Evidence map›Paper›PMID 40008532›Full record

ArticleJournal of the American Heart Association2025

Genome-Wide Association Study for Resting Electrocardiogram in the Qatari Population Identifies 6 Novel Genes and Validates Novel Polygenic Risk Scores.

Nahin Khan, Abdullah Shaar, Khalid Kunji, Atlas Khan, Mohamed Elshrif, Mohammed Bashir, Mohammed Thamer Ali, Ayman Al Haj Zen, Krzysztof Kiryluk, Georges Nemer and 2 more

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Genome-wide association study-identified novel genetic loci for QT interval in Taiwan: implications for population-specific arrhythmia risk.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 · 2026
    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

12 authors.

Nahin KhanQatar Computing Research Institute, Hamad Bin Khalifa University Doha Qatar.ORCID 0000-0002-0645-9993
Abdullah ShaarQatar Computing Research Institute, Hamad Bin Khalifa University Doha Qatar.ORCID 0009-0001-5270-4662
Khalid KunjiQatar Computing Research Institute, Hamad Bin Khalifa University Doha Qatar.ORCID 0000-0003-2946-512X
Atlas KhanDivision of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University New York NY USA.
Mohamed ElshrifQatar Computing Research Institute, Hamad Bin Khalifa University Doha Qatar.ORCID 0000-0003-0092-8258
Mohammed BashirHamad Medical Corporation Doha Qatar.
Mohammed Thamer AliHeart Hospital, Hamad Medical Corporation Doha Qatar.ORCID 0000-0002-8318-4858
Ayman Al Haj ZenCollege of Health and Life Sciences, Hamad Bin Khalifa University Doha Qatar.ORCID 0000-0002-2145-2925
Krzysztof KirylukDivision of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University New York NY USA.ORCID 0000-0002-5047-6715
Georges NemerCollege of Health and Life Sciences, Hamad Bin Khalifa University Doha Qatar.ORCID 0000-0003-2157-5279
Akl C FahedCardiovascular Research Center Massachusetts General Hospital, Harvard Medical School Boston MA USA.ORCID 0000-0002-4849-6389
Mohamad SaadQatar Computing Research Institute, Hamad Bin Khalifa University Doha Qatar.ORCID 0000-0001-6357-8502

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElectrocardiography is one of the most valuable noninvasive diagnostic tools in determining the presence of many cardiovascular diseases. Genetic factors are important in determining ECG abnormalities and their link to cardiovascular diseases. Genome-wide association studies and polygenic risk scores (PRSs) have been conducted for various ECG traits such as QT interval and QRS duration. However, these studies mainly focused on cohorts of European descent.

methodsIn this cohort study, genome-wide association studies for 6 ECG traits (RR, PR, corrected QT interval [QTc], QRS, JT, and

resultsSeventy-four independent loci were obtained with genome-wide significance across the 6 traits (

conclusionsIn this first genome-wide association study for ECG traits in the Middle East using whole-genome sequence data, 7 novel loci (6 genes) were identified. Published PRSs performed well, but newly developed Middle Eastern-specific PRSs performed the best. Novel variants in long QT syndrome genes were observed for the first time in Qatari individuals. Follow-up data did not show significant changes in ECG patterns.

Indexed as

Cardiovascular DiseasesElectrocardiographyGenome-Wide Association StudyLong QT SyndromeMultifactorial InheritanceAdultAgedFemaleGenetic Predisposition to DiseaseGenetic Risk ScoreHumansMaleMiddle AgedPhenotypePolymorphism, Single NucleotideQatarcardiovascular diseasesdiverse populationselectrocardiographygenome‐wide association studiesMiddle Eastpolygenic risk scoresQatar precision health institute

Identifiers

PMID40008532
PMCPMC12132764

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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.