4.5 Article

The Phenotype and Genotype Experiment Object Model (PaGE-OM): A Robust Data Structure for Information Related to DNA Variation

Journal

HUMAN MUTATION
Volume 30, Issue 6, Pages 968-977

Publisher

WILEY
DOI: 10.1002/humu.20973

Keywords

bioinformatics; data model; genotype-phenotype; database

Funding

  1. University of Leicester
  2. European Bioinformatics Institute
  3. Karolinska Institute
  4. University of Helsinki
  5. National Center for Biotechnology Information
  6. Cold Spring Harbor Laboratory Stanford University
  7. Yale University
  8. Shanghai Center for Bioinformation Technology
  9. Shanghai Information Center for Life Sciences
  10. Tsinghua University
  11. Indian Institute of Genomics & Integrative Biology
  12. Japan National Institute of Genetics
  13. Japan Science and Technology Agency
  14. Japanese National Cancer Center Research Institute
  15. Tokyo Institute of Technology
  16. Japanese Ministry of Economy Trade and Industry
  17. New Energy and Industrial Technology Development Organization
  18. Research Council of Norway
  19. Research Council of Norway and Bergen Forskningsstiftelse
  20. GlaxoSmithKline
  21. NIH [U01GM61374]
  22. NSF [BCS0096588]
  23. European Community [QLG2-CT-2002-01254, 200754]

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Torrents of genotype-phenotype data are being generated, all of which must be captured, processed, integrated, and exploited. To do this optimally requires the use of standard and interoperable object models, providing a description of how to partition the total spectrum of information being dealt with into elemental objects (such as alleles, genotypes, phenotype values, methods) with precisely stated logical interrelationships (such as A objects are made up from one or more B objects). We herein propose the Phenotype and Genotype Experiment Object Model (PaGE-OM; www.pageom.org), which has been tested and implemented in conjunction with several major databases, and approved as a standard by the Object Management Group (OMG). PaGE-OM is open,source, ready for use by the wider community, and can be further developed as needs arise. It will help to improve information management, assist data integration, and simplify the task of informatics resource design and construction for genotype and phenotype data projects. Hum Mutat 30, 968-977, 2009. (C) 2009 Wiley-Liss, Inc.

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