Evidence map›Paper›PMID 35537081›Full record

ArticleHuman mutation2022

Seven years since the launch of the Matchmaker Exchange: The evolution of genomic matchmaking.

Kym M Boycott, Danielle R Azzariti, Ada Hamosh, Heidi L Rehm

Open access · greenAbstract read
In one paragraph

Article in Human mutation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
9.0field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
  2. Review
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  4. Review
  5. Article
  6. Functional assays inGenome research · 2025
    Review
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  16. Considerations for reporting variants in novel candidate genes identified during clinical genomic testing.Genetics in medicine : official journal of the American College of Medical Genetics · 2024
    Article
  17. Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 2 countries.

Kym M BoycottChildren's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, Ontario, Canada.ORCID 0000-0003-4186-8052
Danielle R AzzaritiProgram in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.ORCID 0000-0002-2635-9172
Ada HamoshMcKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-1780-5230
Heidi L RehmProgram in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.ORCID 0000-0002-6025-0015
Broad Institute · USJohns Hopkins University · USUniversity of Ottawa · CA

Funding

The AnVIL Data Ecosystem DACReS SupplementU24HG010262 · NHGRI · BROAD INSTITUTE, INC. · PI Robert J Carroll, Jonathan Lawson · 2018 to 2026
$40.5M
Joint Center for Mendelian GenomicsUM1HG008900 · NHGRI · BROAD INSTITUTE, INC. · PI O'DONNELL-LURIA, ANNE, REHM, HEIDI L · 2016 to 2020
$16.5M
The Monarch Initiative: Linking Diseases to Model Organism ResourcesR24OD011883 · OD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HAENDEL, MELISSA A, MUNGALL, CHRISTOPHER J · 2012 to 2024
$16.0M
Baylor-Johns Hopkins Center for Mendelian GeneticsU54HG006542 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID · 2012 to 2015
$15.6M
Broad Institute Mendelian Genomic Research CenterU01HG011755 · NHGRI · BROAD INSTITUTE, INC. · PI Anne O'Donnell-Luria, MICHAEL E TALKOWSKI · 2021 to 2026
$14.6M
Improvements to the LinkML framework to support the Phenomics First open science resourceRM1HG010860 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HAENDEL, MELISSA A, MUNGALL, CHRISTOPHER J · 2020 to 2024
$10.3M
A powerful web-based discovery platform for rare disease geneticsR01HG009141 · NHGRI · BROAD INSTITUTE, INC. · PI QUINLAN, AARON R, REHM, HEIDI L · 2017 to 2020
$2.9M
NHGRI NIH HHS R01 HG009141NHGRI NIH HHS RM1 HG010860NHGRI NIH HHS U01 HG011755NHGRI NIH HHS U24 HG010262NHGRI NIH HHS U54 HG006542NHGRI NIH HHS U54HG006542NHGRI NIH HHS UM1 HG008900NIH HHS R24 OD011883
6 · The paper itself

Abstract

The Matchmaker Exchange (MME) was launched in 2015 to provide a robust mechanism to discover novel disease-gene relationships. It operates as a federated network connecting databases holding relevant data using a common application programming interface, where two or more users are looking for a match for the same gene (two-sided matchmaking). Seven years from its launch, it is clear that the MME is making outstanding contributions to understanding the morbid anatomy of the genome. The number of unique genes present across the MME has steadily increased over time; there are currently >13,520 unique genes (~68% of all protein-coding genes) connected across the MME's eight genomic matchmaking nodes, GeneMatcher, DECIPHER, PhenomeCentral, MyGene2, seqr, Initiative on Rare and Undiagnosed Disease, PatientMatcher, and the RD-Connect Genome-Phenome Analysis Platform. The collective data set accessible across the MME currently includes more than 120,000 cases from over 12,000 contributors in 98 countries. The discovery of potential new disease-gene relationships is happening daily and international collaborative teams are moving these advances forward to publication, now numbering well over 500. Expansion of data sharing into routine clinical practice by clinicians, genetic counselors, and clinical laboratories has ensured access to discovery for even more individuals with undiagnosed rare genetic diseases. Tens of thousands of patients and their family members have been directly or indirectly impacted by the discoveries facilitated by two-sided genomic matchmaking. MME supports further connections to the literature (PubCaseFinder) and to human and model organism resources (Monarch Initiative) and scientists (ModelMatcher). Efforts are now underway to explore additional approaches to matchmaking at the gene or variant level where there is only one querier (one-sided matchmaking). Genomic matchmaking has proven its utility over the past 7 years and will continue to facilitate discoveries in the years to come.

Indexed as

Databases, GeneticGenetic Predisposition to DiseaseGenomicsHumansInformation DisseminationPhenotypeRare DiseasesGA4GHIRDiRCMatchmaker Exchangematchmakingnovel gene-disease discoveryrare disease

Identifiers

PMID35537081
PMCPMC9133175
OpenAlexW4229444535

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.