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Disease associated cytokine SNPs database: an annotation and dissemination model
Sushant Bhushan1, Narayanan B Perumal
1School of Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202, USA. sbhushan@iupui.edu
Cytokine
|November 15, 2011
Summary
A new database, DACS-DB, catalogs 63,000 cytokine gene single nucleotide polymorphisms (SNPs) and their associations with 853 diseases. This resource aims to clarify the causal role of cytokine SNPs in disease pathogenesis and identify potential drug targets.
Area of Science:
- Immunology and Genetics
- Bioinformatics and Computational Biology
Background:
- Cytokines are key immune regulators involved in cell growth, lineage specification, and disease.
- Single nucleotide polymorphisms (SNPs) in cytokine genes are frequently associated with diseases, but causality is often unclear.
Purpose of the Study:
- To develop a comprehensive database (DACS-DB) for disease-associated cytokine SNPs.
- To provide data for understanding SNP-disease causality and identifying therapeutic targets.
Main Methods:
- Curated data on 456 cytokine genes, ~63,000 SNPs, and 853 SNP-associated diseases were compiled.
- Functional annotation and heterozygosity allele frequency for SNPs were included.
- Literature-validated SNP-disease associations were incorporated.
Main Results:
- DACS-DB contains extensive information on cytokine gene variants and their links to various diseases.
- The database enables queries for disease-associated SNPs within specific cytokine genes or diseases.
Conclusions:
- DACS-DB is a vital resource for researchers investigating the role of cytokine SNPs in disease.
- This database can facilitate the identification of cytokine SNPs as disease markers and causal agents, aiding drug target discovery for inflammatory diseases.
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