Vill, K.* ; Blaschek, A.* ; Gläser, D.* ; Kuhn, M.* ; Haack, T.B. ; Alhaddad, B. ; Wagner, M. ; Kovács-Nagy, R.* ; Tacke, M.* ; Gerstl, L.* ; Schroeder, A.S.* ; Borggraefe, I.* ; Mueller, C.* ; Schlotter-Weigel, B.* ; Schoser, B.* ; Walter, M.C.* ; Müller-Felber, W.*
     
 
    
        
Early-onset myopathies: Clinical findings, prevalence of subgroups and diagnostic approach in a single neuromuscular referral center in Germany.
    
    
        
    
    
        
        J. Neuromuscul. Dis. 4, 315-325 (2017)
    
    
		
		
		  DOI
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			Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
		
     
    
		
		
			
				BACKGROUND: Early-onset myopathies are a heterogeneous group of neuromuscular diseases with broad clinical, genetic and histopathological overlap. The diagnostic approach has considerably changed since high throughput genetic methods (next generation sequencing, NGS) became available. OBJECTIVE: We present diagnostic subgroups in a single neuromuscular referral center and describe an algorithm for the diagnostic work-up. METHODS: The diagnostic approach of 98 index patients was retrospectively analysed. In 56 cases targeted sequencing of a known gene was performed, in 44 patients NGS was performed using large muscle specific panels, and in 12 individuals whole exome sequencing (WES) was undertaken. One patient was diagnosed via array CGH. Clinical features of all patients are provided. RESULTS: The final diagnosis could be found in 63 out of 98 patients (64%) with molecular genetic analysis. In 55% targeted gene sequencing could establish the genetic diagnosis. However, this rate largely depended on the presence of distinct histological or clinical features. NGS (large myopathy-related panels and WES) revealed genetic diagnosis in 58.5% (52% and 67%, respectively). The genes detected by WES in our cohort of patients were all covered by the panels. Based on our findings we propose an algorithm for a practical diagnostic approach.Prevalences:MTM1- and LAMA2-patients are the two biggest subgroups, followed by SEPN1-, RYR1- and Collagen VI-related diseases. 31% of genetically confirmed cases represents a group with overlap between "congenital myopathies (CM)" and "congenital muscular dystrophies (CMD)". In 36% of the patients a specific genetic diagnosis could not be assigned. CONCLUSIONS: A final diagnosis can be confirmed by high throughput genetic analysis in 58.5% of the cases, which is a higher rate than reported in the literature for muscle biopsy and should in many cases be considered as a first diagnostic tool. NGS cannot replace neuromuscular expertise and a close discussion with the geneticists on NGS is mandatory. Targeted candidate gene sequencing still plays a role in selected cases with highly suspicious clinical or histological features. There is a relevant clinical and genetic overlap between the entities CM and CMD.
			
			
				
			
		 
		
			
				
					
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        Publikationstyp
        Artikel: Journalartikel
    
 
    
        Dokumenttyp
        Wissenschaftlicher Artikel
    
 
    
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        Herausgeber
        
    
    
        Schlagwörter
        Congenital Myopathy ; Congenital Muscular Dystrophy ; Early-onset Myopathy ; High Throughput Genetic Analysis ; Muscle Biopsy ; Next Generation Sequencing ; Targeted Candidate Gene Sequencing ; Whole Exome Sequencing
    
 
    
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        Sprache
        englisch
    
 
    
        Veröffentlichungsjahr
        2017
    
 
    
        Prepublished im Jahr 
        
    
 
    
        HGF-Berichtsjahr
        2017
    
 
    
    
        ISSN (print) / ISBN
        2214-3599
    
 
    
        e-ISSN
        2214-3602
    
 
    
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	    Band: 4,  
	    Heft: 4,  
	    Seiten: 315-325 
	    Artikelnummer: ,  
	    Supplement: ,  
	
    
 
  
        
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            Verlag
            IOS Press
        
 
        
            Verlagsort
            Amsterdam
        
 
	
        
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        Peer reviewed
    
 
     
    
        POF Topic(s)
        30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
    
 
    
        Forschungsfeld(er)
        Genetics and Epidemiology
    
 
    
        PSP-Element(e)
        G-500700-001
    
 
    
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        Erfassungsdatum
        2018-02-21