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Activity Number:
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39
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Type:
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Invited
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Date/Time:
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Sunday, August 6, 2006 : 4:00 PM to 5:50 PM
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Sponsor:
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ASA, Puget Sound Chapter
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| Abstract - #304995 |
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Title:
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Statistical Methods for Integrating High-Dimensional Genotype, Molecular Profiling, and Clinical Data To Elucidate Human Disease
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Author(s):
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Eric Schadt*+
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Companies:
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Rosetta Inpharmatics LLC/Merck Research Laboratories
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Address:
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, Seattle, WA, 98109,
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Keywords:
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genetics ; gene expression ; integrative genomics ; gene networks
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Abstract:
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The development of statistical methods focused on the analysis of genetic or molecular profiling data has been extensive in the last 10 years. A number of recent studies have demonstrated the power of integrating genotypic, molecular profiling and clinical data to elucidate human disease and drug response and have resulted in the identification of a number of genes and gene networks associated with these complex traits. Underlying these integrative genomics approaches are a number of fairly simple statistical procedures that simultaneously consider orthogonal data from a number of sources. We describe these novel approaches that take a more holistic view of biological systems (versus a reductionist view), characterize the extent of discovery resulting from their application, and discuss ways to enhance the statistical methods to achieve even greater power in such studies.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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