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A-to-I RNA editing contributes to the persistence of predicted damaging mutations in populations
Adenosine-to-inosine (A-to-I) RNA editing is a very common co-/posttranscriptional modification that can lead to A-to-G changes at the RNA level and compensate for G-to-A genomic changes to a certain extent. It has been shown that each healthy individual can carry dozens of missense variants predict...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6836733/ https://www.ncbi.nlm.nih.gov/pubmed/31515285 http://dx.doi.org/10.1101/gr.246033.118 |
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author | Mai, Te-Lun Chuang, Trees-Juen |
author_facet | Mai, Te-Lun Chuang, Trees-Juen |
author_sort | Mai, Te-Lun |
collection | PubMed |
description | Adenosine-to-inosine (A-to-I) RNA editing is a very common co-/posttranscriptional modification that can lead to A-to-G changes at the RNA level and compensate for G-to-A genomic changes to a certain extent. It has been shown that each healthy individual can carry dozens of missense variants predicted to be severely deleterious. Why strongly detrimental variants are preserved in a population and not eliminated by negative natural selection remains mostly unclear. Here, we ask if RNA editing correlates with the burden of deleterious A/G polymorphisms in a population. Integrating genome and transcriptome sequencing data from 447 human lymphoblastoid cell lines, we show that nonsynonymous editing activities (prevalence/level) are negatively correlated with the deleteriousness of A-to-G genomic changes and positively correlated with that of G-to-A genomic changes within the population. We find a significantly negative correlation between nonsynonymous editing activities and allele frequency of A within the population. This negative editing-allele frequency correlation is particularly strong when editing sites are located in highly important genes/loci. Examinations of deleterious missense variants from the 1000 Genomes Project further show a significantly higher proportion of rare missense mutations for G-to-A changes than for other types of changes. The proportion for G-to-A changes increases with increasing deleterious effects of the changes. Moreover, the deleteriousness of G-to-A changes is significantly positively correlated with the percentage of editing enzyme binding motifs at the variants. Overall, we show that nonsynonymous editing is associated with the increased burden of G-to-A missense mutations in healthy individuals, expanding RNA editing in pathogenomics studies. |
format | Online Article Text |
id | pubmed-6836733 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Cold Spring Harbor Laboratory Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-68367332019-11-20 A-to-I RNA editing contributes to the persistence of predicted damaging mutations in populations Mai, Te-Lun Chuang, Trees-Juen Genome Res Research Adenosine-to-inosine (A-to-I) RNA editing is a very common co-/posttranscriptional modification that can lead to A-to-G changes at the RNA level and compensate for G-to-A genomic changes to a certain extent. It has been shown that each healthy individual can carry dozens of missense variants predicted to be severely deleterious. Why strongly detrimental variants are preserved in a population and not eliminated by negative natural selection remains mostly unclear. Here, we ask if RNA editing correlates with the burden of deleterious A/G polymorphisms in a population. Integrating genome and transcriptome sequencing data from 447 human lymphoblastoid cell lines, we show that nonsynonymous editing activities (prevalence/level) are negatively correlated with the deleteriousness of A-to-G genomic changes and positively correlated with that of G-to-A genomic changes within the population. We find a significantly negative correlation between nonsynonymous editing activities and allele frequency of A within the population. This negative editing-allele frequency correlation is particularly strong when editing sites are located in highly important genes/loci. Examinations of deleterious missense variants from the 1000 Genomes Project further show a significantly higher proportion of rare missense mutations for G-to-A changes than for other types of changes. The proportion for G-to-A changes increases with increasing deleterious effects of the changes. Moreover, the deleteriousness of G-to-A changes is significantly positively correlated with the percentage of editing enzyme binding motifs at the variants. Overall, we show that nonsynonymous editing is associated with the increased burden of G-to-A missense mutations in healthy individuals, expanding RNA editing in pathogenomics studies. Cold Spring Harbor Laboratory Press 2019-11 /pmc/articles/PMC6836733/ /pubmed/31515285 http://dx.doi.org/10.1101/gr.246033.118 Text en © 2019 Mai and Chuang; Published by Cold Spring Harbor Laboratory Press http://creativecommons.org/licenses/by-nc/4.0/ This article, published in Genome Research, is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Research Mai, Te-Lun Chuang, Trees-Juen A-to-I RNA editing contributes to the persistence of predicted damaging mutations in populations |
title | A-to-I RNA editing contributes to the persistence of predicted damaging mutations in populations |
title_full | A-to-I RNA editing contributes to the persistence of predicted damaging mutations in populations |
title_fullStr | A-to-I RNA editing contributes to the persistence of predicted damaging mutations in populations |
title_full_unstemmed | A-to-I RNA editing contributes to the persistence of predicted damaging mutations in populations |
title_short | A-to-I RNA editing contributes to the persistence of predicted damaging mutations in populations |
title_sort | a-to-i rna editing contributes to the persistence of predicted damaging mutations in populations |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6836733/ https://www.ncbi.nlm.nih.gov/pubmed/31515285 http://dx.doi.org/10.1101/gr.246033.118 |
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