Genetic predictors of response to serotonergic and noradrenergic antidepressants in major depressive disorder: a genome-wide analysis of individual-level data and a meta-analysis

Katherine E Tansey, Michel Guipponi, Nader Perroud, Guido Bondolfi, Enrico Domenici, David Evans, Stephanie K Hall, Joanna Hauser, Neven Henigsberg, Xiaolan Hu, Borut Jerman, Wolfgang Maier, Ole Mors, Michael O'Donovan, Tim J Peters, Anna Placentino, Marcella Rietschel, Daniel Souery, Katherine J Aitchison, Ian CraigAnne Farmer, Jens R Wendland, Alain Malafosse, Peter Holmans, Glyn Lewis, Cathryn M Lewis, Tine Bryan Stensbøl, Shitij Kapur, Peter McGuffin, Rudolf Uher

Research output: Contribution to journalArticle (Academic Journal)peer-review

94 Citations (Scopus)

Abstract

It has been suggested that outcomes of antidepressant treatment for major depressive disorder could be significantly improved if treatment choice is informed by genetic data. This study aims to test the hypothesis that common genetic variants can predict response to antidepressants in a clinically meaningful way.
Original languageEnglish
Pages (from-to)e1001326
JournalPLoS Medicine
Volume9
Issue number10
DOIs
Publication statusPublished - 2012

Fingerprint Dive into the research topics of 'Genetic predictors of response to serotonergic and noradrenergic antidepressants in major depressive disorder: a genome-wide analysis of individual-level data and a meta-analysis'. Together they form a unique fingerprint.

Cite this