Evidence map›Paper›PMID 24167553›Full record

ArticlePloS one2013

Functional analysis of deep intronic SNP rs13438494 in intron 24 of PCLO gene.

Seunghee Seo, Kanako Takayama, Kyosuke Uno, Kazutaka Ohi, Ryota Hashimoto, Daisuke Nishizawa, Kazutaka Ikeda, Norio Ozaki, Toshitaka Nabeshima, Yoshiaki Miyamoto and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

36 citing papers in PubMed, 63 citations in OpenAlex.

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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

11 authors at 5 institutions in 1 country.

Seunghee SeoDepartment of Pharmaceutical Therapy and Neuropharmacology, Faculty of Pharmaceutical Sciences, University of Toyama, Toyama, Japan ; Department of Pharmaceutical Education, Faculty of Pharmaceutical Sciences, University of Toyama, Toyama, Japan.
Kanako Takayama
Kyosuke Uno
Kazutaka Ohi
Ryota Hashimoto
Daisuke Nishizawa
Kazutaka Ikeda
Norio Ozaki
Toshitaka Nabeshima
Yoshiaki Miyamoto
Atsumi Nitta
University of Toyama · JPOsaka University · JPTokyo Metropolitan Institute of Medical Science · JPMeijo University · JPNagoya University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The single nucleotide polymorphism (SNP) rs13438494 in intron 24 of PCLO was significantly associated with bipolar disorder in a meta-analysis of genome-wide association studies. In this study, we performed functional minigene analysis and bioinformatics prediction of splicing regulatory sequences to characterize the deep intronic SNP rs13438494. We constructed minigenes with A and C alleles containing exon 24, intron 24, and exon 25 of PCLO to assess the genetic effect of rs13438494 on splicing. We found that the C allele of rs13438494 reduces the splicing efficiency of the PCLO minigene. In addition, prediction analysis of enhancer/silencer motifs using the Human Splice Finder web tool indicated that rs13438494 induces the abrogation or creation of such binding sites. Our results indicate that rs13438494 alters splicing efficiency by creating or disrupting a splicing motif, which functions by binding of splicing regulatory proteins, and may ultimately result in bipolar disorder in affected people.

Indexed as

AllelesIntronsPolymorphism, Single NucleotideRNA Splice SitesRNA SplicingBinding SitesBipolar DisorderCell LineCytoskeletal ProteinsGenome-Wide Association StudyHumansMeta-Analysis as TopicNeuropeptidesCytoskeletal ProteinsNeuropeptidesPCLO protein, humanRNA Splice Sites

Identifiers

PMID24167553
PMCPMC3805565
OpenAlexW2043640862

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.