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<math>\boldsymbol{\beta_c}</math> is the vector of covariate effects
 
<math>\boldsymbol{\beta_c}</math> is the vector of covariate effects
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<math>\beta_i</math> is the scalar of fixed genetic effect of the <math>i^{th}</math> variant
    
<math>\mathbf{g}</math> is the random genetic effects
 
<math>\mathbf{g}</math> is the random genetic effects
    
<math>\boldsymbol{\varepsilon}</math> is the non-shared environmental effects
 
<math>\boldsymbol{\varepsilon}</math> is the non-shared environmental effects
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Then the null model can be specified as
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  <math>\mathbf{y}=\mathbf{X}\boldsymbol{\beta_c} +\mathbf{g}+ \boldsymbol{\varepsilon}</math>
      
== Single Variant Score Tests ==
 
== Single Variant Score Tests ==
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