| Literature DB >> 15060005 |
Ursula Vitt1, Darryl Gietzen, Kristian Stevens, Jim Wingrove, Shanya Becha, Sean Bulloch, John Burrill, Narinder Chawla, Jennifer Chien, Matthew Crawford, Craig Ison, Liam Kearney, Mary Kwong, Joe Park, Jennifer Policky, Mark Weiler, Renee White, Yuming Xu, Sue Daniels, Howard Jacob, Michael I Jensen-Seaman, Jozef Lazar, Laura Stuve, Jeanette Schmidt.
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.Entities:
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Year: 2004 PMID: 15060005 PMCID: PMC383308 DOI: 10.1101/gr.1932304
Source DB: PubMed Journal: Genome Res ISSN: 1088-9051 Impact factor: 9.043