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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  1. Our Approach
  2. Data Sources

Molecular Traits

PreviousFinnGenNextSplice QTLs

Last updated 2 years ago

pQTLs - Evidence linking genetic variation to protein abundance levels:

eQTLs - Evidence linking genetic variation to gene expression levels:

Consortium

Tissues/cell types

49 tissues

ALASOO

Macrophage naive/IFNG/IFNG Salmonella

BLUEPRINT

Monocyte, neutrophil, T cells

CEDAR

B cells, Ileum, monocyte, neutrophil, platelet, rectrum, traverse colon, T cell CD4/CD8

FAIRFAX

Monocyte naive/IFN24/LPS2/LPS24, neutrophil, T cells, B cells

GENCORD

Fibroblast, LCL, T cells

GEUVADIS

LCL

HIPSCI

iPSC

NARANBHAI

Neutrophil CD16

NEDELEC

Macrophage naive/Listeria/Salmonella

QUACH

Monocyte IAV/LPS/naive/PAM3CSK4/R848

SCHWAYZENTRUBER_2018

Sensory neuron

TWINSUK

Skin, fat, LCL

VAN_DE_BUNT_2015

Pancreatic islet

eQTLGen

Blood

Sun et al. 2018
Folkersen et al. 2017
Hillary et al. 2019
Olli et al. 2016
Pietzner et al. 2020
SCALLOP consortium, 2020
Suhre et al. 2017
GTEx V8