title: OrthoDisease: a database of human disease orthologs.
abstract: One of the greatest promises of genome sequencing projects is to further the understanding of human diseases and to develop new therapies. Model organism genomes have been sequenced in parallel to human genomes to provide effective tools for the investigation of human gene function. Many of their genes share a common ancestry and function with human genes, and this is particularly true for orthologous genes. Here we present OrthoDisease, a comprehensive database of model organism genes that are orthologous to human disease genes. OrthoDisease was constructed by applying the Inparanoid ortholog detection algorithm to disease genes derived from the Online Mendelian Inheritance in Man database (OMIM). Pairwise whole genome/proteome comparisons between Homo sapiens and six other organisms were performed to identify ortholog clusters. OMIM numbers were extracted from the OMIM Morbid Map and were converted to gene sequences using the Locuslink mim2loc and loc2acc tables. These were mapped to Inparanoid ortholog clusters using Blast. The number of ortholog clusters in OrthoDisease with each respective species is currently: M. musculus, 1,354; D. melanogaster, 724; C. elegans, 533; A. thaliana, 398; S. cerevisiae, 290; and E. coli, 153. The database is accessible online at http://orthodisease.cgb.ki.se, and can be searched with disease or protein names. The web interface presents all ortholog clusters that include a selected disease gene. A capability to download the entire dataset is also provided.
authors.affiliation: Center for Genomics and Bioinformatics, Karolinska Institutet, Stockholm, Sweden. kevobr@mbox.ki.se
authors.forename: Kevin P
authors.initials: KP
authors.lastname: O'Brien
authors.forename: Isabelle
authors.initials: I
authors.lastname: Westerlund
authors.forename: Erik L L
authors.initials: EL
authors.lastname: Sonnhammer
mesh_terms: D000818:Animals; D017360:Arabidopsis / Q000235:genetics; D017173:Caenorhabditis elegans / Q000235:genetics; D016000:Cluster Analysis; D030541:Databases, Genetic / Q000706:statistics & numerical data / Q000639:trends*; D004195:Disease Models, Animal; D004331:Drosophila melanogaster / Q000235:genetics; D004926:Escherichia coli / Q000235:genetics; D019143:Evolution, Molecular; D030342:Genetic Diseases, Inborn / Q000235:genetics; D016678:Genome; D016680:Genome, Bacterial; D016681:Genome, Fungal; D015894:Genome, Human; D018745:Genome, Plant; D006801:Humans; D051379:Mice; D020543:Proteome / Q000235:genetics; D012441:Saccharomyces cerevisiae / Q000235:genetics; D012985:Software Design
chemical_list: D020543:Proteome