| Title: | Polygenic risk scores for mood and related disorders and environmental factors: Interaction effects on wellbeing in the UK biobank |
| Journal: | Progress in Neuro-Psychopharmacology and Biological Psychiatry |
| Published: | 15 Feb 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/38367896/ |
| DOI: | https://doi.org/10.1016/j.pnpbp.2024.110972 |
Publication 8722
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Abstract
Mood disorders have a genetic and environmental component and interactions (GxE) on the risk of psychiatric diseases have been investigated. The same GxE interactions may affect wellbeing measures, which go beyond categorical diagnoses and reflect the health-disease continuum. We evaluated GxE effects in the UK Biobank, considering as outcomes subjective wellbeing (feeling good and functioning well) and objective measures (education and income). We estimated the polygenic risk scores (PRSs) of major depressive disorder, bipolar disorder, schizophrenia, and attention deficit hyperactivity disorder. Stressful/traumatic events during adulthood or childhood were considered as E variables, as well as social support. The addition of the PRSxE interaction to PRS and E variables was tested in linear or multinomial regression models, adjusting for confounders. We included 33 k-380 k participants, depending on the variables considered. Most PRSs and E factors showed additive effects on outcomes, with effect sizes generally 3-5 times larger for E variables than PRSs. We found some interaction effects, particularly when considering recent stress, history of a long illness/disability/infirmity, and social support. Higher PRSs increased the negative effects of stress on wellbeing, but they also increased the positive effects of social support, with interaction effects particularly for the outcomes health satisfaction, loneliness, and income (p < Bonferroni corrected threshold of 1.92e-4). PRSxE terms usually added ∼0.01-0.02% variance explained to the corresponding additive model. PRSxE effects on wellbeing involve both positive and negative E factors. Despite small variance explained at the population level, preventive/therapeutic interventions that modify E factors could be beneficial at the individual level.</p>
3 Authors
- Chiara Fabbri
- Cathryn M Lewis
- Alessandro Serretti
1 Application
| Application ID | Title |
|---|---|
| 56514 | Stratification of health outcomes in mood disorders |
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