Article ; Online: Genetic variants in Colombian patients with inherited cardiac conditions.
Molecular genetics & genomic medicine
2022 Volume 10, Issue 11, Page(s) e2046
Abstract: Background: Clinical and molecular diagnosis of inherited cardiac conditions is key to find at-risk subjects and avoid preventable deaths. This study aimed to identify genetic variants in a sample of Colombian patients diagnosed with inherited cardiac ... ...
Abstract | Background: Clinical and molecular diagnosis of inherited cardiac conditions is key to find at-risk subjects and avoid preventable deaths. This study aimed to identify genetic variants in a sample of Colombian patients diagnosed with inherited cardiac conditions. Methods: Next-generation sequencing (Illumina platform) using a 231 gene panel was performed in blood samples of 25 unrelated patients with age disease onset between 9 and 55 years. Results: Genetic testing yield was 52%. Two novel likely pathogenic/ pathogenic variants were found: a DSP nonsense variant in a patient with arrhythmogenic cardiomyopathy and a KCNE1 frameshift variant in two patients with long QT syndrome. Younger individuals (<18 years) had the highest genetic testing yield (66.6%) compared to 50% and 20% in young adults and patients over 40 years, respectively. All subjects affected with long QT syndrome with a severe event while exercising had a positive genetic test. They also had four times more loss of consciousness events and, resuscitated sudden cardiac arrest was more representative. Conclusion: This study is the first one undertaken in Colombia to evaluate inherited cardiac conditions. It highlights the need to perform mutational analysis to provide adequate genetic counseling and to be able to identify patients at risk of severe events. |
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MeSH term(s) | Young Adult ; Humans ; Child ; Adolescent ; Adult ; Middle Aged ; Death, Sudden, Cardiac ; Colombia ; Long QT Syndrome/genetics ; Long QT Syndrome/diagnosis ; Genetic Testing ; Genetic Counseling |
Language | English |
Publishing date | 2022-10-06 |
Publishing country | United States |
Document type | Journal Article |
ZDB-ID | 2734884-2 |
ISSN | 2324-9269 ; 2324-9269 |
ISSN (online) | 2324-9269 |
ISSN | 2324-9269 |
DOI | 10.1002/mgg3.2046 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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