Evidence map›Paper›PMID 19198868›Full record

ArticleInternational journal of legal medicine2009

Identification of an ethnic-specific variant (V207M) of the KCNQ1 cardiac potassium channel gene in sudden unexplained death and implications from a knock-in mouse model.

Hajime Nishio, Masayoshi Kuwahara, Hirokazu Tsubone, Yoshiro Koda, Takako Sato, Shinya Fukunishi, Akiyoshi Tamura, Koichi Suzuki

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in International journal of legal medicine, 2009. 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
0.9field-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

6 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Molecular autopsy for sudden death in Japan.Journal of toxicologic pathology · 2024
    Review
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  4. Article
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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

8 authors at 3 institutions in 1 country.

Hajime NishioDepartment of Legal Medicine, Osaka Medical College, Takatsuki, Osaka, Japan. leg010@art.osaka-med.ac.jp
Masayoshi Kuwahara
Hirokazu Tsubone
Yoshiro Koda
Takako Sato
Shinya Fukunishi
Akiyoshi Tamura
Koichi Suzuki
Osaka Medical and Pharmaceutical University · JPThe University of Tokyo · JPKurume University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We performed mutation analysis for genes implicated in long QT syndrome (KCNQ1, KCNH2, and SCN5A) in 17 sudden unexplained death autopsy cases. Single-strand conformation polymorphism and subsequent DNA sequencing analyses revealed that in one case, there was a variant, V207M of KCNQ1, a gene encoding a cardiac potassium channel. This case, a 40-year-old African male, was shown to have a heterozygous missense mutation (V207M), which has been previously reported to be ethnic-specific. The heterozygous V207M mutation was found in one case (0.23%) of 444 alleles from African individuals. We developed a knock-in mouse model carrier of the Kcnq1-V206M mutation, the mouse equivalent to the KCNQ1-V207M mutation identified in the victim. Significant prolongation of QT intervals was observed in the Kcnq1(V206M/V206M) mice. These findings suggest that the KCNQ1-V207M mutation might be pathogenic and might have been associated with the cause of death in the present case.

Indexed as

AllelesDNA Mutational AnalysisGene Knock-In TechniquesGenetics, PopulationAdolescentAdultAnimalsAsian PeopleBlack PeopleChildDeath, Sudden, CardiacElectrocardiographyExonsFemaleGenetic Carrier ScreeningGenetic VariationKCNQ1 Potassium ChannelKCNQ1 protein, human

Identifiers

PMID19198868
OpenAlexW1967137903

What OpenQuestion holds

Textmetadata
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.