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New Insights on Genetic Diagnostics in Cardiomyopathy and Arrhythmia Patients Gained by Stepwise Exome Data Analysis

Zitieren Sie bitte immer diese URN: urn:nbn:de:bvb:20-opus-236094
  • Inherited cardiomyopathies are characterized by clinical and genetic heterogeneity that challenge genetic diagnostics. In this study, we examined the diagnostic benefit of exome data compared to targeted gene panel analyses, and we propose new candidate genes. We performed exome sequencing in a cohort of 61 consecutive patients with a diagnosis of cardiomyopathy or primary arrhythmia, and we analyzed the data following a stepwise approach. Overall, in 64% of patients, a variant of interest (VOI) was detected. The detection rate in the mainInherited cardiomyopathies are characterized by clinical and genetic heterogeneity that challenge genetic diagnostics. In this study, we examined the diagnostic benefit of exome data compared to targeted gene panel analyses, and we propose new candidate genes. We performed exome sequencing in a cohort of 61 consecutive patients with a diagnosis of cardiomyopathy or primary arrhythmia, and we analyzed the data following a stepwise approach. Overall, in 64% of patients, a variant of interest (VOI) was detected. The detection rate in the main sub-cohort consisting of patients with dilated cardiomyopathy (DCM) was much higher than previously reported (25/36; 69%). The majority of VOIs were found in disease-specific panels, while a further analysis of an extended panel and exome data led to an additional diagnostic yield of 13% and 5%, respectively. Exome data analysis also detected variants in candidate genes whose functional profile suggested a probable pathogenetic role, the strongest candidate being a truncating variant in STK38. In conclusion, although the diagnostic yield of gene panels is acceptable for routine diagnostics, the genetic heterogeneity of cardiomyopathies and the presence of still-unknown causes favor exome sequencing, which enables the detection of interesting phenotype–genotype correlations, as well as the identification of novel candidate genes.zeige mehrzeige weniger

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Autor(en): Konstantinos Kolokotronis, Natalie Pluta, Eva Klopocki, Erdmute Kunstmann, Daniel Messroghli, Christoph Maack, Shai Tejman-Yarden, Michael Arad, Simone Rost, Brenda GerullORCiD
URN:urn:nbn:de:bvb:20-opus-236094
Dokumentart:Artikel / Aufsatz in einer Zeitschrift
Institute der Universität:Medizinische Fakultät / Institut für Humangenetik
Medizinische Fakultät / Medizinische Klinik und Poliklinik I
Medizinische Fakultät / Deutsches Zentrum für Herzinsuffizienz (DZHI)
Sprache der Veröffentlichung:Englisch
Titel des übergeordneten Werkes / der Zeitschrift (Englisch):Journal of Clinical Medicine
Erscheinungsjahr:2020
Band / Jahrgang:9
Heft / Ausgabe:7
Aufsatznummer:2168
Originalveröffentlichung / Quelle:Journal of Clinical Medicine 2020, 9(7), 2168; https://doi.org/10.3390/jcm9072168
DOI:https://doi.org/10.3390/jcm9072168
Allgemeine fachliche Zuordnung (DDC-Klassifikation):6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Freie Schlagwort(e):candidate genes; cardiogenetics; cardiomyopathy; targeted gene panel; whole exome sequencing
Datum der Freischaltung:10.05.2021
Sammlungen:Open-Access-Publikationsfonds / Förderzeitraum 2020
Lizenz (Deutsch):License LogoCC BY: Creative-Commons-Lizenz: Namensnennung 4.0 International