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The Pharmacogenomics Journal
Article . 2008 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Polymorphisms in the SLC6A4 and HTR2A genes influence treatment outcome following antidepressant therapy

Authors: Wilkie, M. J. V.; Smith, G.; Day, Richard; Matthews, K.; Smith, D.; Blackwood, D.; Reid, I. C.; +1 Authors

Polymorphisms in the SLC6A4 and HTR2A genes influence treatment outcome following antidepressant therapy

Abstract

The majority of antidepressant drugs act by increasing synaptic serotonin levels in the brain. Genetic variation in serotonin-related genes may therefore influence antidepressant efficacy. In this study, nine polymorphisms in four serotonin receptor genes (HTR1B, HTR2A, HTR5A and HTR6) and the serotonin transporter gene (SLC6A4) were analysed to investigate their influence on antidepressant response in a well-characterized unipolar depressive population (n=166) following a protocolized treatment regimen. 5-HTTLPR short-allele homozygotes were significantly associated with both remission (odds ratios (OR)=4.00, P=0.04) and response (OR=5.06, P=0.02) following second switch treatment, with a similar trend observed following initial treatment and paroxetine therapy. Following initial treatment, unipolar patients homozygous for the SLC6A4 intron 2 repeat polymorphism were significantly associated with lack of remission (OR=0.38, P=0.02) and lack of response (OR=0.42, P=0.01). Additionally, the HTR2A C(1354)T polymorphism showed an association with remission (OR=7.50, P=0.002) and response (OR=5.25, P=0.01) following paroxetine therapy. These results suggest that genetically determined variation in serotonin receptor genes makes a significant contribution to the efficacy of commonly prescribed antidepressant drugs.

Keywords

Serotonin Plasma Membrane Transport Proteins, Serotonin, Polymorphism, Genetic, Depression, 610, Antidepressive Agents, Paroxetine, Treatment Outcome, Genetic, 616, 5-HT2A, Humans, Receptor, Serotonin, 5-HT2A, Polymorphism, Receptor

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    104
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
104
Top 10%
Top 10%
Top 10%
bronze