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This is a Quantitative Study study.

September 24, 2025Open Access

Combined family history and polygenic score prediction of major depressive disorder

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Analysis predicts major depressive disorder risk using family history and polygenic scores, suggesting clinical applications.

Family history accounted for 17% of the MDD variance in the genetic study, demonstrating its significant impact.
Predictive models achieved an AUC-ROC of 0.84 in the GLAD+ cohort, indicating strong predictive performance.
Elastic net regression was employed to identify key predictors across multiple cohorts for MDD assessment.
Combining predictors improved identification of high-risk individuals for MDD, supporting early diagnosis and treatment.

Wang et al. (2025) studied this question.

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