Implementation of a classification hierarchy for the GeneTests/GeneClinics genetic testing databases

Area of Science:

• Genetics and Bioinformatics
• Medical Informatics

Background:

• Evolving understanding of disease classification (genotypic/phenotypic).
• Rapid expansion of clinical genetic databases (GeneClinics, GeneTests).

Purpose of the Study:

• Develop a flexible, dynamic hierarchical classification system for genetic disorders.
• Address the need for managing growing genetic information in clinical resources.

Main Methods:

• Utilized a relational database to maintain parent/child relationships for the classification hierarchy.
• Implemented real-time hierarchy generation based on user requests.
• Managed classification entries as objects with attributes and associations.

Main Results:

• Created a dynamic, flexible classification hierarchy for genetic disorders.
• Enabled real-time generation and retrieval of the classification structure.
• Facilitated rich definition and examination of genetic disorders through object-oriented data handling.

Conclusions:

• The developed classification system effectively manages complex genetic disorder data.
• The dynamic and flexible nature supports evolving scientific understanding and database growth.
• Enhances the utility of clinical genetic databases like GeneClinics and GeneTests.