The database resource GWAS Central (established in 2007, then named HGVbaseG2P ) is a comprehensive central collection of aggregate level genetic association data with a focus on advanced tools to integrate, search and compare summary-level data sets via genes, genome regions, phenotypes or traits.
The database now provides over 34 million p-values for over 1,000 studies, making it the largest online collection of summary-level association p-values from multiple GWAS. The web interface gives researchers easy access to advanced powerful text searches (keywords, phenotype ontologies, chromosomal regions, HGNC gene symbols) and graphical based data presentation methods for discovery, visualisation and comparison of data sets in multiple GWAS.
- An interactive custom GWAS genome browser adapted from GBrowse (http://www.gbrowse.org) allowing visual comparison of selected GWAS in relation to other genomic data, such as HapMap data (http://hapmap.ncbi.nlm.nih.gov), gene based information and HGMD Professional (http://www.hgmd.cf.ac.uk/ac/index.php) variants in genomic and region based views, along with user defined custom tracks and uploads.
- Facility to allow users to anonymously and privately upload their own GWAS p-values to compare and contrast alongside all other GWAS content. The uploaded data is automatically deleted once the session is complete and is only visible to the user who submitted it.
- High-quality manually curated phenotype ontology annotations assigned using MeSH and the Human Phenotype Ontology . GWAS phenotype data (diseases and traits) can be browsed using the graphical tree displays, and ontology terms and synonyms queried using the auto-complete text searches.
- Provision of computational access to the datasets through the implementation of a GWAS BioMart, thus allowing users to mine and download data for use in their own analyses. A set of web services are also provided for common bulk data-access requests.
- Providing GWAS assertions in the form of nanopublications  allowing key results from each publication such as individual markers, phenotypes and results (<10-5) in RDF to become semantically incorporated and linked to other semantic web resources. The resulting triple store of information can be queried using a SPARQL endpoint: http://fuseki.gwascentral.org
- GWAS Central software is available as a virtual machine to allow external groups to run and control their own versions of the system. An example of this in practice is GWAS India.
2. Hindorff LA, Sethupathy P, Junkins HA, Ramos EM, Mehta JP, Collins FS, Manolio TA. 2009. Potential etiologic and functional implications of genome-wide association loci for human diseases and traits. Proc Natl Acad Sci USA. 106(23):9362-9367.
3. Robinson PN, Mundlos S. 2010. The human phenotype ontology. Clin Genet. 77(6):525-34.
4. nanopub: a beginner's guide to data publishing. [http://www.nanopub.org/]