This site was created to harness bioinformatics to the task of finding susceptibility variations/genes for depression and bipolar disorder. As an ongoing project, it offers access to tools that can facilitate the fine-mapping of mood disorder loci. We presently offer both QuickSNP, a web server to improve selection of tagSNPs, and open access to the Bipolar Disorder Phenome Database. Additional tools are under development.
   
QuickSNP
 
QuickSNP was developed to help researchers select SNPs for association studies in a cost-effective and efficient manner. It allows for gene-centric SNP selection from a chromosomal region in an automated fashion, automated selection of coding non-synonymous SNPs, and SNP filtering based on inter-SNP distance. It also provides information on availability of genotyping assays for SNPs, and availability of SNPs on whole genome chips, and it produces user-friendly summary tables and results as well as a link to a UCSC Genome Browser track, illustrating the position of the selected tagSNPs in relation to genes and other genomic features.
 
The Bipolar Disorder Phenome Database 

Johns Hopkins and NIMH researchers have jointly created this database, which posts the clinical phenotypes of over 5,000 people recruited for bipolar disorder genetics studies.  The Bipolar Disorder Phenome database is meant to complement the large bodies of genetic data that are being generated through the Human Genome Project, The International HapMap Consortium, the Genetic Analysis Information Network, and similar efforts. The goal is to accelerate discovery of genes that contribute to this common and often disabling disease, by promoting the genetic analysis of clinical subtypes. Researchers can now explore connections between clinical variables and genetics with adequate numbers of subjects to detect even moderate genetic effects.