1. A method for predicting a subject's medical outcome, comprising: identifying a subject with a medical condition or at risk of acquiring a medical condition; predicting the subject's medical outcome by comparing the subject's genetic profile with a set of control genetic profiles, wherein the control genetic profiles are generated from a group of subjects with the same disease using classification and regression trees (CART) based on the presence of identifying genetic characteristics and wherein each node in a classification tree describes the presence of a specific genetic marker and each branch in the classification tree describes a genetic profile into one or more subgroups, wherein the one or more subgroups are classified based on similarity of medical outcome, and wherein matching a subject's genetic profile to a branch in the classification tree predicts the subject's medical outcome, wherein CART comprises a 10 fold cross-validation and pruning factor of 1 to all unclassified cases to classify the subgroups into the branches of the tree and CART is halted if none of the subgroups identified have a probability of positive or negative response of statistical significance, in which statistical significance is one in which a p-value is ≦0.10.