ArticleMeta gene2015
Mutational analysis of SCN5A gene in long QT syndrome.
Article in Meta gene, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Common and Rare Coding Genetic Variation Underlying the Electrocardiographic PR Interval.Circulation. Genomic and precision medicine · 2018Pooled it
- Clinical characteristics and gene analysis of long QT syndrome in 15 children.Frontiers in pediatrics · 2025Article
- Modeling incomplete penetrance in long QT syndrome type 3 through ion channel heterogeneity: an in silico population study.American journal of physiology. Heart and circulatory physiology · 2023Article
- Article
- Telmisartan, an Antagonist of Angiotensin II Receptors, Accentuates Voltage-Gated NaFrontiers in neuroscience · 2020Article
- The role of known variants of KCNQ1, KCNH2, KCNE1, SCN5A, and NOS1AP in water-related deaths.International journal of legal medicine · 2016Article
- Phenotype guided characterization and molecular analysis of Indian patients with long QT syndromes.Indian pacing and electrophysiology journalArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 7 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The SCN5A gene encodes for the INa channel implicated in long QT syndrome type-3 (LQTS-type-3). Clinical symptoms of this type are lethal as most patients had a sudden death during sleep. Screening of SCN5A in South Indian cohort by PCR-SSCP analyses revealed five polymorphisms - A29A (exon-2), H558R (exon-12), E1061E and S1074R (exon-17) and IVS25 + 65G > A (exon-25) respectively. In-silico and statistical analyses were performed on all the polymorphisms. Exon-2 of SCN5A gene revealed A282G polymorphism (rs6599230), resulting in alanine for alanine (A29A) silent substitution in the N-terminus of SCN5A protein. Exon-12 showed A1868G polymorphism (H558R - rs1805124) and its 'AA' genotype and 'A' allele frequency were found to be higher in LQTS patients pointing towards its role in LQTS etiology. Two polymorphisms A3378G (E1061E) and the novel C3417A (S1074R) were identified as compound heterozygotes/genetic compounds in exon-17 of SCN5A located in the DIIS6-DIIIS1 domain of the SCN5A transmembrane protein. IVS25 + 65G > A was identified in intron-25 of SCN5A. The 'G' allele was identified as the risk allele. Variations were identified in in-silico analyses which revealed that these genetic compounds may lead to downstream signaling variations causing aberrations in sodium channel functions leading to prolonged QTc. The compound heterozygotes of SCN5A gene polymorphisms revealed a significant association which may be deleterious/lethal leading to an aberrant sodium ion channel causing prolonged QTc.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.