The Matchmaker Exchange: A Platform for Rare Disease Gene Discovery

Anthony Philippakis(Broad Institute), Danielle R. Azzariti(Mass General Brigham), Sergi Beltrán(Centro Nacional de Análisis Genómico), Anthony J. Brookes(University of Leicester), Catherine A. Brownstein(Boston Children's Hospital), Michael Brudno(Hospital for Sick Children), Han G. Brunner(Maastricht University Medical Centre), Orion J. Buske(Hospital for Sick Children), Knox Carey(Cloud Computing Center), Cassie Doll(Google (United States)), Sergiu Dumitriu(Hospital for Sick Children), Stephanie O. M. Dyke(McGill University and Génome Québec Innovation Centre), Johan T. den Dunnen(Leiden University Medical Center), Helen V. Firth(Cambridge University Hospitals NHS Foundation Trust), Richard A. Gibbs(Baylor Genetics), Marta Gîrdea(Hospital for Sick Children), Michael Gonzalez(Genesis Research Institute), Melissa Haendel(Oregon Health & Science University), Ada Hamosh(Johns Hopkins University), Ingrid A. Holm(Dana-Farber/Boston Children's Cancer and Blood Disorders Center), Lijia Huang(Children's Hospital of Eastern Ontario), Matthew E. Hurles(Wellcome Sanger Institute), Ben Hutton(Wellcome Sanger Institute), Joel B. Krier(Brigham and Women's Hospital), Andriy Misyura(Hospital for Sick Children), Chris Mungall(Lawrence Berkeley National Laboratory), Justin Paschall(Wellcome Trust), Benedict Paten(University of California, Santa Cruz), Peter N. Robinson(Berlin-Brandenburger Centrum für Regenerative Therapien), François Schiettecatte, Nara Sobreira(Johns Hopkins University), G. Jawahar Swaminathan(Wellcome Sanger Institute), Peter E.M. Taschner(University of Applied Sciences Leiden), Sharon F. Terry(Genetic Alliance), Nicole Washington(Brigham and Women's Hospital), Stephan Züchner(University of Miami), Kym M. Boycott(Children's Hospital of Eastern Ontario), Heidi L. Rehm(Harvard University)
Human Mutation
August 13, 2015
Cited by 487Open Access
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Abstract

There are few better examples of the need for data sharing than in the rare disease community, where patients, physicians, and researchers must search for "the needle in a haystack" to uncover rare, novel causes of disease within the genome. Impeding the pace of discovery has been the existence of many small siloed datasets within individual research or clinical laboratory databases and/or disease-specific organizations, hoping for serendipitous occasions when two distant investigators happen to learn they have a rare phenotype in common and can "match" these cases to build evidence for causality. However, serendipity has never proven to be a reliable or scalable approach in science. As such, the Matchmaker Exchange (MME) was launched to provide a robust and systematic approach to rare disease gene discovery through the creation of a federated network connecting databases of genotypes and rare phenotypes using a common application programming interface (API). The core building blocks of the MME have been defined and assembled. Three MME services have now been connected through the API and are available for community use. Additional databases that support internal matching are anticipated to join the MME network as it continues to grow.


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