Designing pharmacogenetic projects in industry: practical design perspectives from the Industry Pharmacogenomics Working Group

C M Bromley, S Close, N Cohen,R Favis,B Fijal, F Gheyas,W Liu,C Lopez-Correa, A Prokop, J B Singer,A Snapir,A Tchelet, D Wang, D Goldstaub

The Pharmacogenomics Journal(2008)

Cited 23|Views6
No score
Abstract
Pharmacogenetic association studies have the potential to identify variations in DNA sequence which impact drug response. Identifying these DNA variants can help to explain interindividual variability in drug response; this is the first step in personalizing dosing and treatment regimes to a patient's needs. There are many intricacies in the design and analysis of pharmacogenetic association studies, including having adequate power, selecting proper endpoints, detecting and correcting the effects of population stratification, modeling genetic and nongenetic covariates accurately, and validating the results. At this point there are no formal guidelines on the design and analysis of pharmacogenetic studies. The Industry Pharmacogenomics Working Group has initiated discussions regarding potential guidelines for pharmacogenetic study design and analyses ( http://i-pwg.org ) and the results from these discussions are presented in this paper.
More
Translated text
Key words
pharmacogenetics,study design,clinical trial,statistical analysis
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined