ArticleThe pharmacogenomics journal2018
Genome-wide association studies of placebo and duloxetine response in major depressive disorder.
Article in The pharmacogenomics journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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
16 citing papers in PubMed, 22 citations in OpenAlex.
- Exploring sex differences in endocannabinoid system biomarkers and their relationship with antidepressant treatment outcomes in major depressive disorder: a CAN-BIND 1 secondary analysis.European archives of psychiatry and clinical neuroscience · 2026Trial
- Antidepressant use and Parkinson's disease risk: Overall protective effect with drug-specific variation.General psychiatry · 2026Article
- Identification and replication of sex-dimorphic protein quantitative trait loci across multiple ancestries and their associations with diseases.Scientific reports · 2025Article
- Association of psychosocial factors and biological pathways identified from rare-variant analysis with longitudinal trajectories of treatment response in major depressive disorder.BMC psychiatry · 2025Article
- Genetics of constant and severe pain in the NAPS2 cohort of recurrent acute and chronic pancreatitis patients.The journal of pain · 2025Article
- Article
- Precision Medicine in Antidepressants Treatment.Handbook of experimental pharmacology · 2023Review
- Comorbid Chronic Pain and Depression: Shared Risk Factors and Differential Antidepressant Effectiveness.Frontiers in psychiatry · 2021Article
- Delineating significant genome-wide associations of variants with antipsychotic and antidepressant treatment response: implications for clinical pharmacogenomics.Human genomics · 2020Article
- Analysis of the Deleterious Single-Nucleotide Polymorphisms Associated With Antidepressant Efficacy in Major Depressive Disorder.Frontiers in psychiatry · 2020Article
- Drug-Placebo Additivity in Randomized Clinical Trials.Clinical pharmacology and therapeutics · 2019Article
- Pharmacogenetics and Depression: A Critical Perspective.Psychiatry investigation · 2019Article
- Low lncRNA ZNF385D‑AS2 expression and its prognostic significance in liver cancer.Oncology reports · 2019Article
- Systems pharmacogenomics - gene, disease, drug and placebo interactions: a case study in COMT.Pharmacogenomics · 2019Article
- Prediction of response to drug therapy in psychiatric disorders.Open biology · 2018Review
- A comprehensive analysis of mitochondrial genes variants and their association with antipsychotic-induced weight gain.Schizophrenia research · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 5 institutions in 1 country.
Funding
Abstract
We investigated variants associated with treatment response in depressed patients treated with either the antidepressant duloxetine or placebo using a genome-wide approach. Our sample (N=391) included individuals aged 18-75 years, diagnosed with major depressive disorder and treated with either duloxetine or placebo for up to 8 weeks. We conducted genome-wide associations for treatment response as operationalized by percentage change in Montgomery-Åsberg Depression Rating Scale score from baseline, as well as mixed models analyses across five time points. In the placebo-treated subsample (N=205), we observed a genome-wide association with rs76767803 (β=0.69, P=1.25 × 10
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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.