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

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

doi:10.1371/journal.pmed.1001326

Scientific article

Open access

English

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

Published inPLoS medicine, vol. 9, no. 10, e1001326

Publication date2012

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.

Keywords

Antidepressive Agents/therapeutic use
Depressive Disorder, Major/drug therapy/genetics
Female
Genome-Wide Association Study
Genotype
Humans
Linear Models
Male
Polymorphism, Genetic/genetics
Serotonin Uptake Inhibitors/therapeutic use
Treatment Outcome

Affiliation

Research group

Médecine psychosomatique, neurosciences cliniques et mindfulness (690)

Citation (ISO format)

TANSEY, Katherine E et al. 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. In: PLoS medicine, 2012, vol. 9, n° 10, p. e1001326. doi: 10.1371/journal.pmed.1001326

Article (Published version)

Identifiers

PID : unige:32274
DOI : 10.1371/journal.pmed.1001326
PMID : 23091423

ISSN of the journal1549-1277

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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

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