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Important Update May 2025: Dear Community, We’d like to inform you of an upcoming change regarding the Genomics open datasets currently available through Azure. After careful consideration, we decided to shift our focus to new initiatives that will better serve our community and align with our long-term goals. As such, access to the Genomics open datasets on Azure will be deprecated in the coming months. We understand these datasets were valuable for research, development, and learning, and we deeply appreciate the contributions and engagement from our community over time. Thank you for your understanding and support.
The Open Targets Platform is a data resource to facilitate the systematic identification and prioritization of potential therapeutic drug targets. This resource integrates publicly available datasets, including those datasets that are generated by the Open Targets consortium, to build and score target-disease associations, aiding in the identification and prioritization of drug targets. Additionally, it incorporates pertinent annotation information about targets, diseases, phenotypes, drugs, and their key relationships.
The Open Targets Genetics highlights variant-centric statistical evidence to allow both prioritization of candidate causal variants at trait-associated loci and identification of potential drug targets. It collects and combines genetic associations gathered from published literature as well as newly derived data from sources like UK Biobank and FinnGen. Additionally, it includes functional genomics information such as chromatin conformation and interactions, along with quantitative trait loci (eQTLs, pQTLs, and sQTLs). Large-scale pipelines apply statistical fine-mapping across thousands of trait-associated loci to resolve association signals and link each variant to its proximal and distal target genes using a 'Locus2Gene' assessment. Integrated cross-trait colocalisation analyses and linking to detailed pharmaceutical compounds extend the capacity of Open Targets Genetics to explore drug repositioning opportunities and shared genetic architecture.
- To read further about Open Targets Platform visit - Open Targets Platform
- To read further about Open Targets Genetics visit - Open Targets Genetics
Note
Microsoft provides Azure Open Datasets on an “as is” basis. Microsoft makes no warranties, express or implied, guarantees or conditions with respect to your use of the datasets. To the extent permitted under your local law, Microsoft disclaims all liability for any damages or losses, including direct, consequential, special, indirect, incidental or punitive, resulting from your use of the datasets.
This dataset is provided under the original terms that Microsoft received source data. The dataset may include data sourced from Microsoft.
Data source
This dataset is a mirror of http://ftp.ebi.ac.uk/pub/databases/opentargets/platform/latest and http://ftp.ebi.ac.uk/pub/databases/opentargets/genetics/latest/
Data volumes and update frequency
This dataset contains approximately 350 GB of data and is updated daily.
Storage location
This dataset is stored in the West US 2 Azure region. Allocating compute resources in West US 2 is recommended for affinity.
Data access
West US 2: https://datasetopentargets.blob.core.windows.net/dataset
Use terms
Please refer to the data use terms as described here.
Contact
https://www.internationalgenome.org/contact
View the rest of the datasets in the Open Datasets catalog.