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The G in our model P = G + E is quite complex as it has a number of underlying components. This can be modelled as:

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The genetic component consist of three underlying effects: 

  1. The epistatic effect: interaction between genes
  2. The dominance effect: interaction between alleles of the same gene
  3. The additive effect: everything that is left over after correcting for the interacting effects

In variance component terms the genetic variance can thus be written as 


σ2G = σ2A + σ2D + σ2I

                                   

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