Open Targets is an innovative, large-scale, multi-year, public-private partnership that uses human genetics and genomics data for systematic drug target identification and prioritisation.

Open Targets brings together complimentary expertise of our academic and industry partners, Bristol Myers Squibb, EMBL-EBI, Genentech, GSK, Pfizer, Wellcome Sanger Institute, and Sanofi.

The freely available Open Targets Platform (platform.opentargets.org) makes it easy for researchers working in many disciplines to identify and prioritise therapeutic targets for new medicines. 

Open Targets Genetics (genetics.opentargets.org), is our portal for investigation of Genome Wide Association Study (GWAS) data to assist in identifying the causal genes to prioritise drug targets. The portal aggregates and merges genetic associations curated from literature and newly-derived loci from UK Biobank andn FinnGen with (open source) functional genomics data including epigenetics (e.g., chromatin conformation, chromatin interactions) and quantitative trait loci (e.g., eQTLs from GTEX, pQTL), and applies statistical fine-mapping across thousands of trait-associated loci, to resolve association signals and link each variant to its proximal and distal target gene(s), using a single evidence score.

Open Targets complements data integration with large scale systematic experimental approaches to support target identification, prioritisation and validation, and is committed to sharing its data openly with the scientific community.

Life Sciences

Open Targets

David Hulcoop

Birgit Kerber

Shameer Khader

Orit Rozenblatt - Rosen

Nikolina Nakic

Mathew Garnett

Mark Mccarthy

Jason Arroyo

Helena Cornu

Hayley Francies

Ellen Mcdonagh

The Scientific Leads Team at Open Targets consists of experts from partner organizations like Pfizer, Sanofi, GSK, Sanger Institute, and Genentech. They guide the integration and application of human genetics and genomics data to systematically identify and prioritize drug targets. This team collaborates on leveraging large-scale data and experimental approaches, ensuring rigorous validation and alignment with their respective organizations' research priorities, while fostering open sharing of data with the scientific community.

Scientific Leads

Scientific Leads

About

Team members