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dc.contributor.authorStrunz, Tobias
dc.contributor.authorGrassmann, Felix
dc.contributor.authorGayán, Javier
dc.contributor.authorNahkuri, Satu
dc.contributor.authorSouza-Costa, Debora
dc.contributor.authorMaugeais, Cyrille
dc.contributor.authorFauser, Sascha
dc.contributor.authorNogoceke, Everson
dc.contributor.authorWeber, Bernhard H.F.
dc.date.accessioned2020-08-03T14:40:00Z
dc.date.available2020-08-03T14:40:00Z
dc.date.issued2018-04-12
dc.identifier.citationStrunz , 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-zen
dc.identifier.issn2045-2322
dc.identifier.otherPURE: 160374431
dc.identifier.otherPURE UUID: a818e721-a689-4a02-a4bf-97def7086231
dc.identifier.otherScopus: 85045434891
dc.identifier.otherPubMed: 29650998
dc.identifier.otherORCID: /0000-0003-1390-7528/work/76976773
dc.identifier.urihttps://hdl.handle.net/2164/14844
dc.descriptionTS 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).en
dc.format.extent11
dc.language.isoeng
dc.relation.ispartofScientific Reportsen
dc.rightsOpen Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Te images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.en
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectdata miningen
dc.subjectGene expressionen
dc.subjectQR Microbiologyen
dc.subjectGeneralen
dc.subjectSupplementary Dataen
dc.subject.lccQRen
dc.titleA mega-analysis of expression quantitative trait loci (eQTL) provides insight into the regulatory architecture of gene expression variation in liveren
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Medical Sciencesen
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.1038/s41598-018-24219-z
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85045434891&partnerID=8YFLogxKen
dc.identifier.vol8en


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