Evidence map›Paper›PMID 21769575›Full record

ArticleInternational journal of legal medicine2012

Long QT syndrome mutation detection by SNaPshot technique.

Jeanett Edelmann, Stefanie Schumann, Marina Nastainczyk, Daniela Husser-Bollmann, Rüdiger Lessig

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In one paragraph

Article in International journal of legal medicine, 2012. 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
1.0field-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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Sudden cardiac death-update.International journal of legal medicine · 2021
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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

5 authors at 3 institutions in 1 country.

Jeanett EdelmannInstitute of Forensic Medicine, University of Leipzig, Leipzig, Germany. jeanett.edelmann@medizin.uni-leipzig.de
Stefanie Schumann
Marina Nastainczyk
Daniela Husser-Bollmann
Rüdiger Lessig
Leipzig University · DELeipzig Heart Institute · DEUniversity of Münster · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long QT syndrome (LQTS) is a cardiac disorder with an abnormality of cardiac rhythm associated with sudden death especially in younger, apparently healthy individuals. If there is no clear cause of death detectable during comprehensive coroner's inquest (autopsy-negative cases), you have to consider LQTS and other heritable arrhythmia syndromes. A molecular genetic screening regarding mutations in associated genes can help to ensure the cause of death and to protect affected family members. Genetic testing of LQTS, currently performed mainly by sequencing, is still very expensive and time consuming. With this study we present a rapid and reasonable method for the simultaneously screening of some of the most common mutations associated with LQTS, focused on the KCNQ1 and KCNH2 genes. With the method of SNaPshot minisequencing, a total of 58 mutations were analyzed in four multiplex assays which were successfully established and optimized. The comparison with samples previously analyzed by direct sequencing showed concordance. Furthermore, autopsy-negative cases were tested but no mutations could be observed in any of the specimen. The presented method is well suitable for LQTS mutation screening. An enhancement to further mutations and population-based investigations regarding mutation frequencies should be the aim of prospective studies.

Indexed as

AutopsyCause of DeathDNA Mutational AnalysisElectrophoresis, CapillaryERG1 Potassium ChannelEther-A-Go-Go Potassium ChannelsGenetic Carrier ScreeningGenetic Predisposition to DiseaseGenetic TestingHumansKCNQ1 Potassium ChannelLong QT SyndromeMultiplex Polymerase Chain ReactionMutation, MissensePolymorphism, Single NucleotideSensitivity and SpecificityERG1 Potassium ChannelEther-A-Go-Go Potassium ChannelsKCNH2 protein, humanKCNQ1 Potassium ChannelKCNQ1 protein, human

Identifiers

PMID21769575
OpenAlexW2035792360

What OpenQuestion holds

Textmetadata
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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.