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PMID: 26269093 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S.

Use of model organism and disease databases to support matchmaking for human disease gene discovery.

Human mutation ·Vol. 36 ·No. 10 ·2015-10-00 ·Pages 979-84

Mungall CJ, Washington NL, Nguyen-Xuan J, Condit C, Smedley D, Köhler S, Groza T, Shefchek K, Hochheiser H, Robinson PN, Lewis SE, Haendel MA

Abstract

The Matchmaker Exchange application programming interface (API) allows searching a patient's genotypic or phenotypic profiles across clinical sites, for the purposes of cohort discovery and variant disease causal validation. This API can be used not only to search for matching patients, but also to match against public disease and model organism data. This public disease data enable matching known diseases and variant-phenotype associations using phenotype semantic similarity algorithms developed by the Monarch Initiative. The model data can provide additional evidence to aid diagnosis, suggest relevant models for disease mechanism and treatment exploration, and identify collaborators across the translational divide. The Monarch Initiative provides an implementation of this API for searching multiple integrated sources of data that contextualize the knowledge about any given patient or patient family into the greater biomedical knowledge landscape. While this corpus of data can aid diagnosis, it is also the beginning of research to improve understanding of rare human diseases.

Keywords
Matchmaker Exchange informatics model systems ontology phenotype rare disease
MeSH Terms
Animals Databases, Genetic Disease/genetics Disease Models, Animal Genetic Predisposition to Disease/genetics Genetic Variation Humans Information Dissemination Phenotype User-Computer Interface
Authors & Affiliations
12 authors, click to expand affiliations / ORCID
Mungall Christopher J
Genomics Division, Lawrence Berkeley National Laboratory, Berkeley, California.
Washington Nicole L
Genomics Division, Lawrence Berkeley National Laboratory, Berkeley, California.
Nguyen-Xuan Jeremy
Genomics Division, Lawrence Berkeley National Laboratory, Berkeley, California.
Condit Christopher
San Diego Supercomputing Center, UC San Diego, La Jolla, California.
Smedley Damian
Wellcome Trust Sanger Institute, Mouse Informatics group, Hinxton, UK.
Köhler Sebastian
Charité - Universitätsmedizin Berlin, Institute for Medical and Human Genetics, Berlin, Germany.
Groza Tudor
Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, Australia.
Shefchek Kent
Department of Biomedical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, Oregon.
Hochheiser Harry
Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania.
Robinson Peter N
Charité - Universitätsmedizin Berlin, Institute for Medical and Human Genetics, Berlin, Germany.
Lewis Suzanna E
Genomics Division, Lawrence Berkeley National Laboratory, Berkeley, California.
Haendel Melissa A
Department of Biomedical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, Oregon.
References (27)
27 references, click to expand
  1. The Human Phenotype Ontology: a tool for annotating and analyzing human hereditary disease.
    Am J Hum Genet. 2008 Nov;83(5):610-5 PMID: 18950739
  2. York platelet syndrome is a CRAC channelopathy due to gain-of-function mutations in STIM1.
    Mol Genet Metab. 2015 Mar;114(3):474-82 PMID: 25577287
  3. The zebrafish anatomy and stage ontologies: representing the anatomy and development of Danio rerio.
    J Biomed Semantics. 2014 Feb 25;5(1):12 PMID: 24568621
  4. Improved exome prioritization of disease genes through cross-species phenotype comparison.
    Genome Res. 2014 Feb;24(2):340-8 PMID: 24162188
  5. The Matchmaker Exchange: a platform for rare disease gene discovery.
    Hum Mutat. 2015 Oct;36(10):915-21 PMID: 26295439
  6. The Matchmaker Exchange API: automating patient matching through the exchange of structured phenotypic and genotypic profiles.
    Hum Mutat. 2015 Oct;36(10):922-7 PMID: 26255989
  7. Unification of multi-species vertebrate anatomy ontologies for comparative biology in Uberon.
    J Biomed Semantics. 2014 May 19;5:21 PMID: 25009735
  8. Uberon, an integrative multi-species anatomy ontology.
    Genome Biol. 2012 Jan 31;13(1):R5 PMID: 22293552
  9. The International Mouse Phenotyping Consortium Web Portal, a unified point of access for knockout mice and related phenotyping data.
    Nucleic Acids Res. 2014 Jan;42(Database issue):D802-9 PMID: 24194600
  10. PhenoDigm: analyzing curated annotations to associate animal models with human diseases.
    Database (Oxford). 2013 May 09;2013:bat025 PMID: 23660285
  11. A systematic survey of loss-of-function variants in human protein-coding genes.
    Science. 2012 Feb 17;335(6070):823-8 PMID: 22344438
  12. The Cancer Genome Atlas Pan-Cancer analysis project.
    Nat Genet. 2013 Oct;45(10):1113-20 PMID: 24071849
  13. GeneMatcher: a matching tool for connecting investigators with an interest in the same gene.
    Hum Mutat. 2015 Oct;36(10):928-30 PMID: 26220891
  14. Construction and accessibility of a cross-species phenotype ontology along with gene annotations for biomedical research.
    F1000Res. 2013 Feb 01;2:30 PMID: 24358873
  15. Rare-disease genetics in the era of next-generation sequencing: discovery to translation.
    Nat Rev Genet. 2013 Oct;14(10):681-91 PMID: 23999272
  16. Expanding the mammalian phenotype ontology to support automated exchange of high throughput mouse phenotyping data generated by large-scale mouse knockout screens.
    J Biomed Semantics. 2015 Mar 25;6:11 PMID: 25825651
  17. A systematic genome-wide analysis of zebrafish protein-coding gene function.
    Nature. 2013 Apr 25;496(7446):494-7 PMID: 23594742
  18. Effective diagnosis of genetic disease by computational phenotype analysis of the disease-associated genome.
    Sci Transl Med. 2014 Sep 3;6(252):252ra123 PMID: 25186178
  19. The Human Phenotype Ontology project: linking molecular biology and disease through phenotype data.
    Nucleic Acids Res. 2014 Jan;42(Database issue):D966-74 PMID: 24217912
  20. ZFIN, the Zebrafish Model Organism Database: increased support for mutants and transgenics.
    Nucleic Acids Res. 2013 Jan;41(Database issue):D854-60 PMID: 23074187
  21. Linking human diseases to animal models using ontology-based phenotype annotation.
    PLoS Biol. 2009 Nov;7(11):e1000247 PMID: 19956802
  22. OMIM.org: Online Mendelian Inheritance in Man (OMIM®), an online catalog of human genes and genetic disorders.
    Nucleic Acids Res. 2015 Jan;43(Database issue):D789-98 PMID: 25428349
  23. Phenotype ontologies and cross-species analysis for translational research.
    PLoS Genet. 2014 Apr 03;10(4):e1004268 PMID: 24699242
  24. Representation of rare diseases in health information systems: the Orphanet approach to serve a wide range of end users.
    Hum Mutat. 2012 May;33(5):803-8 PMID: 22422702
  25. ClinVar: public archive of relationships among sequence variation and human phenotype.
    Nucleic Acids Res. 2014 Jan;42(Database issue):D980-5 PMID: 24234437
  26. Integrating phenotype ontologies across multiple species.
    Genome Biol. 2010 Jan 08;11(1):R2 PMID: 20064205
  27. The Mouse Genome Database: integration of and access to knowledge about the laboratory mouse.
    Nucleic Acids Res. 2014 Jan;42(Database issue):D810-7 PMID: 24285300
Article Info
Journal
Human mutation
Abbr.
Hum Mutat
ISSN
1098-1004
Published
2015-10-00
Epub
2015-00-08
Pages
979-84
Language
English
Region
United States
NLM ID
9215429
PMCID
PMC5473253
Subset
IM
Grants
NIH HHS · R24 OD011883 · United States
NIH HHS · R24OD011883 · United States
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