Evidence map›Paper›PMID 32428210›Full record

ReviewCardiovascular research2020

Genome-wide association studies of cardiac electrical phenotypes.

Charlotte Glinge, Najim Lahrouchi, Reza Jabbari, Jacob Tfelt-Hansen, Connie R Bezzina

Abstract readReview
In one paragraph

Review in Cardiovascular research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Charlotte GlingeDepartment of Clinical and Experimental Cardiology, Amsterdam University Medical Center, University of Amsterdam, Heart Center, Amsterdam Cardiovascular Sciences, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands.
Najim LahrouchiDepartment of Clinical and Experimental Cardiology, Amsterdam University Medical Center, University of Amsterdam, Heart Center, Amsterdam Cardiovascular Sciences, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands.
Reza JabbariDepartment of Cardiology, The Heart Centre, Copenhagen University Hospital, Rigshospitalet, Inge Lehmanns Vej 7, 2100 Copenhagen, Denmark.
Jacob Tfelt-HansenDepartment of Cardiology, The Heart Centre, Copenhagen University Hospital, Rigshospitalet, Inge Lehmanns Vej 7, 2100 Copenhagen, Denmark.
Connie R BezzinaDepartment of Clinical and Experimental Cardiology, Amsterdam University Medical Center, University of Amsterdam, Heart Center, Amsterdam Cardiovascular Sciences, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genetic basis of cardiac electrical phenotypes has in the last 25 years been the subject of intense investigation. While in the first years, such efforts were dominated by the study of familial arrhythmia syndromes, in recent years, large consortia of investigators have successfully pursued genome-wide association studies (GWAS) for the identification of single-nucleotide polymorphisms that govern inter-individual variability in electrocardiographic parameters in the general population. We here provide a review of GWAS conducted on cardiac electrical phenotypes in the last 14 years and discuss the implications of these discoveries for our understanding of the genetic basis of disease susceptibility and variability in disease severity. Furthermore, we review functional follow-up studies that have been conducted on GWAS loci associated with cardiac electrical phenotypes and highlight the challenges and opportunities offered by such studies.

Indexed as

Polymorphism, Single NucleotideAction PotentialsAge FactorsAnimalsAnti-Arrhythmia AgentsArrhythmias, CardiacElectrocardiographyGenetic Predisposition to DiseaseGenome-Wide Association StudyHeart RateHeredityHumansPharmacogenomic VariantsPhenotypePrognosisRisk AssessmentAnti-Arrhythmia AgentsArrhythmias

Identifiers

PMID32428210
PMCPMC7341169

What OpenQuestion holds

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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.