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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2018
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.
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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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