Evidence map›Paper›PMID 36329613›Full record

ArticleRNA biology2022

Genome-wide identification of exon extension/shrinkage events induced by splice-site-creating mutations.

Zhuo Qu, Narumi Sakaguchi, Chie Kikutake, Mikita Suyama

Open access · goldAbstract read
In one paragraph

Article in RNA biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 56% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Zhuo QuDivision of Bioinformatics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan.ORCID 0000-0003-1787-2297
Narumi SakaguchiDivision of Bioinformatics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan.ORCID 0000-0002-4077-0099
Chie KikutakeDivision of Bioinformatics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan.ORCID 0000-0002-9571-641X
Mikita SuyamaDivision of Bioinformatics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan.ORCID 0000-0001-9526-3193
Kyushu University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mutations that affect phenotypes have been identified primarily as those that directly alter amino acid sequences or disrupt splice sites. However, some mutations not located in functionally important sites can also affect phenotypes, such as splice-site-creating mutations (SCMs). To investigate how frequent exon extension/shrinkage events induced by SCMs occur in normal individuals, we used personal genome sequencing data and transcriptome data of the corresponding individuals and identified 371 exon extension/shrinkage events in normal individuals. This number was about three times higher than the number of pseudo-exon activation events identified in the previous study. The average numbers of exon extension and exon shrinkage events in each sample were 3.3 and 11.2, respectively. We also evaluated the impact of exon extension/shrinkage events on the resulting transcripts and their protein products and found that 40.2% of the identified events may have possible functional impacts by either generating premature termination codons in transcripts or affecting protein domains. Our results indicated that a certain fraction of SCMs identified in this study can be pathogenic mutations by creating novel splice sites.

Indexed as

ProteinsRNA SplicingBase SequenceExonsIntronsMutationRNA Splice SitesProteinsRNA Splice Sitesexon extensionexon shrinkagepersonal genomeRNA-SeqSplice-site-creating mutation

Identifiers

PMID36329613
PMCPMC9639565
OpenAlexW4308201859

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.