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Abstract

Background: In the general population, variation in the serotonin-transporter-linked polymorphic region ( 5-HTTLPR) has been shown to modify the association between stressful events and depression/anxiety. This has not been examined in people with multiple sclerosis (MS).Objective: We examined the interaction between significant life events (SLE), 5-HTTLPR and depression/anxiety.Methods: A population-based longitudinal cohort of 198 people with MS was followed biannually for 2.5 years. Depression and anxiety symptoms were measured at each review using the Hospital Anxiety and Depression Scale (HADS). SLEs were assessed using a questionnaire based on the Social Readjustment Rating Scale.Results: We found an interaction between SLE load in the previous 12 months and functional variation in the 5-HTTLPR allele type in predicting depression, with the association between SLE load and depression being stronger for those with S/S allele type (β = 0.21 (95% confidence interval (CI): 0.09-0.33) per 10-unit increase) and S/L (β = 0.14 (95% CI: 0.05-0.24)) compared to L/L allele type (β = 0.04 (95% CI: -0.05 to 0.24); Pinteraction Conclusion: We found that the association between SLE load and MS depression severity was stronger among those with one or two copies of the short allele of the 5-HTTLPR. The identification of a gene-environment interaction between SLEs and depression in a population where depression is partly disease-driven is novel.

Item Type:	Article
Authors/Creators:	Saul, A and Taylor, B and Simpson Jr, S and Ponsonby, AL and Blizzard, L and Dwyer, T and McMorran, B and Wood, B and van der Mei, IAF
Keywords:	multiple sclerosis, anxiety, depression, serotonin-transporter-linked polymorphic region, significant life events, stress
Journal or Publication Title:	Multiple Sclerosis Journal
Publisher:	Arnold
ISSN:	1352-4585
DOI / ID Number:	10.1177/1352458518770021
Copyright Information:	Copyright 2018 the Authors
Related URLs:	UTAS Profile: Taylor, B UTAS Profile: Simpson Jr, S UTAS Profile: Blizzard, L Google Scholar: van der Mei, IAF UTAS Profile: van der Mei, IAF
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