Literature DB >> 29031184

Gene-environment interactions between stress and 5-HTTLPR in depression: A meta-analytic update.

Dries Bleys1, Patrick Luyten2, Bart Soenens3, Stephan Claes4.   

Abstract

BACKGROUND: Meta-analyses have yielded contradictory findings concerning the role of 5-HTTLPR in interaction with stress (GxE) in depression. The current meta-analysis investigates if these contradictory findings are a result of differences between studies in methodological approaches towards the assessment of stress and depression.
METHODS: After performing a systematic database search (February to December 2016), first, a meta-analysis was used to investigate the total effect size and publication bias. Second, stratified meta-analyses were used to investigate the potential moderating influence of different methodological approaches on heterogeneity of study findings. Third, a meta-regression was used to investigate the combined influence of the methodological approaches on the overall effect size.
RESULTS: Results showed a small but significant effect of 5-HTTLPR in interaction with stress in the prediction of depression (OR[95%CI] = 1.18[1.09; 1.28], n = 48 effect sizes from 51 studies, totaling 51,449 participants). There was no evidence of publication bias. Heterogeneity of effect sizes was a result of outliers and not due to different methodological approaches towards the assessment of stress and depression. Yet, there was some evidence that studies adopting a categorical and interview approach to the assessment of stress report higher GxE effects, but further replication of this finding is needed. LIMITATIONS: A large amount of heterogeneity (i.e., 46%) was not explained by the methodological factors included in the study and there was a low response rate of invited studies.
CONCLUSIONS: The current meta-analysis provides new evidence for the robustness of the interaction between stress and 5-HTTLPR in depression.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  5-HTTLPR; Depression; Gene-environment interactions; Meta-analysis; Methodology; Stress

Mesh:

Substances:

Year:  2017        PMID: 29031184     DOI: 10.1016/j.jad.2017.09.050

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


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