Contribution of copy number variants to the genetic etiology of dilated cardiomyopathy

Abstract Background/Introduction Dilated cardiomyopathy (DCM) is one of the most common cardiomyopathies, with a prevalence of 1 in 250. Single nucleotide variants (missense, nonsense, or frameshift) in definitive DCM genes are the most frequently identified in positive genetic studies. Despite majo...

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Published in:European heart journal 2023-11, Vol.44 (Supplement_2)
Main Authors: Cardenas Reyes, I, Gomez Diaz, I, De La Higuera Romero, L, Amor Salamanca, A, Garcia Hernandez, S, Valverde Gomez, M, Cabrera Argana, D, Fernandez Fernandez, X, Ortiz Genga, M, Cazon Varela, L, Perez Barbeito, M, Peteiro Deben, R, Sanchez Flores, M, Ochoa, J P
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Language:English
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Summary:Abstract Background/Introduction Dilated cardiomyopathy (DCM) is one of the most common cardiomyopathies, with a prevalence of 1 in 250. Single nucleotide variants (missense, nonsense, or frameshift) in definitive DCM genes are the most frequently identified in positive genetic studies. Despite major advances in genetic diagnostic technologies in recent decades, and more than 100 genes potentially associated with DCM identified to date, the diagnostic yield is still lower than 40%. Copy number variants (CNVs) have been identified as cause of the disease in several studies, especially in genes intolerant to haploinsufficiency. However, the contribution of CNVs to the etiology of DCM has not been evaluated in large cohorts of DCM patients and remains unknown. Purpose To determine the percentage of cases in which CNVs have been identified as the cause of disease in a large cohort of DCM patients evaluated genetically. Methods Retrospective study in which the presence of CNVs was evaluated in a cohort of patients diagnosed with DCM and studied by next-generation-sequencing (NGS). CNVs were detected using a read depth approach and confirmed by an orthogonal molecular technique (Sanger sequencing, MLPA, or dPCR). Results 6,512 DCM patients referred for genetic testing were sequenced in our center by NGS, and the median age at the time of genetic study was 51.1 years (range 0-93). A pathogenic (P) or likely-pathogenic (LP) disease-causing variant was identified in 1,495 of the patients (diagnostic yield of 22.9%). In 67 (1.02%) of the cases, a CNV classified as P/LP was identified. DMD was the gene with the highest number of CNVs identified (n=40), followed by TTN (n=7) and LMNA (n=5). Of the 67 cases, 45 (67%) corresponded to deletions, with a lesser extent to duplications (n=9; 13%), complex alterations (n=7; 11%), and deletion/insertion (n=6; 9%). Only two of the patients harboring disease-causing CNVs had other variants potentially associated with DCM: a likely-pathogenic variant in MYH7 and a homozygous pathogenic variant in the ALMS1 gene. Conclusion In our cohort of DCM patients, 1.02% harbored CNVs considered P/LP, being DMD the most frequently identified gene. These results show that systematic CNVs analysis in NGS studies improves the yield of genetic testing in DCM and highlights the importance of a complete genetic study that includes structural variant detection in the diagnosis of the disease.
ISSN:0195-668X
1522-9645
DOI:10.1093/eurheartj/ehad655.1862