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Clear Filters
Annotation type
  • 147candidate regulatory elements
  • 81target gene predictions
  • 74chromatin state
  • 31accessible chromatin
  • 13eQTL
  • 13gene expression
  • 7Fine-mapped variants
  • 7binding sites
  • 7histone modifications
  • 7variant allelic effects
  • 6caQTL
  • 4differential activity
Annotation Category
  • 3Gene expression levels
  • 1cis-regulatory elements
Annotation type Category
  • 3RNA-seq
  • 1ATAC-seq
Available data
  • 2tsv
File set status
  • 4released
Organism
  • 4Homo sapiens
Biosample type
  • 4tissue
Biosample term
  • 4skeletal muscle
Organ
  • 92epithelium
  • 56kidney
  • 33pancreas
  • 21vasculature
  • 18connective tissue
  • 15blood vessel
  • 7liver
  • 6adipose tissue
  • 4artery
  • 4musculature of body
  • 2lymphatic vessel
Life stage
  • 4adult
Date released
  • 2October, 2025
  • 1February, 2024
  • 1March, 2025
Software used
  • 2deseq2
  • 2dreamlet
Lab
  • 4AMP-T2D consortium
Project
  • 4AMP
Collection Tags
  • 4STARNET
RFA
  • 4AMP

Showing 4 of 4 results

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  • FileSet

    DSR102339

    released

    Annotation file set: The dataset contains differentially accessible cCREs between CAD and control in human skeletal muscle, derived from STARNET ATAC-seq data (milestone 17).
    Lab: AMP-T2D consortium
    Project: AMP
  • FileSet

    DSR553091

    released

    Annotation file set: The dataset contains differentially expressed genes between CAD and control in human skeletal muscle, derived from STARNET RNA-seq data (milestone 17).
    Lab: AMP-T2D consortium
    Project: AMP
  • FileSet

    DSR489AMO

    released

    Annotation file set: Tissue-specific differentially expressed genes for CAD case/control status from STARNET bulk RNA seq data for skeletal muscle (FDR=10%)
    Lab: AMP-T2D consortium
    Project: AMP
  • FileSet

    DSR712UEE

    released

    Annotation file set: Tissue-specific differentially expressed genes for CAD case/control status from STARNET bulk RNA seq data for skeletal muscle (FDR=10%)
    Lab: AMP-T2D consortium
    Project: AMP
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