Stochastic Modeling of Systems Mapping in Pharmacogenomics

• Activity Number: 246
• Type: Contributed
• Date/Time: Monday, August 5, 2013 : 2:00 PM to 3:50 PM
• Sponsor: Section on Statistics in Epidemiology
• Author(s): Zuoheng Wang*+ and Jiangtao Luo and Guifang Fu and Zhong Wang and Rongling Wu
• Companies: Yale University and University of Nebraska Medical Center and Utah State University and Yale University and Pennsylvania State University
• Keywords: Stochastic differential equation ; PK ; PD ; genetic architecture ; drug response

Abstract

As a basis of personalized medicine, pharmacogenetics and pharmacogenomics that aim to study the genetic architecture of drug response critically rely on dynamic modeling of how a drug is absorbed and transported to target tissues where the drug interacts with body molecules to produce drug effects. Systems mapping provides a general framework for integrating systems pharmacology and pharmacogenomics through robust ordinary differential equations. We extend systems mapping to more complex and more heterogeneous structure of drug response by implementing stochastic differential equations (SDE). We argue that SDE-implemented systems mapping provides a computational tool for pharmacogenetic or pharmacogenomic research towards personalized medicine.