@article {625,
	title = {Plain-language medical vocabulary for precision diagnosis.},
	journal = {Nat Genet},
	volume = {50},
	year = {2018},
	month = {2018 Apr},
	pages = {474-476},
	issn = {1546-1718},
	doi = {10.1038/s41588-018-0096-x},
	author = {Vasilevsky, Nicole A and Foster, Erin D and Engelstad, Mark E and Carmody, Leigh and Might, Matt and Chambers, Chip and Dawkins, Hugh J S and Lewis, Janine and Della Rocca, Maria G and Snyder, Michelle and Boerkoel, Cornelius F and Rath, Ana and Terry, Sharon F and Kent, Alastair and Searle, Beverly and Baynam, Gareth and Jones, Erik and Gavin, Pam and Bamshad, Michael and Chong, Jessica and Groza, Tudor and Adams, David and Resnick, Adam C and Heath, Allison P and Mungall, Chris and Holm, Ingrid A and Rageth, Kayli and Brownstein, Catherine A and Shefchek, Kent and McMurry, Julie A and Robinson, Peter N and K{\"o}hler, Sebastian and Haendel, Melissa A}
}
@article {131,
	title = {The Matchmaker Exchange: a platform for rare disease gene discovery.},
	journal = {Hum Mutat},
	volume = {36},
	year = {2015},
	month = {2015 Oct},
	pages = {915-21},
	abstract = {<p>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. </p>},
	keywords = {Database Management Systems, Databases, Genetic, Genetic Association Studies, Genetic Predisposition to Disease, Humans, Information Dissemination, Rare Diseases, Software},
	issn = {1098-1004},
	doi = {10.1002/humu.22858},
	author = {Philippakis, Anthony A and Azzariti, Danielle R and Beltran, Sergi and Brookes, Anthony J and Brownstein, Catherine A and Brudno, Michael and Brunner, Han G and Buske, Orion J and Carey, Knox and Doll, Cassie and Dumitriu, Sergiu and Dyke, Stephanie O M and den Dunnen, Johan T and Firth, Helen V and Gibbs, Richard A and Girdea, Marta and Gonzalez, Michael and Haendel, Melissa A and Hamosh, Ada and Holm, Ingrid A and Huang, Lijia and Hurles, Matthew E and Hutton, Ben and Krier, Joel B and Misyura, Andriy and Mungall, Christopher J and Paschall, Justin and Paten, Benedict and Robinson, Peter N and Schiettecatte, Fran{\c c}ois and Sobreira, Nara L and Swaminathan, Ganesh J and Taschner, Peter E and Terry, Sharon F and Washington, Nicole L and Z{\"u}chner, Stephan and Boycott, Kym M and Rehm, Heidi L}
}
