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ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
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Summary statistics for the InsPIRE consortium (pancreatic islets eQTLs)

Authors: Ana Viñuela; Arushi Varshney; Martijn van de Bunt; Rashmi Prasad; Olof Asplund; Amanda Bennett; Michael Boehnke; +28 Authors

Summary statistics for the InsPIRE consortium (pancreatic islets eQTLs)

Abstract

Summary statistics for the InsPIRE study: Influence of genetic variants on gene expression in human pancreatic islets – implications for type 2 diabetes This datasets includes eQTLs from 420 pancreatic islets (exon and gene level quantifications) and 27 beta-cells FAC sorted (exon quantifications) form RNA-Seq samples. Full summary statistics and independent associations are included. The full description of methods is currently available here: Bioxiv (https://www.biorxiv.org/content/10.1101/655670v1).

Keywords

Beta-cells, eQTLs, Pancreatic islets, T2D

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average