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Scholl J, Panchal P, Nelissen N, Atkinson LZ, Kolling N, Saunders KE, Geddes J, Rushworth MF, Nobre AC, Harrison PJ, Harmer CJ. Neural signatures of risk-taking adaptions across health, bipolar disorder, and lithium treatment. Mol Psychiatry 2025:10.1038/s41380-025-02900-w. [PMID: 39880901 DOI: 10.1038/s41380-025-02900-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 11/27/2024] [Accepted: 01/16/2025] [Indexed: 01/31/2025]
Abstract
Cognitive and neural mechanisms underlying bipolar disorder (BD) and its treatment are still poorly understood. Here we examined the role of adaptations in risk-taking using a reward-guided decision-making task. We recruited volunteers with high (n = 40) scores on the Mood Disorder Questionnaire, MDQ, suspected of high risk for bipolar disorder and those with low-risk scores (n = 37). We also recruited patients diagnosed with BD who were assigned (randomized, double-blind) to six weeks of lithium (n = 19) or placebo (n = 16) after a two-week baseline period (n = 22 for FMRI). Participants completed mood ratings daily over 50 (MDQ study) or 42 (BD study) days, as well as a risky decision-making task and functional magnetic resonance imaging. The task measured adaptation of risk taking to past outcomes (increased risk aversion after a previous win vs. loss, 'outcome history'). While the low MDQ group was risk averse after a win, this was less evident in the high MDQ group and least so in the patients with BD. During fMRI, 'outcome history' was linked to medial frontal pole activation at the time of the decision and this activation was reduced in the high risk MDQ vs. the low risk MDQ group. While lithium did not reverse the pattern of BD in the task, nor changed clinical symptoms of mania or depression, it changed reward processing in the dorsolateral prefrontal cortex. Participants' modulation of risk-taking in response to reward outcomes was reduced as a function of risk for BD and diagnosed BD. These results provide a model for how reward may prime escalation of risk-related behaviours in bipolar disorder and how mood stabilising treatments may work.
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Affiliation(s)
- Jacqueline Scholl
- Université Claude Bernard Lyon 1, CNRS, Inserm, Lyon Neuroscience Research Centre U1028 UMR 5292, PsyR2 team, Centre Hospitalier Le Vinatier, Bron, France.
- Oxford Centre for Human Brain Activity (OHBA), Wellcome Centre for Integrative Neuroimaging (WIN), Department of Psychiatry, University of Oxford, Oxford, UK.
| | | | | | - Lauren Z Atkinson
- Oxford Centre for Human Brain Activity (OHBA), Wellcome Centre for Integrative Neuroimaging (WIN), Department of Psychiatry, University of Oxford, Oxford, UK
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Nils Kolling
- Université Claude Bernard Lyon 1, Inserm, Stem Cell and Brain Research Institute U1208, Bron, France
| | - Kate Ea Saunders
- Department of Psychiatry, University of Oxford, Oxford, UK
- Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, UK
| | - John Geddes
- Department of Psychiatry, University of Oxford, Oxford, UK
- Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, UK
| | - Matthew Fs Rushworth
- Department of Experimental Psychology, Wellcome Centre for Integrative Neuroimaging (WIN), University of Oxford, Oxford, UK
| | - Anna C Nobre
- Oxford Centre for Human Brain Activity (OHBA), Wellcome Centre for Integrative Neuroimaging (WIN), Department of Psychiatry, University of Oxford, Oxford, UK
- Department of Psychology and Wu Tsai Institute, Yale University, New Haven, CT, USA
| | - Paul J Harrison
- Department of Psychiatry, University of Oxford, Oxford, UK
- Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, UK
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2
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Lasagna CA, Pleskac TJ, Burton CZ, McInnis MG, Taylor SF, Tso IF. Mathematical modeling of risk-taking in bipolar disorder: Evidence of reduced behavioral consistency, with altered loss aversion specific to those with history of substance use disorder. COMPUTATIONAL PSYCHIATRY (CAMBRIDGE, MASS.) 2022; 6:96-116. [PMID: 36743406 PMCID: PMC9897236 DOI: 10.5334/cpsy.61] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Bipolar disorder (BD) is associated with excessive pleasure-seeking risk-taking behaviors that often characterize its clinical presentation. However, the mechanisms of risk-taking behavior are not well-understood in BD. Recent data suggest prior substance use disorder (SUD) in BD may represent certain trait-level vulnerabilities for risky behavior. This study examined the mechanisms of risk-taking and the role of SUD in BD via mathematical modeling of behavior on the Balloon Analogue Risk Task (BART). Three groups-18 euthymic BD with prior SUD (BD+), 15 euthymic BD without prior SUD (BD-), and 33 healthy comparisons (HC)-completed the BART. We modeled behavior using 4 competing hierarchical Bayesian models, and model comparison results favored the Exponential-Weight Mean-Variance (EWMV) model, which encompasses and delineates five cognitive components of risk-taking: prior belief, learning rate, risk preference, loss aversion, and behavioral consistency. Both BD groups, regardless of SUD history, showed lower behavioral consistency than HC. BD+ exhibited more pessimistic prior beliefs (relative to BD- and HC) and reduced loss aversion (relative to HC) during risk-taking on the BART. Traditional measures of risk-taking on the BART (adjusted pumps, total points, total pops) detected no group differences. These findings suggest that reduced behavioral consistency is a crucial feature of risky decision-making in BD and that SUD history in BD may signal additional trait vulnerabilities for risky behavior even when mood symptoms and substance use are in remission. This study also underscores the value of using mathematical modeling to understand behavior in research on complex disorders like BD.
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Affiliation(s)
- Carly A Lasagna
- Department of Psychology, University of Michigan, Ann Arbor, Michigan
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan
| | | | - Cynthia Z Burton
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan
| | - Melvin G McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan
| | - Stephan F Taylor
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan
| | - Ivy F Tso
- Department of Psychology, University of Michigan, Ann Arbor, Michigan
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan
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Harvey D, Lobban F, Rayson P, Warner A, Jones S. Natural Language Processing Methods and Bipolar Disorder: Scoping Review. JMIR Ment Health 2022; 9:e35928. [PMID: 35451984 PMCID: PMC9077496 DOI: 10.2196/35928] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 03/15/2022] [Accepted: 03/20/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Health researchers are increasingly using natural language processing (NLP) to study various mental health conditions using both social media and electronic health records (EHRs). There is currently no published synthesis that relates specifically to the use of NLP methods for bipolar disorder, and this scoping review was conducted to synthesize valuable insights that have been presented in the literature. OBJECTIVE This scoping review explored how NLP methods have been used in research to better understand bipolar disorder and identify opportunities for further use of these methods. METHODS A systematic, computerized search of index and free-text terms related to bipolar disorder and NLP was conducted using 5 databases and 1 anthology: MEDLINE, PsycINFO, Academic Search Ultimate, Scopus, Web of Science Core Collection, and the ACL Anthology. RESULTS Of 507 identified studies, a total of 35 (6.9%) studies met the inclusion criteria. A narrative synthesis was used to describe the data, and the studies were grouped into four objectives: prediction and classification (n=25), characterization of the language of bipolar disorder (n=13), use of EHRs to measure health outcomes (n=3), and use of EHRs for phenotyping (n=2). Ethical considerations were reported in 60% (21/35) of the studies. CONCLUSIONS The current literature demonstrates how language analysis can be used to assist in and improve the provision of care for people living with bipolar disorder. Individuals with bipolar disorder and the medical community could benefit from research that uses NLP to investigate risk-taking, web-based services, social and occupational functioning, and the representation of gender in bipolar disorder populations on the web. Future research that implements NLP methods to study bipolar disorder should be governed by ethical principles, and any decisions regarding the collection and sharing of data sets should ultimately be made on a case-by-case basis, considering the risk to the data participants and whether their privacy can be ensured.
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Affiliation(s)
- Daisy Harvey
- Spectrum Centre for Mental Health Research, Division of Health Research, School of Health and Medicine, Lancaster University, Lancaster, United Kingdom
| | - Fiona Lobban
- Spectrum Centre for Mental Health Research, Division of Health Research, School of Health and Medicine, Lancaster University, Lancaster, United Kingdom
| | - Paul Rayson
- Department of Computing and Communications, Lancaster University, Lancaster, United Kingdom
| | - Aaron Warner
- Spectrum Centre for Mental Health Research, Division of Health Research, School of Health and Medicine, Lancaster University, Lancaster, United Kingdom
| | - Steven Jones
- Spectrum Centre for Mental Health Research, Division of Health Research, School of Health and Medicine, Lancaster University, Lancaster, United Kingdom
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Pisanu C, Congiu D, Severino G, Ardau R, Chillotti C, Del Zompo M, Baune BT, Squassina A. Investigation of genetic loci shared between bipolar disorder and risk-taking propensity: potential implications for pharmacological interventions. Neuropsychopharmacology 2021; 46:1680-1692. [PMID: 34035470 PMCID: PMC8280111 DOI: 10.1038/s41386-021-01045-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 05/05/2021] [Accepted: 05/11/2021] [Indexed: 11/09/2022]
Abstract
Patients with bipolar disorder (BD) often show increased risk-taking propensity, which may contribute to poor clinical outcome. While these two phenotypes are genetically correlated, there is scarce knowledge on the shared genetic determinants. Using GWAS datasets on BD (41,917 BD cases and 371,549 controls) and risk-taking (n = 466,571), we dissected shared genetic determinants using conjunctional false discovery rate (conjFDR) and local genetic covariance analysis. We investigated specificity of identified targets using GWAS datasets on schizophrenia (SCZ) and attention-deficit hyperactivity disorder (ADHD). The putative functional role of identified targets was evaluated using different tools and GTEx v. 8. Target druggability was evaluated using DGIdb and enrichment for drug targets with genome for REPositioning drugs (GREP). Among 102 loci shared between BD and risk-taking, 87% showed the same direction of effect. Sixty-two were specifically shared between risk-taking propensity and BD, while the others were also shared between risk-taking propensity and either SCZ or ADHD. By leveraging pleiotropic enrichment, we reported 15 novel and specific loci associated with BD and 22 with risk-taking. Among cross-disorder genes, CACNA1C (a known target of calcium channel blockers) was significantly associated with risk-taking propensity and both BD and SCZ using conjFDR (p = 0.001 for both) as well as local genetic covariance analysis, and predicted to be differentially expressed in the cerebellar hemisphere in an eQTL-informed gene-based analysis (BD, Z = 7.48, p = 3.8E-14; risk-taking: Z = 4.66, p = 1.6E-06). We reported for the first time shared genetic determinants between BD and risk-taking propensity. Further investigation into calcium channel blockers or development of innovative ligands of calcium channels might form the basis for innovative pharmacotherapy in patients with BD with increased risk-taking propensity.
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Affiliation(s)
- Claudia Pisanu
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy
| | - Donatella Congiu
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy
| | - Giovanni Severino
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy
| | - Raffaella Ardau
- Unit of Clinical Pharmacology of the University Hospital of Cagliari, Cagliari, Italy
| | - Caterina Chillotti
- Unit of Clinical Pharmacology of the University Hospital of Cagliari, Cagliari, Italy
| | - Maria Del Zompo
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy
- Unit of Clinical Pharmacology of the University Hospital of Cagliari, Cagliari, Italy
| | - Bernhard T Baune
- Department of Psychiatry, University of Münster, Münster, Germany
- Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, VIC, Australia
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Alessio Squassina
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy.
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Zbtb16 regulates social cognitive behaviors and neocortical development. Transl Psychiatry 2021; 11:242. [PMID: 33895774 PMCID: PMC8068730 DOI: 10.1038/s41398-021-01358-y] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Revised: 03/28/2021] [Accepted: 04/09/2021] [Indexed: 02/02/2023] Open
Abstract
Zinc finger and BTB domain containing 16 (ZBTB16) play the roles in the neural progenitor cell proliferation and neuronal differentiation during development, however, how the function of ZBTB16 is involved in brain function and behaviors unknown. Here we show the deletion of Zbtb16 in mice leads to social impairment, repetitive behaviors, risk-taking behaviors, and cognitive impairment. To elucidate the mechanism underlying the behavioral phenotypes, we conducted histological analyses and observed impairments in thinning of neocortical layer 6 (L6) and a reduction of TBR1+ neurons in Zbtb16 KO mice. Furthermore, we found increased dendritic spines and microglia, as well as developmental defects in oligodendrocytes and neocortical myelination in the prefrontal cortex (PFC) of Zbtb16 KO mice. Using genomics approaches, we identified the Zbtb16 transcriptome that includes genes involved in neocortical maturation such as neurogenesis and myelination, and both autism spectrum disorder (ASD) and schizophrenia (SCZ) pathobiology. Co-expression networks further identified Zbtb16-correlated modules that are unique to ASD or SCZ, respectively. Our study provides insight into the novel roles of ZBTB16 in behaviors and neocortical development related to the disorders.
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A qualitative exploration of how people with bipolar disorder consider risk-taking in everyday decisions. Behav Cogn Psychother 2020; 49:314-327. [PMID: 33334387 DOI: 10.1017/s1352465820000946] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND Difficulties with decision making and risk taking in individuals with bipolar disorder (BD) have been associated with mood episodes. However, there is limited information about these experiences during euthymia, the mood state where people with BD spent the majority of their time. AIMS To examine how individuals with BD consider risk in everyday decisions during their euthymic phase. METHOD We conducted a qualitative study that used semi-structured audio recorded interviews. Eight euthymic participants with confirmed BD were interviewed, and we used interpretative phenomenological analysis to analyse the data. RESULTS We identified four themes. The first theme, 'Who I really am', involves the relationship between individual identity and risks taken. The second theme, 'Taking back control of my life', explored the relationship between risks taken as participants strove to keep control of their lives. The third theme, 'Fear of the "what ifs"', represents how the fear of negative consequences from taking risks impacts risk decisions. Finally, the fourth theme, 'The role of family and friends', highlights the important role that a supporting network can play in their lives in the context of taking risks. CONCLUSIONS The study highlights aspects that can impact on an individual with BD's consideration of risk during euthymia. Identity, control, fear and support all play a role when a person considers risk in their decision-making process, and they should be taken into consideration when exploring risk with individuals with BD in clinical settings, and inform the design of future interventions.
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7
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Gu YT, Zhou C, Yang J, Zhang Q, Zhu GH, Sun L, Ge MH, Wang YY. A transdiagnostic comparison of affective decision-making in patients with schizophrenia, major depressive disorder, or bipolar disorder. Psych J 2020; 9:199-209. [PMID: 32077267 DOI: 10.1002/pchj.351] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Revised: 12/03/2019] [Accepted: 01/30/2020] [Indexed: 11/11/2022]
Abstract
Deficit in decision-making has been found in patients with schizophrenia (SCZ), major depressive disorder (MDD), and bipolar disorder (BD), respectively, while the common and distinct characteristics of this deficit among these patients are still unclear. The present study aimed to make a transdiagnostic comparison of the affective decision-making ability in patients with SCZ, MDD, and BD. In this study, 33 patients with SCZ, 23 patients with MDD, 29 patients with BD, and 34 healthy controls (HCs) were recruited and the Iowa Gambling Task (IGT) was used to assess the affective decision-making ability. The results showed that all three diagnostic groups tended to select the disadvantageous decks but not advantageous decks compared to HCs. For patients with SCZ, an excessive preference for the disadvantageous decks with larger-magnitude less frequent punishments (deck B) may be the main reason of the deficit in affective decision-making, while that in patients with MDD was a significantly decreased ability to choose advantageous decks on the whole but with larger-magnitude less frequent punishments (deck D). As regards patients with BD, the concurrence of more choices of deck B and fewer choices of deck D was the characteristic of the deficit in affective decision-making. Our findings suggest a common affective decision-making impairment in the context of multiple choices in patients with SCZ, MDD, and BD, while the underlying mechanisms of the impairment among these patients may be slightly different.
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Affiliation(s)
- Yu-Ting Gu
- Department of Psychology, Weifang Medical University, Weifang, China
| | - Chen Zhou
- Department of Psychology, Weifang Medical University, Weifang, China
| | - Juan Yang
- Department of Psychiatry, Mental Health Centre of Weifang City, Weifang, China
| | - Qin Zhang
- Department of Psychology, Weifang Medical University, Weifang, China
| | - Guo-Hui Zhu
- Centre for Depression Therapy, Mental Health Centre of Weifang City, Weifang, China
| | - Lin Sun
- Department of Psychology, Weifang Medical University, Weifang, China
| | - Mao-Hong Ge
- Department of Psychiatry, Mental Health Centre of Weifang City, Weifang, China
| | - Yan-Yu Wang
- Department of Psychology, Weifang Medical University, Weifang, China
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8
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Duan Y, Cao J, Summergrad P, Wei J. A case report of persistent risky dietary behaviors in a bipolar disorder patient. BMC Psychiatry 2019; 19:353. [PMID: 31703657 PMCID: PMC6842225 DOI: 10.1186/s12888-019-2335-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2019] [Accepted: 10/23/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Bipolar disorder is associated with complicated medical comorbidities. The risk-taking behavior of bipolar disorder patients may lead to many problems. CASE PRESENTATION A 40-year-old male patient had gastrointestinal symptoms for 4 months. He was talkative, agitative, and grandiose but showed poor cognition. Multisystem injury required multidepartment, multidisciplinary consultation. Repeated fecal examination found multiple infections of Opisthorchis sinensis, Heterophyes, and Echinostomatidae. The diagnostic criteria for parasitic infections, bipolar disorder and organic mental disorder were met. After treatment with a mood stabilizer and helminthic, his mood became stable, but risky dietary behavior continued. CONCLUSIONS The case describes persistent risky dietary behaviors in a bipolar patient even after affective symptoms were under control, which ultimately led to diverse parasitic infections and chronic encephalopathy. We call for clinical and scientific attention to possible dangerous behavior changes in bipolar patients even after their emotions are stabilized.
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Affiliation(s)
- Yanping Duan
- 0000 0000 9889 6335grid.413106.1Department of Psychological Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100730 China
| | - Jinya Cao
- 0000 0000 9889 6335grid.413106.1Department of Psychological Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100730 China
| | - Paul Summergrad
- 0000 0000 8934 4045grid.67033.31Psychiatry and Inflammation Program, Department of Psychiatry, Tufts University School of Medicine, Boston, MA USA
| | - Jing Wei
- Department of Psychological Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100730, China.
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Strawbridge RJ, Ward J, Lyall LM, Tunbridge EM, Cullen B, Graham N, Ferguson A, Johnston KJA, Lyall DM, Mackay D, Cavanagh J, Howard DM, Adams MJ, Deary I, Escott-Price V, O'Donovan M, McIntosh AM, Bailey MES, Pell JP, Harrison PJ, Smith DJ. Genetics of self-reported risk-taking behaviour, trans-ethnic consistency and relevance to brain gene expression. Transl Psychiatry 2018; 8:178. [PMID: 30181555 PMCID: PMC6123450 DOI: 10.1038/s41398-018-0236-1] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2018] [Accepted: 08/05/2018] [Indexed: 12/25/2022] Open
Abstract
Risk-taking behaviour is an important component of several psychiatric disorders, including attention-deficit hyperactivity disorder, schizophrenia and bipolar disorder. Previously, two genetic loci have been associated with self-reported risk taking and significant genetic overlap with psychiatric disorders was identified within a subsample of UK Biobank. Using the white British participants of the full UK Biobank cohort (n = 83,677 risk takers versus 244,662 controls) for our primary analysis, we conducted a genome-wide association study of self-reported risk-taking behaviour. In secondary analyses, we assessed sex-specific effects, trans-ethnic heterogeneity and genetic overlap with psychiatric traits. We also investigated the impact of risk-taking-associated SNPs on both gene expression and structural brain imaging. We identified 10 independent loci for risk-taking behaviour, of which eight were novel and two replicated previous findings. In addition, we found two further sex-specific risk-taking loci. There were strong positive genetic correlations between risk-taking and attention-deficit hyperactivity disorder, bipolar disorder and schizophrenia. Index genetic variants demonstrated effects generally consistent with the discovery analysis in individuals of non-British White, South Asian, African-Caribbean or mixed ethnicity. Polygenic risk scores comprising alleles associated with increased risk taking were associated with lower white matter integrity. Genotype-specific expression pattern analyses highlighted DPYSL5, CGREF1 and C15orf59 as plausible candidate genes. Overall, our findings substantially advance our understanding of the biology of risk-taking behaviour, including the possibility of sex-specific contributions, and reveal consistency across ethnicities. We further highlight several putative novel candidate genes, which may mediate these genetic effects.
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Affiliation(s)
- Rona J Strawbridge
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
- Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden.
| | - Joey Ward
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Laura M Lyall
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Elizabeth M Tunbridge
- Department of Psychiatry, University of Oxford, Oxford, UK
- Oxford Health NHS Foundation Trust, Oxford, UK
| | - Breda Cullen
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Nicholas Graham
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Amy Ferguson
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Keira J A Johnston
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
- School of Life Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
- Division of Psychiatry, College of Medicine, University of Edinburgh, Edinburgh, UK
| | - Donald M Lyall
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Daniel Mackay
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Jonathan Cavanagh
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - David M Howard
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK
| | - Mark J Adams
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK
| | - Ian Deary
- Department of Psychology, University of Edinburgh, Edinburgh, EH8 9YL, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, EH8 9YL, UK
| | | | - Michael O'Donovan
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Andrew M McIntosh
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK
| | - Mark E S Bailey
- School of Life Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Jill P Pell
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Paul J Harrison
- Department of Psychiatry, University of Oxford, Oxford, UK
- Oxford Health NHS Foundation Trust, Oxford, UK
| | - Daniel J Smith
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
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10
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Strawbridge RJ, Ward J, Cullen B, Tunbridge EM, Hartz S, Bierut L, Horton A, Bailey MES, Graham N, Ferguson A, Lyall DM, Mackay D, Pidgeon LM, Cavanagh J, Pell JP, O'Donovan M, Escott-Price V, Harrison PJ, Smith DJ. Genome-wide analysis of self-reported risk-taking behaviour and cross-disorder genetic correlations in the UK Biobank cohort. Transl Psychiatry 2018; 8:39. [PMID: 29391395 PMCID: PMC5804026 DOI: 10.1038/s41398-017-0079-1] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2017] [Revised: 10/20/2017] [Accepted: 11/13/2017] [Indexed: 11/09/2022] Open
Abstract
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.
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Affiliation(s)
- Rona J Strawbridge
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
- Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.
| | - Joey Ward
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Breda Cullen
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Elizabeth M Tunbridge
- Department of Psychiatry, University of Oxford, Oxford, UK
- Oxford Health NHS Foundation Trust, Oxford, UK
| | - Sarah Hartz
- Department of Psychiatry, Washington University School of Medicine in St Louis, St Louis, MO, USA
| | - Laura Bierut
- Department of Psychiatry, Washington University School of Medicine in St Louis, St Louis, MO, USA
| | - Amy Horton
- Department of Psychiatry, Washington University School of Medicine in St Louis, St Louis, MO, USA
- Transmontane Analytics, Tuscon, AZ, USA
| | - Mark E S Bailey
- School of Life Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Nicholas Graham
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Amy Ferguson
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Donald M Lyall
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Daniel Mackay
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Laura M Pidgeon
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Jonathan Cavanagh
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Jill P Pell
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Michael O'Donovan
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | | | - Paul J Harrison
- Department of Psychiatry, University of Oxford, Oxford, UK
- Oxford Health NHS Foundation Trust, Oxford, UK
| | - Daniel J Smith
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
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