TY - JOUR
T1 - Genomic Data Sharing for Novel Mendelian Disease Gene Discovery
T2 - The Matchmaker Exchange
AU - Azzariti, Danielle R.
AU - Hamosh, Ada
N1 - Publisher Copyright:
© 2020 Annual Reviews Inc.. All rights reserved.
PY - 2020/8/31
Y1 - 2020/8/31
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85090251874&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85090251874&partnerID=8YFLogxK
U2 - 10.1146/annurev-genom-083118-014915
DO - 10.1146/annurev-genom-083118-014915
M3 - Review article
C2 - 32339034
AN - SCOPUS:85090251874
SN - 1527-8204
VL - 21
SP - 305
EP - 326
JO - Annual Review of Genomics and Human Genetics
JF - Annual Review of Genomics and Human Genetics
ER -