Author

Katherine E. Tansey

Cardiff UniversityORCID 0000-0002-9663-3376Unclaimed 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· 4 Approach:statistical model· 4 Research Focus:GWAS / association mapping· 3 Organism:human· 3 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:matrix factorization· 1

Frequent Co-Authors

Anna Placentino· 3 shared ANNE E. FARMER· 3 shared Cathryn M. LewisiD· 3 shared Charles J. C. CurtisiD· 3 shared Chiara FabbriiD· 3 shared Daniel SoueryiD· 3 shared Gerome D. BreeniD· 3 shared Glyn LewisiD· 3 shared

Activity by Year

2017-2018 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenetics

Anna Placentino

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Author profile →

4 papers

Recent·Most cited

Effect of cytochrome CYP2C19 metabolizing activity on antidepressant response and side effects: meta-analysis of data from genome-wide association studies

Chiara Fabbri, Katherine E. Tansey, Roy H. Perlis, Joanna Hauser, Neven Henigsberg, Wolfgang Maier, Ole N Mors, Anna Placentino, Marcella Rietschel, Daniel Souery, Gerome D. Breen, Charles J. C. Curtis, Sang‐Hyuk Lee, Stephen Newhouse, Hamel Patel, , Cathryn M. Lewis

This paper conducts a meta-analysis showing that CYP2C19 poor metabolizers have better antidepressant efficacy but similar side effects compared to extensive metabolizers.

European Neuropsychopharmacology · Jun 28, 2018Peer-reviewedGenetics

Causal Analyses, Statistical Efficiency And Phenotypic Precision Through Recall-By-Genotype Study Design

Laura J. Corbin, Vanessa Y. Tan, David A. Hughes, Kaitlin Hazel Wade, Dirk S. Paul, Katherine E. Tansey, Frances Charlotte Butcher, Frank Dudbridge, Joanna M. M. Howson, Momodou W. Jallow, Catherine John, Nathalie Kingston, Cecilia M. Lindgren, Michael O’Donavan, Stephen O’Rahilly, , Nicholas John Timpson

This paper introduces the Recall-by-Genotype study design to improve causal inference in genetic studies through genotype-directed deep-phenotyping.

Nature Communications · Feb 13, 2018Peer-reviewedGenetics

New insights on the pharmacogenomics of antidepressant response from the GENDEP and STAR*D studies: rare variant analysis and high-density imputation

Chiara Fabbri, Katherine E. Tansey, Roy H. Perlis, Joanna Hauser, Neven Henigsberg, Wolfgang Maier, Ole N Mors, Anna Placentino, Marcella Rietschel, Daniel Souery, Gerome D. Breen, Charles J. C. Curtis, L Sang-Hyuk, Stephen Newhouse, Hamel Patel, , Cathryn M. Lewis

This study identifies two SNPs associated with antidepressant response in GENDEP and STAR*D studies but finds limited replication in independent cohorts.

The Pharmacogenomics Journal · Nov 21, 2017Peer-reviewedGenomics

Pharmacogenetics of antidepressant response: a polygenic approach

Judit García‐González, Katherine E. Tansey, Joanna Hauser, Neven Henigsberg, Wolfgang Maier, Ole N Mors, Anna Placentino, Marcella Rietschel, Daniel Souery, Tina Žagar, Piotr M. Czerski, Borut Jerman, Henriette N. Buttenschøn, Thomas G. Schulze, Astrid W. Zobel, , Chiara Fabbri

This study investigates whether polygenic risk scores (PRS) can predict antidepressant response in MDD, finding no significant predictive effect.

Progress in Neuro-Psychopharmacology and Biological Psychiatry · Jan 31, 2017Peer-reviewedGenetics