SynthesisThe American journal of psychiatry2013
Common genetic variation and antidepressant efficacy in major depressive disorder: a meta-analysis of three genome-wide pharmacogenetic studies.
Synthesis in The American journal of psychiatry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers, 8 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
102 citing papers in PubMed, 8 syntheses or guidelines pooled it, 248 citations in OpenAlex.
- Pharmacogenomic scores in psychiatry: systematic review of current evidence.Translational psychiatry · 2024Pooled it
- Review and Consensus on Pharmacogenomic Testing in Psychiatry.Pharmacopsychiatry · 2021Pooled it
- Genome-wide association studies of antidepressant class response and treatment-resistant depression.Translational psychiatry · 2020Pooled it
- Genome-wide association study of antidepressant treatment resistance in a population-based cohort using health service prescription data and meta-analysis with GENDEP.The pharmacogenomics journal · 2020Pooled it
- New insights into the pharmacogenomics of antidepressant response from the GENDEP and STAR*D studies: rare variant analysis and high-density imputation.The pharmacogenomics journal · 2018Pooled it
- Pooled it
- No support for replication of the genetic variants identified by a recent mega-analysis of the treatment response to antidepressants.Journal of human genetics · 2015Pooled it
- GRIK4 polymorphism and its association with antidepressant response in depressed patients: a meta-analysis.Pharmacogenomics · 2014Pooled it
- Genomic Investigation of Remission and Relapse of Psychotic Depression Treated with Sertraline plus Olanzapine: The STOP-PD II Study.Neuropsychobiology · 2023Trial
- Rare Functional Variants Associated with Antidepressant Remission in Mexican-Americans: Short title: Antidepressant remission and pharmacogenetics in Mexican-Americans.Journal of affective disorders · 2021Trial
- Antidepressant drug-specific prediction of depression treatment outcomes from genetic and clinical variables.Scientific reports · 2018Trial
- Clinical outcomes and genome-wide association for a brain methylation site in an antidepressant pharmacogenetics study in Mexican Americans.The American journal of psychiatry · 2014Trial
- DNA methylation in interleukin-11 predicts clinical response to antidepressants in GENDEP.Translational psychiatry · 2013Trial
- Factors Facilitating Adoption of Pharmacogenetic Testing by Prescribers of Antidepressants in Four US Health Systems: A Multi-Site Cross-Sectional PGx Implementation Science Study.Journal of personalized medicine · 2026Article
- Article
- Trans-ancestry genome-wide association meta-analysis of antidepressant response to selective serotonin reuptake inhibitors in clinical studies of depression.medRxiv : the preprint server for health sciences · 2026Article
- Computation and resource efficient genome-wide association analysis for large-scale imaging studies.Nature communications · 2026Article
- Integrating multi-polygenic scores for enhanced prediction of antidepressant treatment outcomes in an East Asian population.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Article
- Computation and resource efficient genome-wide association analysis for large-scale imaging studies.medRxiv : the preprint server for health sciences · 2025Article
- Genome-wide association and DNA methylation analyses of SSRI treatment response in major depressive disorder.BMC psychiatry · 2025Article
42 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 13 institutions in 9 countries.
Funding
Abstract
objectiveIndirect evidence suggests that common genetic variation contributes to individual differences in antidepressant efficacy among individuals with major depressive disorder, but previous studies may have been underpowered to detect these effects.
methodA meta-analysis was performed on data from three genome-wide pharmacogenetic studies (the Genome-Based Therapeutic Drugs for Depression [GENDEP] project, the Munich Antidepressant Response Signature [MARS] project, and the Sequenced Treatment Alternatives to Relieve Depression [STAR*D] study), which included 2,256 individuals of Northern European descent with major depressive disorder, and antidepressant treatment outcomes were prospectively collected. After imputation, 1.2 million single-nucleotide polymorphisms were tested, capturing common variation for association with symptomatic improvement and remission after up to 12 weeks of antidepressant treatment.
resultsNo individual association met a genome-wide threshold for statistical significance in the primary analyses. A polygenic score derived from a meta-analysis of GENDEP and MARS participants accounted for up to approximately 1.2% of the variance in outcomes in STAR*D, suggesting a weakly concordant signal distributed over many polymorphisms. An analysis restricted to 1,354 individuals treated with citalopram (STAR*D) or escitalopram (GENDEP) identified an intergenic region on chromosome 5 associated with early improvement after 2 weeks of treatment.
conclusionsDespite increased statistical power accorded by meta-analysis, the authors identified no reliable predictors of antidepressant treatment outcome, although they did identify modest, direct evidence that common genetic variation contributes to individual differences in antidepressant response.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.