PhenomeCentral: A Portal for Phenotypic and Genotypic Matchmaking of Patients with Rare Genetic Diseases

Orion J. Buske(Hospital for Sick Children), Marta Gîrdea(University of Toronto), Sergiu Dumitriu(Hospital for Sick Children), Bailey Gallinger(Hospital for Sick Children), Taila Hartley(Children's Hospital of Eastern Ontario), Heather Trang(Hospital for Sick Children), Andriy Misyura(Hospital for Sick Children), Tal Friedman(University of Toronto), Chandree L. Beaulieu(Children's Hospital of Eastern Ontario), William P. Bone(National Institutes of Health), Amanda E. Links(National Institutes of Health), Nicole Washington(Lawrence Berkeley National Laboratory), Melissa Haendel(Oregon Health & Science University), Peter N. Robinson(Charité - Universitätsmedizin Berlin), Cornelius F. Boerkoel(National Institutes of Health), David R. Adams(Office of the Director), William A. Gahl(National Institutes of Health), Kym M. Boycott(Children's Hospital of Eastern Ontario), Michael Brudno(Hospital for Sick Children)
Human Mutation
August 7, 2015
Cited by 131Open Access
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Abstract

The discovery of disease-causing mutations typically requires confirmation of the variant or gene in multiple unrelated individuals, and a large number of rare genetic diseases remain unsolved due to difficulty identifying second families. To enable the secure sharing of case records by clinicians and rare disease scientists, we have developed the PhenomeCentral portal (https://phenomecentral.org). Each record includes a phenotypic description and relevant genetic information (exome or candidate genes). PhenomeCentral identifies similar patients in the database based on semantic similarity between clinical features, automatically prioritized genes from whole-exome data, and candidate genes entered by the users, enabling both hypothesis-free and hypothesis-driven matchmaking. Users can then contact other submitters to follow up on promising matches. PhenomeCentral incorporates data for over 1,000 patients with rare genetic diseases, contributed by the FORGE and Care4Rare Canada projects, the US NIH Undiagnosed Diseases Program, the EU Neuromics and ANDDIrare projects, as well as numerous independent clinicians and scientists. Though the majority of these records have associated exome data, most lack a molecular diagnosis. PhenomeCentral has already been used to identify causative mutations for several patients, and its ability to find matching patients and diagnose these diseases will grow with each additional patient that is entered.


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