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Health Informatics Journal
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Finding Genes Contributing to the Arthritis Phenotype by Comparing Rat and Human Genome Data

Lars Andersson

Department of Cell and Molecular Biology–Genetics, Göteborg University, Box 462, SE 405 30 Göteborg, Sweden

Greta Petersen

Department of Cell and Molecular Biology–Genetics, Göteborg University, Box 462, SE 405 30 Göteborg, Sweden

Per Johnson

Department of Cell and Molecular Biology–Genetics, Göteborg University, Box 462, SE 405 30 Göteborg, Sweden

Fredrik StÂhl

School of Health Sciences, University College of BorÂs, 501 90 BorÂs, SwedenFredrik.Stahl{at}hb.se

Published quantitative trait locus (QTL) data, as well as all known rat genes and DNA markers, have since 1993 been collected and made easily accessible at the rat genome database, RatMap. The objective of the present study is to fully integrate available data concerning rat models with human genome information. The final goal of this process is to make results from any rat model experiment directly applicable to humans. The overall goal of this work is to create an automatic system which, for any given rat chromosomal region associated with a QTL, will characterize both mapped rat genes and all putative homologous human genes in that region. This article reports the use of the web application to find human gene candidates contributing to an arthritis phenotype.

Key Words: arthritis • automatic system • human genome • rat genome • RatMap

Health Informatics Journal, Vol. 10, No. 1, 71-75 (2004)
DOI: 10.1177/1460458204040670
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