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Population and allelic variation of A-to-I RNA editing in human transcriptomes
BACKGROUND: A-to-I RNA editing is an important step in RNA processing in which specific adenosines in some RNA molecules are post-transcriptionally modified to inosines. RNA editing has emerged as a widespread mechanism for generating transcriptome diversity. However, there remain significant knowle...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5532815/ https://www.ncbi.nlm.nih.gov/pubmed/28754146 http://dx.doi.org/10.1186/s13059-017-1270-7 |
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author | Park, Eddie Guo, Jiguang Shen, Shihao Demirdjian, Levon Wu, Ying Nian Lin, Lan Xing, Yi |
author_facet | Park, Eddie Guo, Jiguang Shen, Shihao Demirdjian, Levon Wu, Ying Nian Lin, Lan Xing, Yi |
author_sort | Park, Eddie |
collection | PubMed |
description | BACKGROUND: A-to-I RNA editing is an important step in RNA processing in which specific adenosines in some RNA molecules are post-transcriptionally modified to inosines. RNA editing has emerged as a widespread mechanism for generating transcriptome diversity. However, there remain significant knowledge gaps about the variation and function of RNA editing. RESULTS: In order to determine the influence of genetic variation on A-to-I RNA editing, we integrate genomic and transcriptomic data from 445 human lymphoblastoid cell lines by combining an RNA editing QTL (edQTL) analysis with an allele-specific RNA editing (ASED) analysis. We identify 1054 RNA editing events associated with cis genetic polymorphisms. Additionally, we find that a subset of these polymorphisms is linked to genome-wide association study signals of complex traits or diseases. Finally, compared to random cis polymorphisms, polymorphisms associated with RNA editing variation are located closer spatially to their respective editing sites and have a more pronounced impact on RNA secondary structure. CONCLUSIONS: Our study reveals widespread cis variation in RNA editing among genetically distinct individuals and sheds light on possible phenotypic consequences of such variation on complex traits and diseases. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-017-1270-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5532815 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-55328152017-08-02 Population and allelic variation of A-to-I RNA editing in human transcriptomes Park, Eddie Guo, Jiguang Shen, Shihao Demirdjian, Levon Wu, Ying Nian Lin, Lan Xing, Yi Genome Biol Research BACKGROUND: A-to-I RNA editing is an important step in RNA processing in which specific adenosines in some RNA molecules are post-transcriptionally modified to inosines. RNA editing has emerged as a widespread mechanism for generating transcriptome diversity. However, there remain significant knowledge gaps about the variation and function of RNA editing. RESULTS: In order to determine the influence of genetic variation on A-to-I RNA editing, we integrate genomic and transcriptomic data from 445 human lymphoblastoid cell lines by combining an RNA editing QTL (edQTL) analysis with an allele-specific RNA editing (ASED) analysis. We identify 1054 RNA editing events associated with cis genetic polymorphisms. Additionally, we find that a subset of these polymorphisms is linked to genome-wide association study signals of complex traits or diseases. Finally, compared to random cis polymorphisms, polymorphisms associated with RNA editing variation are located closer spatially to their respective editing sites and have a more pronounced impact on RNA secondary structure. CONCLUSIONS: Our study reveals widespread cis variation in RNA editing among genetically distinct individuals and sheds light on possible phenotypic consequences of such variation on complex traits and diseases. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-017-1270-7) contains supplementary material, which is available to authorized users. BioMed Central 2017-07-28 /pmc/articles/PMC5532815/ /pubmed/28754146 http://dx.doi.org/10.1186/s13059-017-1270-7 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Park, Eddie Guo, Jiguang Shen, Shihao Demirdjian, Levon Wu, Ying Nian Lin, Lan Xing, Yi Population and allelic variation of A-to-I RNA editing in human transcriptomes |
title | Population and allelic variation of A-to-I RNA editing in human transcriptomes |
title_full | Population and allelic variation of A-to-I RNA editing in human transcriptomes |
title_fullStr | Population and allelic variation of A-to-I RNA editing in human transcriptomes |
title_full_unstemmed | Population and allelic variation of A-to-I RNA editing in human transcriptomes |
title_short | Population and allelic variation of A-to-I RNA editing in human transcriptomes |
title_sort | population and allelic variation of a-to-i rna editing in human transcriptomes |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5532815/ https://www.ncbi.nlm.nih.gov/pubmed/28754146 http://dx.doi.org/10.1186/s13059-017-1270-7 |
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