Author

Christopher S. Franklin

Wellcome Sanger Institute

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

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Genetics· 4

Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 4 Organism:human· 4 Approach:statistical model· 4 Research Focus:GWAS / association mapping· 3 Research Focus:fine-mapping· 1

Frequent Co-Authors

Hakon H. HakonarsoniD· 3 shared Aaron Day-Williams· 2 shared Andreas F. K. KarwautziD· 2 shared Angela FavaroiD· 2 shared Anke HinneyiD· 2 shared Anna Keski‐RahkoneniD· 2 shared Beate Herpertz‐DahlmanniD· 2 shared Claudette Boni· 2 shared

Activity by Year

2017-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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3 shared papersGenetics

Hakon H. HakonarsonORCID

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4 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

Low-frequency variation in TP53 has large effects on head circumference and intracranial volume

Simon J. Haworth, Chin Yang Shapland, Caroline Hayward, Bram Peter Prins, Janine F. Felix, Carolina Medina‐Gómez, Fernando Rivadeneira, Carol A. Wang, Tarunveer S. Ahluwalia, Martine Vrijheid, Mònica Guxens, Jordi Sunyer, Ioanna Tachmazidou, Klaudia Walter, Valentina Iotchkova, , David K. Jackson

The paper identifies 9 novel genetic loci, including low-frequency variants in TP53, associated with head circumference and intracranial volume in up to 46,000 individuals.

Nature Communications · Jan 21, 2019Peer-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

Phenome-wide association studies (PheWAS) across large "real-world data" population cohorts support drug target validation

Dorothée Diogo, Chao Tian, Christopher S. Franklin, Mervi Alanne-Kinnunen, Michael March, Chris C. A. Spencer, Ciara Vangjeli, Michael E. Weale, Hannele Mattsson, Elina Kilpeläinen, Patrick M. Abou‐Sleiman, Dermot F. Reilly, Joshua J. McElwee, Joseph Maranville, Arnaub K. Chatterjee, , Heiko Runz

The paper uses PheWAS across large cohorts to identify genetic associations with drug targets and predict drug safety and efficacy.

bioRxiv · Nov 13, 2017 · PreprintGenetics