Evidence map›Paper›PMID 35806392›Full record

ReviewInternational journal of molecular sciences2022

Mutation-Specific Differences in Kv7.1 (

Peter M Kekenes-Huskey, Don E Burgess, Bin Sun, Daniel C Bartos, Ezekiel R Rozmus, Corey L Anderson, Craig T January, Lee L Eckhardt, Brian P Delisle

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

15 citing papers in PubMed, 20 citations in OpenAlex.

  1. HeartRhythm case reports · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Predicting the Damaging Potential of UncharacterizedInternational journal of molecular sciences · 2025
    Article
  6. Postpartum QT Prolongation in a Long QT Syndrome Type 1 Patient.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2025
    Article
  7. 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
  8. Article
  9. Attitudes toward returning pathogenicGenetics in medicine open · 2025
    Article
  10. Review
  11. Article
  12. Article
  13. Discovery ofBiology · 2023
    Article
  14. Article
  15. 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

9 authors at 5 institutions in 2 countries.

Peter M Kekenes-HuskeyDepartment of Cell and Molecular Physiology, Stritch School of Medicine, Loyola University Chicago, Maywood, IL 60153, USA.
Don E BurgessDepartment of Physiology, College of Medicine, University of Kentucky, Lexington, KY 40536, USA.
Bin SunDepartment of Pharmacology, Harbin Medical University, Harbin 150081, China.
Daniel C BartosAgios Pharmaceuticals, Cambridge, MA 02139, USA.ORCID 0000-0001-8273-8057
Ezekiel R RozmusDepartment of Physiology, College of Medicine, University of Kentucky, Lexington, KY 40536, USA.
Corey L AndersonCellular and Molecular Arrythmias Program, Division of Cardiovascular Medicine, Department of Medicine, University of Wisconsin-Madison, Madison, WI 53705, USA.ORCID 0000-0002-6898-8479
Craig T JanuaryCellular and Molecular Arrythmias Program, Division of Cardiovascular Medicine, Department of Medicine, University of Wisconsin-Madison, Madison, WI 53705, USA.
Lee L EckhardtCellular and Molecular Arrythmias Program, Division of Cardiovascular Medicine, Department of Medicine, University of Wisconsin-Madison, Madison, WI 53705, USA.
Brian P DelisleDepartment of Physiology, College of Medicine, University of Kentucky, Lexington, KY 40536, USA.ORCID 0000-0002-2146-327X
University of Kentucky · USUniversity of Wisconsin–Madison · USAgios Pharmaceuticals (United States) · USHarbin Medical University · CNLoyola University Chicago · US

Funding

Deep Mutational Scanning and Functional Analysis of Repolarization DeterminantsR01HL163987 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI ECKHARDT, LEE LOCHBAUM · 2022 to 2025
$1.6M
KCNJ2-Induced Arrhythmia Mechanisms in CPVT and Heart Failure.R01HL139738 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI ECKHARDT, LEE LOCHBAUM · 2018 to 2021
$1.5M
NHLBI NIH HHS R01 HL139738NHLBI NIH HHS R01 HL139738-01NHLBI NIH HHS R01HL141342-01NHLBI NIH HHS R01 HL163987
6 · The paper itself

Abstract

The electrocardiogram (ECG) empowered clinician scientists to measure the electrical activity of the heart noninvasively to identify arrhythmias and heart disease. Shortly after the standardization of the 12-lead ECG for the diagnosis of heart disease, several families with autosomal recessive (Jervell and Lange-Nielsen Syndrome) and dominant (Romano-Ward Syndrome) forms of long QT syndrome (LQTS) were identified. An abnormally long heart rate-corrected QT-interval was established as a biomarker for the risk of sudden cardiac death. Since then, the International LQTS Registry was established; a phenotypic scoring system to identify LQTS patients was developed; the major genes that associate with typical forms of LQTS were identified; and guidelines for the successful management of patients advanced. In this review, we discuss the molecular and cellular mechanisms for LQTS associated with missense variants in

Indexed as

KCNQ1 Potassium ChannelRomano-Ward SyndromeElectrocardiographyERG1 Potassium ChannelHumansMutationPhenotypeERG1 Potassium ChannelKCNH2 protein, humanKCNQ1 Potassium ChannelKCNQ1 protein, humanarrhythmiaelectrocardiogramheartK+ channelKCNH2KCNQ1long QT syndromemolecular dynamics

Identifiers

PMID35806392
PMCPMC9266926
OpenAlexW4283793400

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.