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Genetic predictors of response to antidepressants in the GENDEP project

Authors :
Jonathon Gray
Wolfgang Maier
Erik Roj Larsen
Robert Peter Smith
Caterina Giovannini
Peter McGuffin
Katherine J. Aitchison
Marcella Rietschel
Astrid Zobel
Mara Isabel Barreto
Mojca Z. Dernovsek
Petra Kalember
Joanna Hauser
Nader Perroud
Piotr M. Czerski
Daniel Souery
Dejan Kozel
P Huezo-Diaz
Cathryn M. Lewis
Neven Henigsberg
Rudolf Uher
Thomas G. Schulze
Ian W. Craig
Anna Placentino
Anne Farmer
Ole Mors
Uher, R
Huezo Diaz, P
Perroud, N
Smith, R
Rietschel, M
Mors, O
Hauser, J
Maier, W
Kozel, D
Henigsberg, N
Barreto, M
Placentino, A
Dernovsek, M
Schulze, T
Kalember, P
Zobel, A
Czerski, P
Larsen, E
Souery, D
Giovannini, C
Gray, J
Lewis, C
Farmer, A
Aitchison, K
Mcguffin, P
Craig, I
Source :
Uher, R, Huezo-Diaz, P, Perroud, N, Smith, R, Rietschel, M, Mors, O, Hauser, J, Maier, W, Kozel, D, Henigsberg, N, Barreto, M, Placentino, A, Dernovsek, M Z, Schulze, T G, Kalember, P, Zobel, A, Czerski, P M, Larsen, E R, Souery, D, Giovannini, C, Gray, J M, Lewis, C M, Farmer, A, Aitchison, K J, McGuffin, P & Craig, I 2009, ' Genetic predictors of response to antidepressants in the GENDEP project ', Pharmacogenomics Journal, vol. 9, no. 4, pp. 225-33 . https://doi.org/10.1038/tpj.2009.12
Publication Year :
2009
Publisher :
Ashley Publications, 2009.

Abstract

Udgivelsesdato: 2009-Aug The objective of the Genome-based Therapeutic Drugs for Depression study is to investigate the function of variations in genes encoding key proteins in serotonin, norepinephrine, neurotrophic and glucocorticoid signaling in determining the response to serotonin-reuptake-inhibiting and norepinephrine-reuptake-inhibiting antidepressants. A total of 116 single nucleotide polymorphisms in 10 candidate genes were genotyped in 760 adult patients with moderate-to-severe depression, treated with escitalopram (a serotonin reuptake inhibitor) or nortriptyline (a norepinephrine reuptake inhibitor) for 12 weeks in an open-label part-randomized multicenter study. The effect of genetic variants on change in depressive symptoms was evaluated using mixed linear models. Several variants in a serotonin receptor gene (HTR2A) predicted response to escitalopram with one marker (rs9316233) explaining 1.1% of variance (P=0.0016). Variants in the norepinephrine transporter gene (SLC6A2) predicted response to nortriptyline, and variants in the glucocorticoid receptor gene (NR3C1) predicted response to both antidepressants. Two HTR2A markers remained significant after hypothesis-wide correction for multiple testing. A false discovery rate of 0.106 for the three strongest associations indicated that the multiple findings are unlikely to be false positives. The pattern of associations indicated a degree of specificity with variants in genes encoding proteins in serotonin signaling influencing response to the serotonin-reuptake-inhibiting escitalopram, genes encoding proteins in norepinephrine signaling influencing response to the norepinephrine-reuptake-inhibiting nortriptyline and a common pathway gene influencing response to both antidepressants. The single marker associations explained only a small proportion of variance in response to antidepressants, indicating a need for a multivariate approach to prediction.

Details

Language :
English
Database :
OpenAIRE
Journal :
Uher, R, Huezo-Diaz, P, Perroud, N, Smith, R, Rietschel, M, Mors, O, Hauser, J, Maier, W, Kozel, D, Henigsberg, N, Barreto, M, Placentino, A, Dernovsek, M Z, Schulze, T G, Kalember, P, Zobel, A, Czerski, P M, Larsen, E R, Souery, D, Giovannini, C, Gray, J M, Lewis, C M, Farmer, A, Aitchison, K J, McGuffin, P & Craig, I 2009, ' Genetic predictors of response to antidepressants in the GENDEP project ', Pharmacogenomics Journal, vol. 9, no. 4, pp. 225-33 . https://doi.org/10.1038/tpj.2009.12
Accession number :
edsair.doi.dedup.....baf40cec7a76df0953618a4a180d3c25
Full Text :
https://doi.org/10.1038/tpj.2009.12