Identifying allergic-rhinitis-associated genes with random-walk-based method in PPI network

Area of Science:

• Immunology
• Genetics
• Bioinformatics

Background:

• Allergic rhinitis is a prevalent allergic condition with complex origins.
• Genetic factors significantly influence allergic rhinitis development.
• Understanding these genetic links is crucial for novel treatment strategies.

Purpose of the Study:

• To identify novel genes associated with allergic rhinitis.
• To explore the molecular pathways involved in allergic rhinitis pathogenesis.
• To uncover potential therapeutic targets for allergic rhinitis.

Main Methods:

• Utilized the DisGeNET database to retrieve 446 allergic rhinitis-related genes.
• Constructed a protein-protein interaction network using a random-walk-with-restart algorithm.
• Applied permutation, interaction, and enrichment tests to screen for significant genes.

Main Results:

• Identified 52 novel genes with strong and specific associations with allergic rhinitis.
• Functional enrichment analysis confirmed the involvement of these genes in allergic rhinitis-related biological processes and pathways.
• Highlighted IRAK2 and MAPK pathways in allergic rhinitis pathogenesis and inflammation inhibition.

Conclusions:

• The 52 newly identified genes provide valuable candidates for further research into allergic rhinitis.
• These findings advance the understanding of allergic rhinitis's molecular mechanisms.
• The identified genes may lead to the development of more effective allergic rhinitis treatments.