Genomic Data Sharing for Novel Mendelian Disease Gene Discovery: The Matchmaker Exchange

Danielle R. Azzariti, Ada Hamosh

Research output: Contribution to journalReview articlepeer-review

4 Scopus citations

Abstract

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 nodesmdashthe 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) Exchangemdashresulting 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.

Original languageEnglish (US)
Pages (from-to)305-326
Number of pages22
JournalAnnual Review of Genomics and Human Genetics
Volume21
DOIs
StatePublished - Aug 31 2020

ASJC Scopus subject areas

  • Genetics(clinical)
  • Genetics
  • Molecular Biology

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