Evidence map›Paper›PMID 28472998›Full record

ArticleHuman genomics2017

In silico prioritization and further functional characterization of SPINK1 intronic variants.

Wen-Bin Zou, Hao Wu, Arnaud Boulling, David N Cooper, Zhao-Shen Li, Zhuan Liao, Jian-Min Chen, Claude Férec

Open access · goldAbstract read
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Article in Human genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

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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

6 citing papers in PubMed, 16 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

8 authors at 5 institutions in 3 countries.

Wen-Bin ZouDepartment of Gastroenterology, Changhai Hospital, Second Military Medical University, Shanghai, China.
Hao WuDepartment of Gastroenterology, Changhai Hospital, Second Military Medical University, Shanghai, China.
Arnaud BoullingInstitut National de la Santé et de la Recherche Médicale (INSERM), U1078, Brest, France.
David N CooperInstitute of Medical Genetics, School of Medicine, Cardiff University, Cardiff, UK.
Zhao-Shen LiDepartment of Gastroenterology, Changhai Hospital, Second Military Medical University, Shanghai, China. zhaoshenli@hotmail.com.
Zhuan LiaoDepartment of Gastroenterology, Changhai Hospital, Second Military Medical University, Shanghai, China. liaozhuan@smmu.edu.cn.
Jian-Min ChenInstitut National de la Santé et de la Recherche Médicale (INSERM), U1078, Brest, France. Jian-Min.Chen@univ-brest.fr.
Claude FérecInstitut National de la Santé et de la Recherche Médicale (INSERM), U1078, Brest, France.
Inserm · FRSecond Military Medical University · CNCardiff University · GBChanghai Hospital · CNShanghai Institute of Hematology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSPINK1 (serine protease inhibitor, kazal-type, 1), which encodes human pancreatic secretory trypsin inhibitor, is one of the most extensively studied genes underlying chronic pancreatitis. Recently, based upon data from qualitative reverse transcription-PCR (RT-PCR) analyses of transfected HEK293T cells, we concluded that 24 studied SPINK1 intronic variants were not of pathological significance, the sole exceptions being two canonical splice site variants (i.e., c.87 + 1G > A and c.194 + 2T > C). Herein, we employed the splicing prediction tools included within the Alamut software suite to prioritize the 'non-pathological' SPINK1 intronic variants for further quantitative RT-PCR analysis.

resultsAlthough our results demonstrated the utility of in silico prediction in classifying and prioritizing intronic variants, we made two observations worth noting. First, we established that most of the prediction tools employed ignored the general rule that GC is a weaker donor splice site than the canonical GT site. This finding is potentially important because for a given disease gene, a GC variant donor splice site may be associated with a milder clinical manifestation. Second, the non-pathological c.194 + 13T > G variant was consistently predicted by different programs to generate a new and viable donor splice site, the prediction scores being comparable to those for the physiological c.194 + 2T donor splice site and even higher than those for the physiological c.87 + 1G donor splice site. We do however provide convincing in vitro evidence that the predicted donor splice site was not entirely spurious.

conclusionsOur findings, taken together, serve to emphasize the importance of functional analysis in helping to establish or refute the pathogenicity of specific intronic variants.

Indexed as

RNA Splice SitesComputer SimulationGenetic VariationIntronsPancreatitisReverse Transcriptase Polymerase Chain ReactionRNA, MessengerRNA StabilitySoftwareTrypsin Inhibitor, Kazal PancreaticRNA, MessengerRNA Splice SitesSPINK1 protein, humanTrypsin Inhibitor, Kazal PancreaticAberrant mRNA transcriptsChronic pancreatitisIn silicoIntronic variantsNon-canonical splice sitesQuantitative RT-PCR analysisSPINK1Splicing phenotype prediction

Identifiers

PMID28472998
PMCPMC5418720
OpenAlexW2611333243

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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.