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


ABSTRACT: Most signals detected by genome-wide association studies map to non-coding sequence and their tissue-specific effects influence transcriptional regulation. However, key tissues and cell-types required for functional inference are absent from large-scale resources. Here we explore the relationship between genetic variants influencing predisposition to type 2 diabetes (T2D) and related glycemic traits, and human pancreatic islet transcription using data from 420 donors. We find: (a) 7741 cis-eQTLs in islets with a replication rate across 44 GTEx tissues between 40% and 73%; (b) marked overlap between islet cis-eQTL signals and active regulatory sequences in islets, with reduced eQTL effect size observed in the stretch enhancers most strongly implicated in GWAS signal location; (c) enrichment of islet cis-eQTL signals with T2D risk variants identified in genome-wide association studies; and (d) colocalization between 47 islet cis-eQTLs and variants influencing T2D or glycemic traits, including DGKB and TCF7L2. Our findings illustrate the advantages of performing functional and regulatory studies in disease relevant tissues.

SUBMITTER: Vinuela A 

PROVIDER: S-EPMC7528108 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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

Viñuela Ana A   Varshney Arushi A   van de Bunt Martijn M   Prasad Rashmi B RB   Asplund Olof O   Bennett Amanda A   Boehnke Michael M   Brown Andrew A AA   Erdos Michael R MR   Fadista João J   Hansson Ola O   Hatem Gad G   Howald Cédric C   Iyengar Apoorva K AK   Johnson Paul P   Krus Ulrika U   MacDonald Patrick E PE   Mahajan Anubha A   Manning Fox Jocelyn E JE   Narisu Narisu N   Nylander Vibe V   Orchard Peter P   Oskolkov Nikolay N   Panousis Nikolaos I NI   Payne Anthony A   Stitzel Michael L ML   Vadlamudi Swarooparani S   Welch Ryan R   Collins Francis S FS   Mohlke Karen L KL   Gloyn Anna L AL   Scott Laura J LJ   Dermitzakis Emmanouil T ET   Groop Leif L   Parker Stephen C J SCJ   McCarthy Mark I MI  

Nature communications 20200930 1


Most signals detected by genome-wide association studies map to non-coding sequence and their tissue-specific effects influence transcriptional regulation. However, key tissues and cell-types required for functional inference are absent from large-scale resources. Here we explore the relationship between genetic variants influencing predisposition to type 2 diabetes (T2D) and related glycemic traits, and human pancreatic islet transcription using data from 420 donors. We find: (a) 7741 cis-eQTLs  ...[more]

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