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 Craig; Anne Farmer; Jens R Wendland; Alain Malafosse; Peter Holmans; Glyn Lewis; Cathryn M Lewis; Tine Bryan Stensbøl; Shitij Kapur; Peter McGuffin; Rudolf Uher

doi:10.1371/journal.pmed.1001326

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 journal › Article (Academic Journal) › peer-review

109 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 language	English
Pages (from-to)	e1001326
Journal	PLoS Medicine
Volume	9
Issue number	10
DOIs	https://doi.org/10.1371/journal.pmed.1001326
Publication status	Published - 2012

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GENETIC CLINICAL AND ENDOCRINE PREDICTORS OF TREATMENT OUTCOME IN DEPRESSION
Lewis, G. H. (Principal Investigator)
1/02/04 → 1/06/08
Project: Research

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Tansey, K. E., Guipponi, M., Perroud, N., Bondolfi, G., Domenici, E., Evans, D., Hall, S. K., Hauser, J., Henigsberg, N., Hu, X., Jerman, B., Maier, W., Mors, O., O'Donovan, M., Peters, T. J., Placentino, A., Rietschel, M., Souery, D., Aitchison, K. J., ... Uher, R. (2012). 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. PLoS Medicine, 9(10), e1001326. https://doi.org/10.1371/journal.pmed.1001326

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title = "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",

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.",

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

year = "2012",

doi = "10.1371/journal.pmed.1001326",

language = "English",

volume = "9",

pages = "e1001326",

journal = "PLoS Medicine",

issn = "1549-1676",

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Tansey, KE, Guipponi, M, Perroud, N, Bondolfi, G, Domenici, E, Evans, D, Hall, SK, Hauser, J, Henigsberg, N, Hu, X, Jerman, B, Maier, W, Mors, O, O'Donovan, M, Peters, TJ, Placentino, A, Rietschel, M, Souery, D, Aitchison, KJ, Craig, I, Farmer, A, Wendland, JR, Malafosse, A, Holmans, P, Lewis, G, Lewis, CM, Stensbøl, TB, Kapur, S, McGuffin, P & Uher, R 2012, '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', PLoS Medicine, vol. 9, no. 10, pp. e1001326. https://doi.org/10.1371/journal.pmed.1001326

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 et al.
In: PLoS Medicine, Vol. 9, No. 10, 2012, p. e1001326.

Research output: Contribution to journal › Article (Academic Journal) › peer-review

TY - JOUR

T1 - Genetic predictors of response to serotonergic and noradrenergic antidepressants in major depressive disorder

T2 - a genome-wide analysis of individual-level data and a meta-analysis

AU - Tansey, Katherine E

AU - Guipponi, Michel

AU - Perroud, Nader

AU - Bondolfi, Guido

AU - Domenici, Enrico

AU - Evans, David

AU - Hall, Stephanie K

AU - Hauser, Joanna

AU - Henigsberg, Neven

AU - Hu, Xiaolan

AU - Jerman, Borut

AU - Maier, Wolfgang

AU - Mors, Ole

AU - O'Donovan, Michael

AU - Peters, Tim J

AU - Placentino, Anna

AU - Rietschel, Marcella

AU - Souery, Daniel

AU - Aitchison, Katherine J

AU - Craig, Ian

AU - Farmer, Anne

AU - Wendland, Jens R

AU - Malafosse, Alain

AU - Holmans, Peter

AU - Lewis, Glyn

AU - Lewis, Cathryn M

AU - Stensbøl, Tine Bryan

AU - Kapur, Shitij

AU - McGuffin, Peter

AU - Uher, Rudolf

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

U2 - 10.1371/journal.pmed.1001326

DO - 10.1371/journal.pmed.1001326

M3 - Article (Academic Journal)

C2 - 23091423

SN - 1549-1676

VL - 9

SP - e1001326

JO - PLoS Medicine

JF - PLoS Medicine

IS - 10

ER -

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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GENETIC CLINICAL AND ENDOCRINE PREDICTORS OF TREATMENT OUTCOME IN DEPRESSION

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