| Literature DB >> 33045747 |
Maya Ghoussaini1,2, Edward Mountjoy1,2, Miguel Carmona2,3, Gareth Peat2,3, Ellen M Schmidt1,2, Andrew Hercules2,3, Luca Fumis2,3, Alfredo Miranda2,3, Denise Carvalho-Silva2,3, Annalisa Buniello2,3, Tony Burdett2,3, James Hayhurst2,3, Jarrod Baker2,3, Javier Ferrer2,3, Asier Gonzalez-Uriarte2,3, Simon Jupp2,3, Mohd Anisul Karim1,2, Gautier Koscielny2,4, Sandra Machlitt-Northen2,4, Cinzia Malangone2,3, Zoe May Pendlington2,3, Paola Roncaglia2,3, Daniel Suveges2,3, Daniel Wright1,2, Olga Vrousgou2,3, Eliseo Papa2,5, Helen Parkinson2,3, Jacqueline A L MacArthur3, John A Todd6, Jeffrey C Barrett1,2, Jeremy Schwartzentruber1,2, David G Hulcoop2,4, David Ochoa2,3, Ellen M McDonagh1,3, Ian Dunham1,2,3.
Abstract
Open Targets Genetics (https://genetics.opentargets.org) is an open-access integrative resource that aggregates human GWAS and functional genomics data including gene expression, protein abundance, chromatin interaction and conformation data from a wide range of cell types and tissues to make robust connections between GWAS-associated loci, variants and likely causal genes. This enables systematic identification and prioritisation of likely causal variants and genes across all published trait-associated loci. In this paper, we describe the public resources we aggregate, the technology and analyses we use, and the functionality that the portal offers. Open Targets Genetics can be searched by variant, gene or study/phenotype. It offers tools that enable users to prioritise causal variants and genes at disease-associated loci and access systematic cross-disease and disease-molecular trait colocalization analysis across 92 cell types and tissues including the eQTL Catalogue. Data visualizations such as Manhattan-like plots, regional plots, credible sets overlap between studies and PheWAS plots enable users to explore GWAS signals in depth. The integrated data is made available through the web portal, for bulk download and via a GraphQL API, and the software is open source. Applications of this integrated data include identification of novel targets for drug discovery and drug repurposing.Entities:
Year: 2021 PMID: 33045747 PMCID: PMC7778936 DOI: 10.1093/nar/gkaa840
Source DB: PubMed Journal: Nucleic Acids Res ISSN: 0305-1048 Impact factor: 16.971