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Activity Number:
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200
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Type:
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Contributed
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Date/Time:
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Tuesday, August 10, 2004 : 9:00 AM to 10:50 AM
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Sponsor:
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Biometrics Section
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| Abstract - #300743 |
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Title:
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Meta-analysis Combines Affymetrix Microarray Results Across Laboratories
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Author(s):
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John R. Stevens*+ and Rebecca W. Doerge
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Companies:
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Purdue University and Purdue University
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Address:
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Department of Statistics, West Lafayette, IN, 47907-2067,
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Keywords:
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meta-analysis ; microarray ; Affymetrix
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Abstract:
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With the use of microarray technology becoming more prevalent, it is now not unusual to find several different laboratories employing the same microarray technology to identify genes related to the same condition in the same species. Although the experimental specifics are similar, a different list of significant genes may result from the data analysis in each laboratory. We propose a statistically based meta-analytic approach to microarray analysis for the purpose of systematically combining these results from the different laboratories. This approach provides a clearer view of which genes are significantly related to the condition of interest while simultaneously allowing for differences between laboratories. Of particular interest is the widely used Affymetrix oligonucleotide array, the results of which are naturally suited to a meta-analysis. A simulation model based on the Affymetrix platform is developed to examine the adaptive nature of the meta-analytic approach and to illustrate the usefulness of such an approach in combining microarray results across laboratories.
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