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TIGER: The gene expression regulatory variation landscape of human pancreatic islets.
- Source :
-
Cell reports [Cell Rep] 2021 Oct 12; Vol. 37 (2), pp. 109807. - Publication Year :
- 2021
-
Abstract
- Genome-wide association studies (GWASs) identified hundreds of signals associated with type 2 diabetes (T2D). To gain insight into their underlying molecular mechanisms, we have created the translational human pancreatic islet genotype tissue-expression resource (TIGER), aggregating >500 human islet genomic datasets from five cohorts in the Horizon 2020 consortium T2DSystems. We impute genotypes using four reference panels and meta-analyze cohorts to improve the coverage of expression quantitative trait loci (eQTL) and develop a method to combine allele-specific expression across samples (cASE). We identify >1 million islet eQTLs, 53 of which colocalize with T2D signals. Among them, a low-frequency allele that reduces T2D risk by half increases CCND2 expression. We identify eight cASE colocalizations, among which we found a T2D-associated SLC30A8 variant. We make all data available through the TIGER portal (http://tiger.bsc.es), which represents a comprehensive human islet genomic data resource to elucidate how genetic variation affects islet function and translates into therapeutic insight and precision medicine for T2D.<br />Competing Interests: Declaration of interests A.L.G.’s spouse is an employee of Genentech and holds stock options in Roche.<br /> (Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.)
- Subjects :
- Humans
Cyclin D2 genetics
Cyclin D2 metabolism
Databases, Genetic
Epigenome
Europe
Gene Frequency
Genetic Predisposition to Disease
Genome-Wide Association Study
Phenotype
Quantitative Trait Loci
Transcriptome
Zinc Transporter 8 genetics
Zinc Transporter 8 metabolism
Diabetes Mellitus, Type 2 genetics
Diabetes Mellitus, Type 2 metabolism
Genetic Variation
Genomics
Islets of Langerhans metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 2211-1247
- Volume :
- 37
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Cell reports
- Publication Type :
- Academic Journal
- Accession number :
- 34644572
- Full Text :
- https://doi.org/10.1016/j.celrep.2021.109807