Dataset Information

Genetics of gene expression in primary human immune cells

ABSTRACT: The purpose of this study was to identify cell specific expression quantitative trait loci in freshly isolated highly purified primary B-cells and monocytes from healthy subjects of European ancestry. Cells were purified from Ficoll gradient prepared peripheral blood mononuclear cell fractions using positive selection via magnetic bead labelling of the B-cell marker CD19 and monocyte marker CD14. RNA was extracted from 287 B-cell samples and 288 monocyte samples. RNA was then hybridised to HumanHT-12 v4 BeadChips whole genome expression arrays (Illumina). Individuals were genotyped on HumanOmniExpress-12v1.0 BeadChips (Illumina) at 733202 genetic markers. Data presented include the raw expression values and Robust Spline Normalised values (RSN) for expression for each cell type per individual. Additional genotype data per individual is available on request.

PROVIDER: EGAS00000000109 | EGA |

REPOSITORIES: EGA

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Publications

Modelling local gene networks increases power to detect trans-acting genetic effects on gene expression.

Rakitsch Barbara B Stegle Oliver O

Genome biology 20160224

Expression quantitative trait loci (eQTL) mapping is a widely used tool to study the genetics of gene expression. Confounding factors and the burden of multiple testing limit the ability to map distal trans eQTLs, which is important to understand downstream genetic effects on genes and pathways. We propose a two-stage linear mixed model that first learns local directed gene-regulatory networks to then condition on the expression levels of selected genes. We show that this covariate selection app ...[more]

PMID: 26911988

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Dataset Information

Genetics of gene expression in primary human immune cells

Publications

Modelling local gene networks increases power to detect trans-acting genetic effects on gene expression.

Similar Datasets

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