Evidence map›Paper›PMID 25494010›Full record

ArticlePloS one2014

Identification of Genetic Alterations, as Causative Genetic Defects in Long QT Syndrome, Using Next Generation Sequencing Technology.

Oscar Campuzano, Georgia Sarquella-Brugada, Irene Mademont-Soler, Catarina Allegue, Sergi Cesar, Carles Ferrer-Costa, Monica Coll, Jesus Mates, Anna Iglesias, Josep Brugada and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. 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
2.8field-weighted citation impact, top 9% 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, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Discerning the Ambiguous Role of MissenseJournal of personalized medicine · 2022
    Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Genomic-based diagnosis of arrhythmia disease in a personalized medicine era.Expert review of precision medicine and drug development · 2016
    Article
  17. Genetics of long-QT syndrome.Journal of human genetics · 2016
    Review
  18. Article
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 4 institutions in 1 country.

Oscar CampuzanoCardiovascular Genetics Center, University of Girona-IdIBGi, Girona, Spain.
Georgia Sarquella-BrugadaArrhythmia Unit, Hospital Sant Joan de Déu, University of Barcelona, Barcelona, Spain.
Irene Mademont-SolerCardiovascular Genetics Center, University of Girona-IdIBGi, Girona, Spain.
Catarina AllegueCardiovascular Genetics Center, University of Girona-IdIBGi, Girona, Spain.
Sergi CesarArrhythmia Unit, Hospital Sant Joan de Déu, University of Barcelona, Barcelona, Spain.
Carles Ferrer-CostaGendiag SL, Barcelona, Spain.
Monica CollCardiovascular Genetics Center, University of Girona-IdIBGi, Girona, Spain.
Jesus MatesCardiovascular Genetics Center, University of Girona-IdIBGi, Girona, Spain.
Anna IglesiasCardiovascular Genetics Center, University of Girona-IdIBGi, Girona, Spain.
Josep BrugadaArrhythmia Unit, Hospital Sant Joan de Déu, University of Barcelona, Barcelona, Spain.
Ramon BrugadaCardiovascular Genetics Center, University of Girona-IdIBGi, Girona, Spain; Cardiology Service, Hospital Josep Trueta, Girona, Spain.
University of Girona · ESUniversitat de Barcelona · ESHospital Sant Joan de Déu Barcelona · ESHospital Universitari de Girona Doctor Josep Trueta · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLong QT Syndrome is an inherited channelopathy leading to sudden cardiac death due to ventricular arrhythmias. Despite that several genes have been associated with the disease, nearly 20% of cases remain without an identified genetic cause. Other genetic alterations such as copy number variations have been recently related to Long QT Syndrome. Our aim was to take advantage of current genetic technologies in a family affected by Long QT Syndrome in order to identify the cause of the disease.

methodsComplete clinical evaluation was performed in all family members. In the index case, a Next Generation Sequencing custom-built panel, including 55 sudden cardiac death-related genes, was used both for detection of sequence and copy number variants. Next Generation Sequencing variants were confirmed by Sanger method. Copy number variations variants were confirmed by Multiplex Ligation dependent Probe Amplification method and at the mRNA level. Confirmed variants and copy number variations identified in the index case were also analyzed in relatives.

resultsIn the index case, Next Generation Sequencing revealed a novel variant in TTN and a large deletion in KCNQ1, involving exons 7 and 8. Both variants were confirmed by alternative techniques. The mother and the brother of the index case were also affected by Long QT Syndrome, and family cosegregation was observed for the KCNQ1 deletion, but not for the TTN variant.

conclusionsNext Generation Sequencing technology allows a comprehensive genetic analysis of arrhythmogenic diseases. We report a copy number variation identified using Next Generation Sequencing analysis in Long QT Syndrome. Clinical and familiar correlation is crucial to elucidate the role of genetic variants identified to distinguish the pathogenic ones from genetic noise.

Indexed as

AdolescentConnectinFemaleGene DeletionGenetic VariationHigh-Throughput Nucleotide SequencingHumansKCNQ1 Potassium ChannelLong QT SyndromeMaleMultiplex Polymerase Chain ReactionPedigreeConnectinKCNQ1 Potassium ChannelKCNQ1 protein, humanTTN protein, human

Identifiers

PMID25494010
PMCPMC4262446
OpenAlexW2035073032

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.