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October 23, 2025Open Access

Combining polygenic risk scores to understand genetic liability to physical-mental health multimorbidity in UK BioBank

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Authors

DSDaniel StowRTRuby S. M. TsangIKIoanna Katzourou

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Overview

Logistic regression shows combined polygenic risk scores improve understanding of genetic predisposition in multimorbidity, indicating genetic variation plays a critical role.

Key Points

  • Combining polygenic risk scores enhances variance prediction for physical-mental health multimorbidity.
  • The odds ratio for internalising traits and type 2 diabetes is 1.18 per standard deviation increase in polygenic risk score.
  • Logistic regression evaluated the polygenic risk scores in over 200,000 UK Biobank participants for accuracy.
  • This genetic risk measure might enable earlier intervention for physical-mental health multimorbidity.

Cite This Study

Stow et al. (2025) studied this question.

synapsesocial.com/papers/68f9d6583f378872224924a1https://doi.org/10.1101/2025.10.20.25338357
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Also Consider

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

  1. 1The complementary roles of rare variant burden scores and common variant polygenic risk scores in genetic risk prediction of complex disorders2025
  2. 2Identifying and characterizing disease subpopulations that most benefit from polygenic risk scores2024 · 9 citations
  3. 3Genetic and sociodemographic factors associated with trajectories of physical and mental health multimorbidity in a South Asian cohort in the UK: A multistate modelling analysis2026
  4. 4A MULTI-TRAIT APPROACH IMPROVES POLYGENIC RISK SCORES FOR CHRONIC BACK PAIN ACROSS POPULATION-BASED AND CLINICALLY ASCERTAINED SAMPLES2025
  5. 5Association between genetic liability to physical health conditions and comorbidities in individuals with severe mental illness: an analysis of two cross-sectional observational studies in the UK2025 · 6 citations