DNA variant databases improve test accuracy and phenotype prediction in Alport syndrome

Area of Science:

• Genetics
• Nephrology
• Bioinformatics

Background:

• X-linked Alport syndrome is a progressive renal disease caused by pathogenic variants in the COL4A5 gene.
• Over 700 COL4A5 variants are published, with an estimated 400 more unpublished in laboratories.
• Accurate genetic information is vital for diagnosis and research.

Purpose of the Study:

• To establish a centralized, publicly accessible database for published and unpublished COL4A5 variants.
• To standardize variant description and pathogenicity assessment for X-linked Alport syndrome.
• To facilitate genetic testing, research, and understanding of collagen IV biochemistry.

Main Methods:

• Utilizing the Leiden Open Variation Database (LOVD) format for variant description.
• Standardizing nomenclature based on the human reference sequence.
• Linking to other COL4A5 mutation databases and bioinformatics resources.

Main Results:

• A comprehensive Web-based database for COL4A5 variants is now available.
• The database includes published, unpublished, non-pathogenic, and recurrent variants.
• Variants are described with standardized nomenclature, pathogenicity, and clinical associations.

Conclusions:

• The COL4A5 variant database improves genetic testing accuracy and efficiency for X-linked Alport syndrome.
• Increased variant data enhances phenotype prediction and understanding of collagen IV.
• This database serves as a model for other inherited renal disease databases.