Evidence map›Paper›PMID 20635405›Full record

ArticleHuman mutation2010

Transcriptional and translational effects of intronic CAPN3 gene mutations.

Anna Chiara Nascimbeni, Marina Fanin, Elisabetta Tasca, Corrado Angelini

Open access · bronzeAbstract read
In one paragraph

Article in Human mutation, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

18 citing papers in PubMed, 42 citations in OpenAlex.

  1. Genetic polymorphisms of theFrontiers in genetics · 2026
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  13. NOVEL intronic CAPN3 Roma mutation alters splicing causing RNA mediated decay.Annals of clinical and translational neurology · 2019
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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

4 authors at 2 institutions in 1 country.

Anna Chiara NascimbeniDepartment of Neurosciences, University of Padova, Italy.
Marina Fanin
Elisabetta Tasca
Corrado Angelini
Veneto Institute of Molecular Medicine · ITUniversity of Padua · IT

Funding

Telethon GTB07001
6 · The paper itself

Abstract

Variants of unknown significance in the CAPN3 gene constitute a significant challenge for genetic counselling. Despite the frequency of intronic nucleotide changes in this gene (15-25% of all mutations), so far their pathogenicity has only been inferred by in-silico analysis, and occasionally, proven by RNA analysis. In this study, 5 different intronic variants (one novel) that bioinformatic tools predicted would affect RNA splicing, underwent comprehensive studies which were designed to prove they are disease-causing. Muscle mRNA from 15 calpainopathy patients was analyzed by RT-PCR and splicing-specific-PCR tests. We established the previously unrecognized pathogenicity of these mutations, which caused aberrant splicing, most frequently by the activation of cryptic splicing sites or, occasionally, by exon skipping. The absence or severe reduction of protein demonstrated their deleterious effect at translational level. We concluded that bioinformatic tools are valuable to suggest the potential effects of intronic variants; however, the experimental demonstration of the pathogenicity is not always easy to do even when using RNA analysis (low abundance, degradation mechanisms), and it might not be successful unless splicing-specific-PCR tests are used. A comprehensive approach is therefore recommended to identify and describe unclassified variants in order to offer essential data for basic and clinical geneticists.

Indexed as

Transcription, GeneticBase SequenceCalpainHumansIntronsMolecular Sequence DataMuscle ProteinsMutationProtein BiosynthesisRNARNA SplicingCalpainCAPN3 protein, humanMuscle ProteinsRNA

Identifiers

PMID20635405
PMCPMC2966865
OpenAlexW2091928626

What OpenQuestion holds

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LicenceCC BY
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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.