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Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
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HGDBMS: a human genetics database management system.

S A Seuchter1, M H Skolnick

  • 1Department of Medical Informatics, University of Utah Medical Center, Salt Lake City 84132.

Computers and Biomedical Research, an International Journal
|October 1, 1988
PubMed
Summary
This summary is machine-generated.

Human genetics research requires flexible data management. HGDBMS embeds hierarchical pedigree data into a relational database, supporting diverse research needs from data entry to analysis.

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Area of Science:

  • Human genetics
  • Bioinformatics
  • Database management systems

Background:

  • Human genetics research generates complex, hierarchical data across multiple levels (project, pedigree, individual, sample).
  • Existing data management systems often lack the flexibility to accommodate diverse data views required for collection and retrieval in genetic studies.

Purpose of the Study:

  • To describe HGDBMS, a comprehensive relational database management system (DBMS) designed for human genetics research.
  • To demonstrate how HGDBMS embeds hierarchical pedigree structures within a relational framework.

Main Methods:

  • Implementation of HGDBMS as an application of the GENISYS I DBMS.
  • Detailed description of the system's file structure.
  • Application of HGDBMS to manage Melanoma and Chromosome 17 map studies.

Main Results:

  • HGDBMS successfully manages complex human genetics data, including hierarchical pedigree information.
  • The system provides flexibility for data entry, update, storage, reporting, and analysis throughout genetic research phases.
  • Initial experiences confirm the system's value in supporting diverse research requirements.

Conclusions:

  • HGDBMS offers a flexible and effective solution for managing the complex data inherent in human genetics research.
  • The system's ability to integrate hierarchical and relational data structures is crucial for efficient genetic study management.
  • Future work will focus on integrating HGDBMS with expert systems and analysis programs for enhanced functionality.