Evidence map›Paper›PMID 39085971›Full record

ArticleFEBS open bio2024

Identification and analysis of short indels inducing exon extension/shrinkage events.

Zhuo Qu, Narumi Sakaguchi, Chie Kikutake, Mikita Suyama

Abstract read
In one paragraph

Article in FEBS open bio, 2024. 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
–field-weighted citation impact
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. Review
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.

Zhuo QuDivision of Bioinformatics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan.ORCID https://orcid.org/0000-0003-1787-2297
Narumi SakaguchiDivision of Bioinformatics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan.
Chie KikutakeDivision of Bioinformatics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan.
Mikita SuyamaDivision of Bioinformatics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan.ORCID https://orcid.org/0000-0001-9526-3193

Funding

Fukuoka Foundation for Sound HealthJapan Science and Technology Corporation JPMJFS2132Japan Science and Technology Corporation JPMJSP2136Japan Society for the Promotion of Science 20K15780Uehara Memorial Foundation
6 · The paper itself

Abstract

The search for genetic variants that act as causative factors in human diseases by disrupting the normal splicing process has primarily focused on single nucleotide variants (SNVs). It is worth noting that insertions or deletions (indels) have also been sporadically reported as causative disease variants through their potential impact on the splicing process. In this study, to perform identification of indels inducing exon extension/shrinkage events, we used individual-specific genomes and RNA sequencing (RNA-seq) data pertaining to the corresponding individuals and identified 12 exon extension/shrinkage events that were potentially induced by indels that disrupted authentic splice sites or created novel splice sites in 235 normal individuals. By evaluating the impact of these abnormal splicing events on the resulting transcripts, we found that five events led to the generation of premature termination codons (PTCs), including those occurring within genes associated with genetic disorders. Our analysis revealed that the potential functions of indels have been underexamined, and it is worth considering the possibility that indels may affect splice site usage, using RNA-seq data to discover novel potentially disease-associated mutations.

Indexed as

ExonsINDEL MutationCodon, NonsenseHumansPolymorphism, Single NucleotideRNA Splice SitesRNA SplicingCodon, NonsenseRNA Splice Sitesexon extension/shrinkageindividual‐specific genomeRNA‐seqshort indels

Identifiers

PMID39085971
PMCPMC11452298

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Registered trials

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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.