Lawingco, T;
              
      
            
                Chaudhury, S;
              
      
            
                Brookes, KJ;
              
      
            
                Guetta-Baranes, T;
              
      
            
                Guerreiro, R;
              
      
            
                Bras, J;
              
      
            
                Hardy, J;
              
      
            
            
          
      
            
            
          
      
            
            
          
      
            
            
            ... Morgan, K; + view all
            
          
      
        
        
        
    
  
(2021)
  Genetic variants in glutamate-, Aβ-, and tau-related pathways determine polygenic risk for Alzheimer's disease.
Neurobiology of Aging
, 101
      
    
     299.e13-299.e21.
    
         10.1016/j.neurobiolaging.2020.11.009.
  
  
       
    
  
| Preview | Text Hardy_Genetic variants in glutamate, Aβ and tau related pathways determine polygenic risk for Alzheimer’s disease.pdf - Accepted Version Download (573kB) | Preview | 
Abstract
Synapse loss is an early event in late-onset Alzheimer's disease (LOAD). In this study, we have assessed the capacity of a polygenic risk score (PRS) restricted to synapse-encoding loci to predict LOAD. We used summary statistics from the International Genetics of Alzheimer's Project genome-wide association meta-analysis of 74,046 patients for model construction and tested the "synaptic PRS" in 2 independent data sets of controls and pathologically confirmed LOAD. The mean synaptic PRS was 2.3-fold higher in LOAD than that in controls (p < 0.0001) with a predictive accuracy of 72% in the target data set (n = 439) and 73% in the validation data set (n = 136), a 5%-6% improvement compared with the APOE locus (p < 0.00001). The model comprises 8 variants from 4 previously identified (BIN1, PTK2B, PICALM, APOE) and 2 novel (DLG2, MINK1) LOAD loci involved in glutamate signaling (p = 0.01) or APP catabolism or tau binding (p = 0.005). As the simplest PRS model with good predictive accuracy to predict LOAD, we conclude that synapse-encoding genes are enriched for LOAD risk-modifying loci. The synaptic PRS could be used to identify individuals at risk of LOAD before symptom onset.
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