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Pharmacogenomic study of side-effects for antidepressant treatment options in STAR*D.

ABSTRACT: Understanding individual differences in susceptibility to antidepressant therapy side-effects is essential to optimize the treatment of depression.We performed genome-wide association studies (GWAS) to search for genetic variation affecting the susceptibility to side-effects. The analysis sample consisted of 1439 depression patients, successfully genotyped for 421K single nucleotide polymorphisms (SNPs), from the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study. Outcomes included four indicators of side-effects: general side-effect burden, sexual side-effects, dizziness and vision/hearing-related side-effects. Our criterion for genome-wide significance was a prespecified threshold ensuring that, on average, only 10% of the significant findings are false discoveries.Thirty-four SNPs satisfied this criterion. The top finding indicated that 10 SNPs in SACM1L mediated the effects of bupropion on sexual side-effects (p = 4.98 × 10(-7), q = 0.023). Suggestive findings were also found for SNPs in MAGI2, DTWD1, WDFY4 and CHL1.Although our findings require replication and functional validation, this study demonstrates the potential of GWAS to discover genes and pathways that could mediate adverse effects of antidepressant medication.

SUBMITTER: Clark SL

PROVIDER: S-EPMC3627503 | biostudies-literature | 2012 Jun

REPOSITORIES: biostudies-literature

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Pharmacogenomic study of side-effects for antidepressant treatment options in STAR*D.

Clark S L SL Adkins D E DE Aberg K K Hettema J M JM McClay J L JL Souza R P RP van den Oord E J C G EJ

Psychological medicine 20111101 6

<h4>Background</h4>Understanding individual differences in susceptibility to antidepressant therapy side-effects is essential to optimize the treatment of depression.<h4>Method</h4>We performed genome-wide association studies (GWAS) to search for genetic variation affecting the susceptibility to side-effects. The analysis sample consisted of 1439 depression patients, successfully genotyped for 421K single nucleotide polymorphisms (SNPs), from the Sequenced Treatment Alternatives to Relieve Depre ...[more]

PMID: 22041458

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Project description:RationaleCytochrome P450 enzymes are important in the metabolism of antidepressants. The highly polymorphic nature of these enzymes has been linked to variability in antidepressant metabolism rates, leading to hope regarding the use of P450 genotyping to guide treatment. However, evidence that P450 genotypic differences underlie the variation in treatment outcomes is inconclusive.ObjectivesWe explored the links between both P450 genotype and serum concentrations of antidepressant with antidepressant side effects, using data from the Genome-Based Therapeutic Drugs for Depression Project (GENDEP), which is a large (n = 868), pharmacogenetic study of depressed individuals treated with escitalopram or nortriptyline.MethodsPatients were genotyped for the enzymes CYP2C19 and CYP2D6, and serum concentrations of both antidepressant and primary metabolite were measured after 8 weeks of treatment. Side effects were assessed weekly. We investigated associations between P450 genotypes, serum concentrations of antidepressants and side effects, as well as the relationship between P450 genotype and study discontinuation.ResultsP450 genotype did not predict total side effect burden (nortriptyline: n = 251, p = 0.5638, β = -0.133, standard error (SE) = 0.229; escitalopram: n = 340, p = 0.9627, β = -0.004, SE = 0.085), study discontinuation (nortriptyline n = 284, hazard ratio (HR) = 1.300, p = 0.174; escitalopram n = 376, HR = 0.870, p = 0.118) or specific side effects. Serum concentrations of antidepressant were only related to a minority of the specific side effects measured: dry mouth, dizziness and diarrhoea.ConclusionsIn this sample where antidepressant dosage is titrated using clinical judgement, P450 genotypes do not explain differences between patients in side effects with antidepressants. Serum drug concentrations appear to only explain variability in the occurrence of a minority of specific side effects.

Project description:BackgroundApproximately 50% of patients with major depressive disorder do not respond adequately to their antidepressant treatment, underscoring the need for more effective treatment options. The objective of this study was to investigate the effect of adjunctive brexpiprazole on depressive symptoms in patients with major depressive disorder who were not responding to adjunctive or combination therapy of their current antidepressant treatments with several different classes of agents (NCT02012218).MethodsIn this 6-week, open-label, phase 3b study, patients with major depressive disorder who had an inadequate response to ≥1 adjunctive or combination therapy, in addition to history of ≥1 failure to monotherapy antidepressant treatment, were switched to adjunctive brexpiprazole. Efficacy was assessed by change from baseline to week 6 in Montgomery-Åsberg Depression Rating Scale total score. Patient functioning was assessed using the Sheehan Disability Scale and the Cognitive and Physical Functioning Questionnaire. Safety and tolerability were also assessed.ResultsA total of 51/61 (83.6%) patients completed 6 weeks of treatment with adjunctive brexpiprazole. Improvements in depressive symptoms were observed (least squares mean change from baseline to week 6 in Montgomery-Åsberg Depression Rating Scale total score, -17.3 [P < .0001]) as well as improvements in general and cognitive functioning (mean changes from baseline to week 6: Sheehan Disability Scale, -3.1 [P < .0001]; Massachusetts General Hospital-Cognitive and Physical Functioning Questionnaire, -9.2 [P < .0001]). The most common adverse event was fatigue (14.8%); akathisia was reported by 8.2% of patients.ConclusionsIn patients with major depressive disorder who had switched to open-label adjunctive brexpiprazole following inadequate response to previous adjunctive or combination therapy, improvements were observed in depressive symptoms, general functioning, cognitive function, and energy/alertness.

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Pharmacogenomic study of side-effects for antidepressant treatment options in STAR*D.

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Pharmacogenomic study of side-effects for antidepressant treatment options in STAR*D.

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