Psychological MedicineGeneticsPeer-reviewed journal article
Prospective Study of Polygenic Risk, Protective Factors, and Incident Depression Following Combat Deployment in US Army Soldiers
Karmel W. ChoiiD, Chia‐Yen CheniD, Robert J. UrsanoiD, Xiaoying Sun, Sonia JainiD, Ronald C. KessleriD, Karestan Chase KoeneniD, Min‐Jung WangiD, Gary H. WynniD, Laura Campbell‐SillsiD, Murray B. SteiniD, Jordan W. SmolleriD
Abstract
BackgroundWhereas genetic susceptibility increases risk for major depressive disorder (MDD), non-genetic protective factors may mitigate this risk. In a large-scale prospective study of US Army soldiers, we examined whether trait resilience and/or unit cohesion could buffer against the onset of MDD following combat deployment, even in soldiers at high polygenic risk.\n\nMethodsData were analyzed from 4,182 soldiers of European ancestry assessed before and after their deployment to Afghanistan. Incident MDD was defined as no MDD episode at predeployment, followed by a MDD episode following deployment. Polygenic risk scores were constructed from the largest available MDD genome-wide association study. We first examined main effects of the MDD PRS and each protective factor on incident MDD. We then tested effects of each protective factor on incident MDD across strata of polygenic risk.\n\nResultsPolygenic risk showed a dose-response relationship to depression, such that soldiers at high polygenic risk had greatest odds for incident MDD. Both unit cohesion and trait resilience were prospectively associated with reduced risk for incident MDD. Notably, the protective effect of unit cohesion persisted even in soldiers at highest polygenic risk.\n\nConclusionsPolygenic risk was associated with new-onset MDD in deployed soldiers. However, unit cohesion--an index of perceived support and morale--was protective against incident MDD even among those at highest genetic risk, and may represent a potent target for promoting resilience in vulnerable soldiers. Findings illustrate the value of combining genomic and environmental data in a prospective design to identify robust protective factors for mental health.
- organism: human
- assay: electronic health records
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
- 33
- FWCI
- 2.55
- Field percentile
- top 10%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Genomic Prediction of Depression Risk and Resilience Under Stress
Yu Fang, Laura J. Scott, … Srijan Sen·Nature Human BehaviourPeer-reviewed·Oct 28, 2019
- Dissection of Major Depressive Disorder using polygenic risk scores for Schizophrenia in two independent cohort.
Heather C Whalley, Mark J Adams, … Andrew M McIntosh·Translational PsychiatryPeer-reviewed·Nov 1, 2016
- Polygenic risk scores for major depressive disorder and neuroticism as predictors of antidepressant response: meta-analysis of three treatment cohorts.
Joey Ward, Nicholas Graham, … Daniel J. Smıth·PLoS ONEPeer-reviewed·Sep 21, 2018
- Genetic heterogeneity in depressive symptoms following the death of a spouse: Polygenic score analysis of the US Health and Retirement Study
Ben W Domingue, Hexuan Liu, … Daniel W. Belsky·American Journal of PsychiatryPeer-reviewed·Oct 1, 2017
- A two-stage approach to identifying and validating modifiable factors for the prevention of depression
Karmel W. Choi, Murray B. Stein, … Jordan W. Smoller·bioRxiv·Sep 8, 2019
- Genetic risk for major depressive disorder and loneliness in gender-specific associations with coronary artery disease
Jessica Kiri Dennis, Julia Sealock, … Lea Karatheodoris Davis·Molecular PsychiatryPeer-reviewed·Dec 3, 2019