Evidence map›Paper›PMID 23303164›Full record

ArticleCirculation research2013

An in vivo cardiac assay to determine the functional consequences of putative long QT syndrome mutations.

Chuanchau J Jou, Spencer M Barnett, Jian-Tao Bian, H Cindy Weng, Xiaoming Sheng, Martin Tristani-Firouzi

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Circulation research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
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  5. Review
  6. How Functional Genomics Can Keep Pace With VUS Identification.Frontiers in cardiovascular medicine · 2022
    Review
  7. Article
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  15. Investigating the utility of adult zebrafish ex vivo whole hearts to pharmacologically screen hERG channel activator compounds.American journal of physiology. Regulatory, integrative and comparative physiology · 2019
    Article
  16. Article
  17. Article
  18. Article
  19. New approaches to establish genetic causality.Trends in cardiovascular medicine · 2015
    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

6 authors at 1 institution in 1 country.

Chuanchau J JouDivision of Pediatric Cardiology, Nora Eccles Harrison Cardiovascular Research and Training Institute, University of Utah, 100 N. Mario Capecchi Drive, Salt Lake City, UT 84113, USA.
Spencer M Barnett
Jian-Tao Bian
H Cindy Weng
Xiaoming Sheng
Martin Tristani-Firouzi
University of Utah · US

Funding

Voltage Sensor Movement in the HERG Potassium ChannelR01HL075536 · NHLBI · UNIVERSITY OF UTAH · PI TRISTANI-FIROUZI, MARTIN · 2004 to 2008
$1.8M
NHLBI NIH HHS R01 HL075536
6 · The paper itself

Abstract

rationaleGenetic testing for Long QT Syndrome is now a standard and integral component of clinical cardiology. A major obstacle to the interpretation of genetic findings is the lack of robust functional assays to determine the pathogenicity of identified gene variants in a high-throughput manner.

objectiveThe goal of this study was to design and test a high-throughput in vivo cardiac assay to distinguish between disease-causing and benign KCNH2 (hERG1) variants, using the zebrafish as a model organism. METHODS AND

resultsWe tested the ability of previously characterized Long QT Syndrome hERG1 mutations and polymorphisms to restore normal repolarization in the kcnh2-knockdown embryonic zebrafish. The cardiac assay correctly identified a benign variant in 9 of 10 cases (negative predictive value 90%), whereas correctly identifying a disease-causing variant in 39/39 cases (positive predictive value 100%).

conclusionsThe in vivo zebrafish cardiac assay approaches the accuracy of the current benchmark in vitro assay for the detection of disease-causing mutations, and is far superior in terms of throughput rate. Together with emerging algorithms for interpreting a positive long QT syndrome genetic test, the zebrafish cardiac assay provides an additional tool for the final determination of pathogenicity of gene variants identified in long QT syndrome genetic screening.

Indexed as

AlgorithmsAnimalsDisease Models, AnimalEther-A-Go-Go Potassium ChannelsGene Knockdown TechniquesGenetic Predisposition to DiseaseGenetic TestingHeartHigh-Throughput Screening AssaysLong QT SyndromeMutationPolymorphism, GeneticPredictive Value of TestsZebrafishZebrafish ProteinsErg protein, zebrafishEther-A-Go-Go Potassium ChannelsZebrafish Proteins

Identifiers

PMID23303164
PMCPMC4479126
OpenAlexW2054935093

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.