CardioGenBase: A Literature Based Multi-Omics Database for Major Cardiovascular Diseases

Area of Science:

• Genetics and Genomics
• Cardiovascular Research
• Bioinformatics

Background:

• Cardiovascular diseases (CVDs) are a leading cause of global morbidity and mortality.
• Genetic and epigenetic factors significantly contribute to CVD development.
• Existing multi-omics data for CVDs lack comprehensive integration, hindering mechanistic understanding.

Purpose of the Study:

• To develop a centralized, literature-based online database for cardiovascular disease (CVD) gene-disease associations.
• To provide a comprehensive resource for understanding the genetic underpinnings of major CVDs.
• To support advanced research in CVD pathophysiology and genetics.

Main Methods:

• Developed CardioGenBase, a literature-based database, by extracting gene-disease associations from PubMed and MEDLINE.
• Compiled data on approximately 1,500 cardiovascular disease genes from over 24,000 research articles.
• Integrated diverse data types including gene-disease evidence, ontology, pathways, SNPs, protein interactions, and expression data.

Main Results:

• CardioGenBase covers major cardiovascular diseases: cerebrovascular, coronary artery disease (CAD), hypertensive heart disease, inflammatory heart disease, ischemic heart disease, and rheumatic heart disease.
• The database includes detailed information for ~1,500 CVD genes.
• Includes integrated tools for gene-disease association and gene expression analysis, with visual aids.

Conclusions:

• CardioGenBase is the first comprehensive database offering gene-disease associations for major cardiovascular diseases in a single portal.
• It serves as a vital resource for genome-wide association studies, genetic, epigenetic, and pharmacological research in CVDs.
• Facilitates novel methodologies for understanding CVD pathophysiology and advancing personalized medicine.