STATISTICAL ISSUES IN ANALYSIS OF GENOMIC DATA

CHINDO  HICKS
UC Davis School of Medicine

ABSTRACT

The promise of gene expression studies using microarray technology has inspired much new hope for finding complex disease genes. It has become clear that complex diseases result from collective actions of many genetic and nongenetic factors. Therefore, genetic dissection of complex diseases should be carried out in a global context. The technology of gene expression microarray analysis can provide such global information on transcription activities of essentially all genes simultaneously. However, the huge volumes of data produced by microarray technology pose serious challenges in terms of the statistical methodologies needed. Extensive work is needed in order to respond to the challenges before one can fully utilize the potential power provided by gene expression microarray analysis. This talk will focus on planning and analysis strategies in gene expression microarray analysis to identify disease genes. Examples of analyzed data and methods of analysis used will be presented.