Cell Specific eQTL Analysis without Sorting Cells
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Author
Westra, Harm-Jan
Arends, Danny
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
Note: Order does not necessarily reflect citation order of authors.
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https://doi.org/10.1371/journal.pgen.1005223Metadata
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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.Other Sources
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4425538/pdf/Terms of Use
This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAACitable link to this page
http://nrs.harvard.edu/urn-3:HUL.InstRepos:16121084
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