Hostname: page-component-8448b6f56d-xtgtn Total loading time: 0 Render date: 2024-04-23T14:03:48.677Z Has data issue: false hasContentIssue false

Mechanisms of gene–environment interactions in depression: evidence that genes potentiate multiple sources of adversity

Published online by Cambridge University Press:  06 October 2008

M. Wichers*
Affiliation:
Department of Psychiatry and Neuropsychology, South Limburg Mental Health Research and Teaching Network, EURON, Maastricht University, Maastricht, The Netherlands
D. Schrijvers
Affiliation:
University of Antwerp, Collaborative Antwerp Psychiatric Research Institute (CAPRI), Antwerp, Belgium
N. Geschwind
Affiliation:
Department of Psychiatry and Neuropsychology, South Limburg Mental Health Research and Teaching Network, EURON, Maastricht University, Maastricht, The Netherlands
N. Jacobs
Affiliation:
Department of Psychiatry and Neuropsychology, South Limburg Mental Health Research and Teaching Network, EURON, Maastricht University, Maastricht, The Netherlands Faculty of Psychology, Open University of The Netherlands, Heerlen, The Netherlands
I. Myin-Germeys
Affiliation:
Department of Psychiatry and Neuropsychology, South Limburg Mental Health Research and Teaching Network, EURON, Maastricht University, Maastricht, The Netherlands
E. Thiery
Affiliation:
Association for Scientific Research in Multiple Births, Ghent, Belgium
C. Derom
Affiliation:
Department of Human Genetics, University Hospital Gasthuisberg, Katholieke Universiteit Leuven, Leuven, Belgium
B. Sabbe
Affiliation:
University of Antwerp, Collaborative Antwerp Psychiatric Research Institute (CAPRI), Antwerp, Belgium
F. Peeters
Affiliation:
Department of Psychiatry and Neuropsychology, South Limburg Mental Health Research and Teaching Network, EURON, Maastricht University, Maastricht, The Netherlands
Ph. Delespaul
Affiliation:
Department of Psychiatry and Neuropsychology, South Limburg Mental Health Research and Teaching Network, EURON, Maastricht University, Maastricht, The Netherlands
J. van Os
Affiliation:
Department of Psychiatry and Neuropsychology, South Limburg Mental Health Research and Teaching Network, EURON, Maastricht University, Maastricht, The Netherlands Division of Psychological Medicine, Institute of Psychiatry, London, UK
*
*Address for correspondence: Dr M. Wichers, Department of Psychiatry and Neuropsychology, South Limburg Mental Health Research and Teaching Network, EURON, Maastricht University Medical Centre, Vijverdalseweg 1, Concorde Building, Maastricht, The Netherlands. (Email: m.wichers@sp.unimaas.nl)

Abstract

Background

Previous work suggests that daily life stress-sensitivity may be an intermediary phenotype associated with both genetic risk for depression and developmental stress exposures. In the current analysis we hypothesized that genetic risk for depression and three environmental exposures over the course of development [prenatal stress, childhood adversity and adult negative life events (NLEs)] combine synergistically to produce the phenotype of stress-sensitivity.

Method

Twin pairs (n=279) participated in a momentary assessment study using the Experience Sampling Method (ESM), collecting appraisals of stress and negative affect (NA) in the flow of daily life. Prospective data on birthweight and gestational age, questionnaire data on childhood adversity and recent NLEs, and interview data on depression were used in the analyses. Daily life stress-sensitivity was modelled as the effect of ESM daily life stress appraisals on ESM NA.

Results

All three developmental stress exposures were moderated by genetic vulnerability, modelled as dizygotic (DZ) or monozygotic (MZ) co-twin depression status, in their effect on daily life stress-sensitivity. Effects were much stronger in participants with MZ co-twin depression and a little stronger in participants with DZ co-twin depression status, compared to those without co-twin depression. NLE main effects and NLE genetic moderation were reducible to birthweight and childhood adversity.

Conclusions

The findings are consistent with the hypothesis that adult daily life stress-sensitivity is the result of sensitization processes initiated by developmental stress exposures. Genes associated with depression may act by accelerating the process of stress-induced sensitization.

Type
Original Articles
Copyright
Copyright © 2008 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Arntz, A, Wessel, I (1996). Jeugd Trauma Vragenlijst [Dutch version of the Childhood Trauma Questionnaire]. Maastricht.Google Scholar
Bernstein, DP, Ahluvalia, T, Pogge, D, Handelsman, L (1997). Validity of the Childhood Trauma Questionnaire in an adolescent psychiatric population. Journal of the American Academy of Child and Adolescent Psychiatry 36, 340348.CrossRefGoogle Scholar
Bernstein, DP, Fink, L, Handelsman, L, Foote, J, Lovejoy, M, Wenzel, K, Sapareto, E, Ruggiero, J (1994). Initial reliability and validity of a new retrospective measure of child abuse and neglect. American Journal of Psychiatry 151, 11321136.Google ScholarPubMed
Caspi, A, Sugden, K, Moffitt, TE, Taylor, A, Craig, IW, Harrington, H, McClay, J, Mill, J, Martin, J, Braithwaite, A, Poulton, R (2003). Influence of life stress on depression: moderation by a polymorphism in the 5-HTT gene. Science 301, 386389.CrossRefGoogle ScholarPubMed
Cohen, J (1988). Statistical Power Analysis for the Behavioral Sciences. Lawrence Earlbaum Associates: Hillsdale, NJ.Google Scholar
Csikszentmihalyi, M, Larson, R (1987). Validity and reliability of the Experience-Sampling Method. Journal of Nervous and Mental Disease 175, 526536.CrossRefGoogle ScholarPubMed
Delespaul, P (1995). Assessing Schizophrenia in Daily Life: The Experience Sampling Method. University of Limburg: Maastricht.Google Scholar
Derom, CA, Vlietinck, RF, Thiery, EW, Leroy, FO, Fryns, JP, Derom, RM (2006). The East Flanders Prospective Twin Survey (EFPTS). Twin Research and Human Genetics 9, 733738.CrossRefGoogle ScholarPubMed
DeVries, MW (ed.) (1992). The Experience of Psychopathology: Investigating Mental Disorders in their Natural Settings. Cambridge University Press: Cambridge.Google Scholar
Friis, RH, Wittchen, HU, Pfister, H, Lieb, R (2002). Life events and changes in the course of depression in young adults. European Psychiatry 17, 241253.CrossRefGoogle ScholarPubMed
Gale, CR, Martyn, CN (2004). Birth weight and later risk of depression in a national birth cohort. British Journal of Psychiatry 184, 2833.CrossRefGoogle Scholar
Glaser, JP, van Os, J, Portegijs, PJ, Myin-Germeys, I (2006). Childhood trauma and emotional reactivity to daily life stress in adult frequent attenders of general practitioners. Journal of Psychosomatic Research 61, 229236.CrossRefGoogle ScholarPubMed
Jacobs, N, Kenis, G, Peeters, F, Derom, C, Vlietinck, R, van Os, J (2006). Stress-related negative affectivity and genetically altered serotonin transporter function: evidence of synergism in shaping risk of depression. Archives of General Psychiatry 63, 989996.CrossRefGoogle ScholarPubMed
Kaufman, J, Yang, BZ, Douglas-Palumberi, H, Grasso, D, Lipschitz, D, Houshyar, S, Krystal, JH, Gelernter, J (2006). Brain-derived neurotrophic factor-5-HTTLPR gene interactions and environmental modifiers of depression in children. Biological Psychiatry 59, 673680.CrossRefGoogle ScholarPubMed
Kendler, KS, Kessler, RC, Walters, EE, MacLean, C, Neale, MC, Heath, AC, Eaves, LJ (1995). Stressful life events, genetic liability, and onset of an episode of major depression in women. American Journal of Psychiatry 152, 833842.Google ScholarPubMed
Kendler, KS, Thornton, LM, Gardner, CO (2001). Genetic risk, number of previous depressive episodes, and stressful life events in predicting onset of major depression. American Journal of Psychiatry 158, 582586.CrossRefGoogle ScholarPubMed
Kim-Cohen, J, Caspi, A, Taylor, A, Williams, B, Newcombe, R, Craig, IW, Moffitt, TE (2006). MAOA, maltreatment, and gene–environment interaction predicting children's mental health: new evidence and a meta-analysis. Molecular Psychiatry 11, 903913.CrossRefGoogle ScholarPubMed
Loos, R, Derom, C, Vlietinck, R, Derom, R (1998). The East Flanders Prospective Twin Survey (Belgium): a population-based register. Twin Research 1, 167175.Google ScholarPubMed
Monroe, SM, Harkness, KL (2005). Life stress, the ‘kindling’ hypothesis, and the recurrence of depression: considerations from a life stress perspective. Psychological Review 112, 417445.CrossRefGoogle ScholarPubMed
Myin-Germeys, I, van Os, J, Schwartz, JE, Stone, AA, Delespaul, PA (2001). Emotional reactivity to daily life stress in psychosis. Archives of General Psychiatry 58, 11371144.CrossRefGoogle ScholarPubMed
Paykel, ES (1997). The Interview for Recent Life Events. Psychological Medicine 27, 301310.CrossRefGoogle ScholarPubMed
Phillips, DI, Jones, A (2006). Fetal programming of autonomic and HPA function: do people who were small babies have enhanced stress responses? Journal of Physiology 572, 4550.CrossRefGoogle ScholarPubMed
Pohl, J, Olmstead, MC, Wynne-Edwards, KE, Harkness, K, Menard, JL (2007). Repeated exposure to stress across the childhood-adolescent period alters rats' anxiety- and depression-like behaviors in adulthood: the importance of stressor type and gender. Behavioral Neuroscience 121, 462474.CrossRefGoogle ScholarPubMed
Post, RM (1992). Transduction of psychosocial stress into the neurobiology of recurrent affective disorder. American Journal of Psychiatry 149, 9991010.Google ScholarPubMed
Rice, F, Harold, GT, Thapar, A (2006). The effect of birth-weight with genetic susceptibility on depressive symptoms in childhood and adolescence. European Child and Adolescent Psychiatry 15, 383391.CrossRefGoogle ScholarPubMed
Snijders, T, Bosker, R (1999). Multilevel Analysis: An Introduction to Basis and Advanced Multilevel Modeling. Sage: London.Google Scholar
Thompson, C, Syddall, H, Rodin, I, Osmond, C, Barker, DJ (2001). Birth weight and the risk of depressive disorder in late life. British Journal of Psychiatry 179, 450455.CrossRefGoogle ScholarPubMed
van Dijken, HH, de Goeij, DC, Sutanto, W, Mos, J, de Kloet, ER, Tilders, FJ (1993). Short inescapable stress produces long-lasting changes in the brain– pituitary–adrenal axis of adult male rats. Neuroendocrinology 58, 5764.CrossRefGoogle ScholarPubMed
van Dijken, HH, Van der Heyden, JA, Mos, J, Tilders, FJ (1992). Inescapable footshocks induce progressive and long-lasting behavioural changes in male rats. Physiology and Behavior 51, 787794.CrossRefGoogle ScholarPubMed
van Os, J, Wichers, M, Danckaerts, M, Van Gestel, S, Derom, C, Vlietinck, R (2001). A prospective twin study of birth weight discordance and child problem behavior. Biological Psychiatry 50, 593599.Google ScholarPubMed
Van Praag, H, De Kloet, ER, Van Os, J (2004). Life events and depression: is there a causal connection? In Stress, the Brain and Depression (ed. Van Praag, H., De Kloet, E. R. and Van Os, J.), pp. 3851. Cambridge University Press: Cambridge.CrossRefGoogle Scholar
Viltart, O, Mairesse, J, Darnaudery, M, Louvart, H, Vanbesien-Mailliot, C, Catalani, A, Maccari, S (2006). Prenatal stress alters Fos protein expression in hippocampus and locus coeruleus stress-related brain structures. Psychoneuroendocrinology 31, 769780.CrossRefGoogle ScholarPubMed
Weekes, NY, Lewis, RS, Goto, SG, Garrison-Jakel, J, Patel, F, Lupien, S (2008). The effect of an environmental stressor on gender differences on the awakening cortisol response. Psychoneuroendocrinology 33, 766772.CrossRefGoogle ScholarPubMed
Weil, K, Florenzano, R, Vitriol, V, Cruz, C, Carvajal, C, Fullerton, C, Muniz, C (2004). Child battering and adult psychopathology: an empiric study [in Spanish]. Revista Médica de Chile 132, 14991504.Google ScholarPubMed
Welberg, LA, Seckl, JR (2001). Prenatal stress, glucocorticoids and the programming of the brain. Journal of Neuroendocrinology 13, 113128.CrossRefGoogle ScholarPubMed
Wichers, M, Myin-Germeys, I, Jacobs, N, Peeters, F, Kenis, G, Derom, C, Vlietinck, R, Delespaul, P, Van Os, J (2007). Genetic risk of depression and stress-induced negative affect in daily life. British Journal of Psychiatry 191, 218223.CrossRefGoogle ScholarPubMed
Wust, S, Entringer, S, Federenko, IS, Schlotz, W, Hellhammer, DH (2005). Birth weight is associated with salivary cortisol responses to psychosocial stress in adult life. Psychoneuroendocrinology 30, 591598.CrossRefGoogle ScholarPubMed