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  4. A-to-I RNA editing contributes to the persistence of predicted damaging mutations in populations
 
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A-to-I RNA editing contributes to the persistence of predicted damaging mutations in populations

Journal
Genome Research
Journal Volume
29
Journal Issue
11
Pages
1766-1776
Date Issued
2019
Author(s)
Te-Lun Mai  
Trees-Juen Chuang
DOI
10.1101/gr.246033.118
URI
https://scholars.lib.ntu.edu.tw/handle/123456789/593643
URL
https://doi.org/10.1101%2Fgr.246033.118
Abstract
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.
Subjects
DELETERIOUS GENETIC-VARIATION; DNA METHYLATION; MESSENGER-RNA; ACCURATE IDENTIFICATION; EVOLUTIONARY; TRANSCRIPTOME; LANDSCAPE; ALLELE; SITES; VERTEBRATE
SDGs

[SDGs]SDG3

Publisher
Cold Spring Harbor Laboratory
Type
journal article

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