Evidence map›Paper›PMID 30571187›Full record

ArticleCirculation. Genomic and precision medicine2018

High-Throughput Functional Evaluation of KCNQ1 Decrypts Variants of Unknown Significance.

Carlos G Vanoye, Reshma R Desai, Katarina L Fabre, Shannon L Gallagher, Franck Potet, Jean-Marc DeKeyser, Daniela Macaya, Jens Meiler, Charles R Sanders, Alfred L George

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Circulation. Genomic and precision medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
9.2field-weighted citation impact, top 1% 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

65 citing papers in PubMed, 105 citations in OpenAlex.

  1. HeartRhythm case reports · 2026
    Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Mapping the Functional Landscape ofmedRxiv : the preprint server for health sciences · 2025
    Article
  7. Functional Profiling ofCirculation. Genomic and precision medicine · 2025
    Article
  8. Article
  9. Article
  10. Predicting the Damaging Potential of UncharacterizedInternational journal of molecular sciences · 2025
    Article
  11. Article
  12. Integrative analysis of KCNQ1 variants reveals molecular mechanisms of type 1 long QT syndrome pathogenesis.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  13. Article
  14. Multisite Validation of a Functional Assay to AdjudicateCirculation. Genomic and precision medicine · 2024
    Article
  15. Article
  16. Article
  17. Multi-site validation of a functional assay to adjudicatemedRxiv : the preprint server for health sciences · 2023
    Article
  18. Effects of cohort, genotype, variant, and maternal β-blocker treatment on foetal heart rate predictors of inherited long QT syndrome.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023
    Article
  19. Article
  20. Article

5 more citing papers are in PubMed but not listed here.

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

10 authors at 1 institution in 1 country.

Carlos G VanoyeDepartment of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL (C.G.V., R.R.D., K.L.F., S.L.G., F.P., J.-M.D., A.L.G.).
Reshma R DesaiDepartment of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL (C.G.V., R.R.D., K.L.F., S.L.G., F.P., J.-M.D., A.L.G.).
Katarina L FabreDepartment of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL (C.G.V., R.R.D., K.L.F., S.L.G., F.P., J.-M.D., A.L.G.).
Shannon L GallagherDepartment of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL (C.G.V., R.R.D., K.L.F., S.L.G., F.P., J.-M.D., A.L.G.).
Franck PotetDepartment of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL (C.G.V., R.R.D., K.L.F., S.L.G., F.P., J.-M.D., A.L.G.).
Jean-Marc DeKeyserDepartment of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL (C.G.V., R.R.D., K.L.F., S.L.G., F.P., J.-M.D., A.L.G.).
Daniela MacayaGeneDx, Inc, Gaithersburg, MD (D.M.).
Jens MeilerDepartment of Chemistry, Vanderbilt University School of Medicine, Nashville, TN (J.M.).
Charles R SandersDepartment of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN (C.R.S.).
Alfred L GeorgeDepartment of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL (C.G.V., R.R.D., K.L.F., S.L.G., F.P., J.-M.D., A.L.G.).
Vanderbilt University · US

Funding

Decrypting Variants of Uncertain Significance in Long-QT SyndromeR01HL122010 · NHLBI · VANDERBILT UNIVERSITY · PI GEORGE, ALFRED L., SANDERS, CHARLES R · 2014 to 2025
$15.5M
GPU-Accelerated Parallel Computer for Drug Discovery ApplicationsS10OD020154 · OD · VANDERBILT UNIVERSITY · PI SMITH, JARROD ANSON · 2015 to 2015
$225k
NHLBI NIH HHS R01 HL122010
6 · The paper itself

Abstract

backgroundThe explosive growth in known human gene variation presents enormous challenges to current approaches for variant classification that have implications for diagnosis and treatment of many genetic diseases. For disorders caused by mutations in cardiac ion channels as in congenital arrhythmia syndromes, in vitro electrophysiological evidence has high value in discriminating pathogenic from benign variants, but these data are often lacking because assays are cost, time, and labor intensive.

methodsWe implemented a strategy for performing high-throughput functional evaluations of ion channel variants that repurposed an automated electrophysiological recording platform developed previously for drug discovery.

resultsWe demonstrated the success of this approach by evaluating 78 variants in KCNQ1, a major gene involved in genetic disorders of cardiac arrhythmia susceptibility. We benchmarked our results with traditional electrophysiological approaches and observed a high level of concordance. This strategy also enabled studies of dominant-negative behavior of variants exhibiting severe loss-of-function. Overall, our results provided functional data useful for reclassifying >65% of the studied KCNQ1 variants.

conclusionsOur results illustrate an efficient and high-throughput paradigm linking genotype to function for a human cardiac ion channel that will enable data-driven classification of large numbers of variants and create new opportunities for precision medicine.

Indexed as

Arrhythmias, CardiacGenetic Predisposition to DiseaseGenotypeKCNQ1 Potassium ChannelMutationHumansKCNQ1 Potassium ChannelKCNQ1 protein, humanelectrophysiologyion channelslong QT syndromemutationpotassium channels

Identifiers

PMID30571187
PMCPMC6309341
OpenAlexW2951265935

What OpenQuestion holds

Textmetadata
LicenceTDM
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.