Evidence map›Paper›PMID 27834932›Full record

ArticleInternational journal of molecular sciences2016

Functional Studies and In Silico Analyses to Evaluate Non-Coding Variants in Inherited Cardiomyopathies.

Giulia Frisso, Nicola Detta, Pamela Coppola, Cristina Mazzaccara, Maria Rosaria Pricolo, Antonio D'Onofrio, Giuseppe Limongelli, Raffaele Calabrò, Francesco Salvatore

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

25 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Variants inGenes · 2025
    Review
  3. Spectrum and classification ofSaudi medical journal · 2025
    Article
  4. Clinical and Molecular Analysis ofSultan Qaboos University medical journal · 2025
    Article
  5. Article
  6. Review
  7. Article
  8. The role of noncoding genetic variants in cardiomyopathy.Frontiers in cardiovascular medicine · 2023
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Comparative medicine · 2020
    Article
  19. Review
  20. 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

9 authors at 3 institutions in 1 country.

Giulia FrissoCEINGE-Biotecnologie Avanzate s.c.a r.l., 80145 Napoli, Italy. gfrisso@unina.it.
Nicola DettaCEINGE-Biotecnologie Avanzate s.c.a r.l., 80145 Napoli, Italy. detta@ceinge.unina.it.
Pamela CoppolaCEINGE-Biotecnologie Avanzate s.c.a r.l., 80145 Napoli, Italy. coppolap@ceinge.unina.it.
Cristina MazzaccaraCEINGE-Biotecnologie Avanzate s.c.a r.l., 80145 Napoli, Italy. cristina.mazzaccara@unina.it.
Maria Rosaria PricoloDipartimento di Medicina Molecolare e Biotecnologie Mediche, Università di Napoli Federico II, 80131 Napoli, Italy. mariarosaria.pricolo@unina.it.
Antonio D'OnofrioDipartimento di Cardiologia, Seconda Università degli Studi di Napoli, A.O. Monaldi, Azienda dei Colli, 80131 Napoli, Italy. donofrioant@iol.it.
Giuseppe LimongelliDipartimento di Cardiologia, Seconda Università degli Studi di Napoli, A.O. Monaldi, Azienda dei Colli, 80131 Napoli, Italy. limongelligiuseppe@libero.it.
Raffaele CalabròDipartimento di Cardiologia, Seconda Università degli Studi di Napoli, A.O. Monaldi, Azienda dei Colli, 80131 Napoli, Italy. raffaele.calabro@unina2.it.
Francesco SalvatoreCEINGE-Biotecnologie Avanzate s.c.a r.l., 80145 Napoli, Italy. salvator@unina.it.
Ceinge Biotecnologie Avanzate (Italy) · ITOspedale Monaldi · ITUniversity of Naples Federico II · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Point mutations are the most common cause of inherited diseases. Bioinformatics tools can help to predict the pathogenicity of mutations found during genetic screening, but they may work less well in determining the effect of point mutations in non-coding regions. In silico analysis of intronic variants can reveal their impact on the splicing process, but the consequence of a given substitution is generally not predictable. The aim of this study was to functionally test five intronic variants (

Indexed as

Computer SimulationPoint MutationActinsBase SequenceCardiomyopathiesCardiomyopathy, HypertrophicCarrier ProteinsFamily HealthFemaleGenetic Predisposition to DiseaseHEK293 CellsHumansIntronsMaleModels, GeneticMyosin Binding Protein CACTC1 protein, humanActinsCarrier ProteinsMyosin Binding Protein CNAV1.5 Voltage-Gated Sodium ChannelRNA Splice SitesSCN5A protein, humanACTC1inherited cardiomyopathiesintronic mutationsminigeneMYBPC3non-coding variationsSCN5Asplicing analysis

Identifiers

PMID27834932
PMCPMC5133883
OpenAlexW2552454779

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.