1. The Matchmaker Exchange: A Platform for Rare Disease Gene Discovery
- Author
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Christopher J. Mungall, Nara Sobreira, Melissa A. Haendel, Ganesh J. Swaminathan, Michael Brudno, Peter N. Robinson, Anthony J. Brookes, Kym M. Boycott, Sharon F. Terry, Ada Hamosh, Benedict Paten, Knox Carey, Andriy Misyura, Heidi L. Rehm, Danielle R. Azzariti, Peter E.M. Taschner, Matthew E. Hurles, Johan T. den Dunnen, Catherine A. Brownstein, Richard A. Gibbs, Nicole L. Washington, Michael A. Gonzalez, Cassie Doll, Justin Paschall, Helen V. Firth, Orion J. Buske, Sergiu Dumitriu, Marta Girdea, Ben Hutton, Han G. Brunner, Stephan Züchner, Joel B. Krier, Lijia Huang, Stephanie O.M. Dyke, Anthony A. Philippakis, Sergi Beltran, François Schiettecatte, Ingrid A. Holm, MUMC+: DA Klinische Genetica (5), RS: GROW - Developmental Biology, and RS: GROW - R4 - Reproductive and Perinatal Medicine
- Subjects
IRDiRC ,Clinical Sciences ,Information Dissemination ,rare disease ,Biology ,Bioinformatics ,genomic API ,Article ,World Wide Web ,Databases ,Rare Diseases ,Genetic ,matchmaking ,Databases, Genetic ,Genetics ,Humans ,Genetic Predisposition to Disease ,human ,gene ,genome ,Genetics (clinical) ,Genetic Association Studies ,Pace ,Genetics & Heredity ,Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7] ,Application programming interface ,Serendipity ,Human Genome ,GA4GH ,gene discovery ,sequence ,3. Good health ,Data sharing ,Matchmaker Exchange ,GA4GH, IRDiRC ,Scalability ,Database Management Systems ,Haystack ,Software ,Rare disease - Abstract
Contains fulltext : 152806.pdf (Publisher’s version ) (Open Access) 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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- 2015