TIGER: The gene expression regulatory variation landscape of human pancreatic islets

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 is...

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Detalles Bibliográficos
Autores: Alonso, Lorena, Piron, Anthony, Morán, Ignasi, Guindo Martínez, Marta, Bonàs Guarch, Sílvia, Royo, Romina|||0000-0003-3493-0874, Puiggròs, Montserrat, Amela, Ramon, Mercader, Josep M., Torrents, David
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/355658
Acceso en línea:https://hdl.handle.net/2117/355658
https://dx.doi.org/10.1016/j.celrep.2021.109807
Access Level:acceso abierto
Palabra clave:Pancreatic islets
Gene expression.
Expression quantitative trait locus (eQTL)
RNA-seq
Regulatory variation
Epigenomics
Allele-specific expression
Type 2 diabetes
Beta cell
Genome-wide association study (GWAS)
Transcriptome
Genòmica -- Informàtica
Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica
Descripción
Sumario: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.