Strunz, Tobias and Grassmann, Felix and Gayan, Javier and Nahkuri, Satu and Souza-Costa, Debora and Maugeais, Cyrille and Fauser, Sascha and Nogoceke, Everson and Weber, Bernhard H. F. (2018) A mega-analysis of expression quantitative trait loci (eQTL) provides insight into the regulatory architecture of gene expression variation in liver. SCIENTIFIC REPORTS, 8: 5865. ISSN 2045-2322,
Full text not available from this repository. (Request a copy)Abstract
Genome-wide association studies (GWAS) have identified numerous genetic variants in the human genome associated with diseases and traits. Nevertheless, for most loci the causative variant is still unknown. Expression quantitative trait loci (eQTL) in disease relevant tissues is an excellent approach to correlate genetic association with gene expression. While liver is the primary site of gene transcription for two pathways relevant to age-related macular degeneration (AMD), namely the complement system and cholesterol metabolism, we explored the contribution of AMD associated variants to modulate liver gene expression. We extracted publicly available data and computed the largest eQTL data set for liver tissue to date. Genotypes and expression data from all studies underwent rigorous quality control. Subsequently, Matrix eQTL was used to identify significant local eQTL. In total, liver samples from 588 individuals revealed 202,489 significant eQTL variants affecting 1,959 genes (Q-Value < 0.001). In addition, a further 101 independent eQTL signals were identified in 93 of the 1,959 eQTL genes. Importantly, our results independently reinforce the notion that high density lipoprotein metabolism plays a role in AMD pathogenesis. Taken together, our study generated a first comprehensive map reflecting the genetic regulatory landscape of gene expression in liver.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | GENOME-WIDE ASSOCIATION; ESTER TRANSFER PROTEIN; MACULAR DEGENERATION; MENDELIAN RANDOMIZATION; HDL-CHOLESTEROL; COMPLEMENT; VARIANTS; POLYMORPHISM; METABOLISM; POPULATION; |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Lehrstuhl für Humangenetik |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 10 Mar 2020 13:11 |
| Last Modified: | 10 Mar 2020 13:11 |
| URI: | https://pred.uni-regensburg.de/id/eprint/14727 |
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