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Genomic Data Sharing for Novel Mendelian Disease Gene Discovery: The Matchmaker Exchange.
Azzariti, Danielle R; Hamosh, Ada.
Afiliação
  • Azzariti DR; The Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA; email: dazzarit@broadinstitute.org.
  • Hamosh A; McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University, Baltimore, Maryland 21287, USA; email: ahamosh@jhmi.edu.
Annu Rev Genomics Hum Genet ; 21: 305-326, 2020 08 31.
Article em En | MEDLINE | ID: mdl-32339034
In the last decade, exome and/or genome sequencing has become a common test in the diagnosis of individuals with features of a rare Mendelian disorder. Despite its success, this test leaves the majority of tested individuals undiagnosed. This review describes the Matchmaker Exchange (MME), a federated network established to facilitate the solving of undiagnosed rare-disease cases through data sharing. MME supports genomic matchmaking, the act of connecting two or more parties looking for cases with similar phenotypes and variants in the same candidate genes. An application programming interface currently connects six matchmaker nodes-the Database of Chromosomal Imbalance and Phenotype in Humans Using Ensembl Resources (DECIPHER), GeneMatcher, PhenomeCentral, seqr, MyGene2, and the Initiative on Rare and Undiagnosed Diseases (IRUD) Exchange-resulting in a collective data set spanning more than 150,000 cases from more than 11,000 contributors in 88 countries. Here, we describe the successes and challenges of MME, its individual matchmaking nodes, plans for growing the network, and considerations for future directions.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Variação Genética / Predisposição Genética para Doença / Disseminação de Informação / Estudos de Associação Genética / Doenças Genéticas Inatas Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Variação Genética / Predisposição Genética para Doença / Disseminação de Informação / Estudos de Associação Genética / Doenças Genéticas Inatas Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article