%0 Journal Article %J Hum Mutat %D 2015 %T The Matchmaker Exchange: a platform for rare disease gene discovery. %A Philippakis, Anthony A %A Azzariti, Danielle R %A Beltran, Sergi %A Brookes, Anthony J %A Brownstein, Catherine A %A Brudno, Michael %A Brunner, Han G %A Buske, Orion J %A Carey, Knox %A Doll, Cassie %A Dumitriu, Sergiu %A Dyke, Stephanie O M %A den Dunnen, Johan T %A Firth, Helen V %A Gibbs, Richard A %A Girdea, Marta %A Gonzalez, Michael %A Haendel, Melissa A %A Hamosh, Ada %A Holm, Ingrid A %A Huang, Lijia %A Hurles, Matthew E %A Hutton, Ben %A Krier, Joel B %A Misyura, Andriy %A Mungall, Christopher J %A Paschall, Justin %A Paten, Benedict %A Robinson, Peter N %A Schiettecatte, François %A Sobreira, Nara L %A Swaminathan, Ganesh J %A Taschner, Peter E %A Terry, Sharon F %A Washington, Nicole L %A Züchner, Stephan %A Boycott, Kym M %A Rehm, Heidi L %K Database Management Systems %K Databases, Genetic %K Genetic Association Studies %K Genetic Predisposition to Disease %K Humans %K Information Dissemination %K Rare Diseases %K Software %X

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.

%B Hum Mutat %V 36 %P 915-21 %8 2015 Oct %G eng %N 10 %1 https://www.ncbi.nlm.nih.gov/pubmed/26295439?dopt=Abstract %R 10.1002/humu.22858 %0 Journal Article %J Nature %D 2009 %T Prepublication data sharing. %A Birney, Ewan %A Hudson, Thomas J %A Green, Eric D %A Gunter, Chris %A Eddy, Sean %A Rogers, Jane %A Harris, Jennifer R %A Ehrlich, S Dusko %A Apweiler, Rolf %A Austin, Christopher P %A Berglund, Lisa %A Bobrow, Martin %A Bountra, Chas %A Brookes, Anthony J %A Cambon-Thomsen, Anne %A Carter, Nigel P %A Chisholm, Rex L %A Contreras, Jorge L %A Cooke, Robert M %A Crosby, William L %A Dewar, Ken %A Durbin, Richard %A Dyke, Stephanie O M %A Ecker, Joseph R %A El Emam, Khaled %A Feuk, Lars %A Gabriel, Stacey B %A Gallacher, John %A Gelbart, William M %A Granell, Antoni %A Guarner, Francisco %A Hubbard, Tim %A Jackson, Scott A %A Jennings, Jennifer L %A Joly, Yann %A Jones, Steven M %A Kaye, Jane %A Kennedy, Karen L %A Knoppers, Bartha Maria %A Kyrpides, Nikos C %A Lowrance, William W %A Luo, Jingchu %A MacKay, John J %A Martín-Rivera, Luis %A McCombie, W Richard %A McPherson, John D %A Miller, Linda %A Miller, Webb %A Moerman, Don %A Mooser, Vincent %A Morton, Cynthia C %A Ostell, James M %A Ouellette, B F Francis %A Parkhill, Julian %A Raina, Parminder S %A Rawlings, Christopher %A Scherer, Steven E %A Scherer, Stephen W %A Schofield, Paul N %A Sensen, Christoph W %A Stodden, Victoria C %A Sussman, Michael R %A Tanaka, Toshihiro %A Thornton, Janet %A Tsunoda, Tatsuhiko %A Valle, David %A Vuorio, Eero I %A Walker, Neil M %A Wallace, Susan %A Weinstock, George %A Whitman, William B %A Worley, Kim C %A Wu, Cathy %A Wu, Jiayan %A Yu, Jun %K Access to Information %K Cooperative Behavior %K Guidelines as Topic %K Human Genome Project %K Humans %K Ontario %K Publishing %K Research %K Research Personnel %X

Rapid release of prepublication data has served the field of genomics well. Attendees at a workshop in Toronto recommend extending the practice to other biological data sets.

%B Nature %V 461 %P 168-70 %8 2009 Sep 10 %G eng %N 7261 %1 https://www.ncbi.nlm.nih.gov/pubmed/19741685?dopt=Abstract %R 10.1038/461168a