Abstract
Objective: Experience of stressful life events is associated with risk of depression. Yet many exposed individuals do not become depressed. A controversial hypothesis is that genetic factors influence vulnerability to depression following stress. This hypothesis is often tested with a "diathesisstress" model, in which genes confer excess vulnerability. The authors tested an alternative formulation of thismodel: genes may buffer against depressogenic effects of life stress. Method: The hypothesized genetic buffer was measured using a polygenic score derived from a published genomewide association study of subjective well-being. The authors tested whether married older adults who had higher polygenic scores were less vulnerable to depressive symptoms following the death of their spouse compared with agematched peers who had also lost their spouse and who had lower polygenic scores. Data were analyzed from 8,588 non-Hispanic white adults in the Health and Retirement Study (HRS), a population-representative longitudinal study of older adults in the United States. Results: HRS adults with higher well-being polygenic scores experienced fewer depressive symptoms during follow-up. Those who survived the death of their spouses (N=1,647) experienced a sharp increase in depressive symptoms following the death and returned toward baseline over the following 2 years. Having a higher well-being polygenic score buffered against increased depressive symptoms following a spouse's death. Conclusions: The effects were small, and the clinical relevance is uncertain, although polygenic score analyses may provide clues to behavioral pathways that can serve as therapeutic targets. Future studies of gene-environment interplay in depression may benefit from focus on genetics discovered for putative protective factors.
| Original language | English |
|---|---|
| Pages (from-to) | 963-970 |
| Number of pages | 8 |
| Journal | American Journal of Psychiatry |
| Volume | 174 |
| Issue number | 10 |
| Early online date | 24 Mar 2017 |
| DOIs | |
| Publication status | Published - 1 Oct 2017 |
Funding
This study used data from the Health and Retirement Study, which is sponsored by the National Institute on Aging (grants NIA U01AG009740, RC2AG036495, and RC4AG039029) and conducted by the University of Michigan. Further support was provided by the NIH/NICHD-funded University of Colorado Population Center (R24HD066613). This research was facilitated by the Social Science Genetic Association Consortium. Dr. Okbay is supported by a European Research Council consolidator grant (647648 EdGe). Dr. Belsky is supported by an early-career research fellowship from the Jacobs Foundation, as well as National Institute on Aging grants R01AG032282, P30AG034424, and P30AG028716. All other authors report no financial relationships with commercial interests. Received Nov. 2, 2016; revision received Jan. 2, 2017; accepted Feb. 9, 2017; published online March 24, 2017.
| Funders | Funder number |
|---|---|
| NIH/NICHD-funded University of Colorado Population Center | R24HD066613 |
| National Institute on Aging | P30AG028716, R01AG032282, RC4AG039029, U01AG009740, RC2AG036495, P30AG034424 |
| University of Michigan | |
| European Research Council | 647648 EdGe |
| Jacobs Foundation |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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