The SNP-Disease network is a bipartite network where nodes are either phenotypes or SNPs and each phenotype is connected by an edge to a SNP if there is an association - a GWAS-hit. Thus, different phenotypes interconnect if they share risk SNPs. Ancestry information is represented as a property of the SNP node and consists of risk-allele frequencies in different populations and Fst values between pairs of populations.
The Disease-Disease Network is a projection of the SNP-Disease Network and captures the relationships between diseases by linking them if they share SNPs. It is implemented as an edge-weighted network with weights representing the Jaccard’s Coefficient for each pair of phenotypes. Also, phenotype nodes are annotated with its medical class for visual investigation.
DANCE is database and web tool to investigate associations between traits and common SNPs. Our data is a subset of both 1000 Genomes Project data and NHGRI GWAS Catalog. DANCE integrates data from the 1000 Genomes Project (Phase 3) and the NHGRI GWAS Catalog (v. July 2016) databases, comprising 721 phenotypes and 12.380 risk-alleles. DANCE was developed in the Laboratory of Human Genetic Diversity (LDGH). LDGH's research integrates concepts and tools of population genetics, genetic epidemiology, bioinformatics and functional genetics. The overarching objective is to enhance our understanding of evolution and the genetic bases of complex traits and diseases, with an emphasis on immune-related genes and their influence on infection and cancer. We have a particular interest in native and admixed populations of Latin America in the context of global human genomic diversity. More about LDGH in : http://www.ldgh.com.br/
19/01/2017 :: DANCE implements new data query parameters. Now DANCE allows to query linkage disequilibrium data for African, European and Asian populations, and SNP effect (OR or Beta) data.
19/01/2017 :: Data update: Data integration from NGHRI/EBI GWAS Catalog (November 1, 2016) and 1000 Genomes Project Phase 3.