JSM 2005 - Toronto

Abstract #302595

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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 - #302595
Title: Statistical Methods for Inferring Epigenetic Phenomena Using Gene-expression Data
Author(s): Debashis Ghosh*+
Companies: University of Michigan
Address: School of Public Health, Department of Biostatistics, Ann Arbor, MI, 48109/2029,
Keywords: DNA Copy number ; Gene Expression ; Markov Model ; Scan Statistic ; Segmentation
Abstract:

In cancer, events such as DNA methylation and histone modification play an important role in tumorigenesis. These are known as epigenetic events because they do not involve direct modification of the DNA sequence itself. While we commonly measure transcript mRNA as being on a high-throughput basis using microarray in cancer studies, how to infer epigenetic events from such data remains an elusive task. In this talk, we discuss progress in this area using cancer studies in which both measurements on copy number alterations and gene expression have been made. We study the issue of associations between copy number alterations and gene expression as well as inferring clusters of overexpression in microarray data and their ability to predict chromosomal amplification events. Examples from several cancer studies will be used to illustrate the proposed methodologies.

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Revised March 2005