Evidence map›Paper›PMID 33106475›Full record

SynthesisTranslational psychiatry2020

Genome-wide association studies of antidepressant class response and treatment-resistant depression.

Qingqin S Li, Chao Tian, David Hinds, 23andMe Research Team

Abstract readMeta-Analysis
In one paragraph

Synthesis in Translational psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

41 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Article
  7. Polygenic risk scores in pharmacogenomics: methodological challenges, current applications, and perspectives for clinical implementation.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2026
    Article
  8. Article
  9. Article
  10. Rethinking the Treatment-Resistant Depression.Advances in experimental medicine and biology · 2026
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Review
  18. Article
  19. Genetic determinants of antidepressant and antipsychotic drug response.European archives of psychiatry and clinical neuroscience · 2025
    Article
  20. The genetics of severe depression.Molecular psychiatry · 2025
    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

4 authors.

Qingqin S LiJanssen Research & Development, LLC, Titusville, NJ, USA. QLi2@its.jnj.com.ORCID 0000-0003-4182-4535
Chao Tian23andMe, Inc., Sunnyvale, CA, USA.
David Hinds23andMe, Inc., Sunnyvale, CA, USA.ORCID 0000-0002-4911-803X
23andMe Research Team

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The "antidepressant efficacy" survey (AES) was deployed to > 50,000 23andMe, Inc. research participants to investigate the genetic basis of treatment-resistant depression (TRD) and non-treatment-resistant depression (NTRD). Genome-wide association studies (GWAS) were performed, including TRD vs. NTRD, selective serotonin reuptake inhibitor (SSRI) responders vs. non-responders, serotonin-norepinephrine reuptake inhibitor (SNRI) responders vs. non-responders, and norepinephrine-dopamine reuptake inhibitor responders vs. non-responders. Only the SSRI association reached the genome-wide significance threshold (p < 5 × 10

Indexed as

Depressive Disorder, Treatment-ResistantGenome-Wide Association StudyAntidepressive AgentsDepressionHumansSelective Serotonin Reuptake InhibitorsAntidepressive AgentsSelective Serotonin Reuptake Inhibitors

Identifiers

PMID33106475
PMCPMC7589471

What OpenQuestion holds

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LicenceCC BY
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.