Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Mai, Te-Lun, Chuang, Trees-Juen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2019
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
_version_ 1783466960491642880
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
work_keys_str_mv AT maitelun atoirnaeditingcontributestothepersistenceofpredicteddamagingmutationsinpopulations
AT chuangtreesjuen atoirnaeditingcontributestothepersistenceofpredicteddamagingmutationsinpopulations