Article
Cell Specific eQTL Analysis without Sorting Cells.
PLoS genetics - 1 May 2015
Westra Harm-Jan, Arends Danny, Esko Tõnu, Peters Marjolein J, Schurmann Claudia, Schramm Katharina, Kettunen Johannes, Yaghootkar Hanieh, Fairfax Benjamin P, Andiappan Anand Kumar, Li Yang, Fu Jingyuan, Karjalainen Juha, Platteel Mathieu, Visschedijk Marijn, Weersma Rinse K, Kasela Silva, Milani Lili, Tserel Liina, Peterson Pärt, Reinmaa Eva, Hofman Albert, Uitterlinden André G, Rivadeneira Fernando, Homuth Georg, Petersmann Astrid, Lorbeer Roberto, Prokisch Holger, Meitinger Thomas, Herder Christian, Roden Michael, Grallert Harald, Ripatti Samuli, Perola Markus, Wood Andrew R, Melzer David, Ferrucci Luigi, Singleton Andrew B, Hernandez Dena G, Knight Julian C, Melchiotti Rossella, Lee Bernett, Poidinger Michael, Zolezzi Francesca, Larbi Anis, Wang De Yun, van den Berg Leonard H, Veldink Jan H, Rotzschke Olaf, Makino Seiko, Salomaa Veikko, Strauch Konstantin, Völker Uwe, van Meurs Joyce B J, Metspalu Andres, Wijmenga Cisca, Jansen Ritsert C, Franke Lude
Abstract excerpt
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...
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