RT Journal
A1 Vitt, Ursula
A1 Gietzen, Darryl
A1 Stevens, Kristian
A1 Wingrove, Jim
A1 Becha, Shanya
A1 Bulloch, Sean
A1 Burrill, John
A1 Chawla, Narinder
A1 Chien, Jennifer
A1 Crawford, Matthew
A1 Ison, Craig
A1 Kearney, Liam
A1 Kwong, Mary
A1 Park, Joe
A1 Policky, Jennifer
A1 Weiler, Mark
A1 White, Renee
A1 Xu, Yuming
A1 Daniels, Sue
A1 Jacob, Howard
A1 Jensen-Seaman, Michael I.
A1 Lazar, Jozef
A1 Stuve, Laura
A1 Schmidt, Jeanette
T1 Identification of Candidate Disease Genes by EST Alignments, Synteny, and Expression and Verification of Ensembl Genes on Rat Chromosome 1q43-54
JF Genome Research 
JO Genome Research 
YR 2004 
FD April 01 
VO 14 
IS 4 
SP 640 
OP 650 
DO 10.1101/gr.1932304 
UL http://genome.cshlp.org/content/14/4/640.abstract 
AB We aligned Incyte ESTs and publicly available sequences to the rat genome and analyzed rat chromosome 1q43-54, a region in which several quantitative trait loci (QTLs) have been identified, including renal disease, diabetes, hypertension, body weight, and encephalomyelitis. Within this region, which contains 255 Ensembl gene predictions, the aligned sequences clustered into 568 Incyte genes and gene fragments. Of the Incyte genes, 261 (46%) overlapped 184 (72%) of the Ensembl gene predictions, whereas 307 were unique to Incyte. The rat-to-human syntenic map displays rearrangement of this region on rat chr. 1 onto human chromosomes 9 and 10. The mapping of corresponding human disease phenotypes to either one of these chromosomes has allowed us to focus in on genes associated with disease phenotypes. As an example, we have used the syntenic information for the rat Rf-1 disease region and the orthologous human ESRD disease region to reduce the size of the original rat QTL to only 11.5 Mb. Using the syntenic information in combination with expression data from ESTs and microarrays, we have selected a set of 66 candidate disease genes for Rf-1. The combination of the results from these different analyses represents a powerful approach for narrowing the number of genes that could play a role in the development of complex diseases.