Genetic architecture of DCC and influence on psychological, psychiatric and cardiometabolic traits in multiple ancestry groups in UK Biobank

Forsyth, L., Aman, A., Cullen, B. , Graham, N., Lyall, D. M. , Lyall, L. M., Pell, J. P. , Ward, J. , Smith, D. J. and Strawbridge, R. J. (2023) Genetic architecture of DCC and influence on psychological, psychiatric and cardiometabolic traits in multiple ancestry groups in UK Biobank. Journal of Affective Disorders, 339, pp. 943-953. (doi: 10.1016/j.jad.2023.07.052) (PMID:37487843)

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Abstract

Background: People with severe mental illness have a higher risk of cardiometabolic disease than the general population. Traditionally attributed to sociodemographic, behavioural factors and medication effects, recent genetic studies have provided evidence of shared biological mechanisms underlying mental illness and cardiometabolic disease. We aimed to determine whether signals in the DCC locus, implicated in psychiatric and cardiometabolic traits, were shared or distinct. Methods: In UK Biobank, we systematically assessed genetic variation in the DCC locus for association with metabolic, cardiovascular and psychiatric-related traits in unrelated “white British” participants (N = 402,837). Logistic or linear regression were applied assuming an additive genetic model and adjusting for age, sex, genotyping chip and population structure. Bonferroni correction for the number of independent variants was applied. Conditional analyses (including lead variants as covariates) and trans-ancestry analyses were used to investigate linkage disequilibrium between signals. Results: Significant associations were observed between DCC variants and smoking, anhedonia, body mass index (BMI), neuroticism and mood instability. Conditional analyses and linkage disequilibrium structure suggested signals for smoking and BMI were distinct from each other and the mood traits, whilst individual mood traits were inter-related in a complex manner. Limitations: Restricting analyses in non-“white British” individuals to the phenotypes significant in the “white British” sample is not ideal, but the smaller samples sizes restricted the phenotypes possible to analyse. Conclusions: Genetic variation in the DCC locus had distinct effects on BMI, smoking and mood traits, and therefore is unlikely to contribute to shared mechanisms underpinning mental and cardiometabolic traits.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Ward, Dr Joey and Cullen, Dr Breda and Smith, Professor Daniel and Aman, Ms Alisha and Pell, Professor Jill and Lyall, Dr Laura and Strawbridge, Dr Rona and Lyall, Dr Donald and Graham, Dr Nicholas
Authors: Forsyth, L., Aman, A., Cullen, B., Graham, N., Lyall, D. M., Lyall, L. M., Pell, J. P., Ward, J., Smith, D. J., and Strawbridge, R. J.
College/School:College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > Mental Health and Wellbeing
College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > Public Health
Journal Name:Journal of Affective Disorders
Publisher:Elsevier
ISSN:0165-0327
ISSN (Online):1573-2517
Published Online:22 July 2023
Copyright Holders:Copyright © 2023 The Authors
First Published:First published in Journal of Affective Disorders 339: 943-953
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
302131Understanding the excess risk of cardiometabolic disease in individuals with serious mental illnessJill PellMedical Research Council (MRC)MR/S003061/1SHW - Public Health
173096Investigating comorbidity between hypertension and bipolar disorder to identify new and repurposed medications for bipolar disorderDaniel SmithLister Institute of Preventive Medicine (LISTININ)Research Prize 2016SHW - Mental Health & Wellbeing
302957Mental Health Data PathfinderDaniel SmithMedical Research Council (MRC)MC_PC_17217SHW - Mental Health & Wellbeing