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SYNOPSIS: PhenoDB is a web-based tool developed for the collection, storage and analysis of phenotype data, as well as interpretation of exome and genome data in the context of phenotype data. It has it own taxonomy and links to OMIM for disease terms. There is a single center version that allow identifiers and includes only the phenotype and analysis module (http://phenodb.org) and a tool for larger studies that also includes a sample module and an ELSI module for storage and review of consents (http://researchphenodb.net). Both are freely available for download; http://phenodb.org can be used by individual users to try it out (it is toggled to have only deidentified data). PhenoDB has been in use for the Baylor-Hopkins Center for Mendelian Genomics since March 2012 and holds information on over 5000 individuals from ~3000 families. It has proved efficient and effective in novel disease gene discovery. It can also be used for a laboratory or clinic. |
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Dr. Hamosh has authored over 70 papers and serves on several international committees representing genome-phenome relationships, as well as phenotype ontologies, including the International Rare Disease Research Consortium, the Human Variome Project, the ClinGen Project, Global Alliance for Genomic Health, and the Human Genome Organization.
Dr. Nara Sobreira is an M.D. clinical geneticist, board certified in Brazil and Board eligible in the U.S. She completed her Ph.D. in Human Genetics at Johns Hopkins in the laboratory of Dr. David Valle. While working on her Ph.D. and completing a medical genetics residency at Johns Hopkins, she has worked a science writer with OMIM since 2009 and will become the Deputy Scientific Director for Phenotypes for OMIM in July 2015, when she joins the faculty of Johns Hopkins McKusick-Nathans School of Medicine. Since 2011, Dr. Sobreira has also been part of the Baylor-Hopkins Center for Mendelian Genomics (BHCMG) team as part of the Phenotype Review Committee and Analysis Committee with a key role in variant discovery/confirmation.
SUMMARY:
Topic: PhenoDB: A Tool for Collection and Analysis of Phenotypic and Genomic Data
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