Cell specific eQTL analysis without sorting cells

Harm-Jan Westra,Danny Arends,Tõnu Esko,Marjolein J. Peters,Claudia Schurmann,Katharina Schramm,Johannes Kettunen,Hanieh Yaghootkar,Benjamin Fairfax,Anand Kumar Andiappan,Yang Li,Jingyuan Fu,Juha Karjalainen,Mathieu Platteel,Marijn Visschedijk,Rinse 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,Adrew 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, Timouthy Frayling,Veikko Salomaa,Konstantin Strauch,Uwe Völker,Joyce B.J. van Meurs,Andres Metspalu,Cisca Wijmenga,Ritsert C. Jansen,Lude Franke

crossref（2014）

引用 0|浏览2

暂无评分

摘要

Expression quantitative trait locus (eQTL) mapping on tissue, organ or whole organism data can detect associations that are generic across cell types. We describe a new method to focus upon specific cell types without first needing to sort cells. We applied the method to whole blood data from 5,683 samples and demonstrate that SNPs associated with Crohns disease preferentially affect gene expression within neutrophils.

查看译文

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要