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CardioGenBase: A Literature Based Multi-Omics Database for Major Cardiovascular Diseases
Alexandar V1, Pradeep G Nayar2, R Murugesan1
1Faculty of Allied Health Sciences, Chettinad Academy of Research and Education, Kelambakkam 603 103, Tamil Nadu, India.
Insights
CardioGenBase is a new online database that consolidates gene-disease associations for major cardiovascular diseases (CVDs). This resource aids researchers in understanding CVD genetic factors and developing new diagnostic and therapeutic strategies.
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.
Abstract:
Cardiovascular diseases (CVDs) account for high morbidity and mortality worldwide. Both, genetic and epigenetic factors are involved in the enumeration of various cardiovascular diseases. In recent years, a vast amount of multi-omics data are accumulated in the field of cardiovascular research, yet the understanding of key mechanistic aspects of CVDs remain uncovered. Hence, a comprehensive online resource tool is required to comprehend previous research findings and to draw novel methodology for understanding disease pathophysiology. Here, we have developed a literature-based database, CardioGenBase, collecting gene-disease association from Pubmed and MEDLINE. The database covers major cardiovascular diseases such as cerebrovascular disease, coronary artery disease (CAD), hypertensive heart disease, inflammatory heart disease, ischemic heart disease and rheumatic heart disease. It contains ~1,500 cardiovascular disease genes from ~2,4000 research articles. For each gene, literature evidence, ontology, pathways, single nucleotide polymorphism, protein-protein interaction network, normal gene expression, protein expressions in various body fluids and tissues are provided. In addition, tools like gene-disease association finder and gene expression finder are made available for the users with figures, tables, maps and venn diagram to fit their needs. To our knowledge, CardioGenBase is the only database to provide gene-disease association for above mentioned major cardiovascular diseases in a single portal. CardioGenBase is a vital online resource to support genome-wide analysis, genetic, epigenetic and pharmacological studies.
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