Nature Communications (Sep 2020)

Genetic variant effects on gene expression in human pancreatic islets and their implications for T2D

  • Ana Viñuela,
  • Arushi Varshney,
  • Martijn van de Bunt,
  • Rashmi B. Prasad,
  • Olof Asplund,
  • Amanda Bennett,
  • Michael Boehnke,
  • Andrew A. Brown,
  • Michael R. Erdos,
  • João Fadista,
  • Ola Hansson,
  • Gad Hatem,
  • Cédric Howald,
  • Apoorva K. Iyengar,
  • Paul Johnson,
  • Ulrika Krus,
  • Patrick E. MacDonald,
  • Anubha Mahajan,
  • Jocelyn E. Manning Fox,
  • Narisu Narisu,
  • Vibe Nylander,
  • Peter Orchard,
  • Nikolay Oskolkov,
  • Nikolaos I. Panousis,
  • Anthony Payne,
  • Michael L. Stitzel,
  • Swarooparani Vadlamudi,
  • Ryan Welch,
  • Francis S. Collins,
  • Karen L. Mohlke,
  • Anna L. Gloyn,
  • Laura J. Scott,
  • Emmanouil T. Dermitzakis,
  • Leif Groop,
  • Stephen C. J. Parker,
  • Mark I. McCarthy

DOI
https://doi.org/10.1038/s41467-020-18581-8
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 14

Abstract

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Mechanistic inference following GWAS is hampered by the lack of tissue-specific transcriptomic resources. Here the authors combine genetic variants predisposing to type 2 diabetes with human pancreatic islet RNA-seq data. They identify 7741 islet expression quantitative trait loci (eQTLs), providing a resource for functional interpretation of association signals mapping to non-coding sequence.