JSM 2005 - Toronto

Abstract #302501

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 246
Type: Invited
Date/Time: Tuesday, August 9, 2005 : 10:30 AM to 12:20 PM
Sponsor: WNAR
Abstract - #302501
Title: Comparing Expression Responses in a Model System to Natural Covariation in Gene Expression
Author(s): Kerby Shedden*+
Companies: University of Michigan
Address: 439 West Hall, Ann Arbor, MI, 48109-1092, United States
Keywords: Gene expression ; microarray
Abstract:

In cancer research, model systems often are used to identify genes downstream of some genetic signal rendered inducible in the model. A natural follow-up question is whether natural variation of the signal in a less artificial context continues to be correlated with expression of the putative downstream targets. Approaches to this problem ignoring gene/gene correlations common to all microarray datasets are known to give overstated confidence levels. Permutation approaches may provide accurate confidence levels, but cannot be applied when sample sizes are small. In this talk, I will discuss a simple statistic for assessing whether uncontrolled covariation between a signal and its targets is consistent with results found in a model system where the signal is experimentally controlled. A key advantage of this approach is that confidence levels accounting for intergene correlations depend only on the mean of squared population correlation coefficients between gene pairs in the dataset. This quantity can be estimated even for small experiments without resorting to permutation.

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