Immunodeficiency mutation databases (IDbases).

Area of Science:

• Immunology
• Genetics
• Bioinformatics

Background:

• Primary immunodeficiencies (IDs) are inherited disorders affecting the immune system.
• Patients with IDs are prone to recurrent, severe infections due to impaired immune responses.
• Over 150 IDs and 100 associated genes have been identified, with mutations affecting various cellular functions.

Purpose of the Study:

• To compile and analyze mutation data for primary immunodeficiencies.
• To create a comprehensive database (IDbases) for studying genetic defects in IDs.
• To identify common mutation types, genotype-phenotype correlations, and frequently mutated genes/amino acids.

Main Methods:

• Data collection and curation of patient-related mutation information into locus-specific databases (IDbases).
• Description of mutations at DNA, mRNA, and protein levels with links to reference data.
• Statistical analysis of mutation data from 4,140 patient entries across 107 ID genes.

Main Results:

• IDbases currently contain data for 107 ID genes and 4,140 public patient entries.
• Missense and nonsense mutations are the most prevalent types.
• The most common single substitution is a tryptophan to stop codon nonsense mutation; arginine is the most frequently mutated and abundant mutant amino acid.

Conclusions:

• The IDbases provide a valuable resource for researching immunodeficiency genetics and genotype-phenotype correlations.
• Statistical analysis highlights key mutation patterns in primary immunodeficiencies.
• Understanding common mutations and their effects is crucial for diagnosing and potentially treating these disorders.