JSM 2005 - Toronto

Abstract #303957

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Activity Number: 74
Type: Contributed
Date/Time: Sunday, August 7, 2005 : 8:00 PM to 9:50 PM
Sponsor: Biometrics Section
Abstract - #303957
Title: Constructing Gene Expression-based Diagnostic Rules for Understanding Individualized Etiology of Complex Diseases
Author(s): Zhong Gao*+
Companies: Johns Hopkins University
Address: Clark 201 Johns Hopkins Univ, Baltimore, MD, 21218, United States
Keywords:
Abstract:

Gene expression profiling has the potential to improve individualized etiology diagnosis. A statistical approach is introduced to construct patient-specific rules for individualized diagnosis based on gene expression profiles. The method has a dual function of discovering new disease classes/subclasses and constructing patient-specific diagnostic rules without prior knowledge of class distinction. The diagnostic rule consists of two components: diagnostic gene expression pattern that suggests a critical etiological condition associated with a disease category and patient-specific correlations to the diagnostic pattern. The method is applied to construct the diagnostic rule for heart failure by which the heart failure etiology has been successfully discerned with gene expression profiles. The diagnostic rule for two potential heart failure subclasses has been constructed to further classify heart failure patients and exploit related molecular pathogenesis. Furthermore, the diagnostic gene expression patterns reveal molecular mechanisms relevant to heart failure and facilitate biomarker identification.

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Revised March 2005