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Abstract

Objective:

This study was undertaken to clarify how genetic liability and stressful life events interact in the etiology of major depression.

Method:

Information about stressful life events and onset of major depressive episodes in the past year was collected in a population-based sample of female-female twin pairs including 2,164 individuals, 53,215 person-months of observation, and 492 onsets of depression.

Results:

Nine “personal” and three aggregate “network” stressful events significantly predicted onset of major depression in the month of occurrence, four of which predicted onset with an odds ratio of >10 and were termed “severe”: death of a close relative, assault, serious marital problems, and divorce/breakup. Genetic liability also had a significant impact on risk of onset of depression. Four severe stressful events, as well as for 10 of the 12 individuals stressful events, the best-fitting model for the joint effect of stressful events and genetic liability on onset of major depression suggested genetic control of sensitivity to the depression-inducing effects of stressful life events. In individuals at lowest genetic risk (monozygotic twin, co-twin unaffected), the probability of onset of major depression per month was predicted to be 0.5% and 6.2%, respectively, for those unexposed and exposed to a severe event. In those at highest genetic risk (monozygotic twin, co-twin affected), these probabilities were 1.1% and 14.6%, respectively. Linear regression analysis indicated significant Genotype by Environment interaction in the prediction of onset of major depression.

Conclusions:

Genetic factors influence the risk of onset of major depression in part by altering the sensitivity of individuals to the depression-inducing effect of stressful life events.
(Reprinted with permission from The American Journal of Psychiatry 1995; 152:833–842)

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Published online: 1 July 2010
Published in print: Summer 2010

Authors

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Kenneth S. Kendler, M.D.
Ronald C. Kessler, Ph.D.
Ellen E. Walters, M.S.
Charles MacLean, Ph.D.
Michael C. Neale, Ph.D.
Andrew C. Heath, D.Phil
Lindon J. Eaves, Ph.D., D.Sc.

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