A mega-analysis of expression quantitative trait loci (eQTL) provides insight into the regulatory architecture of gene expression variation in liver

Strunz, TobiasGrassmann, FelixGayán, JavierNahkuri, SatuSouza-Costa, DeboraMaugeais, CyrilleFauser, SaschaNogoceke, EversonWeber, Bernhard H.F.2020-08-032020-08-032018-04-12Strunz, T, Grassmann, F, Gayán, J, Nahkuri, S, Souza-Costa, D, Maugeais, C, Fauser, S, Nogoceke, E & Weber, B H F 2018, 'A mega-analysis of expression quantitative trait loci (eQTL) provides insight into the regulatory architecture of gene expression variation in liver', Scientific Reports, vol. 8, 5865. https://doi.org/10.1038/s41598-018-24219-z2045-2322ORCID: /0000-0003-1390-7528/work/76976773https://hdl.handle.net/2164/14844TS was an awardee of the Roche Internships for Scientific Exchange (RiSE) Programme. The work has been supported in part by institutional funds (TG77) of the Institute of Human Genetics Regensburg and by a grant from the Helmut Ecker Foundation (Ingolstadt, Germany) to BHFW (No. 05/17).111737428engSDG 3 - Good Health and Well-beingdata miningGene expressionQR MicrobiologyGeneralSupplementary DataQRA mega-analysis of expression quantitative trait loci (eQTL) provides insight into the regulatory architecture of gene expression variation in liverJournal article10.1038/s41598-018-24219-zhttp://www.scopus.com/inward/record.url?scp=85045434891&partnerID=8YFLogxK8