ABSTRACT: This dataset contains paired-end RNA sequencing data of blood CD34+ cells from random blood donors (155 paired-end FastQ files).
The data were used to perform expression quantitative trait locus (eQTL) analysis.
Project description:The aim of the project was to perform expression quantitative trait locus (eQTL) analysis in blood CD34+ cells from random blood donors.
Project description:This study aimed to perform gene expression quantitative trait locus mapping (eQTL) in the livers of a panel of 36 laboratory inbred strains. Mice were dosed with a saline solution by oral gavage and sacrificed at 24 hours. Livers were removed at sacrifice, RNA was extracted and gene expression was assayed using the Agilent G4121A array. Keywords: eQTL, mouse, liver
Project description:We performed an unbiased genome-wide expression quantitative trait locus (eQTL) mapping study to identify common regulatory (expression) single nucleotide polymorphisms (eSNPs) in mid-secretory endometrium.
Project description:Statins reduce cardiovascular disease risk by lowering plasma low density lipoprotein (LDL)-cholesterol. To identify novel pathways that modulate statin response, we assessed the influence of simvastatin exposure on expression quantitative trait locus (eQTL) associations across the genome in 480 lymphoblastoid cell lines (LCLs). Cell lines were derived blood samples collected ant entry visit from participants in the Cholesterol and Pharmacogenomics (CAP) trial, who underwent a 6 week 40mg/day simvastatin trial. We identified 4590 cis-eQTLS that were independent of treatment status (FDR=1%) and six cis-eQTLS for which there was evidence of an interaction with treatment (FDR=20%). Genotypes and Phenotypes derived from these indivudals are available through dbGaP (Accession Number). eQTL results are available at: http://eqtl.uchicago.edu/cgi=bin/gbrowse/eqtl/ Dataset consists of 960 expression beadarrays (Illumina HumanRef-8v3) representing paired samples derived from 24-hour exposures of 480 lymphoblastoid cell lines (LCLs) to 2 micromolar simvastatin acid or control buffer.
Project description:This is a genome-wide association study performed in Sjogrens syndrome in which gene expression data was used in conjunction with genotype data to perform expression quantitative trait loci (eQTL) analysis.
Project description:In recent years genome-wide association studies (GWAS) have uncovered numerous chromosomal loci associated with various electrocardiographic traits and cardiac arrhythmia predisposition. A considerable fraction of these loci lie within inter-genic regions. Trait-associated SNPs located in putative regulatory regions likely exert their effect by modulating gene expression. Hence, the key to unraveling the molecular mechanisms underlying cardiac traits is to interrogate variants for association with differential transcript abundance by expression quantitative trait locus (eQTL) analysis. In this study we conducted an eQTL analysis of human heart. To this end, left ventricular mycardium samples from non-diseased human donor hearts were hybridized to Illumina HumanOmniExpress BeadChips for genotyping (n = 129) and Illumina Human HT12 Version 4 BeadChips (n = 129) for transcription profiling.
Project description:In recent years genome-wide association studies (GWAS) have uncovered numerous chromosomal loci associated with various electrocardiographic traits and cardiac arrhythmia predisposition. A considerable fraction of these loci lie within inter-genic regions. Trait-associated SNPs located in putative regulatory regions likely exert their effect by modulating gene expression. Hence, the key to unraveling the molecular mechanisms underlying cardiac traits is to interrogate variants for association with differential transcript abundance by expression quantitative trait locus (eQTL) analysis. In this study we conducted an eQTL analysis of human heart. To this end, left ventricular mycardium samples from non-diseased human donor hearts were hybridized to Illumina HumanOmniExpress BeadChips for genotyping (n = 129) and Illumina Human HT12 Version 4 BeadChips (n = 129) for transcription profiling.
Project description:This is a genome-wide association study performed in Sjogrens syndrome in which gene expression data was used in conjunction with genotype data to perform expression quantitative trait loci (eQTL) analysis. This is a case/control study.
Project description:In recent years genome-wide association studies (GWAS) have uncovered numerous chromosomal loci associated with various electrocardiographic traits and cardiac arrhythmia predisposition. A considerable fraction of these loci lie within inter-genic regions. Trait-associated SNPs located in putative regulatory regions likely exert their effect by modulating gene expression. Hence, the key to unraveling the molecular mechanisms underlying cardiac traits is to interrogate variants for association with differential transcript abundance by expression quantitative trait locus (eQTL) analysis. In this study we conducted an eQTL analysis of human heart. To this end, left ventricular mycardium samples from non-diseased human donor hearts were hybridized to Illumina HumanOmniExpress BeadChips for genotyping (n = 129) and Illumina Human HT12 Version 4 BeadChips (n = 129) for transcription profiling. To assess the genotypes of 129 human donor hearts from the study, genome-wide SNP genotyping was carried out using Illumina HumanOmniExpress Beadchips interrogating 733,202 genetic markers.