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Atlas of the clinical genetics of human dilated cardiomyopathy

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http://hdl.handle.net/2183/19982
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  • Investigación (FCS) [1293]
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Título
Atlas of the clinical genetics of human dilated cardiomyopathy
Autor(es)
Haas, Jan
Frese, Karen S.
Peil, Barbara
Kloos, Wanda
Keller, Andreas
Nietsch, Rouven
Feng, Zhu
Müller, Sabine
Kayvanpour, Elham
Vogel, Britta
Sedaghat-Hamedani, Farbod
Lim, Wie-Keat
Zhao, Xiaohong
Fradkin, Dmitriy
Köhler, Doreen
Fischer, Simon
Franke, Jennifer
Marquart, Sabine
Barb, Ioana
Li, Daniel Tian
Amr, Ali
Ehlermann, Philipp
Mereles, Derliz
Weis, Tanja
Hassel, Sarah
Kremer, Andreas
King, Vanessa
Wirsz, Emil
Isnard, Richard
Komajda, Michel
Serio, Alessandra
Grasso, Maurizia
Syrris, Petros
Wicks, Eleanor
Plagnol, Vincent
Lopes, Luis
Gadgaard, Tenna
Eiskjaer, Hans
Jorgensen, Mads
García-Giustiniani, Diego
Ortiz-Genga, Martín
Crespo-Leiro, María Generosa
Deprez, Rondal H. Lekanne Dit
Christiaans, Imke
Rijsingen, Ingrid A. van
Wilde, Arthur A.
Waldenstrom, Anders
Bolognesi, Martino
Bellazzi, Riccardo
Mörner, Stellan
Lorenzo Bermejo, Justo
Monserrat, Lorenzo
Villard, Eric
Mogensen, Jens
Pinto, Yigal M.
Charron, Philippe
Elliott, Perry M.
Arbustini, Eloisa
Katus, Hugo A.
Meder, Benjamin
Data
2014-08-27
Cita bibliográfica
Haas J, Frese KS, Peil B, et al. Atlas of the clinical genetics of human dilated cardiomyopathy. Eur Heart J. 2014; 36(18):1123-1135
Resumo
[Abstract] Aim. Numerous genes are known to cause dilated cardiomyopathy (DCM). However, until now technological limitations have hindered elucidation of the contribution of all clinically relevant disease genes to DCM phenotypes in larger cohorts. We now utilized next-generation sequencing to overcome these limitations and screened all DCM disease genes in a large cohort. Methods and results. In this multi-centre, multi-national study, we have enrolled 639 patients with sporadic or familial DCM. To all samples, we applied a standardized protocol for ultra-high coverage next-generation sequencing of 84 genes, leading to 99.1% coverage of the target region with at least 50-fold and a mean read depth of 2415. In this well characterized cohort, we find the highest number of known cardiomyopathy mutations in plakophilin-2, myosin-binding protein C-3, and desmoplakin. When we include yet unknown but predicted disease variants, we find titin, plakophilin-2, myosin-binding protein-C 3, desmoplakin, ryanodine receptor 2, desmocollin-2, desmoglein-2, and SCN5A variants among the most commonly mutated genes. The overlap between DCM, hypertrophic cardiomyopathy (HCM), and channelopathy causing mutations is considerably high. Of note, we find that >38% of patients have compound or combined mutations and 12.8% have three or even more mutations. When comparing patients recruited in the eight participating European countries we find remarkably little differences in mutation frequencies and affected genes. Conclusion. This is to our knowledge, the first study that comprehensively investigated the genetics of DCM in a large-scale cohort and across a broad gene panel of the known DCM genes. Our results underline the high analytical quality and feasibility of Next-Generation Sequencing in clinical genetic diagnostics and provide a sound database of the genetic causes of DCM.
Palabras chave
Cardiomyopathy
Genetics
Patients
Diagnosis
 
Versión do editor
http://dx.doi.org/10.1093/eurheartj/ehu301
Dereitos
This is a pre-copyedited, author-produced version of an article accepted for publication in "European Heart Journal" following peer review. The version of record is avaliable online at Oxford Academic web page.
ISSN
0195-668X
1522-9645
 

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