claim: using symptom-based case predictions to identify host genetic factors that contribute to covid-19 susceptibility
evidence_1: using a previously reported covid-19 prediction model, we show that it is possible to conduct a gwas on predicted covid-19 which benefits from a larger sample size in order to gain new insights into the genetic susceptibility of the disease.", "recently, it was shown that it is possible to predict potential covid-19 cases using cross- sectional self-reported disease-related symptoms.", "furthermore, we find suggestive evidence that genetic variants for other viral infectious diseases do not overlap with covid-19 susceptibility and that severity of covid-19 may have a different genetic architecture compared to covid-19 susceptibility."
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
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