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Interplay between polygenic risk for mood disorders and stressful life events in bipolar disorder.
Hosang, Georgina M; Shakoor, Sania; King, Nicole; Sanches, Marcos; Vincent, John B; Kennedy, James L; McGuffin, Peter; Keers, Robert; Zai, Clement C.
Afiliação
  • Hosang GM; Centre for Psychiatry & Mental Health, Wolfson Institute of Population Health, Barts and the London Faulty of Medicine and Dentistry, Queen Mary, University of London, UK. Electronic address: g.hosang@qmul.ac.uk.
  • Shakoor S; Centre for Psychiatry & Mental Health, Wolfson Institute of Population Health, Barts and the London Faulty of Medicine and Dentistry, Queen Mary, University of London, UK.
  • King N; Tanenbaum Centre for Pharmacogenetics, Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Canada.
  • Sanches M; Tanenbaum Centre for Pharmacogenetics, Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Canada.
  • Vincent JB; Molecular Neuropsychiatry and Development (MiND) Laboratory, Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, Canada.
  • Kennedy JL; Tanenbaum Centre for Pharmacogenetics, Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Canada; Department of Psychiatry, University of Toronto, Toronto, Canada; Institute of Medical Science, University of Toronto,
  • McGuffin P; Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK.
  • Keers R; Department of Biological and Experimental Psychology, Queen Mary, University of London, UK.
  • Zai CC; Tanenbaum Centre for Pharmacogenetics, Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Canada; Department of Psychiatry, University of Toronto, Toronto, Canada; Institute of Medical Science, University of Toronto,
J Affect Disord ; 350: 565-572, 2024 Apr 01.
Article em En | MEDLINE | ID: mdl-38246285
ABSTRACT

BACKGROUND:

Although genetic and environmental factors are involved in the aetiology of bipolar disorder [BD], studies focused on their interplay are lacking. The current investigation examines interactions and correlations between polygenic risk scores [PRS] for BD and major depressive disorder [MDD] with stressful life events [SLEs] in liability for BD.

METHODS:

This study used data from 1715 participants (862 bipolar cases and 853 controls) taken from UK and Canadian samples. The List of Threatening Experiences Questionnaire recorded SLEs that occurred 6 months before interview for controls and 6 months prior to the first (Canadian sample) and worst (UK sample) depressive and manic episodes for bipolar cases. PRS-BD and PRS-MDD were calculated from the Psychiatric Genomics Consortium.

RESULTS:

For the worst depressive episode, the PRS-MDD was significantly correlated with total number of SLEs (ß = 0.13, 95 % CI0.04-0.22, p = 0.003) and dependent SLEs (ß = 0.09, 95 % CI0.02-0.16, p = 0.007). After correction for multiple testing nominally significant correlations were detected for PRS-BD with total number of SLEs (ß = 0.11, 95 % CI0.02-0.20, p = 0.015) and dependent SLEs (ß = 0.08, 95 % CI0.01-0.15, p = 0.019). Among bipolar cases, these associations were slightly stronger but were only of nominal significance for total number of SLEs (PRS-MDD ß = 0.19, 95 % CI0.04-0.35, p = 0.015; PRS-BD ß = 0.16, 95 % CI0.01-0.32, p = 0.042) and dependent SLEs (PRS-MDD ß = 0.14, 95 % CI0.03-0.26, p = 0.015; PRS-BD ß = 0.12, 95 % CI0.004-0.24, p = 0.043). No other significant gene-environment correlations or interactions were found.

LIMITATIONS:

Use of a larger sample size would be beneficial.

CONCLUSIONS:

The relationship between SLEs and genetic risk for mood disorders may be best explained through correlations rather than interactions.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtorno Bipolar / Transtorno Depressivo Maior Tipo de estudo: Etiology_studies / Risk_factors_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: J Affect Disord Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtorno Bipolar / Transtorno Depressivo Maior Tipo de estudo: Etiology_studies / Risk_factors_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: J Affect Disord Ano de publicação: 2024 Tipo de documento: Article