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The landscape of the A-to-I RNA editome from 462 human genomes
A-to-I editing, as a post-transcriptional modification process mediated by ADAR, plays a crucial role in many biological processes in metazoans. However, how and to what extent A-to-I editing diversifies and shapes population diversity at the RNA level are largely unknown. Here, we used 462 mRNA-seq...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6089959/ https://www.ncbi.nlm.nih.gov/pubmed/30104667 http://dx.doi.org/10.1038/s41598-018-30583-7 |
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author | Ouyang, Zhangyi Ren, Chao Liu, Feng An, Gaole Bo, Xiaochen Shu, Wenjie |
author_facet | Ouyang, Zhangyi Ren, Chao Liu, Feng An, Gaole Bo, Xiaochen Shu, Wenjie |
author_sort | Ouyang, Zhangyi |
collection | PubMed |
description | A-to-I editing, as a post-transcriptional modification process mediated by ADAR, plays a crucial role in many biological processes in metazoans. However, how and to what extent A-to-I editing diversifies and shapes population diversity at the RNA level are largely unknown. Here, we used 462 mRNA-sequencing samples from five populations of the Geuvadis Project and identified 16,518 A-to-I editing sites, with false detection rate of 1.03%. These sites form the landscape of the RNA editome of the human genome. By exploring RNA editing within and between populations, we revealed the geographic restriction of rare editing sites and population-specific patterns of edQTL editing sites. Moreover, we showed that RNA editing can be used to characterize the subtle but substantial diversity between different populations, especially those from different continents. Taken together, our results demonstrated that the nature and structure of populations at the RNA level are illustrated well by RNA editing, which provides insights into the process of how A-to-I editing shapes population diversity at the transcriptomic level. Our work will facilitate the understanding of the landscape of the RNA editome at the population scale and will be helpful for interpreting differences in the distribution and prevalence of disease among individuals and across populations. |
format | Online Article Text |
id | pubmed-6089959 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-60899592018-08-17 The landscape of the A-to-I RNA editome from 462 human genomes Ouyang, Zhangyi Ren, Chao Liu, Feng An, Gaole Bo, Xiaochen Shu, Wenjie Sci Rep Article A-to-I editing, as a post-transcriptional modification process mediated by ADAR, plays a crucial role in many biological processes in metazoans. However, how and to what extent A-to-I editing diversifies and shapes population diversity at the RNA level are largely unknown. Here, we used 462 mRNA-sequencing samples from five populations of the Geuvadis Project and identified 16,518 A-to-I editing sites, with false detection rate of 1.03%. These sites form the landscape of the RNA editome of the human genome. By exploring RNA editing within and between populations, we revealed the geographic restriction of rare editing sites and population-specific patterns of edQTL editing sites. Moreover, we showed that RNA editing can be used to characterize the subtle but substantial diversity between different populations, especially those from different continents. Taken together, our results demonstrated that the nature and structure of populations at the RNA level are illustrated well by RNA editing, which provides insights into the process of how A-to-I editing shapes population diversity at the transcriptomic level. Our work will facilitate the understanding of the landscape of the RNA editome at the population scale and will be helpful for interpreting differences in the distribution and prevalence of disease among individuals and across populations. Nature Publishing Group UK 2018-08-13 /pmc/articles/PMC6089959/ /pubmed/30104667 http://dx.doi.org/10.1038/s41598-018-30583-7 Text en © The Author(s) 2018 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 Ouyang, Zhangyi Ren, Chao Liu, Feng An, Gaole Bo, Xiaochen Shu, Wenjie The landscape of the A-to-I RNA editome from 462 human genomes |
title | The landscape of the A-to-I RNA editome from 462 human genomes |
title_full | The landscape of the A-to-I RNA editome from 462 human genomes |
title_fullStr | The landscape of the A-to-I RNA editome from 462 human genomes |
title_full_unstemmed | The landscape of the A-to-I RNA editome from 462 human genomes |
title_short | The landscape of the A-to-I RNA editome from 462 human genomes |
title_sort | landscape of the a-to-i rna editome from 462 human genomes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6089959/ https://www.ncbi.nlm.nih.gov/pubmed/30104667 http://dx.doi.org/10.1038/s41598-018-30583-7 |
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