Risk-taking behaviour is a key component of several psychiatric disorders and could influence lifestyle choices such as smoking, alcohol use, and diet. As a phenotype, risk-taking behaviour therefore fits within a Research Domain Criteria (RDoC) approach, whereby identifying genetic determinants of this trait has the potential to improve our understanding across different psychiatric disorders. Here we report a genome-wide association study in 116,255 UK Biobank participants who responded yes/no to the question Would you consider yourself a risk taker? Risk takers (compared with controls) were more likely to be men, smokers, and have a history of psychiatric disorder. Genetic loci associated with risk-taking behaviour were identified on chromosomes 3 (rs13084531) and 6 (rs9379971). The effects of both lead SNPs were comparable between men and women. The chromosome 3 locus highlights CADM2, previously implicated in cognitive and executive functions, but the chromosome 6 locus is challenging to interpret due to the complexity of the HLA region. Risk-taking behaviour shared significant genetic risk with schizophrenia, bipolar disorder, attention-deficit hyperactivity disorder, and post-traumatic stress disorder, as well as with smoking and total obesity. Despite being based on only a single question, this study furthers our understanding of the biology of risk-taking behaviour, a trait that has a major impact on a range of common physical and mental health disorders.
Genome-wide association studies of mental health.
The primary aim of this research is to identify genetic associations with a) major depression plus mania/bipolar disorder, and b) vulnerability to depression and other negative mood states (as measured by neuroticism score). These aims will be achieved by conducting genome-wide association studies (GWAS), making use of data from the UK Biobank genotyping project. This project is linked to previous analyses our team have undertaken on Biobank data in the areas of mood disorder, cognitive function, cardiometabolic disease and ethnicity and meets Biobank?s stated purpose of improving the prevention, diagnosis and treatment of illnesses by identifying genetic risk factors for common mental disorders, as well as genetic risk factors for trait-like vulnerability to these disorders (neuroticism). Insights from this work will lead to a better understanding of disease processes in depression, better approaches to diagnosis and ultimately the development of new treatments. This work will consist of genome-wide association studies (GWAS), making use of data from the UK Biobank genotyping project. These GWAS studies on depression and neuroticism will make use of phenotypic and genetic data on all Biobank participants (full cohort).
|Lead investigator:||Dr Rona Strawbridge|
|Lead institution:||University of Glasgow|
9 related Returns
|Return ID||App ID||Description||Archive Date|
|3883||6553||Carotid Intima-Media: Thickness Novel Loci, Sex-Specific Effects, and Genetic Correlations With Obesity and Glucometabolic Traits in UK Biobank||29 Sep 2021|
|3885||6553||Exploring the Role of Contactins across Psychological, Psychiatric and Cardiometabolic Traits within UK Biobank||29 Sep 2021|
|3886||6553||Genetic variation in CADM2 as a link between psychological traits and obesity||29 Sep 2021|
|1963||6553||Genome-wide analysis in UK Biobank identifies four loci associated with mood instability and genetic correlation with major depressive disorder, anxiety disorder and schizophrenia||4 Feb 2020|
|2524||6553||Identification of novel genome-wide associations for suicidality in UK Biobank, genetic correlation with psychiatric disorders and polygenic association with completed suicide||23 Oct 2020|
|3378||6553||Novel genome-wide associations for anhedonia, genetic correlation with psychiatric disorders, and polygenic association with brain structure||26 Apr 2021|
|2121||6553||Polygenic risk for schizophrenia and season of birth within the UK Biobank cohort||10 Mar 2020|
|3888||6553||The genomic basis of mood instability: identification of 46 loci in 363,705 UK Biobank participants, genetic correlation with psychiatric disorders, and association with gene expression and function||29 Sep 2021|
|3884||6553||The overlap of genetic susceptibility to schizophrenia and cardiometabolic disease can be used to identify metabolically diferent groups of individuals||29 Sep 2021|
|1982||Genome-wide analysis of self-reported risk-taking behaviour and cross-disorder genetic correlations in the UK Biobank cohort||Strawbridge, R et al||2018||Translational Psychiatry 8, Article number: 39 (2018)|