Evidence map›Paper›PMID 24606995›Full record

ArticleBMC medical genetics2014

Mutations in Danish patients with long QT syndrome and the identification of a large founder family with p.F29L in KCNH2.

Michael Christiansen, Paula L Hedley, Juliane Theilade, Birgitte Stoevring, Trond P Leren, Ole Eschen, Karina M Sørensen, Anne Tybjærg-Hansen, Lilian B Ousager, Lisbeth N Pedersen and 10 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 19 citations in OpenAlex.

  1. Functional Profiling ofCirculation. Genomic and precision medicine · 2025
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  7. Estimating the Posttest Probability of Long QT Syndrome Diagnosis for RareCirculation. Genomic and precision medicine · 2021
    Article
  8. Article
  9. Article
  10. MicroRNAs in cardiac arrhythmia: DNA sequence variation of MiR-1 and MiR-133A in long QT syndrome.Scandinavian journal of clinical and laboratory investigation · 2014
    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

20 authors at 9 institutions in 3 countries.

Michael ChristiansenDepartment of Clinical Biochemistry, Immunology and Genetics, Statens Serum Institut, Ørestads Boulevard 5, 2300S, Copenhagen, Denmark. mic@ssi.dk.
Paula L Hedley
Juliane Theilade
Birgitte Stoevring
Trond P Leren
Ole Eschen
Karina M Sørensen
Anne Tybjærg-Hansen
Lilian B Ousager
Lisbeth N Pedersen
Ruth Frikke-Schmidt
Frederik H Aidt
Michael G Hansen
Jim Hansen
Poul E Bloch Thomsen
Egon Toft
Finn L Henriksen
Henning Bundgaard
Henrik K Jensen
Jørgen K Kanters
Statens Serum Institut · DKUniversity of Copenhagen · DKAalborg University · DKAarhus University Hospital · DKHerlev Hospital · DKOdense University Hospital · DKRigshospitalet · DKOslo University Hospital · NOStellenbosch University · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLong QT syndrome (LQTS) is a cardiac ion channelopathy which presents clinically with palpitations, syncope or sudden death. More than 700 LQTS-causing mutations have been identified in 13 genes, all of which encode proteins involved in the execution of the cardiac action potential. The most frequently affected genes, covering > 90% of cases, are KCNQ1, KCNH2 and SCN5A.

methodsWe describe 64 different mutations in 70 unrelated Danish families using a routine five-gene screen, comprising KCNQ1, KCNH2 and SCN5A as well as KCNE1 and KCNE2.

resultsTwenty-two mutations were found in KCNQ1, 28 in KCNH2, 9 in SCN5A, 3 in KCNE1 and 2 in KCNE2. Twenty-six of these have only been described in the Danish population and 18 are novel. One double heterozygote (1.4% of families) was found. A founder mutation, p.F29L in KCNH2, was identified in 5 "unrelated" families. Disease association, in 31.2% of cases, was based on the type of mutation identified (nonsense, insertion/deletion, frameshift or splice-site). Functional data was available for 22.7% of the missense mutations. None of the mutations were found in 364 Danish alleles and only three, all functionally characterised, were recorded in the Exome Variation Server, albeit at a frequency of < 1:1000.

conclusionThe genetic etiology of LQTS in Denmark is similar to that found in other populations. A large founder family with p.F29L in KCNH2 was identified. In 48.4% of the mutations disease causation was based on mutation type or functional analysis.

Indexed as

Mutation, MissenseCase-Control StudiesDenmarkDNA Mutational AnalysisERG1 Potassium ChannelEther-A-Go-Go Potassium ChannelsFemaleFounder EffectGenetic Association StudiesGenetic Predisposition to DiseaseHaplotypesHumansKCNQ1 Potassium ChannelLong QT SyndromeMaleMicrosatellite RepeatsERG1 Potassium ChannelEther-A-Go-Go Potassium ChannelsKCNE1 protein, humanKCNE2 protein, humanKCNH2 protein, humanKCNQ1 Potassium ChannelKCNQ1 protein, humanNAV1.5 Voltage-Gated Sodium ChannelPotassium Channels, Voltage-GatedSCN5A protein, human

Identifiers

PMID24606995
PMCPMC4007532
OpenAlexW2152023871

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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.