OCDD: an obesity and co-morbid disease database

Area of Science:

• Genomics
• Systems Biology
• Bioinformatics

Background:

• Obesity, characterized by increased BMI, induces chronic inflammation and disrupts immune-metabolic homeostasis.
• This disruption affects end-organs, contributing to co-morbid diseases like type 2 diabetes, asthma, NAFLD, and cancers.
• Understanding gene interactions is crucial for elucidating obesity-associated disease development.

Purpose of the Study:

• To develop a comprehensive database, the Obesity and Co-morbid Disease Database (OCDD).
• To investigate genes associated with obesity and its co-morbid diseases.
• To provide a resource for exploring causal links between obesity and co-morbid conditions.

Main Methods:

• Literature mining to identify gene associations.
• Computational and systems biology approaches for data analysis.
• Integration of data from existing biological databases for molecular interactions and functional annotations.

Main Results:

• The OCDD database has been established, linking obesity with its co-morbid diseases.
• It provides measures of co-morbid association degrees.
• Molecular interactions and functional annotations for relevant genes are extracted and available.

Conclusions:

• The OCDD database facilitates the derivation of relationships among genes involved in obesity and co-morbid diseases.
• Functional annotation, gene interaction networks, and key driver analyses are integral components.
• It serves as a valuable resource for investigating causal links between obesity and co-morbidities.