Identification of Candidate Disease Genes by EST Alignments, Synteny, and Expression and Verification of Ensembl Genes on Rat Chromosome 1q43-54

Ursula Vitt(Incyte (United States)), Darryl Gietzen(Incyte (United States)), Kristian Stevens(Incyte (United States)), Jim Wingrove(Incyte (United States)), Shanya Becha(Incyte (United States)), Sean Bulloch(Incyte (United States)), John Burrill(Incyte (United States)), Narinder Chawla(Incyte (United States)), Jennifer Chien(Incyte (United States)), Matthew E. Crawford(Incyte (United States)), Craig Ison(Incyte (United States)), Liam Kearney(Incyte (United States)), Mary Kwong(Incyte (United States)), Joe Park(Incyte (United States)), Jennifer Policky(Incyte (United States)), Mark Weiler(Incyte (United States)), Renee D. White(Incyte (United States)), Yuming Xu(Incyte (United States)), Sue Daniels(Incyte (United States)), Howard J. Jacob(Medical College of Wisconsin), Michael I. Jensen‐Seaman(Medical College of Wisconsin), Jozef Lazar(Medical College of Wisconsin), Laura L. Stuvé(Incyte (United States)), Jeanette P. Schmidt(Incyte (United States))
Genome Research
April 1, 2004
Cited by 18Open Access
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Abstract

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.


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