Open Targets Genetics: systematic identification of trait-associated genes using large-scale genetics and functional genomics

Author:

Ghoussaini Maya12,Mountjoy Edward12,Carmona Miguel23,Peat Gareth23,Schmidt Ellen M12,Hercules Andrew23,Fumis Luca23,Miranda Alfredo23,Carvalho-Silva Denise23,Buniello Annalisa23ORCID,Burdett Tony23ORCID,Hayhurst James23,Baker Jarrod23,Ferrer Javier23,Gonzalez-Uriarte Asier23,Jupp Simon23,Karim Mohd Anisul12,Koscielny Gautier24,Machlitt-Northen Sandra24,Malangone Cinzia23,Pendlington Zoe May23,Roncaglia Paola23,Suveges Daniel23,Wright Daniel12,Vrousgou Olga23,Papa Eliseo25,Parkinson Helen23,MacArthur Jacqueline A L3,Todd John A6,Barrett Jeffrey C12,Schwartzentruber Jeremy12,Hulcoop David G24,Ochoa David23,McDonagh Ellen M13ORCID,Dunham Ian123ORCID

Affiliation:

1. Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK

2. Open Targets, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK

3. European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK

4. GlaxoSmithKline plc, GSK Medicines Research Centre, Gunnels Wood Road, Stevenage SG1 2NY, UK

5. Systems Biology, Biogen, Cambridge, MA 02142, USA

6. Wellcome Centre for Human Genetics, Nuffield Department of Medicine, NIHR Oxford Biomedical Research Centre, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK

Abstract

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.

Funder

JDRF

Publisher

Oxford University Press (OUP)

Subject

Genetics

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