Author

Oliver S. P. Davis

University of BristolORCID 0000-0002-6448-3684Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 5 Approach:statistical model· 5 Research Focus:GWAS / association mapping· 3 Assay:GWAS summary statistics· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Angela FavaroiD· 3 shared Anke HinneyiD· 3 shared Beate Herpertz‐DahlmanniD· 3 shared Claudette Boni· 3 shared Daniela Degortes· 3 shared Danielle M. DickiD· 3 shared Dimitris G. DikeosiD· 3 shared Fernando Fernández‐ArandaiD· 3 shared

Activity by Year

2018-2021 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenetics

Angela FavaroORCID

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Author profile →

5 papers

Recent·Most cited

Mapping the genetic and environmental aetiology of autistic traits in Sweden and the United Kingdom

Zoe E. Reed, Henrik Larsson, Claire M. A. Haworth, Dheeraj Rai, Sebastian Lundström, Angelica Ronald, Abraham Reichenberg, Paul Lichtenstein, Oliver S. P. Davis

The paper maps genetic and environmental influences on autistic traits across Sweden and the UK using twin study data, revealing geographical variations in their aetiology.

JCPP Advances · Oct 1, 2021Peer-reviewedGenetics

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

The association of DNA methylation with body mass index: distinguishing between predictors and biomarkers

Zoe E. Reed, Matthew J Suderman, Caroline Laura Relton, Oliver S. P. Davis, Gibran Hemani

This paper examines DNA methylation's association with BMI across different life stages, finding it explains limited BMI variance and is not a strong predictor of future BMI.

Clinical Epigenetics · Mar 30, 2020Peer-reviewedGenetics

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

Identifying tissues implicated in Anorexia Nervosa using Transcriptomic Imputation

Laura M. Huckins, Amanda L. Dobbyn, Whitney C. McFadden, Douglas M. Ruderfer, Weiqing Wang, Eric R. Gamazon, Virpi Leppä, Roger A.H. Adan, Tetsuya Ando, Jessica H. Baker, Andrew W. Bergen, Wade Berrettini, Andreas Birgegård, Claudette Boni, Vesna Boraska Perica, , Mario Maj

This paper uses transcriptomic imputation to identify gene-tissue associations linked to Anorexia Nervosa risk, finding significant links in both brain and metabolic tissues.

bioRxiv · Feb 14, 2018 · PreprintGenetics