Cell Specific eQTL Analysis without Sorting Cells
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.
References
Combining probability from independent tests: the weighted Z-method is superior to Fisher's approach
Genetic variants associated with the white blood cell count in 13,923 subjects in the eMERGE Network
Citations
TOAST: improving reference-free cell composition estimation by cross-cell type differential analysis
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