Cell Specific eQTL Analysis without Sorting Cells

نویسندگان

  • Harm-Jan Westra
  • Danny Arends
  • Tõnu Esko
  • Marjolein J. Peters
  • Claudia Schurmann
  • Katharina Schramm
  • Johannes Kettunen
  • Hanieh Yaghootkar
  • Benjamin P. Fairfax
  • Anand Kumar Andiappan
  • Yang Li
  • Jingyuan Fu
  • Juha Karjalainen
  • Mathieu Platteel
  • Marijn Visschedijk
  • Rinse K. Weersma
  • Silva Kasela
  • Lili Milani
  • Liina Tserel
  • Pärt Peterson
  • Eva Reinmaa
  • Albert Hofman
  • André G. Uitterlinden
  • Fernando Rivadeneira
  • Georg Homuth
  • Astrid Petersmann
  • Roberto Lorbeer
  • Holger Prokisch
  • Thomas Meitinger
  • Christian Herder
  • Michael Roden
  • Harald Grallert
  • Samuli Ripatti
  • Markus Perola
  • Andrew R. Wood
  • David Melzer
  • Luigi Ferrucci
  • Andrew B. Singleton
  • Dena G. Hernandez
  • Julian C. Knight
  • Rossella Melchiotti
  • Bernett Lee
  • Michael Poidinger
  • Francesca Zolezzi
  • Anis Larbi
  • De Yun Wang
  • Leonard H. van den Berg
  • Jan H. Veldink
  • Olaf Rotzschke
  • Seiko Makino
  • Veikko Salomaa
  • Konstantin Strauch
  • Uwe Völker
  • Joyce B. J. van Meurs
  • Andres Metspalu
  • Cisca Wijmenga
  • Ritsert C. Jansen
  • Lude Franke
چکیده

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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عنوان ژورنال:

دوره 11  شماره 

صفحات  -

تاریخ انتشار 2015