Evidence map›Paper›PMID 34754108›Full record

ReviewMolecular psychiatry2022

Gene-drug pairings for antidepressants and antipsychotics: level of evidence and clinical application.

Lara E Murphy, Trehani M Fonseka, Chad A Bousman, Daniel J Müller

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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

14 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. PeerJ · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Genes · 2023
    Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. 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.

Lara E Murphy *Pharmacogenetics Research Clinic, Centre for Addiction and Mental Health, Toronto, ON, Canada.
Trehani M Fonseka *Pharmacogenetics Research Clinic, Centre for Addiction and Mental Health, Toronto, ON, Canada.
Chad A BousmanDepartments of Medical Genetics, Psychiatry, Physiology & Pharmacology, and Community Health Sciences, University of Calgary, Calgary, AB, Canada.ORCID http://orcid.org/0000-0001-6303-8696
Daniel J MüllerPharmacogenetics Research Clinic, Centre for Addiction and Mental Health, Toronto, ON, Canada. daniel.mueller@camh.ca.ORCID http://orcid.org/0000-0003-4978-4400

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Substantial inter-individual discrepancies exist in both therapeutic effectiveness and adverse effects of antidepressant and antipsychotic medications, which can, in part, be explained by genetic variation. Here, we searched the Pharmacogenomics Knowledge Base for gene-antidepressant and gene-antipsychotic pairs with the highest level of evidence. We then extracted and compared the associated prescribing recommendations for these pairs developed by the Clinical Pharmacogenomics Implementation Consortium, the Dutch Pharmacogenetics Working Group or approved product labels in the US, Canada, Europe, and Asia. Finally, we highlight key economical, educational, regulatory, and ethical issues that, if not appropriately considered, can hinder the implementation of these recommendations in clinical practice. Our review indicates that evidence-based guidelines are available to assist with the implementation of pharmacogenetic-guided antidepressant and antipsychotic prescribing, although the maximum impact of these guidelines on patient care will not be realized until key barriers are minimized or eliminated.

Indexed as

Antipsychotic AgentsDrug-Related Side Effects and Adverse ReactionsAntidepressive AgentsEuropeHumansPharmacogeneticsAntidepressive AgentsAntipsychotic Agents

Identifiers

What OpenQuestion holds

Textmetadata
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.