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Clear Filters
Annotation type
  • 2637pQTL
  • 681gene expression
  • 180differential activity
  • 135eQTL
  • 20accessible chromatin
  • 19caQTL
  • 17variant allelic effects
  • 12Fine-mapped variants
  • 4candidate regulatory elements
  • 4sQTL
  • 4target gene predictions
  • 2variant to gene
  • 1binding sites
  • 1histone modifications
  • 1other
  • 1representative DNase hypersensitivity sites
Annotation Category
  • 4Target gene links
Annotation type Category
  • 4ATAC-seq
File set status
  • 4released
Genome assembly (visualization)
  • hg19
  • 285GRCh38
Organism
  • 4Homo sapiens
Biosample type
  • 4tissue
Biosample term
  • 1artery
  • 1liver
  • 1skeletal muscle
  • 1visceral fat
Organ
  • 1adipose tissue
  • 1artery
  • 1blood vessel
  • 1connective tissue
  • 1liver
  • 1musculature of body
  • 1vasculature
Life stage
  • 4adult
Date released
  • 4October, 2025
Software used
  • 4sce2g
Lab
  • 4AMP-T2D consortium
Project
  • 4AMP
Collection Tags
  • 4STARNET
RFA
  • 4AMP
assembly!
  • hg19

Showing 4 of 4 results

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  • FileSet

    DSR611486

    released

    Annotation file set: The dataset contains cCRE–target gene links in human visceral fat, predicted from STARNET ATAC-seq data with detailed annotation (milestone 17).
    Lab: AMP-T2D consortium
    Project: AMP
  • FileSet

    DSR215161

    released

    Annotation file set: The dataset contains cCRE–target gene links in human skeletal muscle, predicted from STARNET ATAC-seq data with detailed annotation (milestone 17).
    Lab: AMP-T2D consortium
    Project: AMP
  • FileSet

    DSR474569

    released

    Annotation file set: The dataset contains cCRE–target gene links in human liver, predicted from STARNET ATAC-seq data with detailed annotation (milestone 17).
    Lab: AMP-T2D consortium
    Project: AMP
  • FileSet

    DSR668686

    released

    Annotation file set: The dataset contains cCRE–target gene links in human artery, predicted from STARNET ATAC-seq data with detailed annotation (milestone 17).
    Lab: AMP-T2D consortium
    Project: AMP
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