ArticleAdvanced biomedical research2016
Genetic analysis of Iranian family with hereditary cardiac arrhythmias by next generation sequencing.
Article in Advanced biomedical research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Reevaluating the Mutation Classification in Genetic Studies of Bradycardia Using ACMG/AMP Variant Classification Framework.International journal of genomics · 2020Article
- Genomic-based diagnosis of arrhythmia disease in a personalized medicine era.Expert review of precision medicine and drug development · 2016Article
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Authors and funding
7 authors.
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Abstract
backgroundCardiac arrhythmias are responsible for several cases of syncope and sudden cardiac death annually worldwide. Due to overlapping clinical symptoms in some cardiac arrhythmias genetic studies would help to confirm the primary clinical diagnosis made on the basis of solely clinical findings. In addition clinical management of the patient, family screening and provide appropriate counseling and risk assessment for the family members are other advantages of genetic study. MATERIALS AND
methodsTotally nine patients from a family included in this study. The primary diagnosis on the basis of clinical findings was second-degree atrioventricular (AV) block for this family. Mutation in SCN5A gene is frequently reported for second-degree AV block and hence the gene was analyzed using whole gene sequencing but no mutation was detected. Subsequently, the samples were subjected to customized Ampliseq 77 gene panel using next generation sequencing to detect the underlying molecular defects.
resultsWe found c. 5570T>A missense mutation in ANK2 gene for this family. Based on the Online Mendelian Inheritance in Man, ANK2 gene and the mutation detected correspond to long QT syndrome type 4.
conclusionThis mutation, although already known in other populations, but is reported for the first time in Iranian patients with cardiac arrhythmias. As the case with this family, genetic analysis of patients with cardiac arrhythmias would be helpful in reassessment of clinical diagnosis and therefore would help for patients' management and in some cases re-evaluation of ongoing treatment may be needed.
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