Abstract

Antidepressants are among the most commonly prescribed drugs, and a range of medications are available. However, treatment response to a particular drug varies greatly between patients, with only 30% of patients responding well to the first treatment administered. Given evidence that antidepressant treatment response is a heritable trait, together with technological advances in genetic research, three recently published genome-wide investigations into antidepressant responses have examined the determinants of variability in treatment outcomes between depressed patients. Here, we review these studies within the context of wider research efforts to identify treatment response predictors. Some interesting genes have been implicated, but no variants have yet been robustly and reliably linked to response. This may suggest that genetic effect sizes are smaller than originally anticipated. Candidate gene approaches in these samples have lent support to the involvement of serotonergic, glutamatergic and stress-response systems in treatment response, although corroborative evidence from genome-wide analyses indicates these results should be interpreted cautiously. Closer examination of antidepressant response, considering it as a complex trait, has indicated that multiple genes of small effect are likely to be involved. Furthermore, there is some evidence that genetic influence on response to treatment may vary between patients with different symptom profiles or environmental exposures. This has implications for the translation of pharmacogenetic findings into clinical practice: genotypic information from multiple loci and data on non-genetic factors are likely to be needed to tailor antidepressant treatment to the individual patient.

Highlights

  • Antidepressants are among the most commonly prescribed drugs, and a range of medications are available

  • We describe findings for two genes involved in serotonergic pathways (SLC6A4 and HTR2A), one gene linked to the hypothalamic-pituitary-adrenal axis (FKBP5) and one glutamatergic receptor gene (GRIK4)

  • While the specific single nucleotide polymorphism (SNP) in HTR2A and GRIK4 implicated in the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) sample did not replicate in Munich Antidepressant Response Signatures (MARS), when looking across all the variants analyzed in each gene, significant associations with treatment response were found

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Summary

Depressive symptoms

DSM-IV classification of depressive episode (1) Depressed mood for at least 2 weeks. (2) Loss of interest and enjoyment (3) Increased fatigability (4) Loss of confidence/self-esteema (5) Self-reproach/guilt (6) Suicidal thoughts or intent (7) Reduced concentration/indecisiveness (8) Agitation (9) Sleep disturbance (10) Altered appetite. DSM-IV classification of depressive episode (1) Depressed mood for at least 2 weeks. (2) Loss of interest and enjoyment (3) Increased fatigability (4) Loss of confidence/self-esteema (5) Self-reproach/guilt (6) Suicidal thoughts or intent (7) Reduced concentration/indecisiveness (8) Agitation (9) Sleep disturbance (10) Altered appetite. Mild: four or more symptoms, including two of (1), (2) or (3) Moderate: six or more symptoms, including two of (1), (2) or (3) Severe: eight or more symptoms, including (1), (2) and (3)

Additional specifiers
Block norepinephrine and serotonin
Response measure
Response phenotype definition
Citalopram Various
Antidepressant response
Findings
Conclusions and future directions
Full Text
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