Gene expression microarray analysis to identify differences in prostate tumors correlating with ethnic background

Presented January 22, 2008 by Peter Roberts, Ph.D.

It has been recognized that there is marked variation in prostate cancer incidence and mortality between different ethnic groups. This presentation is an analysis of data from the Gene Expression Omnibus (GEO), accession GSE6956. The data is from paired and unpaired normal and tumor tissues derived from prostates of either African American or Caucasian men. The samples were analyzed using Affymetrix U133 plus 2 human whole genome GeneChips. Differences in gene expression profiles between the two groups will be identified using t tests, ANOVA and false discovery rate (FDR) corrections. Additional analysis will identify pathways and biological functions that may be involved in the clinical differences between the two groups.

The GeneSifter Data Center is an online resource providing access to diverse sets of microarray data, supplemented with side-by-side tutorials. The site already contains a number of data sets from previous webinars focused on other fields of study. It is free for examination and use, and requires only brief registration at www.genesifter.com/dc.