Abstract

Depression has well-established influences from genetic and environmental risk factors. This has led to the diathesis-stress theory, which assumes a multiplicative gene-by-environment interaction (GxE) effect on risk. Recently, Colodro-Conde et al. empirically tested this theory, using the polygenic risk score for major depressive disorder (PRS, genes) and stressful life events (SLE, environment) effects on depressive symptoms, identifying significant GxE effects with an additive contribution to liability. We have tested the diathesis-stress theory on an independent sample of 4919 individuals. We identified nominally significant positive GxE effects in the full cohort (R2 = 0.08%, p = 0.049) and in women (R2 = 0.19%, p = 0.017), but not in men (R2 = 0.15%, p = 0.07). GxE effects were nominally significant, but only in women, when SLE were split into those in which the respondent plays an active or passive role (R2 = 0.15%, p = 0.038; R2 = 0.16%, p = 0.033, respectively). High PRS increased the risk of depression in participants reporting high numbers of SLE (p = 2.86 × 10−4). However, in those participants who reported no recent SLE, a higher PRS appeared to increase the risk of depressive symptoms in men (β = 0.082, p = 0.016) but had a protective effect in women (β = −0.061, p = 0.037). This difference was nominally significant (p= 0.017). Our study reinforces the evidence of additional risk in the aetiology of depression due to GxE effects. However, larger sample sizes are required to robustly validate these findings.

Details

Title
A validation of the diathesis-stress model for depression in Generation Scotland
Author
Arnau-Soler Aleix 1   VIAFID ORCID Logo  ; Adams, Mark J 2   VIAFID ORCID Logo  ; Toni-Kim, Clarke 2 ; MacIntyre, Donald J 2   VIAFID ORCID Logo  ; Milburn, Keith 3 ; Navrady Lauren 2   VIAFID ORCID Logo  ; Hayward, Caroline 4   VIAFID ORCID Logo  ; McIntosh, Andrew 5   VIAFID ORCID Logo  ; Thomson, Pippa A 6   VIAFID ORCID Logo 

 University of Edinburgh, Medical Genetics Section, Centre for Genomic and Experimental Medicine and MRC Institute of Genetics and Molecular Medicine, Edinburgh, UK (GRID:grid.4305.2) (ISNI:0000 0004 1936 7988) 
 University of Edinburgh, Division of Psychiatry, Deanery of Clinical Sciences, Royal Edinburgh Hospital, Edinburgh, UK (GRID:grid.4305.2) (ISNI:0000 0004 1936 7988) 
 University of Dundee, Health Informatics Centre, Dundee, UK (GRID:grid.8241.f) (ISNI:0000 0004 0397 2876) 
 University of Edinburgh, Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, Edinburgh, UK (GRID:grid.4305.2) (ISNI:0000 0004 1936 7988) 
 University of Edinburgh, Division of Psychiatry, Deanery of Clinical Sciences, Royal Edinburgh Hospital, Edinburgh, UK (GRID:grid.4305.2) (ISNI:0000 0004 1936 7988) ; University of Edinburgh, Centre for Cognitive Ageing and Cognitive Epidemiology, Edinburgh, UK (GRID:grid.4305.2) (ISNI:0000 0004 1936 7988) 
 University of Edinburgh, Medical Genetics Section, Centre for Genomic and Experimental Medicine and MRC Institute of Genetics and Molecular Medicine, Edinburgh, UK (GRID:grid.4305.2) (ISNI:0000 0004 1936 7988) ; University of Edinburgh, Centre for Cognitive Ageing and Cognitive Epidemiology, Edinburgh, UK (GRID:grid.4305.2) (ISNI:0000 0004 1936 7988) 
Publication year
2019
Publication date
Jan 2019
Publisher
Nature Publishing Group
e-ISSN
21583188
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2168507464
Copyright
This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.