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.

Documentation