TY - JOUR
T1 - Delivering systems pharmacogenomics towards precision medicine through mathematics
AU - Wang, Yaqun
AU - Wang, Ningtao
AU - Wang, Jianxin
AU - Wang, Zhong
AU - Wu, Rongling
N1 - Funding Information:
This publication was supported by UL1 TR000127 from the National Center for Advancing Translational Sciences (NCATS) . Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the NIH.
PY - 2013/6/30
Y1 - 2013/6/30
N2 - The latest developments of pharmacology in the post-genomic era foster the emergence of new biomarkers that represent the future of drug targets. To identify these biomarkers, we need a major shift from traditional genomic analyses alone, moving the focus towards systems approaches to elucidating genetic variation in biochemical pathways of drug response. Is there any general model that can accelerate this shift via a merger of systems biology and pharmacogenomics? Here we describe a statistical framework for mapping dynamic genes that affect drug response by incorporating its pharmacokinetic and pharmacodynamic pathways. This framework is expanded to shed light on the mechanistic and therapeutic differences of drug response based on pharmacogenetic information, coupled with genomic, proteomic and metabolic data, allowing novel therapeutic targets and genetic biomarkers to be characterized and utilized for drug discovery.
AB - The latest developments of pharmacology in the post-genomic era foster the emergence of new biomarkers that represent the future of drug targets. To identify these biomarkers, we need a major shift from traditional genomic analyses alone, moving the focus towards systems approaches to elucidating genetic variation in biochemical pathways of drug response. Is there any general model that can accelerate this shift via a merger of systems biology and pharmacogenomics? Here we describe a statistical framework for mapping dynamic genes that affect drug response by incorporating its pharmacokinetic and pharmacodynamic pathways. This framework is expanded to shed light on the mechanistic and therapeutic differences of drug response based on pharmacogenetic information, coupled with genomic, proteomic and metabolic data, allowing novel therapeutic targets and genetic biomarkers to be characterized and utilized for drug discovery.
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U2 - 10.1016/j.addr.2013.03.002
DO - 10.1016/j.addr.2013.03.002
M3 - Review article
C2 - 23523629
AN - SCOPUS:84879551759
SN - 0169-409X
VL - 65
SP - 905
EP - 911
JO - Advanced Drug Delivery Reviews
JF - Advanced Drug Delivery Reviews
IS - 7
ER -