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

Authors :
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
Source :
Nature Communications, Vol 11, Iss 1, Pp 1-14 (2020)
Publication Year :
2020
Publisher :
Nature Portfolio, 2020.

Abstract

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.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.1e9cd2a221bf4b5fa3193842e74efdfa
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-020-18581-8