Systematic identification of trans eQTLs as putative drivers of known disease associations
University Medical Center Groningen · University of Groningen · +35 more institutions
Abstract
Identifying the downstream effects of disease-associated SNPs is challenging. To help overcome this problem, we performed expression quantitative trait locus (eQTL) meta-analysis in non-transformed peripheral blood samples from 5,311 individuals with replication in 2,775 individuals. We identified and replicated trans eQTLs for 233 SNPs (reflecting 103 independent loci) that were previously associated with complex traits at genome-wide significance. Some of these SNPs affect multiple genes in trans that are known to be altered in individuals with disease: rs4917014, previously associated with systemic lupus erythematosus (SLE), altered gene expression of C1QB and five type I interferon response genes, both…
Citation impact
- FWCI
- 103.80
- Percentile
- 100%
- References
- 62
Authors
59- HWHarm-Jan WestraCorresponding
University Medical Center Groningen, University of Groningen
- MJMarjolein J. Peters
Netherlands Consortium for Healthy Ageing, Erasmus University Rotterdam
- TETōnu Esko
University of Tartu
- HYHanieh Yaghootkar
University of Exeter
- CSClaudia Schurmann
Universitätsmedizin Greifswald
Topics & keywords
- Expression quantitative trait loci
- Biology
- Genetics
- Quantitative trait locus
- Genome-wide association study
- Single-nucleotide polymorphism
- Gene
- Genetic association
- Good health and well-being