in 86% of the human genome, while ~2% of the genome has high structural complexity. We are able to characterize SVs in many intractable regions of the genome, including segmental duplications and subtelomeric, pericentromeric, and acrocentric areas. In addition, we discover ~60 Mb of non-redundant genome content missing in the reference genome sequence assembly. Our results highlight the need for a comprehensive set of alternate haplotypes from different populations to represent SV patterns in the genome. Nature Publishing Group UK 2019-03-04 /pmc/articles/PMC6399254/ /pubmed/30833565 http://dx.doi.org/10.1038/s41467-019-08992-7 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Levy-Sakin, Michal
Pastor, Steven
Mostovoy, Yulia
Li, Le
Leung, Alden K. Y.
McCaffrey, Jennifer
Young, Eleanor
Lam, Ernest T.
Hastie, Alex R.
Wong, Karen H. Y.
Chung, Claire Y. L.
Ma, Walfred
Sibert, Justin
Rajagopalan, Ramakrishnan
Jin, Nana
Chow, Eugene Y. C.
Chu, Catherine
Poon, Annie
Lin, Chin
Naguib, Ahmed
Wang, Wei-Ping
Cao, Han
Chan, Ting-Fung
Yip, Kevin Y.
Xiao, Ming
Kwok, Pui-Yan
Genome maps across 26 human populations reveal population-specific patterns of structural variation
title Genome maps across 26 human populations reveal population-specific patterns of structural variation
title_full Genome maps across 26 human populations reveal population-specific patterns of structural variation
title_fullStr Genome maps across 26 human populations reveal population-specific patterns of structural variation
title_full_unstemmed Genome maps across 26 human populations reveal population-specific patterns of structural variation
title_short Genome maps across 26 human populations reveal population-specific patterns of structural variation
title_sort genome maps across 26 human populations reveal population-specific patterns of structural variation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6399254/
https://www.ncbi.nlm.nih.gov/pubmed/30833565
http://dx.doi.org/10.1038/s41467-019-08992-7
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