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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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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. |
format | Online Article Text |
id | pubmed-6399254 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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