1. A physiogenomics method for predicting an individual's response to the environment comprising: (a) selecting a plurality of genetic markers based on an analysis of the entire human genome or a fraction thereof; (b) identifying significant covariates among demographic data and the other phenotypes by principal component analysis; (c) performing for each selected genetic marker an unadjusted association test using genetic data (d) using permutation testing to obtain a non-parametric and marker complexity probability value for identifying significant genetic markers; and (e) constructing a physiogenomic model by linear regression analyses and model parameterization for the dependence of said patient's response to treatment with respect to said genetic markers; and (f) identifying one or more genes not associated with a particular outcome in said patient to serve as a physiogenomic control.