Evidence map›Paper›PMID 34219138›Full record

ArticleEuropean heart journal2021

Functionally validated SCN5A variants allow interpretation of pathogenicity and prediction of lethal events in Brugada syndrome.

Taisuke Ishikawa, Hiroki Kimoto, Hiroyuki Mishima, Kenichiro Yamagata, Soshiro Ogata, Yoshiyasu Aizawa, Kenshi Hayashi, Hiroshi Morita, Tadashi Nakajima, Yukiko Nakano and 19 more

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Article in European heart journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
8.6field-weighted citation impact, top 1% 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

37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 75 citations in OpenAlex.

  1. Multiparametric models for predicting major arrhythmic events in Brugada syndrome: a systematic review and critical appraisal.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 · 2025
    Pooled it
  2. The SCN5A Gene Is a Predictor of Phenotype Severity in Brugada Syndrome: A Comprehensive Literature Review.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2023
    Pooled it
  3. Article
  4. Brugada Syndrome: an exemplar for the genomic basis of sudden death.European journal of human genetics : EJHG · 2026
    Review
  5. Phenotypic Severity ofCirculation. Arrhythmia and electrophysiology · 2026
    Article
  6. Article
  7. Characterization of the R893C NaFrontiers in cardiovascular medicine · 2026
    Article
  8. Predictive value of Shanghai score system in patients with drug-induced type 1 Brugada electrocardiographic pattern.Clinical research in cardiology : official journal of the German Cardiac Society · 2025
    Article
  9. Article
  10. Clinical Features of Brugada Syndrome Patients With SCN5A Variants.Journal of cardiovascular electrophysiology · 2025
    Article
  11. Review
  12. SCN5A variant type-dependent risk prediction in Brugada syndrome.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 · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Multiplexed Assays of Variant Effect and Automated Patch-clamping ImprovemedRxiv : the preprint server for health sciences · 2024
    Article
  17. Rare GPR37L1 Variants Reveal Potential Association between GPR37L1 and Disorders of Anxiety and Migraine.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

29 authors at 15 institutions in 2 countries.

Taisuke IshikawaOmics Research Center, National Cerebral and Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita 5648565, Japan.ORCID 0000-0001-8195-4700
Hiroki KimotoDepartment of Molecular Physiology, Nagasaki University Graduate School of Biomedical Sciences, 1-12-4 Sakamoto, Nagasaki 8528523, Japan.
Hiroyuki MishimaDepartment of Human Genetics, Nagasaki University Graduate School of Biomedical Sciences, 1-12-4 Sakamoto, Nagasaki 8528523, Japan.
Kenichiro YamagataDepartment of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita 5648565, Japan.ORCID 0000-0002-9571-7017
Soshiro OgataDepartment of Preventive Medicine and Epidemiology, National Cerebral and Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita 5648565, Japan.
Yoshiyasu AizawaDepartment of Cardiovascular Medicine, International University of Health and Welfare, 4-3 Kozunomori, Narita 2860048, Japan.ORCID 0000-0002-8323-4229
Kenshi HayashiDepartment of Cardiovascular Medicine, Kanazawa University Graduate School of Medical Sciences, 13-1 Takaramachi, Kanazawa 9208641, Japan.ORCID 0000-0002-8219-7729
Hiroshi MoritaDepartment of Cardiovascular Therapeutics, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 2-5-1 Shikata-cho, Okayama 7008558, Japan.ORCID 0000-0001-6419-1246
Tadashi NakajimaDepartment of Cardiovascular Medicine, Gunma University Graduate School of Medicine, 3-39-22 Showamachi, Maebashi 3710034, Japan.ORCID 0000-0002-9635-2769
Yukiko NakanoDepartment of Cardiovascular Medicine, Hiroshima University, 1-2-3 Kasumi, Hiroshima 7348551, Japan.
Satoshi NagaseDepartment of Advanced Arrhythmia and Translational Medical Science, National Cerebral and Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita 5648565, Japan.
Nobuyuki MurakoshiDepartment of Cardiology, University of Tsukuba, 1-1-1 Tennodai, Tsukuba 3058575, Japan.
Shinya KowaseDepartment of Heart Rhythm Management, Yokohama Rosai Hospital, 3211 Kozukue-Cho, Yokohama 2220036, Japan.ORCID 0000-0002-3576-759X
Kimie OhkuboDivision of Cardiology, Department of Medicine, Nihon University School of Medicine, 30-1 Oyaguchi-kamimachi, Tokyo 1738610, Japan.
Takeshi AibaDepartment of Clinical Laboratory, National Cerebral and Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita 5648565, Japan.
Shimpei MorimotoInnovation Platform & Office for Precision Medicine, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1 Sakamoto, Nagasaki 8528501, Japan.ORCID 0000-0002-5340-6851
Seiko OhnoDepartment of Bioscience and Genetics, National Cerebral and Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita 5648565, Japan.
Shiro KamakuraDepartment of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita 5648565, Japan.
Akihiko NogamiDepartment of Cardiology, University of Tsukuba, 1-1-1 Tennodai, Tsukuba 3058575, Japan.ORCID 0000-0003-0359-4601
Masahiko TakagiDivision of Cardiac Arrhythmia, Kansai Medical University, 10-15 Fumizonomachi, Moriguchi 5708507, Japan.
Matilde KarakachoffL'institut du Thorax, CHU Nantes, 1 Place Alexis-Ricordeau, Nantes 44007, France.
Christian DinaL'institut du Thorax, INSERM, CNRS, UNIV Nantes, 8 Quai Moncousu, Nantes 44007, France.ORCID 0000-0002-7722-7348
Jean-Jacques SchottL'institut du Thorax, INSERM, CNRS, UNIV Nantes, 8 Quai Moncousu, Nantes 44007, France.ORCID 0000-0002-9578-9475
Koh-Ichiro YoshiuraDepartment of Human Genetics, Nagasaki University Graduate School of Biomedical Sciences, 1-12-4 Sakamoto, Nagasaki 8528523, Japan.
Minoru HorieCenter for Epidemiologic Research in Asia, Shiga University of Medical Science, Setatsukiwa-cho, Ohtsu 5202192, Japan.ORCID 0000-0002-9029-2339
Wataru ShimizuDepartment of Cardiovascular Medicine, Nippon Medical School, 1-1-5 Sendagi, Tokyo 1138603, Japan.ORCID 0000-0001-9941-8973
Kunihiro NishimuraDepartment of Preventive Medicine and Epidemiology, National Cerebral and Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita 5648565, Japan.
Kengo KusanoDepartment of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita 5648565, Japan.ORCID 0000-0002-5760-9285
Naomasa MakitaOmics Research Center, National Cerebral and Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita 5648565, Japan.ORCID 0000-0002-1807-672X
National Cerebral and Cardiovascular Center · JPNagasaki University · JPCentre National de la Recherche Scientifique · FRUniversity of Tsukuba · JPGunma University · JPHiroshima University · JPInstitut du Thorax · FRInternational University of Health and Welfare · JPKanazawa University · JPKansai Medical University · JPNihon University · JPNippon Medical School · JPOkayama University · JPShiga University of Medical Science · JPYokohama Rosai Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe prognostic value of genetic variants for predicting lethal arrhythmic events (LAEs) in Brugada syndrome (BrS) remains controversial. We investigated whether the functional curation of SCN5A variations improves prognostic predictability. METHODS AND

resultsUsing a heterologous expression system and whole-cell patch clamping, we functionally characterized 22 variants of unknown significance (VUSs) among 55 SCN5A mutations previously curated using in silico prediction algorithms in the Japanese BrS registry (n = 415). According to the loss-of-function (LOF) properties, SCN5A mutation carriers (n = 60) were divided into two groups: LOF-SCN5A mutations and non-LOF SCN5A variations. Functionally proven LOF-SCN5A mutation carriers (n = 45) showed significantly severer electrocardiographic conduction abnormalities and worse prognosis associated with earlier manifestations of LAEs (7.9%/year) than in silico algorithm-predicted SCN5A carriers (5.1%/year) or all BrS probands (2.5%/year). Notably, non-LOF SCN5A variation carriers (n = 15) exhibited no LAEs during the follow-up period. Multivariate analysis demonstrated that only LOF-SCN5A mutations and a history of aborted cardiac arrest were significant predictors of LAEs. Gene-based association studies using whole-exome sequencing data on another independent SCN5A mutation-negative BrS cohort (n = 288) showed no significant enrichment of rare variants in 16 985 genes including 22 non-SCN5A BrS-associated genes as compared with controls (n = 372). Furthermore, rare variations of non-SCN5A BrS-associated genes did not affect LAE-free survival curves.

conclusionIn vitro functional validation is key to classifying the pathogenicity of SCN5A VUSs and for risk stratification of genetic predictors of LAEs. Functionally proven LOF-SCN5A mutations are genetic burdens of sudden death in BrS, but evidence for other BrS-associated genes is elusive.

Indexed as

Brugada SyndromeHumansMutationNAV1.5 Voltage-Gated Sodium ChannelPhenotypeVirulenceNAV1.5 Voltage-Gated Sodium ChannelSCN5A protein, humanBrugada syndromeLethal arrhythmiaPatch-clampSCN5A mutationsVariants of unknown significanceWhole-exome sequencing

Identifiers

PMID34219138
OpenAlexW3180294270

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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.