This cohort study used data from the Norwegian Mother, Father and Child Cohort (MoBa). The population included children with maternal reports of depressive symptoms at ages 8 and 14. The study examined polygenic scores for major depressive disorder (MDD), ADHD, anxiety disorders, and educational attainment (EA) as exposures.
Children's own MDD polygenic scores showed adolescence-specific effects (b_PGS*wave=0.041, 95% CI: 0.017, 0.065). Developmentally-stable direct effects were found for children's polygenic scores: MDD (b=0.016, 95% CI: 0.006, 0.039), ADHD (b=0.024, 95% CI: 0.008, 0.041), and EA (b=-0.02, 95% CI: -0.038, -0.002). A stable effect was also observed for maternal EA polygenic scores (indirect genetic effect, b=0.04, 95% CI: 0.024, 0.054).
Safety and tolerability were not reported. Key limitations include that sample size was not reported, assessments were based on maternal reports only, and there was no direct measurement of genetic effects from fathers or other family members.
The results imply that specific etiological mechanisms related to MDD may become particularly relevant for depressive symptoms during early adolescence. However, this is a cohort study; results show associations, not causation. Genetic effects are estimated, not proven causal.
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Background: Early adolescence is a common period of onset for depressive symptoms. In part, this may reflect a developmental manifestation of individual's genetic propensities as they undergo physiological and hormonal changes and interact with new environments. Many commonly proposed mechanisms assume direct effects of an individual's own genes on emerging variation in their depressive symptomatology. However, estimates of genetic influence based on analyses in unrelated individuals capture not only direct genetic effects but also genetic effects from parents and other biologically related family members. Aim: In data from the Norwegian Mother, Father and Child Cohort (MoBa), we used linear mixed models to distinguish developmentally-stable and adolescence-specific direct and parental indirect genetic effects. We examined effects of polygenic scores for major depressive disorder (MDD), ADHD, anxiety disorders, and educational attainment (EA) on depressive symptoms, which were assessed by maternal reports at ages 8 and 14. Results: Children's own MDD polygenic scores showed adolescence-specific effects on depressive symptoms ( b_PGS*wave=0.041, [95% CI: 0.017, 0.065]). Developmentally-stable direct effects from children's polygenic scores for MDD (b=0.016, [0.006, 0.039]), ADHD (b=0.024, [0.008, 0.041]) and EA (b=-0.02, [ -0.038, -0.002]) were also evident. The only evidence of indirect genetic effects was a stable effect of maternal EA polygenic scores (b=0.04, [0.024, 0.054]). Conclusion: Direct genetic effects linked to genetic liability to MDD accounted for emerging variation in depressive symptoms in adolescence. These results imply that specific etiological mechanisms related to MDD may become particularly relevant for depressive symptoms during early adolescence compared to at earlier ages.