GWAS Central (previously HGBASE, HGVbase and HGVbaseG2P) is a publicly available database of summary-level findings from genetic association studies in humans, including genome-wide association studies (GWAS).
It is funded through the GEN2PHEN project by the European Union under their Seventh Framework Programme.
Current content includes ‘top’ p-values from collections; supplementary data; direct researcher submissions; and publicly available data. Consequently, the database now hosts >21 million p-values and 708 studies, representing ~5% of all such data yet produced. GWAS Central makes parts of its data freely available for download by the research community. However, only parts of the data may be downloaded freely, the whole database content can be accessed as part of a collaboration.
HGVbase was scaled back in 2004 to simply provide an alternative representation of the full marker list from dbSNP, but development continued on its successor: the Human Genome Variation Genotype-to-Phenotype database (HGVbaseG2P), in many ways the natural evolution of HGVbase into a central database for summary-level genetic association data. The work was originally funded by GlaxoSmithKline, the University of Leicester, and the European Community's Sixth Framework Programme ('INFOBIOMED' Network of Excellence), but the GEN2PHEN project became the main source of funds in 2008. Early work in the project involved devising a powerful way of modeling phenotype and genotype- phenotype data, which itself was adopted and adapted to become the global standard Phenotype And Genotype Experiment Object model. In 2008 HGVbaseG2P went live and extended the project's content and scope by adding a far broader and more comprehensive range of markers (i.e., SNPs, structural variants, and STSs), along with association data from many genetic association studies.
In February 2010, the project was once again renamed to GWAS Central, to reflect the growing focus on genome-wide association studies. GWAS Central is a core component of the GEN2PHEN project and intends to provide an operational model, plus an open-source software package, so others can create similar databases across the world. These will be hosted by institutes, consortia, and even individual laboratories; providing those groups a toolkit for publicising and publishing their genetic association findings on the web and examine their data alongside others data from similar valuable resources.
|
|