Many complex traits should be predictable once the genes that modulate their course are known and one of the promises of GWAS is to provide the decoder of these complex genetic diseases that, when coupled with information about environmental exposure, can be used to compute individual risk for a disease and to suggest appropriate prophylactic treatments or lifestyle changes. We share with multiple other investigators the belief that data from GWAS are largely unexploited [46,95], and may contain the information to decipher the genetics of complex diseases. However, building models that predict the outcome of individual patients based on their genetic profile challenges investigators with a plethora of computational issues.
