Author

Katharina Buehren

RWTH Aachen University

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· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:GWAS / association mapping· 2 Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Assay:GWAS summary statistics· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Andreas J. ForstneriD· 2 shared Angela FavaroiD· 2 shared Anke HinneyiD· 2 shared Antonio JuliàiD· 2 shared Beate Herpertz‐DahlmanniD· 2 shared Christian Dina CiD· 2 shared Christopher HübeliD· 2 shared Claudette Boni· 2 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenomics

Andreas J. ForstnerORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Genetic Identification of Cell Types Underlying Brain Complex Traits Yields Novel Insights Into the Etiology of Parkinson's Disease

Julien Bryois, Nathan Skene, Thomas Folkmann Hansen, Lisette J. A. Kogelman, Hunna J. Watson, Zijing Liu, Roger A.H. Adan, Lars S. Alfredsson, Tetsuya Ando, Ole A. Andreassen, Jessica H. Baker, Andrew W. Bergen, Wade H. Berrettini, Andreas Birgegård, Joseph M. Boden, , Jaakko A. Kaprio

This study identifies cell types associated with brain complex traits using GWAS and single-cell transcriptomics, revealing novel roles for oligodendrocytes in Parkinson's disease.

Nature Genetics · Apr 27, 2020Peer-reviewedGenomics

Shared Genetic Risk between Eating Disorder- and Substance-Use-Related Phenotypes: Evidence from Genome-Wide Association Studies

Melissa A. Munn‐Chernoff, Emma C. Johnson, Yi‐Ling Chou, Jonathan R. I. Coleman, Laura M. Thornton, Raymond Kenney Walters, Zeynep Yılmaz, Jessica H. Baker, Christopher Hübel, Scott D. Gordon, Sarah Elizabeth Medland, Hunna J. Watson, Héléna A. Gaspar, Julien Bryois, Anke Hinney, , Maria C. La Via

The paper estimates genetic correlations between eating disorder and substance-use-related phenotypes using GWAS data, finding both positive and negative associations.

Addiction Biology · Feb 16, 2020Peer-reviewedGenetics