Gene x Environment Interactions at the Serotonin Transporter Locus

被引:385
作者
Munafo, Marcus R. [1 ]
Durrant, Caroline [3 ]
Lewis, Glyn [2 ]
Flint, Jonathan [3 ]
机构
[1] Univ Bristol, Dept Expt Psychol, Bristol BS8 1TU, Avon, England
[2] Univ Bristol, Acad Unit Psychiat, Bristol BS8 1TU, Avon, England
[3] Univ Oxford, Wellcome Trust Ctr Human Genet, Oxford, England
基金
英国医学研究理事会; 英国惠康基金;
关键词
Depression; 5-HTTLPR; Gene x Environment interaction; meta-analysis; stressful life events; STRESSFUL LIFE EVENTS; 5-HTTLPR GENOTYPE; PROMOTER POLYMORPHISM; MAJOR DEPRESSION; ASSOCIATION; CHILDHOOD; ADVERSITY; METAANALYSIS; MODERATION; DISORDERS;
D O I
10.1016/j.biopsych.2008.06.009
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Background: Although it is universally accepted that human disease and behavior depend upon both environmental and genetic variation, a view supported by family and twin studies, examples of environmental interactions with genes identified at the molecular level (G x E) are not so well established. Methods: We carried out a systematic review and meta-analysis of the serotonin transporte (5-HTTLPR) polymorphic region x stressful life event (SLE) literature and investigated to what extent the main effects reported in this literature are consistent with a number of G x E hypotheses. Our aim was to provide a framework in which to assess the robustness of the claim for the presence of an interaction. Results: The results from our systematic review and meta-analysis indicate that the main effect of 5-HTTLPR genotype and the interaction effect between 5 -HTTLPR and SLE on risk of depression are negligible. We found that only a minority of studies report a replication that is qualitatively comparable to that in the original report. Conclusions: Given reasonable assumptions regarding likely genetic and environmental effect sizes, our simulations indicate that published studies are underpowered. This, together with other aspects of the literature, leads us to suggest that the positive results for the 5-HTTLPR x SLE interactions in logistic regression models are compatible with chance findings.
引用
收藏
页码:211 / 219
页数:9
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