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Structural variants in the Chinese population and their impact on phenotypes, diseases and population adaptation
A complete characterization of genetic variation is a fundamental goal of human genome research. Long-read sequencing has improved the sensitivity of structural variant discovery. Here, we conduct the long-read sequencing-based structural variant analysis for 405 unrelated Chinese individuals, with...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8586011/ https://www.ncbi.nlm.nih.gov/pubmed/34764282 http://dx.doi.org/10.1038/s41467-021-26856-x |
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author | Wu, Zhikun Jiang, Zehang Li, Tong Xie, Chuanbo Zhao, Liansheng Yang, Jiaqi Ouyang, Shuai Liu, Yizhi Li, Tao Xie, Zhi |
author_facet | Wu, Zhikun Jiang, Zehang Li, Tong Xie, Chuanbo Zhao, Liansheng Yang, Jiaqi Ouyang, Shuai Liu, Yizhi Li, Tao Xie, Zhi |
author_sort | Wu, Zhikun |
collection | PubMed |
description | A complete characterization of genetic variation is a fundamental goal of human genome research. Long-read sequencing has improved the sensitivity of structural variant discovery. Here, we conduct the long-read sequencing-based structural variant analysis for 405 unrelated Chinese individuals, with 68 phenotypic and clinical measurements. We discover a landscape of 132,312 nonredundant structural variants, of which 45.2% are novel. The identified structural variants are of high-quality, with an estimated false discovery rate of 3.2%. The concatenated length of all the structural variants is approximately 13.2% of the human reference genome. We annotate 1,929 loss-of-function structural variants affecting the coding sequence of 1,681 genes. We discover rare deletions in HBA1/HBA2/HBB associated with anemia. Furthermore, we identify structural variants related to immunity which differentiate the northern and southern Chinese populations. Our study describes the landscape of structural variants in the Chinese population and their contribution to phenotypes and disease. |
format | Online Article Text |
id | pubmed-8586011 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-85860112021-11-15 Structural variants in the Chinese population and their impact on phenotypes, diseases and population adaptation Wu, Zhikun Jiang, Zehang Li, Tong Xie, Chuanbo Zhao, Liansheng Yang, Jiaqi Ouyang, Shuai Liu, Yizhi Li, Tao Xie, Zhi Nat Commun Article A complete characterization of genetic variation is a fundamental goal of human genome research. Long-read sequencing has improved the sensitivity of structural variant discovery. Here, we conduct the long-read sequencing-based structural variant analysis for 405 unrelated Chinese individuals, with 68 phenotypic and clinical measurements. We discover a landscape of 132,312 nonredundant structural variants, of which 45.2% are novel. The identified structural variants are of high-quality, with an estimated false discovery rate of 3.2%. The concatenated length of all the structural variants is approximately 13.2% of the human reference genome. We annotate 1,929 loss-of-function structural variants affecting the coding sequence of 1,681 genes. We discover rare deletions in HBA1/HBA2/HBB associated with anemia. Furthermore, we identify structural variants related to immunity which differentiate the northern and southern Chinese populations. Our study describes the landscape of structural variants in the Chinese population and their contribution to phenotypes and disease. Nature Publishing Group UK 2021-11-11 /pmc/articles/PMC8586011/ /pubmed/34764282 http://dx.doi.org/10.1038/s41467-021-26856-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Wu, Zhikun Jiang, Zehang Li, Tong Xie, Chuanbo Zhao, Liansheng Yang, Jiaqi Ouyang, Shuai Liu, Yizhi Li, Tao Xie, Zhi Structural variants in the Chinese population and their impact on phenotypes, diseases and population adaptation |
title | Structural variants in the Chinese population and their impact on phenotypes, diseases and population adaptation |
title_full | Structural variants in the Chinese population and their impact on phenotypes, diseases and population adaptation |
title_fullStr | Structural variants in the Chinese population and their impact on phenotypes, diseases and population adaptation |
title_full_unstemmed | Structural variants in the Chinese population and their impact on phenotypes, diseases and population adaptation |
title_short | Structural variants in the Chinese population and their impact on phenotypes, diseases and population adaptation |
title_sort | structural variants in the chinese population and their impact on phenotypes, diseases and population adaptation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8586011/ https://www.ncbi.nlm.nih.gov/pubmed/34764282 http://dx.doi.org/10.1038/s41467-021-26856-x |
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