Evidence map›Paper›PMID 29688548›Full record

ReviewThe international journal of neuropsychopharmacology2019

The Genetics of Treatment-Resistant Depression: A Critical Review and Future Perspectives.

Chiara Fabbri, Filippo Corponi, Daniel Souery, Siegfried Kasper, Stuart Montgomery, Joseph Zohar, Dan Rujescu, Julien Mendlewicz, Alessandro Serretti

Open access · goldAbstract readReview
In one paragraph

Review in The international journal of neuropsychopharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 4 pooled it
2.7field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 4 syntheses or guidelines pooled it, 61 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Article
  7. 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 · 2026
    Article
  8. Rethinking the Treatment-Resistant Depression.Advances in experimental medicine and biology · 2026
    Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Symptom networks in major depressive disorder and treatment response: special focus on TRD.European psychiatry : the journal of the Association of European Psychiatrists · 2025
    Article
  16. Review
  17. Pharmaco-Multiomics: A New Frontier in Precision Psychiatry.International journal of molecular sciences · 2025
    Review
  18. Review
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 6 countries.

Chiara FabbriDepartment of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy.
Filippo CorponiDepartment of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy.
Daniel SoueryUniversité Libre de Bruxelles and Psy Pluriel Centre Europèen de Psychologie Medicale, Brussels, Belgium.
Siegfried KasperDepartment of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.
Stuart MontgomeryUniversity of London, Imperial College, London, United Kingdom.
Joseph ZoharPsychiatric Division, Chaim Sheba Medical Center, Ramat Gan, Israel.
Dan RujescuPsychiatric Division, Chaim Sheba Medical Center, Ramat Gan, Israel.
Julien MendlewiczPsychiatric Division, Chaim Sheba Medical Center, Ramat Gan, Israel.
Alessandro SerrettiDepartment of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy.
University of Bologna · ITSheba Medical Center · ILImperial College London · GBMartin Luther University Halle-Wittenberg · DEMedical University of Vienna · ATUniversité Libre de Bruxelles · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: One-third of depressed patients develop treatment-resistant depression with the related sequelae in terms of poor functionality and worse prognosis. Solid evidence suggests that genetic variants are potentially valid predictors of antidepressant efficacy and could be used to provide personalized treatments. Methods: The present review summarizes genetic findings of treatment-resistant depression including results from candidate gene studies and genome-wide association studies. The limitations of these approaches are discussed, and suggestions to improve the design of future studies are provided. Results: Most studies used the candidate gene approach, and few genes showed replicated associations with treatment-resistant depression and/or evidence obtained through complementary approaches (e.g., gene expression studies). These genes included GRIK4, BDNF, SLC6A4, and KCNK2, but confirmatory evidence in large cohorts was often lacking. Genome-wide association studies did not identify any genome-wide significant association at variant level, but pathways including genes modulating actin cytoskeleton, neural plasticity, and neurogenesis may be associated with treatment-resistant depression, in line with results obtained by genome-wide association studies of antidepressant response. The improvement of aggregated tests (e.g., polygenic risk scores), possibly using variant/gene prioritization criteria, the increase in the covering of genetic variants, and the incorporation of clinical-demographic predictors of treatment-resistant depression are proposed as possible strategies to improve future pharmacogenomic studies. Conclusions: Genetic biomarkers to identify patients with higher risk of treatment-resistant depression or to guide treatment in these patients are not available yet. Methodological improvements of future studies could lead to the identification of genetic biomarkers with clinical validity.

Indexed as

Genome-Wide Association StudySequence AnalysisDepressive Disorder, Treatment-ResistantHumans

Identifiers

PMID29688548
PMCPMC6368368
OpenAlexW2800035876

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.