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Global analysis of A-to-I RNA editing reveals association with common disease variants
RNA editing modifies transcripts and may alter their regulation or function. In humans, the most common modification is adenosine to inosine (A-to-I). We examined the global characteristics of RNA editing in 4,301 human tissue samples. More than 1.6 million A-to-I edits were identified in 62% of all...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5844249/ https://www.ncbi.nlm.nih.gov/pubmed/29527417 http://dx.doi.org/10.7717/peerj.4466 |
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author | Franzén, Oscar Ermel, Raili Sukhavasi, Katyayani Jain, Rajeev Jain, Anamika Betsholtz, Christer Giannarelli, Chiara Kovacic, Jason C. Ruusalepp, Arno Skogsberg, Josefin Hao, Ke Schadt, Eric E. Björkegren, Johan L.M. |
author_facet | Franzén, Oscar Ermel, Raili Sukhavasi, Katyayani Jain, Rajeev Jain, Anamika Betsholtz, Christer Giannarelli, Chiara Kovacic, Jason C. Ruusalepp, Arno Skogsberg, Josefin Hao, Ke Schadt, Eric E. Björkegren, Johan L.M. |
author_sort | Franzén, Oscar |
collection | PubMed |
description | RNA editing modifies transcripts and may alter their regulation or function. In humans, the most common modification is adenosine to inosine (A-to-I). We examined the global characteristics of RNA editing in 4,301 human tissue samples. More than 1.6 million A-to-I edits were identified in 62% of all protein-coding transcripts. mRNA recoding was extremely rare; only 11 novel recoding sites were uncovered. Thirty single nucleotide polymorphisms from genome-wide association studies were associated with RNA editing; one that influences type 2 diabetes (rs2028299) was associated with editing in ARPIN. Twenty-five genes, including LRP11 and PLIN5, had editing sites that were associated with plasma lipid levels. Our findings provide new insights into the genetic regulation of RNA editing and establish a rich catalogue for further exploration of this process. |
format | Online Article Text |
id | pubmed-5844249 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-58442492018-03-09 Global analysis of A-to-I RNA editing reveals association with common disease variants Franzén, Oscar Ermel, Raili Sukhavasi, Katyayani Jain, Rajeev Jain, Anamika Betsholtz, Christer Giannarelli, Chiara Kovacic, Jason C. Ruusalepp, Arno Skogsberg, Josefin Hao, Ke Schadt, Eric E. Björkegren, Johan L.M. PeerJ Computational Biology RNA editing modifies transcripts and may alter their regulation or function. In humans, the most common modification is adenosine to inosine (A-to-I). We examined the global characteristics of RNA editing in 4,301 human tissue samples. More than 1.6 million A-to-I edits were identified in 62% of all protein-coding transcripts. mRNA recoding was extremely rare; only 11 novel recoding sites were uncovered. Thirty single nucleotide polymorphisms from genome-wide association studies were associated with RNA editing; one that influences type 2 diabetes (rs2028299) was associated with editing in ARPIN. Twenty-five genes, including LRP11 and PLIN5, had editing sites that were associated with plasma lipid levels. Our findings provide new insights into the genetic regulation of RNA editing and establish a rich catalogue for further exploration of this process. PeerJ Inc. 2018-03-06 /pmc/articles/PMC5844249/ /pubmed/29527417 http://dx.doi.org/10.7717/peerj.4466 Text en ©2018 Franzén et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Computational Biology Franzén, Oscar Ermel, Raili Sukhavasi, Katyayani Jain, Rajeev Jain, Anamika Betsholtz, Christer Giannarelli, Chiara Kovacic, Jason C. Ruusalepp, Arno Skogsberg, Josefin Hao, Ke Schadt, Eric E. Björkegren, Johan L.M. Global analysis of A-to-I RNA editing reveals association with common disease variants |
title | Global analysis of A-to-I RNA editing reveals association with common disease variants |
title_full | Global analysis of A-to-I RNA editing reveals association with common disease variants |
title_fullStr | Global analysis of A-to-I RNA editing reveals association with common disease variants |
title_full_unstemmed | Global analysis of A-to-I RNA editing reveals association with common disease variants |
title_short | Global analysis of A-to-I RNA editing reveals association with common disease variants |
title_sort | global analysis of a-to-i rna editing reveals association with common disease variants |
topic | Computational Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5844249/ https://www.ncbi.nlm.nih.gov/pubmed/29527417 http://dx.doi.org/10.7717/peerj.4466 |
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