HAEdb: a novel interactive, locus-specific mutation database for the C1 inhibitor gene.

Area of Science:

• Genetics
• Bioinformatics
• Medical Databases

Background:

• Hereditary angioneurotic edema (HAE) is an autosomal dominant disorder resulting from C1-esterase inhibitor (C1-INH) deficiency, linked to the SERPING1 gene.
• Existing mutation databases for C1-INH are infrequent in updates, lack interactivity, and do not support diverse search criteria.

Purpose of the Study:

• To establish HAEdb, a comprehensive and interactive database for C1-INH gene mutations.
• To facilitate the collection, searching, and comparison of genetic alterations in the C1-INH gene.
• To aid in the identification of novel C1-INH mutations and support molecular diagnostic testing for HAE.

Main Methods:

• Development of HAEdb using MySQL relational database management system and a PHP-based graphical user interface.
• Categorization of C1-INH mutations into gross (>1 kb DNA fragments) and micro mutations.
• Standardized data collection for each mutation, including affected exon, molecular consequence, and family history.

Main Results:

• HAEdb provides a user-friendly platform for accessing and searching C1-INH gene mutation data.
• The database supports flexible search criteria and data deposition for ongoing updates.
• Mutations are classified, and detailed attributes are recorded for each entry.

Conclusions:

• HAEdb serves as a valuable resource for comprehensive analysis of C1-INH mutations.
• The database is expected to assist in the molecular diagnostic testing of HAE patients across different centers.
• HAEdb enhances the accessibility and utility of genetic information related to C1-INH deficiency.