Unknown

Dataset Information

A conceptual framework for pharmacodynamic genome-wide association studies in pharmacogenomics.


ABSTRACT: Genome-wide association studies (GWAS) have emerged as a powerful tool to identify loci that affect drug response or susceptibility to adverse drug reactions. However, current GWAS based on a simple analysis of associations between genotype and phenotype ignores the biochemical reactions of drug response, thus limiting the scope of inference about its genetic architecture. To facilitate the inference of GWAS in pharmacogenomics, we sought to undertake the mathematical integration of the pharmacodynamic (PD) process of drug reactions through computational models. By estimating and testing the genetic control of PD and pharmacokinetic (PK) parameters, this mechanistic approach does not only enhance the biological and clinical relevance of significant genetic associations, but also improve th

SUBMITTER: Wu R 

PROVIDER: S-EPMC4029408 | biostudies-literature | 2011 Oct

REPOSITORIES: biostudies-literature