Author

Daria Zhernakova

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetics· 2 Genomics· 1

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Research Focus:eQTL / molecular QTL mapping· 3 Organism:human· 3 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Marc Jan BonderiD· 3 shared Patrick DeeleniD· 3 shared Albert HofmaniD· 2 shared Alexandra ZhernakovaiD· 2 shared André G. Uitterlinden· 2 shared Carla J.H. van der Kallen· 2 shared Coen D.A. StehouweriD· 2 shared Diana van HeemstiD· 2 shared

Activity by Year

2014-2017 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenetics

Marc Jan BonderORCID

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3 papers

Recent·Most cited

Disease variants alter transcription factor levels and methylation of their binding sites

Marc Jan Bonder, René Luijk, Daria Zhernakova, Matthijs Moed, Patrick Deelen, Martijn Vermaat, Maarten van Iterson, Freerk van Dijk, Michiel van Galen, Jan Bot, Roderick C. Slieker, P. Mila Jhamai, Michael Verbiest, H. Eka D. Suchiman, Marijn Verkerk, , C

The paper identifies trans-meQTLs linking disease variants to methylation changes at transcription factor binding sites, revealing eight-fold more downstream effects than trans-eQTLs.

Nature Genetics · Jan 1, 2017Peer-reviewedGenomics

Hypothesis-free identification of modulators of genetic risk factors

Daria Zhernakova, Patrick Deelen, Martijn Vermaat, Maarten van Iterson, Michiel van Galen, Wibowo Arindrarto, Peter van t Hof, Hailiang Mei, Freerk van Dijk, Harm-Jan Westra, Marc Jan Bonder, Jeroen van Rooij, Marijn Verkerk, P. Mila Jhamai, Matthijs Moed, , Dorret

The paper identifies context-dependent eQTLs in peripheral blood RNA-seq data from Dutch individuals using a hypothesis-free approach, revealing gene expression influenced by cell type and signaling pathways.

Nature Genetics · Dec 5, 2016Peer-reviewedGenetics

Calling genotypes from public RNA-sequencing data enables identification of genetic variants that affect gene-expression levels

Patrick Deelen, Daria Zhernakova, Mark de Haan, Marijke van der Sijde, Marc Jan Bonder, Juha Karjalainen, K. Joeri van der Velde, Kristin M. Abbott, Jingyuan Fu, Cisca Wijmenga, Richard J. Sinke, Morris A. Swertz, Lude Franke

The paper identifies genetic variants affecting gene expression using genotypes derived from public RNA-seq data, finding cis-eQTLs for 8,034 genes and strong ASE effects for 34 rare pathogenic variants.

bioRxiv · Aug 1, 2014Genetics