Evidence map›Paper›PMID 24433458›Full record

SynthesisBMC medicine2014

Interaction between stress and the BDNF Val66Met polymorphism in depression: a systematic review and meta-analysis.

Georgina M Hosang, Celia Shiles, Katherine E Tansey, Peter McGuffin, Rudolf Uher

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 131 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
131citing papers in PubMed, 9 pooled it
12.6field-weighted citation impact, top 1% 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

131 citing papers in PubMed, 9 syntheses or guidelines pooled it, 285 citations in OpenAlex.

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71 more citing papers are in PubMed but not listed here.

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

5 authors at 1 institution in 2 countries.

Georgina M HosangPsychology Department, Goldsmiths, University of London, New Cross, London SE14 6NW, UK. g.hosang@gold.ac.uk.
Celia Shiles
Katherine E Tansey
Peter McGuffin
Rudolf Uher
King's College London · GB

Funding

Medical Research Council
6 · The paper itself

Abstract

backgroundMajor depression is a disabling psychiatric illness with complex origins. Life stress (childhood adversity and recent stressful events) is a robust risk factor for depression. The relationship between life stress and Val66Met polymorphism in the brain-derived neurotrophic factor (BDNF) gene has received much attention. The aim of the present work was to review and conduct a meta-analysis on the results from published studies examining this interaction.

methodsA literature search was conducted using PsychINFO and PubMed databases until 22 November 2013. A total of 22 studies with a pooled total of 14,233 participants met the inclusion criteria, the results of which were combined and a meta-analysis performed using the Liptak-Stouffer z-score method.

resultsThe results suggest that the Met allele of BDNF Val66Met significantly moderates the relationship between life stress and depression (P = 0.03). When the studies were stratified by type of environmental stressor, the evidence was stronger for an interaction with stressful life events (P = 0.01) and weaker for interaction of BDNF Val66Met with childhood adversity (P = 0.051).

conclusionsThe interaction between BDNF and life stress in depression is stronger for stressful life events rather than childhood adversity. Methodological limitations of existing studies include poor measurement of life stress.

Indexed as

Brain-Derived Neurotrophic FactorDepressionHumansMethioninePolymorphism, GeneticStress, PsychologicalValineBDNF protein, humanBrain-Derived Neurotrophic FactorMethionineValine

Identifiers

PMID24433458
PMCPMC3912923
OpenAlexW2115742198

What OpenQuestion holds

Textmetadata
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.