ArticlePloS one2014
Identification of Genetic Alterations, as Causative Genetic Defects in Long QT Syndrome, Using Next Generation Sequencing Technology.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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18 citing papers in PubMed, 31 citations in OpenAlex.
- Copy Number Variants in Cardiac Channelopathies: Still a Missed Part in Routine Arrhythmic Diagnostics.Biomolecules · 2024Article
- Article
- Molecular Approach of Hereditary Arrhythmias, Long QT Syndrome, and Arrhythmogenic Right Ventricular Cardiomyopathy.Anatolian journal of cardiology · 2022Article
- Discerning the Ambiguous Role of MissenseJournal of personalized medicine · 2022Article
- Clinical Genetics of Inherited Arrhythmogenic Disease in the Pediatric Population.Biomedicines · 2022Review
- Early Identification of Prolonged QT Interval for Prevention of Sudden Infant Death.Frontiers in pediatrics · 2021Article
- Personalized Interpretation and Clinical Translation of Genetic Variants Associated With Cardiomyopathies.Frontiers in genetics · 2019Article
- Electrocardiographic Assessment and Genetic Analysis in Neonates: a Current Topic of Discussion.Current cardiology reviews · 2019Review
- Role of copy number variants in sudden cardiac death and related diseases: genetic analysis and translation into clinical practice.European journal of human genetics : EJHG · 2018Article
- Incomplete Penetrance and Variable Expressivity: Hallmarks in Channelopathies Associated with Sudden Cardiac Death.Biology · 2017Review
- Ethical considerations in forensic genetics research on tissue samples collected post-mortem in Cape Town, South Africa.BMC medical ethics · 2017Article
- Genetic Testing in Inherited Heart Diseases: Practical Considerations for Clinicians.Current cardiology reports · 2017Review
- Mutation analysis for the detection of long QT-syndrome (LQTS) associated SNPs.International journal of legal medicine · 2017Article
- Targeted next-generation sequencing provides novel clues for associated epilepsy and cardiac conduction disorder/SUDEP.PloS one · 2017Article
- Ventricular repolarization measures for arrhythmic risk stratification.World journal of cardiology · 2016Review
- Genomic-based diagnosis of arrhythmia disease in a personalized medicine era.Expert review of precision medicine and drug development · 2016Article
- Genetics of long-QT syndrome.Journal of human genetics · 2016Review
- Article
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLong QT Syndrome is an inherited channelopathy leading to sudden cardiac death due to ventricular arrhythmias. Despite that several genes have been associated with the disease, nearly 20% of cases remain without an identified genetic cause. Other genetic alterations such as copy number variations have been recently related to Long QT Syndrome. Our aim was to take advantage of current genetic technologies in a family affected by Long QT Syndrome in order to identify the cause of the disease.
methodsComplete clinical evaluation was performed in all family members. In the index case, a Next Generation Sequencing custom-built panel, including 55 sudden cardiac death-related genes, was used both for detection of sequence and copy number variants. Next Generation Sequencing variants were confirmed by Sanger method. Copy number variations variants were confirmed by Multiplex Ligation dependent Probe Amplification method and at the mRNA level. Confirmed variants and copy number variations identified in the index case were also analyzed in relatives.
resultsIn the index case, Next Generation Sequencing revealed a novel variant in TTN and a large deletion in KCNQ1, involving exons 7 and 8. Both variants were confirmed by alternative techniques. The mother and the brother of the index case were also affected by Long QT Syndrome, and family cosegregation was observed for the KCNQ1 deletion, but not for the TTN variant.
conclusionsNext Generation Sequencing technology allows a comprehensive genetic analysis of arrhythmogenic diseases. We report a copy number variation identified using Next Generation Sequencing analysis in Long QT Syndrome. Clinical and familiar correlation is crucial to elucidate the role of genetic variants identified to distinguish the pathogenic ones from genetic noise.
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