Evidence map›Paper›PMID 20877300›Full record

Trial reportThe pharmacogenomics journal2012

Genome-wide association study of increasing suicidal ideation during antidepressant treatment in the GENDEP project.

N Perroud, R Uher, M Y M Ng, M Guipponi, J Hauser, N Henigsberg, W Maier, O Mors, M Gennarelli, M Rietschel and 10 more

Abstract readMulticenter StudyRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in The pharmacogenomics journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 2 pooled it
3.7field-weighted citation impact, top 7% 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

47 citing papers in PubMed, 2 syntheses or guidelines pooled it, 110 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. KChIP4a is a Biophysical Amplifier of Inhibition in Atypical Dopamine Neurons and Controls Learning from Negative Prediction Errors.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  6. Article
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  10. Precision Medicine in Antidepressants Treatment.Handbook of experimental pharmacology · 2023
    Review
  11. Article
  12. Article
  13. Clinical, demographic, and genetic risk factors of treatment-attributed suicidality in >10,000 Australian adults taking antidepressants.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2022
    Article
  14. Article
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  17. Article
  18. Review
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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

20 authors at 10 institutions in 9 countries.

N PerroudMRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, London, UK. nader.perroud@hcuge.ch
R Uher
M Y M Ng
M Guipponi
J Hauser
N Henigsberg
W Maier
O Mors
M Gennarelli
M Rietschel
D Souery
M Z Dernovsek
A S Stamp
M Lathrop
A Farmer
G Breen
K J Aitchison
C M Lewis
I W Craig
P McGuffin
King's College London · GBAarhus University Hospital · DKCentral Institute of Mental Health · DECentre National de Recherche en Génomique Humaine · FRCentro San Giovanni di Dio Fatebenefratelli · ITPoznan University of Medical Sciences · PLUniversité Libre de Bruxelles · BEUniversity of Bonn · DEUniversity of Geneva · CHUniversity of Zagreb · HR

Funding

Department of HealthMedical Research Council G0701003Medical Research Council G0701420Medical Research Council G90/106
6 · The paper itself

Abstract

Suicidal thoughts during antidepressant treatment have been the focus of several candidate gene association studies. The aim of the present genome-wide association study was to identify additional genetic variants involved in increasing suicidal ideation during escitalopram and nortriptyline treatment. A total of 706 adult participants of European ancestry, treated for major depression with escitalopram or nortriptyline over 12 weeks in the Genome-Based Therapeutic Drugs for Depression (GENDEP) study were genotyped with Illumina Human 610-Quad Beadchips (Illumina, San Diego, CA, USA). A total of 244 subjects experienced an increase in suicidal ideation during follow-up. The genetic marker most significantly associated with increasing suicidality (8.28 × 10(-7)) was a single-nucleotide polymorphism (SNP; rs11143230) located 30 kb downstream of a gene encoding guanine deaminase (GDA) on chromosome 9q21.13. Two suggestive drug-specific associations within KCNIP4 (Kv channel-interacting protein 4; chromosome 4p15.31) and near ELP3 (elongation protein 3 homolog; chromosome 8p21.1) were found in subjects treated with escitalopram. Suggestive drug by gene interactions for two SNPs near structural variants on chromosome 4q12, one SNP in the apolipoprotein O (APOO) gene on chromosome Xp22.11 and one on chromosome 11q24.3 were found. The most significant association within a set of 33 candidate genes was in the neurotrophic tyrosine kinase receptor type 2 (NTRK2) gene. Finally, we also found trend for an association within genes previously associated with psychiatric phenotypes indirectly linked to suicidal behavior, that is, GRIP1, NXPH1 and ANK3. The results suggest novel pathways involved in increasing suicidal ideation during antidepressant treatment and should help to target treatment to reduce the risk of this dramatic adverse event. Limited power precludes definitive conclusions and replication in larger sample is warranted.

Indexed as

Genome-Wide Association StudySuicidal IdeationAdultAgedAntidepressive AgentsCitalopramFemaleHumansMajor Depressive DisorderMaleMiddle AgedNortriptylinePolymorphism, Single NucleotideTime FactorsTreatment OutcomeYoung AdultAntidepressive AgentsCitalopramNortriptyline

Identifiers

PMID20877300
OpenAlexW2074220948

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.