Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

TIGER

General information

URL: http://tiger.bsc.es
Full name: Translational Human Pancreatic Islet Genotype Tissue-Expression Resource
Description: The TIGER resource developed within the T2DSystems consortium, enables an integrative exploration of the genetic and epigenetic basis of the development of Type 2 Diabetes, together with other associated functional, molecular and clinical data, centered in the biology and the role of pancreatic beta cells.
Year founded: 2021
Last update: 2021-07-15
Version: v7
Accessibility:
Accessible
Country/Region: Belgium

Funding support

  • 667191
  • FJCI-2017-31878
  • 115881

Classification & Tag

Data type:
DNA
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: Universite Libre de Bruxelles
Address: Univ Libre Bruxelles, ULB Ctr Diabet Res, B-1070 Brussels, Belgium
City:
Province/State:
Country/Region: Belgium
Contact name (PI/Team): Miriam Cnop
Contact email (PI/Helpdesk): mcnop@ulb.ac.be

Publications

34644572
TIGER: The gene expression regulatory variation landscape of human pancreatic islets. [PMID: 34644572]
Lorena Alonso, Anthony Piron, Ignasi Morán, Marta Guindo-Martínez, Sílvia Bonàs-Guarch, Goutham Atla, Irene Miguel-Escalada, Romina Royo, Montserrat Puiggròs, Xavier Garcia-Hurtado, Mara Suleiman, Lorella Marselli, Jonathan L S Esguerra, Jean-Valéry Turatsinze, Jason M Torres, Vibe Nylander, Ji Chen, Lena Eliasson, Matthieu Defrance, Ramon Amela, null null, Hindrik Mulder, Anna L Gloyn, Leif Groop, Piero Marchetti, Decio L Eizirik, Jorge Ferrer, Josep M Mercader, Miriam Cnop, David Torrents

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.

Cell Rep. 2021:37(2) | 69 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
666/6895 (90.355%)
Gene genome and annotation:
232/2021 (88.57%)
Health and medicine:
239/1738 (86.306%)
666
Total Rank
61
Citations
15.25
z-index

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Record metadata

Created on: 2022-04-23
Curated by:
Lina Ma [2022-06-07]
Pei Liu [2022-05-15]
Sicheng Luo [2022-04-23]