The Autoimmune Disease Database: a dynamically compiled literature-derived database |
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| Authors: | Thomas Karopka Juliane Fluck Heinz-Theodor Mevissen Änne Glass |
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| Institution: | (1) Institute for Medical Informatics and Biometry, University of Rostock, Rembrandt-Str. 16/17, 18055 Rostock, Germany;(2) Department of Bioinformatics, Schloss Birlinghoven, Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), D-53754 Sankt Augustin, Germany |
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| Abstract: | Background Autoimmune diseases are disorders caused by an immune response directed against the body's own organs, tissues and cells.
In practice more than 80 clinically distinct diseases, among them systemic lupus erythematosus and rheumatoid arthritis, are
classified as autoimmune diseases. Although their etiology is unclear these diseases share certain similarities at the molecular
level i.e. susceptibility regions on the chromosomes or the involvement of common genes. To gain an overview of these related
diseases it is not feasible to do a literary review but it requires methods of automated analyses of the more than 500,000
Medline documents related to autoimmune disorders. |
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