Literature DB >> 26295439

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

Anthony A Philippakis1,2,3, Danielle R Azzariti4, Sergi Beltran5, Anthony J Brookes6, Catherine A Brownstein3,7, Michael Brudno8,9,10, Han G Brunner11,12, Orion J Buske8,9,10, Knox Carey13, Cassie Doll14, Sergiu Dumitriu10, Stephanie O M Dyke15, Johan T den Dunnen16, Helen V Firth17, Richard A Gibbs18, Marta Girdea8,10, Michael Gonzalez19, Melissa A Haendel20, Ada Hamosh21, Ingrid A Holm3,7, Lijia Huang22, Matthew E Hurles23, Ben Hutton23, Joel B Krier3,24, Andriy Misyura10, Christopher J Mungall25, Justin Paschall26, Benedict Paten27, Peter N Robinson28,29,30,31, François Schiettecatte32, Nara L Sobreira21, Ganesh J Swaminathan23, Peter E Taschner16,33, Sharon F Terry34, Nicole L Washington2, Stephan Züchner35, Kym M Boycott36, Heidi L Rehm1,3,4,37.   

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.
© 2015 WILEY PERIODICALS, INC.

Entities:  

Keywords:  GA4GH, IRDiRC; Matchmaker Exchange; gene discovery; genomic API; matchmaking; rare disease

Mesh:

Year:  2015        PMID: 26295439      PMCID: PMC4610002          DOI: 10.1002/humu.22858

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  26 in total

1.  Cafe Variome: general-purpose software for making genotype-phenotype data discoverable in restricted or open access contexts.

Authors:  Owen Lancaster; Tim Beck; David Atlan; Morris Swertz; Dhiwagaran Thangavelu; Colin Veal; Raymond Dalgleish; Anthony J Brookes
Journal:  Hum Mutat       Date:  2015-08-25       Impact factor: 4.878

2.  PhenomeCentral: a portal for phenotypic and genotypic matchmaking of patients with rare genetic diseases.

Authors:  Orion J Buske; Marta Girdea; Sergiu Dumitriu; Bailey Gallinger; Taila Hartley; Heather Trang; Andriy Misyura; Tal Friedman; Chandree Beaulieu; William P Bone; Amanda E Links; Nicole L Washington; Melissa A Haendel; Peter N Robinson; Cornelius F Boerkoel; David Adams; William A Gahl; Kym M Boycott; Michael Brudno
Journal:  Hum Mutat       Date:  2015-08-31       Impact factor: 4.878

3.  Novel COL2A1 variant (c.619G>A, p.Gly207Arg) manifesting as a phenotype similar to progressive pseudorheumatoid dysplasia and spondyloepiphyseal dysplasia, Stanescu type.

Authors:  Julie Jurgens; Nara Sobreira; Peggy Modaff; Catherine A Reiser; Soo Hyun Seo; Moon-Woo Seong; Sung Sup Park; Ok Hwa Kim; Tae-Joon Cho; Richard M Pauli
Journal:  Hum Mutat       Date:  2015-08-06       Impact factor: 4.878

4.  Effective diagnosis of genetic disease by computational phenotype analysis of the disease-associated genome.

Authors:  Tomasz Zemojtel; Sebastian Köhler; Luisa Mackenroth; Marten Jäger; Jochen Hecht; Peter Krawitz; Luitgard Graul-Neumann; Sandra Doelken; Nadja Ehmke; Malte Spielmann; Nancy Christine Oien; Michal R Schweiger; Ulrike Krüger; Götz Frommer; Björn Fischer; Uwe Kornak; Ricarda Flöttmann; Amin Ardeshirdavani; Yves Moreau; Suzanna E Lewis; Melissa Haendel; Damian Smedley; Denise Horn; Stefan Mundlos; Peter N Robinson
Journal:  Sci Transl Med       Date:  2014-09-03       Impact factor: 17.956

5.  Mitigating false-positive associations in rare disease gene discovery.

Authors:  Sebastian Akle; Sung Chun; Daniel M Jordan; Christopher A Cassa
Journal:  Hum Mutat       Date:  2015-10       Impact factor: 4.878

6.  PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene-disease associations.

Authors:  Joshua C Denny; Marylyn D Ritchie; Melissa A Basford; Jill M Pulley; Lisa Bastarache; Kristin Brown-Gentry; Deede Wang; Dan R Masys; Dan M Roden; Dana C Crawford
Journal:  Bioinformatics       Date:  2010-03-24       Impact factor: 6.937

Review 7.  DECIPHER: web-based, community resource for clinical interpretation of rare variants in developmental disorders.

Authors:  Ganesh J Swaminathan; Eugene Bragin; Eleni A Chatzimichali; Manuel Corpas; A Paul Bevan; Caroline F Wright; Nigel P Carter; Matthew E Hurles; Helen V Firth
Journal:  Hum Mol Genet       Date:  2012-09-08       Impact factor: 6.150

8.  Data sharing in the undiagnosed diseases network.

Authors:  Catherine A Brownstein; Ingrid A Holm; Rachel Ramoni; David B Goldstein
Journal:  Hum Mutat       Date:  2015-08-27       Impact factor: 4.878

9.  GeneMatcher: a matching tool for connecting investigators with an interest in the same gene.

Authors:  Nara Sobreira; François Schiettecatte; David Valle; Ada Hamosh
Journal:  Hum Mutat       Date:  2015-08-13       Impact factor: 4.878

10.  Facilitating collaboration in rare genetic disorders through effective matchmaking in DECIPHER.

Authors:  Eleni A Chatzimichali; Simon Brent; Benjamin Hutton; Daniel Perrett; Caroline F Wright; Andrew P Bevan; Matthew E Hurles; Helen V Firth; Ganesh J Swaminathan
Journal:  Hum Mutat       Date:  2015-08-20       Impact factor: 4.878

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  197 in total

Review 1.  Human genotype-phenotype databases: aims, challenges and opportunities.

Authors:  Anthony J Brookes; Peter N Robinson
Journal:  Nat Rev Genet       Date:  2015-11-10       Impact factor: 53.242

2.  PhenomeCentral: a portal for phenotypic and genotypic matchmaking of patients with rare genetic diseases.

Authors:  Orion J Buske; Marta Girdea; Sergiu Dumitriu; Bailey Gallinger; Taila Hartley; Heather Trang; Andriy Misyura; Tal Friedman; Chandree Beaulieu; William P Bone; Amanda E Links; Nicole L Washington; Melissa A Haendel; Peter N Robinson; Cornelius F Boerkoel; David Adams; William A Gahl; Kym M Boycott; Michael Brudno
Journal:  Hum Mutat       Date:  2015-08-31       Impact factor: 4.878

3.  The Matchmaker Exchange API: automating patient matching through the exchange of structured phenotypic and genotypic profiles.

Authors:  Orion J Buske; François Schiettecatte; Benjamin Hutton; Sergiu Dumitriu; Andriy Misyura; Lijia Huang; Taila Hartley; Marta Girdea; Nara Sobreira; Chris Mungall; Michael Brudno
Journal:  Hum Mutat       Date:  2015-10       Impact factor: 4.878

4.  The Undiagnosed Diseases Network: Accelerating Discovery about Health and Disease.

Authors:  Rachel B Ramoni; John J Mulvihill; David R Adams; Patrick Allard; Euan A Ashley; Jonathan A Bernstein; William A Gahl; Rizwan Hamid; Joseph Loscalzo; Alexa T McCray; Vandana Shashi; Cynthia J Tifft; Anastasia L Wise
Journal:  Am J Hum Genet       Date:  2017-02-02       Impact factor: 11.025

Review 5.  Progress Toward Cancer Data Ecosystems.

Authors:  Robert L Grossman
Journal:  Cancer J       Date:  2018 May/Jun       Impact factor: 3.360

6.  Realizing Our Potential in Biobanking: Disease Advocacy Organizations Enliven Translational Research.

Authors:  Kelly A Edwards; Sharon F Terry; Dana Gold; Elizabeth J Horn; Mary Schwartz; Molly Stuart; Suzanne D Vernon
Journal:  Biopreserv Biobank       Date:  2016-04-08       Impact factor: 2.300

7.  GenomeConnect: matchmaking between patients, clinical laboratories, and researchers to improve genomic knowledge.

Authors:  Brianne E Kirkpatrick; Erin Rooney Riggs; Danielle R Azzariti; Vanessa Rangel Miller; David H Ledbetter; David T Miller; Heidi Rehm; Christa Lese Martin; W Andrew Faucett
Journal:  Hum Mutat       Date:  2015-08-06       Impact factor: 4.878

8.  Functional Dysregulation of CDC42 Causes Diverse Developmental Phenotypes.

Authors:  Simone Martinelli; Oliver H F Krumbach; Francesca Pantaleoni; Simona Coppola; Ehsan Amin; Luca Pannone; Kazem Nouri; Luciapia Farina; Radovan Dvorsky; Francesca Lepri; Marcel Buchholzer; Raphael Konopatzki; Laurence Walsh; Katelyn Payne; Mary Ella Pierpont; Samantha Schrier Vergano; Katherine G Langley; Douglas Larsen; Kelly D Farwell; Sha Tang; Cameron Mroske; Ivan Gallotta; Elia Di Schiavi; Matteo Della Monica; Licia Lugli; Cesare Rossi; Marco Seri; Guido Cocchi; Lindsay Henderson; Berivan Baskin; Mariëlle Alders; Roberto Mendoza-Londono; Lucie Dupuis; Deborah A Nickerson; Jessica X Chong; Naomi Meeks; Kathleen Brown; Tahnee Causey; Megan T Cho; Stephanie Demuth; Maria Cristina Digilio; Bruce D Gelb; Michael J Bamshad; Martin Zenker; Mohammad Reza Ahmadian; Raoul C Hennekam; Marco Tartaglia; Ghayda M Mirzaa
Journal:  Am J Hum Genet       Date:  2018-01-25       Impact factor: 11.025

9.  Developing a genomics rotation: Practical training around variant interpretation for genetic counseling students.

Authors:  Megan E Grove; Shana White; Dianna G Fisk; Shannon Rego; Orit Dagan-Rosenfeld; Jennefer N Kohler; Chloe M Reuter; Devon Bonner; Matthew T Wheeler; Jonathan A Bernstein; Kelly E Ormond; Andrea K Hanson-Kahn
Journal:  J Genet Couns       Date:  2019-02-01       Impact factor: 2.537

10.  Collaborative science unites researchers and a novel spastic ataxia gene.

Authors:  Brent L Fogel
Journal:  Ann Neurol       Date:  2018-06       Impact factor: 10.422

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