TY - JOUR A1 - Kolokotronis, Konstantinos A1 - Pluta, Natalie A1 - Klopocki, Eva A1 - Kunstmann, Erdmute A1 - Messroghli, Daniel A1 - Maack, Christoph A1 - Tejman-Yarden, Shai A1 - Arad, Michael A1 - Rost, Simone A1 - Gerull, Brenda T1 - New Insights on Genetic Diagnostics in Cardiomyopathy and Arrhythmia Patients Gained by Stepwise Exome Data Analysis JF - Journal of Clinical Medicine N2 - 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 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. KW - cardiomyopathy KW - cardiogenetics KW - whole exome sequencing KW - targeted gene panel KW - candidate genes Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-236094 VL - 9 IS - 7 ER - TY - JOUR A1 - Kühnisch, Jirko A1 - Herbst, Christopher A1 - Al‐Wakeel‐Marquard, Nadya A1 - Dartsch, Josephine A1 - Holtgrewe, Manuel A1 - Baban, Anwar A1 - Mearini, Giulia A1 - Hardt, Juliane A1 - Kolokotronis, Konstantinos A1 - Gerull, Brenda A1 - Carrier, Lucie A1 - Beule, Dieter A1 - Schubert, Stephan A1 - Messroghli, Daniel A1 - Degener, Franziska A1 - Berger, Felix A1 - Klaassen, Sabine T1 - Targeted panel sequencing in pediatric primary cardiomyopathy supports a critical role of TNNI3 JF - Clinical Genetics N2 - The underlying genetic mechanisms and early pathological events of children with primary cardiomyopathy (CMP) are insufficiently characterized. In this study, we aimed to characterize the mutational spectrum of primary CMP in a large cohort of patients ≤18 years referred to a tertiary center. Eighty unrelated index patients with pediatric primary CMP underwent genetic testing with a panel‐based next‐generation sequencing approach of 89 genes. At least one pathogenic or probably pathogenic variant was identified in 30/80 (38%) index patients. In all CMP subgroups, patients carried most frequently variants of interest in sarcomere genes suggesting them as a major contributor in pediatric primary CMP. In MYH7, MYBPC3, and TNNI3, we identified 18 pathogenic/probably pathogenic variants (MYH7 n = 7, MYBPC3 n = 6, TNNI3 n = 5, including one homozygous (TNNI3 c.24+2T>A) truncating variant. Protein and transcript level analysis on heart biopsies from individuals with homozygous mutation of TNNI3 revealed that the TNNI3 protein is absent and associated with upregulation of the fetal isoform TNNI1. The present study further supports the clinical importance of sarcomeric mutation—not only in adult—but also in pediatric primary CMP. TNNI3 is the third most important disease gene in this cohort and complete loss of TNNI3 leads to severe pediatric CMP. KW - cardiomyopathy KW - genetics KW - pediatrics KW - sarcomere KW - TNNI3 Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-213958 VL - 96 IS - 6 SP - 549 EP - 559 ER - TY - THES A1 - Kolokotronis, Konstantinos T1 - Genetische Ursachen hereditärer Herzerkrankungen T1 - Genetic causes of inherited cardiac diseases N2 - Hereditäre Kardiomyopathien sind durch klinische und genetische Heterogenität gekennzeichnet, welche die Kardiogenetik vor Herausforderungen stellt. In dieser Arbeit wurden manche dieser Herausforderungen angegangen, indem anhand einer Kohorte von 61 Patienten mit Kardiomyopathie bzw. primärer Arrhythmie eine Exom-Diagnostik mit anschließender stufenweiser Datenanalyse vorgenommen wurde. Ein Ziel der Arbeit war, die aktuellen diagnostischen Detektionsraten zu prüfen sowie zu bewerten, ob eine erweiterte Exom-Diagnostik im Vergleich zur üblichen Genpanel-Analyse einen diagnostischen Zugewinn bringt. Zudem sollten potenzielle Krankheitsgene sowie komplexe Genotypen identifiziert werden. Die Ergebnisse zeigten, dass bei insgesamt 64% der Patienten eine Variante von Interesse gefunden wurde. Hervorzuheben ist die hohe Detektionsrate in der größten Subkohorte, die aus Patienten mit dilatativer bzw. linksventrikulärer Non-Compaction Kardiomyopathie bestand: 69% und damit höher im Vergleich zur in der Literatur berichteten Detektionsrate von bis zu 50%. Im Rahmen der stufenweisen Daten-Auswertung zeigte sich zwar, dass die meisten kausalen Varianten in den phänotypspezifischen Panels zu finden waren, die Analyse eines erweiterten Panels mit 79 Genen sowie der Gesamtexom-Daten aber zu einer zusätzlichen Aufklärungsquote von 13% bzw. 5% führte. Durch die Erweiterung der Diagnostik konnten interessante, teilweise neue Assoziationen zwischen Genotyp und Phänotyp sowie neue Kandidatengene identifiziert werden. Das beste Beispiel dafür ist eine trunkierende Variante im STK38-Gen, das an der Phosphorylierung eines Regulators der Expression kardialer Gene beteiligt ist. Zusammenfassend konnte gezeigt werden, dass, obwohl die Detektionsrate von Genpanels für die Routine-Diagnostik akzeptabel ist, die Anwendung von Exom-Diagnostik einen diagnostischen Zugewinn, die Entdeckung von interessanten Genotyp-Phänotyp-Korrelationen sowie die Identifizierung von Kandidatengenen ermöglicht. N2 - Hereditary cardiomyopathies are characterized by clinical and genetic heterogeneity, which poses challenges to genetic diagnostics in cardiogenetics. In this study, some of these challenges were addressed on the basis of the genetic analysis of 61 cardiomyopathy and arrhythmia patients using exome sequencing with subsequent stepwise analysis of the genetic data. One objective of the study was to examine the current diagnostic yield of genetic analysis as well as to assess the diagnostic benefit of an extended exome analysis vs. targeted gene panel analysis. Another aim was to identify novel candidate genes and describe new genotype-phenotype correlations. Regarding the results, a variant of interest could be detected in 64% of the patients. Of note is the high detection rate in the main subcohort of patients with dilated cardiomyopathy and/or left ventricular noncompaction cardiomyopathy: 69% vs. the reported detection rate of max. 50% in the literature. To evaluate the additional diagnostic benefit of extensive exome testing, a stepwise analysis of the exome data was performed. It was shown here that most of the variants of interest were detected in the phenotype-specific core gene panels; however, the analysis of an extended gene set with 79 genes and subsequently of the complete exome data led to an additional diagnostic yield of 13% and 5% respectively. Through the expansion of the genetic analysis, interesting or new genotype-phenotype correlations could be documented and candidate genes could be identified. The best candidate was a truncating variant in STK38, a gene coding for a kinase that phosphorylates a transcription regulator of genes encoding for cardiac sarcomere proteins. In conclusion, although the detection rate of gene panels is acceptable for the clinical routine, the use of exome analysis enables the highest possible diagnostic yield, the detection of interesting genotype-phenotype correlations as well as the identification of new candidate genes. KW - Herzmuskelkrankheit KW - Massive parallele Sequenzierung KW - Kandidatengen KW - Genanalyse KW - Arrhythmie KW - whole exome sequencing KW - gene panel KW - cardiogenetics KW - next generation sequencing Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-231164 ER -