henhaobio
Sign in

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

PDFDOIPreprint

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.

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.

Similarity Map
SelectedSame fieldCross-field
THISFang '19Whalley '16Ward '18Domingue '17Choi '19Dennis '19
74% semantic matchGenomics
Yu Fang, Laura J. Scott, Peter X.‐K. Song+2 more·Nature Human Behaviour·Oct 28, 2019· 43 citations