CADgene
CADgene catalogs published genetic association data and functional annotations for coronary artery disease to support genetic research.
Key Features:
- Extensive Gene Repository: Contains over 300 candidate genes associated with CAD derived from more than 1,300 publications.
- Functional Categorization: Classifies candidate genes into 12 functional categories based on roles relevant to coronary artery disease.
- Detailed Annotations: Provides general gene information, Gene Ontology (GO) annotations, KEGG pathways, and protein-protein interactions for each gene.
- Study-Specific Data: Includes case-control study sizes, population details, single nucleotide polymorphisms (SNPs), odds ratios, and P-values.
- Cumulative GWAS Data: Integrates data from 11 publications reporting CAD genome-wide association study findings.
Scientific Applications:
- Genetic marker identification: Facilitate identification and validation of SNPs and gene associations implicated in coronary artery disease.
- Functional interpretation: Support exploration of gene functions and protein-protein interactions within CAD-relevant pathways using GO and KEGG annotations.
- Meta-analysis and replication: Enable meta-analyses and replication studies by providing aggregated study-specific metrics such as odds ratios and P-values.
- Hypothesis generation: Provide a consolidated source of candidate genes and annotations to inform experimental and computational hypotheses in cardiovascular genetics.
Methodology:
Curated and integrated genetic association and annotation data from over 1,300 publications, including aggregation of results from 11 CAD GWAS publications.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- SQL
- Added:
- 3/27/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Liu H, Liu W, Liao Y, Cheng L, Liu Q, Ren X, Shi L, Tu X, Wang QK, Guo A. CADgene: a comprehensive database for coronary artery disease genes. Nucleic Acids Research. 2010;39(suppl_1):D991-D996. doi:10.1093/nar/gkq1106. PMID:21045063. PMCID:PMC3013698.