4.8 Article

PhenoHM: human-mouse comparative phenome-genome server

期刊

NUCLEIC ACIDS RESEARCH
卷 38, 期 -, 页码 W165-W174

出版社

OXFORD UNIV PRESS
DOI: 10.1093/nar/gkq472

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资金

  1. National Institutes of Health/National Institute of Diabetes and Digestive and Kidney Diseases (NIH/NIDDK)
  2. Murine Atlas of a Genitourinary Development Molecular Anatomy Project [1U01 DK70219]
  3. Cincinnati Digestive Health Sciences Center [P30 DK078392]
  4. CTSA: Cincinnati Center for Clinical and Translational Sciences [U54 RR025216]
  5. FACEBASE Consortium [U01DE020049 NIDCR]
  6. CCHMC, Cincinnati, Ohio

向作者/读者索取更多资源

PhenoHM is a human-mouse comparative phenome-genome server that facilitates cross-species identification of genes associated with orthologous phenotypes (http://phenome.cchmc.org; full open access, login not required). Combining and extrapolating the knowledge about the roles of individual gene functions in the determination of phenotype across multiple organisms improves our understanding of gene function in normal and perturbed states and offers the opportunity to complement biologically the rapidly expanding strategies in comparative genomics. The Mammalian Phenotype Ontology (MPO), a structured vocabulary of phenotype terms that leverages observations encompassing the consequences of mouse gene knockout studies, is a principal component of mouse phenotype knowledge source. On the other hand, the Unified Medical Language System (UMLS) is a composite collection of various human-centered biomedical terminologies. In the present study, we mapped terms reciprocally from the MPO to human disease concepts such as clinical findings from the UMLS and clinical phenotypes from the Online Mendelian Inheritance in Man knowledgebase. By cross-mapping mouse-human phenotype terms, extracting implicated genes and extrapolating phenotype-gene associations between species PhenoHM provides a resource that enables rapid identification of genes that trigger similar outcomes in human and mouse and facilitates identification of potentially novel disease causal genes. The PhenoHM server can be accessed freely at http://phenome.cchmc.org.

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