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 - Stensbol, Tine Bryan
AU - Kapur, Shitij
AU - McGuffin, Peter
AU - Uher, Rudolf
PY - 2012/10
Y1 - 2012/10
N2 - Background: 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.Methods and Findings: The NEWMEDS consortium, an academia-industry partnership, assembled a database of over 2,000 European-ancestry individuals with major depressive disorder, prospectively measured treatment outcomes with serotonin reuptake inhibiting or noradrenaline reuptake inhibiting antidepressants and available genetic samples from five studies (three randomized controlled trials, one part-randomized controlled trial, and one treatment cohort study). After quality control, a dataset of 1,790 individuals with high-quality genome-wide genotyping provided adequate power to test the hypotheses that antidepressant response or a clinically significant differential response to the two classes of antidepressants could be predicted from a single common genetic polymorphism. None of the more than half million genetic markers significantly predicted response to antidepressants overall, serotonin reuptake inhibitors, or noradrenaline reuptake inhibitors, or differential response to the two types of antidepressants (genome-wide significance p<5x10(-8)). No biological pathways were significantly overrepresented in the results. No significant associations (genome-wide significance p, 5610 28) were detected in a meta-analysis of NEWMEDS and another large sample (STAR*D), with 2,897 individuals in total. Polygenic scoring found no convergence among multiple associations in NEWMEDS and STAR* D.Conclusions: No single common genetic variant was associated with antidepressant response at a clinically relevant level in a European-ancestry cohort. Effects specific to particular antidepressant drugs could not be investigated in the current study.
AB - Background: 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.Methods and Findings: The NEWMEDS consortium, an academia-industry partnership, assembled a database of over 2,000 European-ancestry individuals with major depressive disorder, prospectively measured treatment outcomes with serotonin reuptake inhibiting or noradrenaline reuptake inhibiting antidepressants and available genetic samples from five studies (three randomized controlled trials, one part-randomized controlled trial, and one treatment cohort study). After quality control, a dataset of 1,790 individuals with high-quality genome-wide genotyping provided adequate power to test the hypotheses that antidepressant response or a clinically significant differential response to the two classes of antidepressants could be predicted from a single common genetic polymorphism. None of the more than half million genetic markers significantly predicted response to antidepressants overall, serotonin reuptake inhibitors, or noradrenaline reuptake inhibitors, or differential response to the two types of antidepressants (genome-wide significance p<5x10(-8)). No biological pathways were significantly overrepresented in the results. No significant associations (genome-wide significance p, 5610 28) were detected in a meta-analysis of NEWMEDS and another large sample (STAR*D), with 2,897 individuals in total. Polygenic scoring found no convergence among multiple associations in NEWMEDS and STAR* D.Conclusions: No single common genetic variant was associated with antidepressant response at a clinically relevant level in a European-ancestry cohort. Effects specific to particular antidepressant drugs could not be investigated in the current study.
U2 - 10.1371/journal.pmed.1001326
DO - 10.1371/journal.pmed.1001326
M3 - Article
SN - 1549-1676
VL - 9
SP - -
JO - PL o S Medicine
JF - PL o S Medicine
IS - 10
M1 - e1001326
ER -