Author

Anna Keski‐Rahkonen

University of HelsinkiORCID 0000-0002-6713-7488Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 3 Organism:human· 3 Approach:statistical model· 3 Research Focus:GWAS / association mapping· 2 Research Focus:fine-mapping· 1

Frequent Co-Authors

Andreas F. K. KarwautziD· 2 shared Angela FavaroiD· 2 shared Anke HinneyiD· 2 shared Beate Herpertz‐DahlmanniD· 2 shared Christopher S. Franklin· 2 shared Claudette Boni· 2 shared Daniela Degortes· 2 shared Danielle M. DickiD· 2 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenetics

Andreas F. K. KarwautzORCID

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3 papers

Recent·Most cited

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

Genome wide meta-analysis identifies genomic relationships, novel loci, and pleiotropic mechanisms across eight psychiatric disorders.

Phil Hyoun Lee, Verneri Anttila, Hyejung Won, Yen‐Chen Anne Feng, Jacob Rosenthal, Zhaozhong Zhu, Elliot M. Tucker–Drob, Michel Guillaume Nivard, Andrew David Grotzinger, Daniëlle Posthuma, Meg M.-J. Wang, Dongmei Yu, Eli Stahl, Raymond Kenney Walters, Richard Anney, , Jordan W. Smoller

Cross-disorder meta-analysis of eight psychiatric GWAS (232,964 cases, 494,162 controls) reports 109 loci shared by two or more disorders and three groups of correlated disorders.

bioRxiv · Jan 26, 2019 · PreprintGenomics

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