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September 25, 2025Open Access

Combined family history and polygenic score prediction of major depressive disorder

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Authors

RWRujia WangHDHelena L. DaviesSLSang Hyuck Lee

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Overview

Analysis reveals combined family history and polygenic scores predict major depressive disorder in diverse populations, suggesting clinical applications.

Key Points

  • Family history and polygenic scores combined can explain 33% variance in major depressive disorder diagnosis across two cohorts.
  • In the GLAD+ cohort, family history explained 17% variance, and in UK Biobank it was 13%, with both showing strong predictive performance.
  • Using elastic net regression, the study identified key predictors including family history, childhood trauma, and sociodemographic factors.
  • This integrated model may enhance early diagnosis and personalized treatment strategies for individuals at high risk of major depressive disorder.

Cite This Study

Wang et al. (2025) studied this question.

synapsesocial.com/papers/68d5d0d7ddad3c16d4635eb6https://doi.org/10.1101/2025.09.22.25336356
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Polygenic scores for psychiatric traits mediate the impact of multigenerational history for depression on offspring psychopathology2025
  2. 2Genetic Overlap Between DSM-IV Major Depressive Disorder and Suicidal Behaviors: Evidence from Polygenic Risk Scores in Young Adult Twins2025
  3. 3Associations of polygenic risk scores for major depression and depression severity: an investigation of 105 623 individuals with 16 years follow-up2025
  4. 4Combining polygenic risk scores to understand genetic liability to physical-mental health multimorbidity in UK BioBank2025 · 1 citations
  5. 5Genetic factors predicting risk of mood disorders in adolescents2025