Witzel, S.* ; Wagner, M. ; Zhao, C. ; Kandler, K.* ; Graf, E. ; Berutti, R.* ; Oexle, K. ; Brenner, D.* ; Winkelmann, J. ; Ludolph, A.C.*
     
    
        
Fast versus slow disease progression in amyotrophic lateral sclerosis–clinical and genetic factors at the edges of the survival spectrum.
    
    
        
    
    
        
        Neurobiol. Aging 119, 117-126 (2022)
    
    
 	
    
	
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			Open Access Green as soon as Postprint is submitted to ZB.
		
     
    
      
      
	
	    Patients with amyotrophic lateral sclerosis (ALS) show substantial differences in disease progression and survival. However, the genetic contribution to the extremes of this spectrum remains poorly characterized. We unbiasedly selected and genotyped 102 ALS patients with very short (<15 months) and 90 with very long survival (>100 months) from the ALS registry of Ulm University using whole-exome sequencing and C9orf72 repeat expansion testing followed by a clinicogenetic correlation analysis. Clinically, groups significantly differed regarding site of disease onset, age at onset, BMI at diagnosis, disease progression rates, and diagnostic latency. We found a monogenic disease cause in 31 patients (16%) without significant differences in patients with short and long survival (19% vs. 13%; p = 0.41), but differences in the genotypic architecture. C9orf72 expansions and FUS mutations were only found in fast progressors, whereas SOD1 variants were frequent in both groups contributing 52% of all monogenic cases–33% among fast and 75% among slow variants. Our genotype-phenotype correlation may be relevant for genetic counseling, estimation of prognosis, and therapeutic decisions.
	
	
	    
	
       
      
	
	    
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        Publication type
        Article: Journal article
    
 
    
        Document type
        Scientific Article
    
 
    
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        Keywords
        Amyotrophic Lateral Sclerosis ; Disease Progression ; Exome Sequencing ; Prognostic Factors ; Sod1 ; Survival
    
 
    
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        Language
        english
    
 
    
        Publication Year
        2022
    
 
    
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        2022
    
 
    
    
        ISSN (print) / ISBN
        0197-4580
    
 
    
        e-ISSN
        1558-1497
    
 
    
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	    Volume: 119,  
	    Issue: ,  
	    Pages: 117-126 
	    Article Number: ,  
	    Supplement: ,  
	
    
 
    
        
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            Elsevier
        
 
        
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            New York, NY [u.a.]
        
 
	
        
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        Reviewing status
        Peer reviewed
    
 
     
    
        POF-Topic(s)
        30205 - Bioengineering and Digital Health
    
 
    
        Research field(s)
        Genetics and Epidemiology
    
 
    
        PSP Element(s)
        G-503200-001
    
 
    
        Grants
        Universität Ulm
Deutsche Gesellschaft für Neurologie
Fondation Charcot
Deutsche Forschungsgemeinschaft
Boehringer Ingelheim
Teva Pharmaceutical Industries
Biogen
    
 
    
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        Erfassungsdatum
        2022-11-08