Evidence map›Paper›PMID 42291549›Full record

ReviewFrontiers in cardiovascular medicine2026

Genetics of supraventricular tachycardia: current evidence with a focus on translational relevance and personalized medicine.

Amin Esmailian, Mohammad Alasti

Abstract readReview
In one paragraph

Review in Frontiers in cardiovascular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Amin EsmailianDepartment of Medicine, Peninsula University Hospital, Frankston, Victoria, Australia.
Mohammad AlastiDepartment of Cardiology, Victorian Heart Hospital, Clayton, Melbourne, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Supraventricular tachycardias (SVTs) are among the most common arrhythmias encountered in clinical practice and, despite generally low mortality, impose substantial morbidity and healthcare utilization. Clinical heterogeneity in age of onset, recurrence, symptom burden, and overlap with conduction disease or cardiomyopathy suggests underlying biological determinants, including inherited susceptibility. Over the past decade, advances in human genomics have expanded evidence from familial aggregation and rare syndromic disorders to population-scale genome-wide association studies (GWAS), but routine translation into SVT care remains limited. Methods: Narrative review of guideline-based SVT definitions and mechanistic frameworks, familial and rare-variant studies, GWAS/meta-analyses across SVT subtypes (AVNRT, accessory pathway-mediated AVRT/WPW, and focal atrial tachycardia), and translational literature on biomarkers (including microRNA/exosomal biology), functional validation models, and implementation considerations (yield, cost-effectiveness, ethics, and governance). Results: SVT demonstrates subtype-specific genetic architecture. AVNRT is supported by familial clustering and polygenic/oligogenic susceptibility, with GWAS signals implicating developmental and myocardial structural pathways (e.g., NKX2-5, TTN, MYH6). Accessory pathway-mediated AVRT/WPW shows the clearest genotype-to-substrate relationship, with common and rare variation implicating conduction and junctional developmental biology (including SCN5A/SCN10A- and CCDC141-linked signals, and emerging family-based discoveries such as MRC2). In contrast, the genetic basis of focal atrial tachycardia remains underpowered and mechanistically heterogeneous. The highest current clinical utility of genetics lies in identifying syndromic and cardiomyopathy-associated SVT (e.g., PRKAG2, LAMP2), where diagnosis alters prognosis, surveillance, and cascade screening. Conclusion: Genetic discoveries are reshaping SVT from a purely "functional" arrhythmia toward a spectrum of inherited electrophysiologic and myocardial disease. While routine genetic testing is not indicated for most isolated SVT, phenotype-guided evaluation, improved functional models, and implementation frameworks may enable targeted, patient-centred personalization particularly in early-onset, familial, or cardiomyopathy-overlap presentations.

Indexed as

AVNRTAVRTcardiogeneticsgeneticsinherited arrhythmiapersonalized-medicinesupraventricular tachycardia

Identifiers

PMID42291549
PMCPMC13259804

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