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Cell Specific eQTL Analysis without Sorting Cells

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2015

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Public Library of Science
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Westra, H., D. Arends, T. Esko, M. J. Peters, C. Schurmann, K. Schramm, J. Kettunen, et al. 2015. “Cell Specific eQTL Analysis without Sorting Cells.” PLoS Genetics 11 (5): e1005223. doi:10.1371/journal.pgen.1005223. http://dx.doi.org/10.1371/journal.pgen.1005223.

Abstract

The functional consequences of trait associated SNPs are often investigated using expression quantitative trait locus (eQTL) mapping. While trait-associated variants may operate in a cell-type specific manner, eQTL datasets for such cell-types may not always be available. We performed a genome-environment interaction (GxE) meta-analysis on data from 5,683 samples to infer the cell type specificity of whole blood cis-eQTLs. We demonstrate that this method is able to predict neutrophil and lymphocyte specific cis-eQTLs and replicate these predictions in independent cell-type specific datasets. Finally, we show that SNPs associated with Crohn’s disease preferentially affect gene expression within neutrophils, including the archetypal NOD2 locus.

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