2018
DOI: 10.7717/peerj.4466
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Global analysis of A-to-I RNA editing reveals association with common disease variants

Abstract: 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 editin… Show more

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Cited by 21 publications
(22 citation statements)
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References 80 publications
(105 reference statements)
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“…The second and third type of the identified events were T-to-C and G-to-A mismatches. Interestingly, similar results are reported in human (Ramaswami et al, 2013, Franzén et al, 2018 and bovine (Bakhtiarizadeh et al, 2018), which used strand-specific RNA-Seq data for RNA editing detection. On the other hand, we can use the ratio of G-to-A to Ato-G mismatches as a criterion for evaluating the specificity of the RNA editing detection, as have been used in previous studies (Levanon et al, 2004, Bahn et al, 2012, Liscovitch-Brauer et al, 2017.…”
Section: Discussionsupporting
confidence: 79%
See 1 more Smart Citation
“…The second and third type of the identified events were T-to-C and G-to-A mismatches. Interestingly, similar results are reported in human (Ramaswami et al, 2013, Franzén et al, 2018 and bovine (Bakhtiarizadeh et al, 2018), which used strand-specific RNA-Seq data for RNA editing detection. On the other hand, we can use the ratio of G-to-A to Ato-G mismatches as a criterion for evaluating the specificity of the RNA editing detection, as have been used in previous studies (Levanon et al, 2004, Bahn et al, 2012, Liscovitch-Brauer et al, 2017.…”
Section: Discussionsupporting
confidence: 79%
“…We also observed low overlap among the three studies in chicken (Supplementary File S7). The limited overlap can be attributed in large part to differences in computational strategy, experimental design, read length and variability in the sequencing type (single/paired-end or stranded/non-stranded) as well as sequencing depth of samples, whereas the importance of these factors is highlighted in previous studies (Diroma et al, 2017, Franzén et al, 2018. For example, Hung et.…”
Section: )mentioning
confidence: 99%
“…; Franzén et al . ) and bovine (Bakhtiarizadeh et al . ), for which strand‐specific RNA‐seq data was used for RNA editing detection.…”
Section: Discussionmentioning
confidence: 99%
“…Recently, global editing level has been investigated across tissues and in different species [21,22] and has also been correlated with the genetic background of human population [30,50] and with common disease variants [29]. However, the published studies lack a detailed characterization of samples that allows assessing the role of biological and environmental factors.…”
Section: Discussionmentioning
confidence: 99%
“…In parallel, the development of computational pipelines to search for RNA editing sites on RNA-Seq data, allowed a global analysis of the editing reaction, shedding light on its evolutionary conservation [20], tissues specificity [21,22], cellular specificity [23] and its role in diseases such cancer [24] or neurological disorders [9,25].About 2.5 million editing sites have been identified so far and are listed in RNA editing databases [26,27], but only recently the dynamic and regulation of RNA editing has been systematically investigated in human tissues [22]. However, little is known about how editing process could be influenced by genetic variations [28,29], biological and environmental variables [30]. Here, we want to go further in characterizing and understanding the complexity of RNA editing.…”
mentioning
confidence: 99%