In the absence of a publicly available portal that helps address these challenges and allows a wide array of biological questions to be answered systematically, we developed Open Targets Genetics (https://genetics.opentargets.org), an open-access integrative resource that enables statistical genetics and functional genomics scientists to translate signals from Genome Wide Association Studies (GWAS) and Biobank data into target gene(s) across thousands of traits genome-wide using a workflow suited to their needs. This portal was constructed based on the latest technology to enable data to be easily added and browsed. It contains genetic and functional genomics data from a wide range of repositories and datasets, as well as additional data analyses generated internally using robust statistical methods. The data integrated into Open Targets Genetics can be searched by gene, variant or trait/disease. It offers several features that are fundamental for refining GWAS signals and identifying the likely causal variant(s) and target gene(s) at trait-associated loci. These include: (i) systematic statistical fine-mapping across thousands of trait-associated loci to resolve association signals, (ii) cross-trait/disease-disease colocalisation analysis and disease-molecular trait colocalisation analysis across 92 tissues
