Open Targets Genetics Documentation
  • Introduction
  • Release notes
  • Change log
  • FAQs
  • Future Plans
  • Licence
  • Citation
  • Terms of Use
  • Our Approach
    • Overview
    • Assigning Variants to Disease (V2D)
    • Assigning Variants to Genes (V2G)
    • Prioritising causal genes at GWAS loci (L2G)
    • Colocalisation analysis
    • Data Sources
      • Genetic Variation
        • FinnGen
      • Molecular Traits
        • Splice QTLs
      • Others
  • How To Use Open Targets Genetics starting with
    • A Gene
    • A Study (Trait)
    • Multiple Studies
    • A Variant
    • Introducing the Locus Plot
  • Technical Pipeline
    • What Technologies Do We Use?
    • GitHub Repositories
    • Pipeline schematic overview
  • Meetings
    • ESHG Workshop 2019
    • ASHG Workshop 2018
  • Data access
    • Data Download
    • GraphQL API
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Future Plans

There are some of the new functionalities and data coming up in future releases of Open Targets Genetics:

  • Tissue/SNP enrichment across diseases and traits (CHEERS method)

  • Mendelian Randomisation (6 proteomic summary stat data)

  • Tissue/trait-specific ‘Locus to Gene’ score

  • Therapeutic-area specific profiles (e.g. only include functional data relevant to immune-related disease in variant-to-gene assignment/scoring)

  • PheWAS based on rare variants

In the meantime, the team is working on refactoring Open Targets Genetics pipelines, aiming to:

  • Re-focusing the product around Target ID

  • Creating a gold standard toolkit for post-GWAS analysis

  • Faster/robust addition of new datasets and datatypes

  • Reducing computational and financial cost

Please see this repository for more information.

To be informed of future updates, follow Open Targets on Twitter and LinkedIn, and keep an eye on the Open Targets Blog and Open Targets Community.

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Last updated 1 year ago