A polygenic score for body mass index is associated with depressive symptoms via early life stress: Evidence for gene-environment correlation.

Abstract

Increasing childhood obesity rates are associated with not only adverse physical, but also mental health outcomes, including depression. These negative outcomes may be caused and/or exacerbated by the bullying and shaming overweight individuals experience. As body mass index (BMI) can be highly heritable, we hypothesized that a genetic risk for higher BMI, will predict higher early life stress (ELS), which in turn will predict higher depressive symptoms in adulthood. Such a process will reflect an evocative gene-environment correlation (rGE) wherein an individual s genetically influenced phenotype evokes a reaction from the environment that subsequently shapes the individual s health. We modeled genetic risk using a polygenic score of BMI derived from a recent large GWAS meta-analysis. Self-reports were used for the assessment of ELS and depressive symptoms in adulthood. The discovery sample consisted of 524 non-Hispanic Caucasian university students from the Duke Neurogenetics Study (DNS; 278 women, mean age 19.78\u202f±\u202f1.23 years) and the independent replication sample consisted of 5930 white British individuals from the UK biobank (UKB; 3128 women, mean age 62.66\u202f±\u202f7.38 years). A significant mediation effect was found in the DNS (indirect effect\u202f=\u202f0.207, bootstrapped SE\u202f=\u202f.10, bootstrapped 95% CI: 0.014 to 0.421), and then replicated in the UKB (indirect effect\u202f=\u202f0.04, bootstrapped SE\u202f=\u202f.01, bootstrapped 95% CI: 0.018 to 0.066). Higher BMI polygenic scores predicted higher ELS, which in turn predicted higher depressive symptoms. Our findings suggest that evocative rGE may contribute to weight-related mental health problems and stress the need for interventions that aim to reduce weight bias, specifically during childhood.