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Large-scale genome sequencing redefines the genetic footprints of high-altitude adaptation in Tibetans
BACKGROUND: Tibetans are genetically adapted to high-altitude environments. Though many studies have been conducted, the genetic basis of the adaptation remains elusive due to the poor reproducibility for detecting selective signatures in the Tibetan genomes. RESULTS: Here, we present whole-genome s...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099689/ https://www.ncbi.nlm.nih.gov/pubmed/37055782 http://dx.doi.org/10.1186/s13059-023-02912-1 |
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author | Zheng, Wangshan He, Yaoxi Guo, Yongbo Yue, Tian Zhang, Hui Li, Jun Zhou, Bin Zeng, Xuerui Li, Liya Wang, Bin Cao, Jingxin Chen, Li Li, Chunxia Li, Hongyan Cui, Chaoying Bai, Caijuan Baimakangzhuo Qi, Xuebin Ouzhuluobu Su, Bing |
author_facet | Zheng, Wangshan He, Yaoxi Guo, Yongbo Yue, Tian Zhang, Hui Li, Jun Zhou, Bin Zeng, Xuerui Li, Liya Wang, Bin Cao, Jingxin Chen, Li Li, Chunxia Li, Hongyan Cui, Chaoying Bai, Caijuan Baimakangzhuo Qi, Xuebin Ouzhuluobu Su, Bing |
author_sort | Zheng, Wangshan |
collection | PubMed |
description | BACKGROUND: Tibetans are genetically adapted to high-altitude environments. Though many studies have been conducted, the genetic basis of the adaptation remains elusive due to the poor reproducibility for detecting selective signatures in the Tibetan genomes. RESULTS: Here, we present whole-genome sequencing (WGS) data of 1001 indigenous Tibetans, covering the major populated areas of the Qinghai–Tibetan Plateau in China. We identify 35 million variants, and more than one-third of them are novel variants. Utilizing the large-scale WGS data, we construct a comprehensive map of allele frequency and linkage disequilibrium and provide a population-specific genome reference panel, referred to as 1KTGP. Moreover, with the use of a combined approach, we redefine the signatures of Darwinian-positive selection in the Tibetan genomes, and we characterize a high-confidence list of 4320 variants and 192 genes that have undergone selection in Tibetans. In particular, we discover four new genes, TMEM132C, ATP13A3, SANBR, and KHDRBS2, with strong signals of selection, and they may account for the adaptation of cardio-pulmonary functions in Tibetans. Functional annotation and enrichment analysis indicate that the 192 genes with selective signatures are likely involved in multiple organs and physiological systems, suggesting polygenic and pleiotropic effects. CONCLUSIONS: Overall, the large-scale Tibetan WGS data and the identified adaptive variants/genes can serve as a valuable resource for future genetic and medical studies of high-altitude populations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-023-02912-1. |
format | Online Article Text |
id | pubmed-10099689 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-100996892023-04-14 Large-scale genome sequencing redefines the genetic footprints of high-altitude adaptation in Tibetans Zheng, Wangshan He, Yaoxi Guo, Yongbo Yue, Tian Zhang, Hui Li, Jun Zhou, Bin Zeng, Xuerui Li, Liya Wang, Bin Cao, Jingxin Chen, Li Li, Chunxia Li, Hongyan Cui, Chaoying Bai, Caijuan Baimakangzhuo Qi, Xuebin Ouzhuluobu Su, Bing Genome Biol Research BACKGROUND: Tibetans are genetically adapted to high-altitude environments. Though many studies have been conducted, the genetic basis of the adaptation remains elusive due to the poor reproducibility for detecting selective signatures in the Tibetan genomes. RESULTS: Here, we present whole-genome sequencing (WGS) data of 1001 indigenous Tibetans, covering the major populated areas of the Qinghai–Tibetan Plateau in China. We identify 35 million variants, and more than one-third of them are novel variants. Utilizing the large-scale WGS data, we construct a comprehensive map of allele frequency and linkage disequilibrium and provide a population-specific genome reference panel, referred to as 1KTGP. Moreover, with the use of a combined approach, we redefine the signatures of Darwinian-positive selection in the Tibetan genomes, and we characterize a high-confidence list of 4320 variants and 192 genes that have undergone selection in Tibetans. In particular, we discover four new genes, TMEM132C, ATP13A3, SANBR, and KHDRBS2, with strong signals of selection, and they may account for the adaptation of cardio-pulmonary functions in Tibetans. Functional annotation and enrichment analysis indicate that the 192 genes with selective signatures are likely involved in multiple organs and physiological systems, suggesting polygenic and pleiotropic effects. CONCLUSIONS: Overall, the large-scale Tibetan WGS data and the identified adaptive variants/genes can serve as a valuable resource for future genetic and medical studies of high-altitude populations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-023-02912-1. BioMed Central 2023-04-13 /pmc/articles/PMC10099689/ /pubmed/37055782 http://dx.doi.org/10.1186/s13059-023-02912-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Zheng, Wangshan He, Yaoxi Guo, Yongbo Yue, Tian Zhang, Hui Li, Jun Zhou, Bin Zeng, Xuerui Li, Liya Wang, Bin Cao, Jingxin Chen, Li Li, Chunxia Li, Hongyan Cui, Chaoying Bai, Caijuan Baimakangzhuo Qi, Xuebin Ouzhuluobu Su, Bing Large-scale genome sequencing redefines the genetic footprints of high-altitude adaptation in Tibetans |
title | Large-scale genome sequencing redefines the genetic footprints of high-altitude adaptation in Tibetans |
title_full | Large-scale genome sequencing redefines the genetic footprints of high-altitude adaptation in Tibetans |
title_fullStr | Large-scale genome sequencing redefines the genetic footprints of high-altitude adaptation in Tibetans |
title_full_unstemmed | Large-scale genome sequencing redefines the genetic footprints of high-altitude adaptation in Tibetans |
title_short | Large-scale genome sequencing redefines the genetic footprints of high-altitude adaptation in Tibetans |
title_sort | large-scale genome sequencing redefines the genetic footprints of high-altitude adaptation in tibetans |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099689/ https://www.ncbi.nlm.nih.gov/pubmed/37055782 http://dx.doi.org/10.1186/s13059-023-02912-1 |
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