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Observational study

Psychiatry · Pediatrics · 2 h ago

Environmental and genetic scores predict adolescent depression in ABCD cohort

In a longitudinal analysis of 9,797 children in the US Adolescent Brain Cognitive Development study, researchers developed an environmental risk score and compared it with a depression polygenic risk score. Combining the scores modestly improved classification of major depressive disorder at two-year follow-up, but external validation is needed.

Researchers used data from 9,797 participants in the Adolescent Brain Cognitive Development study (47% female), aged 9–11 at baseline. They selected environmental predictors from published reviews and used Elastic Net regression with 10-fold cross-validation to develop a depression risk score (depRS) for parent-reported symptoms two years later. The team also assessed the depRS and depression polygenic risk scores (PRS) for classifying parent- and youth-reported major depressive disorder (MDD) at follow-up.

The final depRS included 12 predictors and explained 12.3% of variance in depression symptoms. Parental depression, witnessing domestic violence, sleep duration and dieting were among the strongest predictors. For MDD classification, the depRS had an area under the curve (AUC) of 0.69 for parent report and 0.67 for youth report. Combining depRS and PRS yielded AUCs of 0.71 and 0.70, respectively; PRS alone had an AUC of 0.64 for parent-reported MDD.

The findings suggest environmental and genetic measures may contribute complementary information, but the reported discrimination is modest and the authors call for external validation in geographically and gender-diverse cohorts. The study does not establish that changing the identified environmental factors prevents depression, or that these scores are ready for clinical risk assessment.

In practice

This study does not support using depRS or PRS to guide adolescent screening, referral or treatment: it reports prediction in one cohort, with modest discrimination, and the authors state that validation in geographically and gender-diverse samples is needed. The combined score improved classification compared with either measure alone, but the study does not show that score-guided care improves outcomes or that modifying sleep, dieting or other predictors prevents depression. Clinical practice implications therefore remain uncertain.

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Source

Molecular Psychiatry: Longitudinal prediction of adolescent depression from environmental and polygenic risk scores ↗

This is an automated AI-condensed summary that has not yet been reviewed by an editor. Always consult the full item at the original source.