Evidence map›Paper›PMID 34312669›Full record

ArticleHuman molecular genetics2021

Common variants in SCN10A gene associated with Brugada syndrome.

Yan Huang, Xiao-Meng Chen, Hector Barajas-Martinez, Hong Jiang, Charles Antzelevitch, Dan Hu

Open access · greenAbstract read
In one paragraph

Article in Human molecular genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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

6 authors at 3 institutions in 2 countries.

Yan HuangDepartment of Cardiology and Cardiovascular Research Institute, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, China.
Xiao-Meng ChenDepartment of Cardiology, Qingdao Municipal Hospital, School of Medicine, Qingdao University, Qingdao 266071, China.
Hector Barajas-MartinezLankenau Institute for Medical Research, and Lankenau Heart Institute, Wynnwood, Pennsylvania and Jefferson Medical College, Philadelphia, PA 19096, USA.
Hong JiangDepartment of Cardiology and Cardiovascular Research Institute, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, China.
Charles AntzelevitchLankenau Institute for Medical Research, and Lankenau Heart Institute, Wynnwood, Pennsylvania and Jefferson Medical College, Philadelphia, PA 19096, USA.
Dan HuDepartment of Cardiology and Cardiovascular Research Institute, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, China.ORCID 0000-0002-0994-8434
Wuhan University · CNLankenau Institute for Medical Research · USQingdao University · CN

Funding

ELECTRICAL HETEROGENEITY AND CARDIAC ARRHYTHMIASR01HL047678 · NHLBI · MASONIC MEDICAL RESEARCH LABORATORY, INC · PI ANTZELEVITCH, CHARLES · 1993 to 2014
$5.7M
Development of a whole heart model of the J wave syndromes and novel approaches to pharmacologic management of associated life-threatening arrhythmiasR01HL152201 · NHLBI · LANKENAU INSTITUTE FOR MEDICAL RESEARCH · PI ANTZELEVITCH, CHARLES, DI DIEGO, JOSE M. · 2020 to 2023
$2.5M
Novel Approaches to Pharmacologic Management of Life-Threatening Arrhythmias Associated with the J Wave SyndromesR56HL138103 · NHLBI · LANKENAU INSTITUTE FOR MEDICAL RESEARCH · PI ANTZELEVITCH, CHARLES · 2018 to 2018
$413k
NHLBI NIH HHS R01 HL047678NHLBI NIH HHS R01 HL152201NHLBI NIH HHS R56 HL138103
6 · The paper itself

Abstract

Genome-wide association studies indicate that SCN10A plays an important role in cardiac electrophysiology. Common and rare SCN10A variants are suggested to contribute to Brugada Syndrome (BrS), an inherited channelopathy resulting from genetic-determined loss-of-function in cardiac sodium channel. This study sought to characterize the role of SCN10A common variants in BrS. Clinical and genetic analyses were performed in 197 patients diagnosed with BrS. Baseline ECG parameters were evaluated in patients carrying each of four common variants associated with BrS. Cellular electrophysiological study was performed in SCN5A-SCN10A co-transfected TSA201 cells to investigate the possible electrophysiological characteristics of the allele of rs6795970, which displayed the most significant association with BrS. Four SCN10A common variants (rs7630989, rs57326399, rs6795970, rs12632942) displayed significant association with BrS susceptibility. There were no evident associations between baseline ECG parameters in BrS patients and the different genotypes of the four variants. Rs6795970 (V1073) was strongly associated with a risk for BrS, which suggests the different electrophysiological characters between these two alleles. Functional study showed a positive shift in steady-state activation (V1/2: -62.2 ± 2.6 vs. -53.5 ± 1.6 for A1073 and V1073 group, respectively; P < 0.05) and slower recovery from inactivation in mutant SCN5A-SCN10A co-transfected cells with, which contribute to the slow conduction in BrS patients with rs6795970. In conclusion, SCN10A common variants are associated with increased susceptibility to BrS. An allele rs6795970 (V1073) increases the risk for BrS. The electrophysiological changes in a positive shift in steady-state activation and slower recovery from inactivation by SCN10A-V1073 contribute to this variant associated BrS.

Indexed as

Brugada SyndromeElectrocardiographyGenetic Predisposition to DiseaseGenetic TestingGenome-Wide Association StudyHumansNAV1.5 Voltage-Gated Sodium ChannelNAV1.8 Voltage-Gated Sodium ChannelNAV1.5 Voltage-Gated Sodium ChannelNAV1.8 Voltage-Gated Sodium ChannelSCN10A protein, human

Identifiers

PMID34312669
PMCPMC8743002
OpenAlexW3186539576

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.