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‘Big data’ revolution gives new insight into how diseases develop

New paper in Nature Genetics
09 September 2013

Systematic identification of trans eQTLs as putative drivers of known disease associations

Harm-Jan Westra, ... Alexandra Zhernakova, Daria V Zhernakova, ... Juha Karjalainen, Sebo Withoff, ... Yang Li, Ritsert C Jansen, ... Lude Franke
Dept of Genetics, UMCG, Groningen

Published in Nature Genetics online: 08 September 2013 | doi:10.1038/ng.2756

Lude Franke and colleagues report the results of a large expression QTL study performed on peripheral blood samples from 5,311 individuals. They identify trans-eQTL effects for 103 independent loci that were previously associated with complex traits at genome-wide significance, suggesting that this approach can provide insights into the downstream effects of many trait-associated variants.

Link to full text of paper

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Last modified:28 October 2016 9.47 p.m.
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