Author

Reyhan Sönmez Flitman

SIB Swiss Institute of BioinformaticsORCID 0000-0002-4556-4075Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Organism:human· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:differential expression· 1 Research Focus:eQTL / molecular QTL mapping· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

Sven BergmanniD· 2 shared Zoltán KutalikiD· 2 shared Alex William HewittiD· 1 shared Alexander TeumeriD· 1 shared Anand Kumar AndiappaniD· 1 shared Andrew Anand BrowniD· 1 shared Anette KalnapenkisiD· 1 shared Anke TönjesiD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenomics

Sven BergmannORCID

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2 papers

Recent·Most cited

Unraveling the polygenic architecture of complex traits using blood eQTL meta-analysis

Urmo Võsa, Annique Claringbould, Harm-Jan Westra, Marc Jan Bonder, Patrick Deelen, Biao Zeng, Holger Kirsten, Ashis Saha, Roman Kreuzhuber, Seyhan Yazar, Harm Brugge, Roy Oelen, Dylan H. de Vries, Monique G.P. van der Wijst, Silva Kasela, , Bruce M. Psaty

The paper uses blood eQTL meta-analysis to explore the polygenic architecture of complex traits, finding that trans-eQTLs are more informative for identifying causal genes than cis-eQTLs.

Nature Genetics · Sep 1, 2021Peer-reviewedGenomics

Untargeted metabolome- and transcriptome-wide association study identifies causal genes modulating metabolite concentrations in urine

Reyhan Sönmez Flitman, Bita Khalili, Zoltán Kutalik, Rico Rueedi, Sven Bergmann

This study identifies causal genes modulating urine metabolite concentrations by integrating metabolomics and transcriptomics data through mQTL analysis and Mendelian randomization.

bioRxiv · May 22, 2020 · PreprintGenomics