Genomics

Dataset Information

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Ena-DATASET-OCDEM-04-09-2015-16:46:25:090-47 - samples


ABSTRACT: The intersection of genome-wide association analyses with physiological and functional data indicates that variants regulating islet gene transcription influence type 2 diabetes (T2D) predisposition and glucose homeostasis. However, the specific genes through which these regulatory variants act remain poorly characterized. To identify such effector transcripts for T2D and glycemic traits, we generated expression quantitative trait locus (eQTL) data in 118 human islet samples using RNA-sequencing and high-density genotyping.

PROVIDER: EGAD00001001601 | EGA |

REPOSITORIES: EGA

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Publications

Transcript Expression Data from Human Islets Links Regulatory Signals from Genome-Wide Association Studies for Type 2 Diabetes and Glycemic Traits to Their Downstream Effectors.

van de Bunt Martijn M   Manning Fox Jocelyn E JE   Dai Xiaoqing X   Barrett Amy A   Grey Caleb C   Li Lei L   Bennett Amanda J AJ   Johnson Paul R PR   Rajotte Raymond V RV   Gaulton Kyle J KJ   Dermitzakis Emmanouil T ET   MacDonald Patrick E PE   McCarthy Mark I MI   Gloyn Anna L AL  

PLoS genetics 20151201 12


The intersection of genome-wide association analyses with physiological and functional data indicates that variants regulating islet gene transcription influence type 2 diabetes (T2D) predisposition and glucose homeostasis. However, the specific genes through which these regulatory variants act remain poorly characterized. We generated expression quantitative trait locus (eQTL) data in 118 human islet samples using RNA-sequencing and high-density genotyping. We identified fourteen loci at which  ...[more]

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