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Title
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* ! Statistical Methods in Pharmacogenomics
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Date / Time / Room
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Sponsor
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Type
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08/13/2002
2:00 PM -
3:50 PM
Room: H-East Ballroom
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Biometrics Section*, Biopharmaceutical Section*, ENAR
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Invited
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Organizer:
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David Allison, University of Alabama, Birmingham
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Chair:
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Bernard Gorman, Nassau Community College/SUNY and Hofstra University
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Discussant:
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3:20 PM - David Redden, University of Alabama, Birmingham
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Floor Discussion
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3:40 PM
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Description
In what has been called the 'post-genomic era,' clearly one of the greatest challenges and opportunities facing scientists is how to make reliable, effective, and, hopefully, optimal use of the massive amount of data available. The input of creative statisticians to this process is critical. As strongly as anywhere, these opportunities and challenges are manifest in the area of pharmacogenomics. Pharmacogenomics can be defined as the study of genetic factors that may mediate or moderate the phenotypic effects of drugs. Recently, a variety of new tools, both physical and statistical, have become available making pharmacogenomics an area of rapid and exciting developments. In this symposium, we hope to give an overview of this area of investigation by highlighting several different issues and challenges in pharmacogenomics research and the statistical methods available and still requiring development to meet these challenges.
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