Expression quantitative trait locus mapping in human pancreatic islets of Langerhans

Dataset ID Technology Samples
EGAD00001001601 Illumina HiSeq 2000 118

Dataset Description

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.

Who controls access to this dataset

For each dataset that requires controlled access, there is a corresponding Data Access Committee (DAC) who determine access permissions. Access to actual data files is not managed by the EGA. If you need to request access to this data set, please contact:

Oxford Human Islet Data Access Committee
Contact person: Anna L Gloyn
Email: agloyn [at] stanford [dot] edu
More details: EGAC00001000335


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