Mapping genes that predict treatment outcome in admixed populations.

ABSTRACT: There is great interest in characterizing the genetic architecture underlying drug response. For many drugs, gene-based dosing models explain a considerable amount of the overall variation in treatment outcome. As such, prescription drug labels are increasingly being modified to contain pharmacogenetic information. Genetic data must, however, be interpreted within the context of relevant clinical covariates. Even the most predictive models improve with the addition of data related to biogeographical ancestry. The current review explores analytical strategies that leverage population structure to more fully characterize genetic determinants of outcome in large clinical practice-based cohorts. The success of this approach will depend upon several key factors: (1) the availability of outcome

SUBMITTER: Baye TM 

PROVIDER: S-EPMC2991422 | biostudies-literature | 2010 Dec

REPOSITORIES: biostudies-literature