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The Matchmaker Exchange: a platform for rare disease gene discovery.


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.

SUBMITTER: Philippakis AA 

PROVIDER: S-EPMC4610002 | biostudies-literature | 2015 Oct

REPOSITORIES: biostudies-literature

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The Matchmaker Exchange: a platform for rare disease gene discovery.

Philippakis Anthony A AA   Azzariti Danielle R DR   Beltran Sergi S   Brookes Anthony J AJ   Brownstein Catherine A CA   Brudno Michael M   Brunner Han G HG   Buske Orion J OJ   Carey Knox K   Doll Cassie C   Dumitriu Sergiu S   Dyke Stephanie O M SO   den Dunnen Johan T JT   Firth Helen V HV   Gibbs Richard A RA   Girdea Marta M   Gonzalez Michael M   Haendel Melissa A MA   Hamosh Ada A   Holm Ingrid A IA   Huang Lijia L   Hurles Matthew E ME   Hutton Ben B   Krier Joel B JB   Misyura Andriy A   Mungall Christopher J CJ   Paschall Justin J   Paten Benedict B   Robinson Peter N PN   Schiettecatte François F   Sobreira Nara L NL   Swaminathan Ganesh J GJ   Taschner Peter E PE   Terry Sharon F SF   Washington Nicole L NL   Züchner Stephan S   Boycott Kym M KM   Rehm Heidi L HL  

Human mutation 20151001 10


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  ...[more]

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