Evidence map›Paper›PMID 32066715›Full record

ArticleTranslational psychiatry2020

A polygenic predictor of treatment-resistant depression using whole exome sequencing and genome-wide genotyping.

Chiara Fabbri, Siegfried Kasper, Alexander Kautzky, Joseph Zohar, Daniel Souery, Stuart Montgomery, Diego Albani, Gianluigi Forloni, Panagiotis Ferentinos, Dan Rujescu and 4 more

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
5.8field-weighted citation impact, top 4% 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Comparative polygenic predispositions of treatment-resistant depression in East Asian and European populations.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
  4. Article
  5. Review
  6. The genetics of severe depression.Molecular psychiatry · 2025
    Review
  7. Review
  8. Article
  9. Pharmaco-Multiomics: A New Frontier in Precision Psychiatry.International journal of molecular sciences · 2025
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Observational
  15. Genetics in psychiatry: Methods, clinical applications and future perspectives.PCN reports : psychiatry and clinical neurosciences · 2022
    Review
  16. Article
  17. Precision medicine in mood disorders.PCN reports : psychiatry and clinical neurosciences · 2022
    Review
  18. Article
  19. Article
  20. Transcriptome-wide association study of treatment-resistant depression and depression subtypes for drug repurposing.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2021
    Article
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

14 authors at 9 institutions in 7 countries.

Chiara FabbriSocial, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Siegfried KasperDepartment of Psychiatry and Psychotherapy, Medical University, Vienna, Austria.
Alexander KautzkyDepartment of Psychiatry and Psychotherapy, Medical University, Vienna, Austria.
Joseph ZoharDepartment of Psychiatry, Sheba Medical Center, Sackler School of Medicine, Tel Aviv University, Tel Hashomer, Israel.
Daniel SoueryLaboratoire de Psychologie Medicale, Universitè Libre de Bruxelles and Psy Pluriel, Centre Européen de Psychologie Medicale, Brussels, Belgium.
Stuart MontgomeryImperial College School of Medicine, London, UK.
Diego AlbaniLaboratory of Biology of Neurodegenerative Disorders, Neuroscience Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
Gianluigi ForloniLaboratory of Biology of Neurodegenerative Disorders, Neuroscience Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
Panagiotis FerentinosDepartment of Psychiatry, Athens University Medical School, Athens, Greece.
Dan RujescuUniversity Clinic for Psychiatry, Psychotherapy and Psychosomatic, Martin-Luther-University, Halle-Wittenberg, Germany.
Julien MendlewiczUniversite' Libre de Bruxelles, Brussels, Belgium.
Rudolf UherDepartment of Psychiatry, Dalhousie University, Halifax, NS, Canada.
Cathryn M LewisSocial, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.ORCID http://orcid.org/0000-0002-8249-8476
Alessandro SerrettiDepartment of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy. alessandro.serretti@unibo.it.ORCID http://orcid.org/0000-0003-4363-3759
King's College London · GBMario Negri Institute for Pharmacological Research · ITMedical University of Vienna · ATUniversité Libre de Bruxelles · BEDalhousie University · CAImperial College London · GBMartin Luther University Halle-Wittenberg · DETel Aviv University · ILUniversity of Bologna · IT

Funding

TREATMENT RESISTANT DEPRESSION-278990003N01MH090003 · NIMH · UNIVERSITY OF TEXAS SW MED CTR/DALLAS · 1999 to 2003
–
European Commission (EC) 793526Medical Research Council G0701420NIMH NIH HHS N01 MH090003
6 · The paper itself

Abstract

Treatment-resistant depression (TRD) occurs in ~30% of patients with major depressive disorder (MDD) but the genetics of TRD was previously poorly investigated. Whole exome sequencing and genome-wide genotyping were available in 1209 MDD patients after quality control. Antidepressant response was compared to non-response to one treatment and non-response to two or more treatments (TRD). Differences in the risk of carrying damaging variants were tested. A score expressing the burden of variants in genes and pathways was calculated weighting each variant for its functional (Eigen) score and frequency. Gene-based and pathway-based scores were used to develop predictive models of TRD and non-response using gradient boosting in 70% of the sample (training) which were tested in the remaining 30% (testing), evaluating also the addition of clinical predictors. Independent replication was tested in STAR*D and GENDEP using exome array-based data. TRD and non-responders did not show higher risk to carry damaging variants compared to responders. Genes/pathways associated with TRD included those modulating cell survival and proliferation, neurodegeneration, and immune response. Genetic models showed significant prediction of TRD vs. response and they were improved by the addition of clinical predictors, but they were not significantly better than clinical predictors alone. Replication results were driven by clinical factors, except for a model developed in subjects treated with serotonergic antidepressants, which showed a clear improvement in prediction at the extremes of the genetic score distribution in STAR*D. These results suggested relevant biological mechanisms implicated in TRD and a new methodological approach to the prediction of TRD.

Indexed as

Depressive Disorder, Treatment-ResistantMajor Depressive DisorderDepressionExome SequencingGenotypeHumans

Identifiers

PMID32066715
PMCPMC7026437
OpenAlexW3003314402

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.