Evidence map›Paper›PMID 25303296›Full record

SynthesisPharmacogenomics2014

GRIK4 polymorphism and its association with antidepressant response in depressed patients: a meta-analysis.

Daniel M Kawaguchi, Stephen J Glatt

Registry-linked trialOpen access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Pharmacogenomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04923204 (Genetic Variations Associated With the Therapeutic Response and Profile of Adverse Effects in the Treatment of Bipolar Depression), which is not on this map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 13% 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.

NCT04923204 completednot on this mapstarted 2016, after this paper: background citation

Genetic Variations Associated With the Therapeutic Response and Profile of Adverse Effects in the Treatment of Bipolar Depression

TypeobservationalSponsorAB Biotics, SARan2016 to 2019Enrolled76ConditionsBipolar DisorderArmsPharmacogenomic-testing with NEUROPHARMAGEN
3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Daniel M KawaguchiPsychiatric Genetic Epidemiology & Neurobiology Laboratory (PsychGENe Lab), Departments of Psychiatry & Behavioral Sciences & Neuroscience & Physiology, Medical Genetics Research Center, SUNY Upstate Medical University, 750 East Adams Street, Syracuse, NY 13210, USA.
Stephen J Glatt
SUNY Upstate Medical University · US

Funding

2/2-Expanding Rapid Ascertainment Networks Of Schizophrenia Families In TaiwanR01MH085521 · NIMH · UPSTATE MEDICAL UNIVERSITY · PI GLATT, STEPHEN J · 2008 to 2012
$1.5M
NIMH NIH HHS R01 MH085521NIMH NIH HHS R01MH085521
6 · The paper itself

Abstract

aimThis study aimed to evaluate the relationship between a human GRIK4 gene polymorphism (rs1954787) and responsiveness to antidepressant treatment in depressed patients.

methodsA meta-analysis was carried out on five studies. Pooled odds ratios (ORs), 95% CIs and a χ(2) test measuring heterogeneity were calculated. A test of publication bias was also conducted.

resultsAlleles and genotypes from a total of 2169 depressed patients were analyzed. The results showed that the C allele appeared more frequently than the T allele in responders to treatment (OR: 1.22; 95% CI: 1.035-1.445; z = 2.36; p = 0.018). Similarly, CC homozygotes were more likely than TT homozygotes to respond to treatment (OR: 1.45; 95% CI: 1.107-1.913; z = 2.69; p = 0.007). No evidence of publication bias was detected.

conclusionSubjects possessing the C allele or CC genotype of the GRIK4 polymorphism rs1954787 are more likely to respond to antidepressant treatment relative to subjects harboring the T allele and TT genotype. Additional replication of this result is required before this association can be considered definitive, after which it may become possible to employ this marker in conjunction with other known predictors in order to anticipate the outcomes of treatment with antidepressant medications.

Indexed as

AllelesAntidepressive AgentsDepressionFemaleGenetic Predisposition to DiseaseGenotypeHumansKainic Acid ReceptorsMalePolymorphism, GeneticAntidepressive AgentsGRIK4 protein, humanKainic Acid ReceptorsantidepressantglutamateGRIK4 polymorphismmajor depressive disordermeta-analysispredictortreatment response

Identifiers

PMID25303296
PMCPMC4208722
OpenAlexW2160947832

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Registered trials

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.