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The dysmorphic human-mouse homology database (DHMHD): an interactive World-Wide Web resource for gene mapping

C D Evans1, A G Searle, A A Schinzel

  • 1Institute of Child Health, University of London, UK.

Journal of Medical Genetics
|April 1, 1996
PubMed
Summary

The Dysmorphic Human and Mouse Homology Database (DHMHD) integrates scattered genetic mapping data. This accelerates the isolation of disease-associated genes by enabling rapid cross-referencing of phenotypic and chromosomal homology information.

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Area of Science:

  • Genetics
  • Bioinformatics
  • Genomic Medicine

Background:

  • Genetic mapping of clinical syndromes relies on identifying specific genomic loci.
  • Information for localizing these loci is often dispersed across various publications and databases.
  • Existing resources lack efficient methods for integrating diverse data types like homology and chromosomal aberrations.

Purpose of the Study:

  • To develop a centralized resource for accelerating genetic mapping of clinical syndromes.
  • To facilitate the transition between different types of genetic and phenotypic data.
  • To enable rapid cross-referencing through phenotypic and chromosomal homology.

Main Methods:

  • Compilation of detailed information from four distinct sources.
  • Development of a database system for integrating disparate data.

Related Experiment Videos

  • Implementation of cross-referencing capabilities based on homology and phenotype.
  • Online accessibility via the World-Wide Web.
  • Main Results:

    • The Dysmorphic Human and Mouse Homology Database (DHMHD) prototype has been created.
    • DHMHD integrates genetic, phenotypic, and homology data.
    • The system allows for rapid data transition and cross-referencing.

    Conclusions:

    • The DHMHD provides a valuable tool for researchers studying genetic syndromes.
    • Integrated data access accelerates the identification of disease-associated genes.
    • Online availability enhances the utility and accessibility of this resource for the scientific community.