期刊
HUMAN MUTATION
卷 33, 期 5, 页码 858-866出版社
WILEY
DOI: 10.1002/humu.22051
关键词
phenotype; candidate disease genes; model organism; mouse
资金
- Office of Science, Office of Basic Energy Sciences, U.S. Department of Energy [DE-AC02-05CH11231]
- NIH [HG004838-02]
Mouse phenotype data represents a valuable resource for the identification of disease-associated genes, especially where the molecular basis is unknown and there is no clue to the candidate gene's function, pathway involvement or expression pattern. However, until recently these data have not been systematically used due to difficulties in mapping between clinical features observed in humans and mouse phenotype annotations. Here, we describe a semantic approach to solve this problem and demonstrate highly significant recall of known disease-gene associations and orthology relationships. A Web application (MouseFinder; www.mousemodels.org) has been developed to allow users to search the results of our whole-phenome comparison of human and mouse. We demonstrate its use in identifying ARTN as a strong candidate gene within the 1p34.1-p32 mapped locus for a hereditary form of ptosis. Hum Mutat 33: 858-866, 2012. (C) 2012 Wiley Periodicals, Inc.
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