RT Journal
A1 Walker, Michael G.
A1 Volkmuth, Wayne
A1 Sprinzak, Einat
A1 Hodgson, David
A1 Klingler, Tod
T1 Prediction of Gene Function by Genome-Scale Expression Analysis: Prostate Cancer-Associated Genes
JF Genome Research 
JO Genome Research 
YR 1999 
FD December 01 
VO 9 
IS 12 
SP 1198 
OP 1203 
DO 10.1101/gr.9.12.1198 
UL http://genome.cshlp.org/content/9/12/1198.abstract 
AB We wish to identify genes associated with disease. To do so, we look for novel genes whose expression patterns mimic those of known disease-associated genes, using a method we call Guilt-by-Association (GBA), on the basis of a combinatoric measure of association. Using GBA, we have examined the expression of 40,000 human genes in 522 cDNA libraries, and have discovered several hundred previously unidentified genes associated with cancer, inflammation, steroid-synthesis, insulin-synthesis, neurotransmitter processing, matrix remodeling, and other disease processes. The majority of the genes thus discovered show no sequence similarity to known genes, and thus could not have been identified by homology searches. We present here an example of the discovery of eight genes associated with prostate cancer. Of the 40,000 most-abundant human genes, these 8 are the most closely linked to the known diagnostic genes, and thus are prime targets for pharmaceutical research.[The sequence data described in this paper have been submitted to the GenBank data library under accession nos.AF109298–AF109303.]