Phenotype-Specific Genomic Network Discovery

• Activity Number: 229
• Type: Topic Contributed
• Date/Time: Monday, August 5, 2013 : 2:00 PM to 3:50 PM
• Sponsor: Biopharmaceutical Section
• Author(s): Cheng Cheng*+
• Companies: St. Jude Children's Research Hospital
• Keywords: Genomic Network ; System Genomics ; Phenotype Driven ; Integrated GWAS ; Permutation Test ; Co-expression

Abstract

Ultra-high dimensionality is an immediate challenge in detection of molecular association networks involving several types of genomic factors, all measured genome-wide. Therefore in practice proper dimension reduction is necessary. In a cancer genomic study there is often a specific biological context defined by one or more phenotypes of interest. Such specific biological context provides an opportunity to perform the biologically meaningful, computationally effective Phenotype-Driven Dimension Reduction (PhDDR). This presentation will describe the development of the PhDDR approach. This approach is illustrated by an application to a genomic association analysis of treatment response of childhood leukemia involving gene expressions and SNPs.