2026-04-14T08:14:55Zhttps://recercat.cat/oai/request

oai:recercat.cat:10256/124532024-05-21T10:35:57Zcom_2072_452955com_2072_2054col_2072_452960col_2072_453079

Genetic Analysis of Arrhythmogenic Diseases in the Era of NGS: The Complexity of Clinical Decision-Making in Brugada Syndrome Allegue Toscano, Catarina Coll Vidal, Mònica Matés Ramírez, Jesús Campuzano Larrea, Oscar Iglesias, Anna Sobrino, Beatriz Brion, Maria Amigo, Jorge Carracedo, Angel Brugada Terradellas, Pedro Brugada Terradellas, Josep Brugada, Ramon Arítmia Arrhythmia Cor -- Malalties Heart -- Diseases Cor -- Malalties -- Aspectes genètics Heart -- Diseases -- Genetic aspects Brugada, Síndrome de Brugada syndrome Background The use of next-generation sequencing enables a rapid analysis of many genes associated with sudden cardiac death in diseases like Brugada Syndrome. Genetic variation is identified and associated with 30–35% of cases of Brugada Syndrome, with nearly 20–25% attributable to variants in SCN5A, meaning many cases remain undiagnosed genetically. To evaluate the role of genetic variants in arrhythmogenic diseases and the utility of nextgeneration sequencing, we applied this technology to resequence 28 main genes associated with arrhythmogenic disorders. Materials and Methods A cohort of 45 clinically diagnosed Brugada Syndrome patients classified as SCN5Anegative was analyzed using next generation sequencing. Twenty-eight genes were resequenced: AKAP9, ANK2, CACNA1C, CACNB2, CASQ2, CAV3, DSC2, DSG2, DSP, GPD1L, HCN4, JUP, KCNE1, KCNE2, KCNE3, KCNH2, KCNJ2, KCNJ5, KCNQ1, NOS1AP, PKP2, RYR2, SCN1B, SCN3B, SCN4B, SCN5A, SNTA1, and TMEM43. A total of 85 clinically evaluated relatives were also genetically analyzed to ascertain familial segregation. Results and Discussion Twenty-two patients carried 30 rare genetic variants in 12 genes, only 4 of which were previously associated with Brugada Syndrome. Neither insertion/deletion nor copy number variation were detected. We identified genetic variants in novel candidate genes potentially associated to Brugada Syndrome. These include: 4 genetic variations in AKAP9 including a de novo genetic variation in 3 positive cases; 5 genetic variations in ANK2 detected in 4 cases; variations in KCNJ2 together with CASQ2 in 1 case; genetic variations in RYR2, including a de novo genetic variation and desmosomal proteins encoding genes including DSG2, DSP and JUP, detected in 3 of the cases. Larger gene panels or whole exome sequencing should be considered to identify novel genes associated to Brugada Syndrome. However, application of approaches such as whole exome sequencing would difficult the interpretation for clinical purposes due to the large amount of data generated. The identification of these genetic variants opens new perspectives on the implications of genetic background in the arrhythmogenic substrate for research purposes. Conclusions As a paradigm for other arrhythmogenic diseases and for unexplained sudden death, our data show that clinical genetic diagnosis is justified in a family perspective for confirmation of genetic causality. In the era of personalized medicine using high-throughput tools, clinical decision-making is increasingly complex 2015 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/10256/12453 http://hdl.handle.net/10256/12453 eng info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0133037 info:eu-repo/semantics/altIdentifier/eissn/1932-6203 Attribution 3.0 Spain http://creativecommons.org/licenses/by/3.0/es/ info:eu-repo/semantics/openAccess application/pdf Public Library of Science (PLoS) PLoS One, 2015, vol. 10, núm. 7, p.e0133037 Articles publicats (D-CM)