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Brugada Syndrome

Rare and Inherited Diseases · NLM MeSH · updated 2026-10-29 · version 1

Citations verified against PubMedNot yet clinician-reviewed10 referencesApproximately 5 min read

An autosomal dominant defect of cardiac conduction that is characterized by an abnormal ST-segment in leads v1-v3 on the electrocardiogram resembling a right bundle-branch block; high risk of ventricular tachycardia; or ventricula

Table of Contents

1. Definition2. Research landscape3. Reading the evidence4. Open-access studies5. Key reviews6. References7. About this article

Definition and research guide

This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.

Content available: 4 complete abstracts (993 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.

Definition

An autosomal dominant defect of cardiac conduction that is characterized by an abnormal ST-segment in leads v1-v3 on the electrocardiogram resembling a right bundle-branch block; high risk of ventricular tachycardia; or ventricular fibrillation; syncopal episode; and possible sudden death. This syndrome is linked to mutations of gene encoding the cardiac sodium channel alpha subunit.

Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.

Also known as: Right Bundle Branch Block, ST Segment Elevation, and Sudden Death Syndrome; Sudden Unexplained Nocturnal Death Syndrome (SUNDS); Sudden Unexplained Nocturnal Death Syndrome; Sudden Unexplained Death Syndrome; Brugada ECG Pattern; ECG Pattern, Brugada; Brugada Type ECG Pattern; Brugada Syndrome 1.

Where it fits in the MeSH classification

Broader topics
Arrhythmias, Cardiac; Cardiac Conduction System Disease; Genetic Diseases, Inborn

Related concepts

  • V1-V3
  • Electrocardiogram
  • Bundle-Branch Block
  • Ventricular Tachycardia
  • Ventricular Fibrillation
  • Syncopal Episode
  • Sodium Channel

Research landscape

PubMed indexes 4,133 records tagged with the MeSH heading “Brugada Syndrome” (counts retrieved 2026-10-29). 771 of them (18.7%) were published from 2020 onward, and the busiest period so far is 2010-2019 with 1,949 records.

Reviews account for 518 records (12.5%) and meta-analyses for 37. Randomized controlled trials number 16 (0.4%) as a share of all records on the topic. Randomized trials make up only a small share of this literature, so much of what is known comes from laboratory, observational or descriptive work.

PubMed records by publication periodthrough 1999: 910 records; 2000-2009: 503 records; 2010-2019: 1,949 records; 2020 onward: 771 records910through 19995032000-20091,9492010-20197712020 onward
Records in PubMed indexed with this heading, by publication period. Real counts from NCBI E-utilities; the final period covers only part of the current year. Volume reflects how much has been published, not how strong the evidence is.
Show the data
PeriodRecords
through 1999910
2000-2009503
2010-20191,949
2020 onward771
Share of records by publication typeReviews: 12.5 percent; Meta-analyses: 0.9 percent; Randomized controlled trials: 0.4 percentReviews12.5% (518)Meta-analyses0.9% (37)Randomized controlled trials0.4% (16)
Share of all PubMed records on this heading that carry each publication type. Types overlap with other records, so the shares do not sum to 100%.
Publication-type chart data
Publication types among 4,133 PubMed records
TypeRecordsShare
Reviews51812.5%
Meta-analyses370.9%
Randomized controlled trials160.4%

Method: PubMed query "Brugada Syndrome"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-29.

Reading the evidence in rare and inherited diseases

Rare conditions are difficult to study: few patients means small studies, case reports and registries are common, and randomized trials are the exception. Small samples limit precision and can exaggerate effects, and cases reported in the literature may be the most severe or unusual. Evidence from many small studies is best read together. Check how patients were identified, how many were included and how long they were followed.

Evidence from open-access studies

These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.

Study comparison — selected abstracts, not a systematic review
Study / authorsYearSource label / designEurope PMC citationsLicence / source
Brugada syndrome genetics is associated with phenotype severity
Ciconte G, Monasky MM, Santinelli V, Micaglio E, Vicedomini G, Anastasia L, et al.
2021Research article
Design not recorded in structured metadata
84cc by
PMID 33221895 · DOI · PMC7955973
SCN5A Mutation Type and a Genetic Risk Score Associate Variably With Brugada Syndrome Phenotype in SCN5A Families
Wijeyeratne YD, Tanck MW, Mizusawa Y, Batchvarov V, Barc J, Crotti L, et al.
2020Research article
Design not recorded in structured metadata
58cc by
PMID 33164571 · DOI · PMC7748043
Subepicardial Cardiomyopathy: A Disease Underlying J-Wave Syndromes and Idiopathic Ventricular Fibrillation
Miles C, Boukens BJ, Scrocco C, Wilde AAM, Nademanee K, Haissaguerre M, et al.
2023Research article
Design not recorded in structured metadata
51cc by
PMID 37216437 · DOI · PMC11073566
Automated patch clamp data improve variant classification and penetrance stratification for SCN5A-Brugada syndrome
O'Neill MJ, Ma JG, Aldridge JL, Solus JF, Harvey GR, Roberson PH, et al.
2026Research article
Design not recorded in structured metadata
10cc by
PMID 41251004 · DOI · PMC12678899

Brugada syndrome genetics is associated with phenotype severity [1]

Research article Ciconte G, Monasky MM, Santinelli V, Micaglio E, Vicedomini G, Anastasia L, et al. · · 2021 · cited 84 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
AimsBrugada syndrome (BrS) is associated with an increased risk of sudden cardiac death due to ventricular tachycardia/fibrillation (VT/VF) in young, otherwise healthy individuals.
Closing excerpt
These results contribute to the understanding of the genetic determinants of the BrS phenotypic expression and provide possible explanations for the varying degrees of disease expression.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (235 words)

AimsBrugada syndrome (BrS) is associated with an increased risk of sudden cardiac death due to ventricular tachycardia/fibrillation (VT/VF) in young, otherwise healthy individuals. Despite SCN5A being the most commonly known mutated gene to date, the genotype-phenotype relationship is poorly understood and remains uncertain. This study aimed to elucidate the genotype-phenotype correlation in BrS.Methods and resultsBrugada syndrome probands deemed at high risk of future arrhythmic events underwent genetic testing and phenotype characterization by the means of epicardial arrhythmogenic substrate (AS) mapping, and were divided into two groups according to the presence or absence of SCN5A mutation. Two-hundred probands (160 males, 80%; mean age 42.6 ± 12.2 years) were included in this study. Patients harbouring SCN5A mutations exhibited a spontaneous type 1 pattern and experienced aborted cardiac arrest or spontaneous VT/VF more frequently than the other subjects. SCN5A-positive patients exhibited a larger epicardial AS area, more prolonged electrograms and more frequently observed non-invasive late potentials. The presence of an SCN5A mutation explained >26% of the variation in the epicardial AS area and was the strongest predictor of a large epicardial area.ConclusionIn BrS, the genetic background is the main determinant for the extent of the electrophysiological abnormalities. SCN5A mutation carriers exhibit more pronounced epicardial electrical abnormalities and a more aggressive clinical presentation. These results contribute to the understanding of the genetic determinants of the BrS phenotypic expression and provide possible explanations for the varying degrees of disease expression.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 33221895 · DOI · PMC7955973

SCN5A Mutation Type and a Genetic Risk Score Associate Variably With Brugada Syndrome Phenotype in SCN5A Families [2]

Research article Wijeyeratne YD, Tanck MW, Mizusawa Y, Batchvarov V, Barc J, Crotti L, et al. · · 2020 · cited 58 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
BackgroundBrugada syndrome (BrS) is characterized by the type 1 Brugada ECG pattern.
Closing excerpt
SCN5A mutation genotype and a BrS-GRS associate with BrS phenotype, but the strength of association varies according to presence of a SCN5A mutation and severity of loss of function.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (248 words)

BackgroundBrugada syndrome (BrS) is characterized by the type 1 Brugada ECG pattern. Pathogenic rare variants in SCN5A (mutations) are identified in 20% of BrS families in whom incomplete penetrance and genotype-negative phenotype-positive individuals are observed. E1784K-SCN5A is the most common SCN5A mutation identified. We determined the association of a BrS genetic risk score (BrS-GRS) and SCN5A mutation type on BrS phenotype in BrS families with SCN5A mutations.MethodsSubjects with a spontaneous type 1 pattern or positive/negative drug challenge from cohorts harboring SCN5A mutations were recruited from 16 centers (n=312). Single nucleotide polymorphisms previously associated with BrS at genome-wide significance were studied in both cohorts: rs11708996, rs10428132, and rs9388451. An additive linear genetic model for the BrS-GRS was assumed (6 single nucleotide polymorphism risk alleles).ResultsIn the total population (n=312), BrS-GRS ≥4 risk alleles yielded an odds ratio of 4.15 for BrS phenotype ([95% CI, 1.45-11.85]; P=0.0078). Among SCN5A-positive individuals (n=258), BrS-GRS ≥4 risk alleles yielded an odds ratio of 2.35 ([95% CI, 0.89-6.22]; P=0.0846). In SCN5A-negative relatives (n=54), BrS-GRS ≥4 alleles yielded an odds ratio of 22.29 ([95% CI, 1.84-269.30]; P=0.0146). Among E1784K-SCN5A positive family members (n=79), hosting ≥4 risk alleles gave an odds ratio=5.12 ([95% CI, 1.93-13.62]; P=0.0011).ConclusionsCommon genetic variation is associated with variable expressivity of BrS phenotype in SCN5A families, explaining in part incomplete penetrance and genotype-negative phenotype-positive individuals. SCN5A mutation genotype and a BrS-GRS associate with BrS phenotype, but the strength of association varies according to presence of a SCN5A mutation and severity of loss of function.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 33164571 · DOI · PMC7748043

Subepicardial Cardiomyopathy: A Disease Underlying J-Wave Syndromes and Idiopathic Ventricular Fibrillation [3]

Research article Miles C, Boukens BJ, Scrocco C, Wilde AAM, Nademanee K, Haissaguerre M, et al. · · 2023 · cited 51 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Brugada syndrome (BrS), early repolarization syndrome (ERS), and idiopathic ventricular fibrillation (iVF) have long been considered primary electrical disorders associated with malignant ventricular arrhythmia and sudden cardiac death.
Closing excerpt
We propose that impaired sodium current, along with genetic and environmental susceptibility, precipitates a reduction in epicardial conduction reserve, facilitating current-to-load mismatch at sites of structural discontinuity, giving rise to electrocardiographic changes and the arrhythmogenic substrate.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (193 words)

Brugada syndrome (BrS), early repolarization syndrome (ERS), and idiopathic ventricular fibrillation (iVF) have long been considered primary electrical disorders associated with malignant ventricular arrhythmia and sudden cardiac death. However, recent studies have revealed the presence of subtle microstructural abnormalities of the extracellular matrix in some cases of BrS, ERS, and iVF, particularly within right ventricular subepicardial myocardium. Substrate-based ablation within this region has been shown to ameliorate the electrocardiographic phenotype and to reduce arrhythmia frequency in BrS. Patients with ERS and iVF may also exhibit low-voltage and fractionated electrograms in the ventricular subepicardial myocardium, which can be treated with ablation. A significant proportion of patients with BrS and ERS, as well as some iVF survivors, harbor pathogenic variants in the voltage-gated sodium channel gene, SCN5A, but the majority of genetic susceptibility of these disorders is likely to be polygenic. Here, we postulate that BrS, ERS, and iVF may form part of a spectrum of subtle subepicardial cardiomyopathy. We propose that impaired sodium current, along with genetic and environmental susceptibility, precipitates a reduction in epicardial conduction reserve, facilitating current-to-load mismatch at sites of structural discontinuity, giving rise to electrocardiographic changes and the arrhythmogenic substrate.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 37216437 · DOI · PMC11073566

Automated patch clamp data improve variant classification and penetrance stratification for SCN5A-Brugada syndrome [4]

Research article O'Neill MJ, Ma JG, Aldridge JL, Solus JF, Harvey GR, Roberson PH, et al. · · 2026 · cited 10 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Background and aimsBrugada Syndrome (BrS) is an inherited arrhythmia disorder that causes an elevated risk of sudden cardiac death.
Closing excerpt
The dataset helps clarify the SCN5A-BrS relationship and will improve the diagnosis and clinical management of BrS probands and their families.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (317 words)

Background and aimsBrugada Syndrome (BrS) is an inherited arrhythmia disorder that causes an elevated risk of sudden cardiac death. Approximately 20% of patients with BrS have rare variants in SCN5A, which encodes the cardiac sodium channel NaV1.5. Genetic workup of BrS is often complicated by SCN5A variants of uncertain significance (VUS) and/or incomplete penetrance. This study deployed an SCN5A-BrS functional assay at cohort scale to facilitate the implementation of genetic and precision medicine.MethodsAll 252 missense and in-frame insertion/deletion SCN5A variants from a previously published large cohort of BrS cases (n = 3335 patients) were analysed using a calibrated high-throughput automated patch-clamp (APC) assay. Variant functional Z-scores were assigned evidence levels ranging from BS3_moderate (normal function) to PS3_strong (loss-of-function), as defined by American College of Medical Genetics and Genomics criteria. Functional evidence was combined with population frequency, hotspot, case counts, protein-length changes, and in silico predictions. Odds ratios of BrS case-control enrichment and penetrance for BrS were calculated from variant frequencies in the BrS cohort and in gnomAD.ResultsMost variants (146/252) were functionally abnormal (Z ≤ -2), with 100 having severe loss-of-function (Z ≤ -4). Functional evidence enabled the reclassification of 110 of 225 VUS; 104 to likely pathogenic and 6 to likely benign. SCN5A variants with loss-of-function were mainly localized to the transmembrane domains, especially the regions comprising the central pore. SCN5A variant penetrance was proportional to the severity of loss-of-function; variants with Z ≤ -6 had penetrance of 24.5% (15.9%-37.7% CI) and an odds ratio of 501 for BrS.ConclusionsThis cohort-scale APC dataset stratifies SCN5A variants found in BrS patients into normal function 'bystander' variants that have a low risk of BrS and loss-of-function variants that have a high risk for BrS. Functional data can be integrated with other criteria to reclassify a substantial fraction of VUS. The dataset helps clarify the SCN5A-BrS relationship and will improve the diagnosis and clinical management of BrS probands and their families.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41251004 · DOI · PMC12678899

Key reviews and meta-analyses

The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.

  • Research article Present Status of Brugada Syndrome: JACC State-of-the-Art Review [5]
    Brugada J, Campuzano O, Arbelo E, Sarquella-Brugada G, Brugada R · J Am Coll Cardiol · 2018 · cited 283 times (Europe PMC)
  • Research article Clinical Spectrum of SCN5A Mutations: Long QT Syndrome, Brugada Syndrome, and Cardiomyopathy [6]
    Wilde AAM, Amin AS · JACC Clin Electrophysiol · 2018 · cited 283 times (Europe PMC)
  • Research article Drugs and Brugada syndrome patients: review of the literature, recommendations, and an up-to-date website (www.brugadadrugs.org) [7]
    Postema PG, Wolpert C, Amin AS, Probst V, Borggrefe M, Roden DM, et al. · Heart Rhythm · 2009 · cited 269 times (Europe PMC)
  • Research article Brugada syndrome [8]
    Antzelevitch C, Antzelevitch C · Pacing Clin Electrophysiol · 2006 · cited 228 times (Europe PMC)
  • Research article Brugada syndrome [9]
    Mizusawa Y, Wilde AA · Circ Arrhythm Electrophysiol · 2012 · cited 216 times (Europe PMC)
  • Research article Risk stratification of individuals with the Brugada electrocardiogram: a meta-analysis [10]
    Gehi AK, Duong TD, Metz LD, Gomes JA, Mehta D · J Cardiovasc Electrophysiol · 2006 · cited 208 times (Europe PMC)

References

  1. Ciconte G, Monasky MM, Santinelli V, Micaglio E, Vicedomini G, Anastasia L, et al.. Brugada syndrome genetics is associated with phenotype severity. . 2021. PMID 33221895 · DOI · PMC7955973
  2. Wijeyeratne YD, Tanck MW, Mizusawa Y, Batchvarov V, Barc J, Crotti L, et al.. SCN5A Mutation Type and a Genetic Risk Score Associate Variably With Brugada Syndrome Phenotype in SCN5A Families. . 2020. PMID 33164571 · DOI · PMC7748043
  3. Miles C, Boukens BJ, Scrocco C, Wilde AAM, Nademanee K, Haissaguerre M, et al.. Subepicardial Cardiomyopathy: A Disease Underlying J-Wave Syndromes and Idiopathic Ventricular Fibrillation. . 2023. PMID 37216437 · DOI · PMC11073566
  4. O'Neill MJ, Ma JG, Aldridge JL, Solus JF, Harvey GR, Roberson PH, et al.. Automated patch clamp data improve variant classification and penetrance stratification for SCN5A-Brugada syndrome. . 2026. PMID 41251004 · DOI · PMC12678899
  5. Brugada J, Campuzano O, Arbelo E, Sarquella-Brugada G, Brugada R. Present Status of Brugada Syndrome: JACC State-of-the-Art Review. J Am Coll Cardiol. 2018. PMID 30139433 · DOI
  6. Wilde AAM, Amin AS. Clinical Spectrum of SCN5A Mutations: Long QT Syndrome, Brugada Syndrome, and Cardiomyopathy. JACC Clin Electrophysiol. 2018. PMID 29798782 · DOI
  7. Postema PG, Wolpert C, Amin AS, Probst V, Borggrefe M, Roden DM, et al.. Drugs and Brugada syndrome patients: review of the literature, recommendations, and an up-to-date website (www.brugadadrugs.org). Heart Rhythm. 2009. PMID 19716089 · DOI · PMC2779019
  8. Antzelevitch C, Antzelevitch C. Brugada syndrome. Pacing Clin Electrophysiol. 2006. PMID 17038146 · DOI · PMC1978482
  9. Mizusawa Y, Wilde AA. Brugada syndrome. Circ Arrhythm Electrophysiol. 2012. PMID 22715240 · DOI
  10. Gehi AK, Duong TD, Metz LD, Gomes JA, Mehta D. Risk stratification of individuals with the Brugada electrocardiogram: a meta-analysis. J Cardiovasc Electrophysiol. 2006. PMID 16836701 · DOI

About this article

Sources
NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
Verification
Every reference was resolved against PubMed on 2026-10-31; title, year and DOI matched.
Review state
automated source verified; no human expert review has been recorded yet.
Version
1, last updated 2026-10-29.

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At a glance

4,133
PubMed records on this heading
19%
published since 2020
518
review articles
16
randomized trials
10
verified references below

Counts come from PubMed on 2026-10-29; they show how much has been written, not how strong the evidence is.

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