ArticleGenome research2019
A-to-I RNA editing contributes to the persistence of predicted damaging mutations in populations.
Article in Genome research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Host heterogeneity shapes clonal selection and organotropism in an extranodal lymphoma mouse model.Cell death & disease · 2026Article
- Integrated Transcriptomic Analysis Identifies a Six-Gene Prognostic Signature, RNA Editing Derived Neoantigens, and miRNA Regulatory Networks in Renal Cell Carcinoma.Iranian journal of medical sciences · 2026Article
- Deciphering the impact of genetic variants on vulnerability to Opioid Use Disorder.Frontiers in cellular neuroscience · 2026Article
- RNA modifications in health and disease: from mechanistic insights to therapeutic applications.Precision clinical medicine · 2025Review
- Signal peptides restrict genome evolution and A-to-I RNA editing.NAR genomics and bioinformatics · 2025Article
- Somatic A-to-I RNA-edited RHOA isoform 2 specific-R176G mutation promotes tumor progression in lung adenocarcinoma.Molecular carcinogenesis · 2023Article
- A-to-I RNA editing in honeybees shows signals of adaptation and convergent evolution.iScience · 2021Article
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2 authors.
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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.
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