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Grigorenko EL. The extraordinary "ordinary magic" of resilience. Dev Psychopathol 2024:1-18. [PMID: 39363871 DOI: 10.1017/s0954579424000841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/05/2024]
Abstract
In this essay, I will briefly sample different instances of the utilization of the concept of resilience, attempting to complement a comprehensive representation of the field in the special issue of Development and Psychopathology inspired by the 42nd Minnesota Symposium on Child Psychology, hosted by the Institute of Child Development at the University of Minnesota and held in October of 2022. Having established the general context of the field, I will zoom in on some of its features, which I consider "low-hanging fruit" and which can be harvested in a systematic way to advance the study of resilience in the context of the future of developmental psychopathology.
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Flinkenflügel K, Gruber M, Meinert S, Thiel K, Winter A, Goltermann J, Usemann P, Brosch K, Stein F, Thomas-Odenthal F, Wroblewski A, Pfarr JK, David FS, Beins EC, Grotegerd D, Hahn T, Leehr EJ, Dohm K, Bauer J, Forstner AJ, Nöthen MM, Jamalabadi H, Straube B, Alexander N, Jansen A, Witt SH, Rietschel M, Nenadić I, van den Heuvel MP, Kircher T, Repple J, Dannlowski U. The interplay between polygenic score for tumor necrosis factor-α, brain structural connectivity, and processing speed in major depression. Mol Psychiatry 2024; 29:3151-3159. [PMID: 38693319 PMCID: PMC11449800 DOI: 10.1038/s41380-024-02577-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 04/15/2024] [Accepted: 04/19/2024] [Indexed: 05/03/2024]
Abstract
Reduced processing speed is a core deficit in major depressive disorder (MDD) and has been linked to altered structural brain network connectivity. Ample evidence highlights the involvement of genetic-immunological processes in MDD and specific depressive symptoms. Here, we extended these findings by examining associations between polygenic scores for tumor necrosis factor-α blood levels (TNF-α PGS), structural brain connectivity, and processing speed in a large sample of MDD patients. Processing speed performance of n = 284 acutely depressed, n = 177 partially and n = 198 fully remitted patients, and n = 743 healthy controls (HC) was estimated based on five neuropsychological tests. Network-based statistic was used to identify a brain network associated with processing speed. We employed general linear models to examine the association between TNF-α PGS and processing speed. We investigated whether network connectivity mediates the association between TNF-α PGS and processing speed. We identified a structural network positively associated with processing speed in the whole sample. We observed a significant negative association between TNF-α PGS and processing speed in acutely depressed patients, whereas no association was found in remitted patients and HC. The mediation analysis revealed that brain connectivity partially mediated the association between TNF-α PGS and processing speed in acute MDD. The present study provides evidence that TNF-α PGS is associated with decreased processing speed exclusively in patients with acute depression. This association was partially mediated by structural brain connectivity. Using multimodal data, the current findings advance our understanding of cognitive dysfunction in MDD and highlight the involvement of genetic-immunological processes in its pathomechanisms.
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Grants
- WI 3439/3-1, WI 3439/3-2 Deutsche Forschungsgemeinschaft (German Research Foundation)
- RI 908/11-1, RI 908/11-2 Deutsche Forschungsgemeinschaft (German Research Foundation)
- JA 1890/7-1, JA 1890/7-2 Deutsche Forschungsgemeinschaft (German Research Foundation)
- EP-C-16-015 EPA
- DA1151/5-1, DA1151/5-2, DA1151/11‑1 DA1151/6-1 Deutsche Forschungsgemeinschaft (German Research Foundation)
- NO 246/10-1, NO 246/10-2 Deutsche Forschungsgemeinschaft (German Research Foundation)
- HA7070/2-2, HA7070/3, HA7070/4 Deutsche Forschungsgemeinschaft (German Research Foundation)
- STR 1146/18-1 Deutsche Forschungsgemeinschaft (German Research Foundation)
- ERC-COG 101001062, VIDI-452-16-015 Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Netherlands Organisation for Scientific Research)
- KI 588/14-1, KI 588/14-2, KI 588/22-1 Deutsche Forschungsgemeinschaft (German Research Foundation)
- Interdisziplinäres Zentrum für Klinische Forschung, medizinische Fakultät, Münster (Dan3/012/17)
- Innovative medizinische Forschung Münster (IMF): RE111604, RE111722, RE 221707
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Affiliation(s)
- Kira Flinkenflügel
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Marius Gruber
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Goethe University, Frankfurt, Germany
| | - Susanne Meinert
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
- Institute for Translational Neuroscience, University of Münster, Münster, Germany
| | - Katharina Thiel
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Alexandra Winter
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Janik Goltermann
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Paula Usemann
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Katharina Brosch
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Frederike Stein
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Florian Thomas-Odenthal
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Adrian Wroblewski
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Julia-Katharina Pfarr
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Friederike S David
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Eva C Beins
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Dominik Grotegerd
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Tim Hahn
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Elisabeth J Leehr
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Katharina Dohm
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Jochen Bauer
- Department of Radiology, University of Münster, Münster, Germany
| | - Andreas J Forstner
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
- Institute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany
- Center for Human Genetics, University of Marburg, Marburg, Germany
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Hamidreza Jamalabadi
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Benjamin Straube
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Nina Alexander
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Andreas Jansen
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg, Marburg, Germany
- Core-Facility Brainimaging, Faculty of Medicine, University of Marburg, Marburg, Germany
| | - Stephanie H Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Martijn P van den Heuvel
- Connectome Lab, Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands
- Department of Child Psychiatry, Amsterdam University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Jonathan Repple
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Goethe University, Frankfurt, Germany
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, Germany.
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Crouse JJ, Park SH, Byrne EM, Mitchell BL, Scott J, Medland SE, Lin T, Wray NR, Martin NG, Hickie IB. Patterns of stressful life events and polygenic scores for five mental disorders and neuroticism among adults with depression. Mol Psychiatry 2024; 29:2765-2773. [PMID: 38575805 PMCID: PMC11420070 DOI: 10.1038/s41380-024-02492-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 02/08/2024] [Accepted: 02/20/2024] [Indexed: 04/06/2024]
Abstract
The dominant ('general') version of the diathesis-stress theory of depression views stressors and genetic vulnerability as independent risks. In the Australian Genetics of Depression Study (N = 14,146; 75% female), we tested whether polygenic scores (PGS) for major depression, bipolar disorder, schizophrenia, anxiety, ADHD, and neuroticism were associated with reported exposure to 32 childhood, past-year, lifetime, and accumulated stressful life events (SLEs). In false discovery rate-corrected models, the clearest PGS-SLE relationships were for the ADHD- and depression-PGSs, and to a lesser extent, the anxiety- and schizophrenia-PGSs. We describe the associations for childhood and accumulated SLEs, and the 2-3 strongest past-year/lifetime SLE associations. Higher ADHD-PGS was associated with all childhood SLEs (emotional abuse, emotional neglect, physical neglect; ORs = 1.09-1.14; p's < 1.3 × 10-5), more accumulated SLEs, and reported exposure to sudden violent death (OR = 1.23; p = 3.6 × 10-5), legal troubles (OR = 1.15; p = 0.003), and sudden accidental death (OR = 1.14; p = 0.006). Higher depression-PGS was associated with all childhood SLEs (ORs = 1.07-1.12; p's < 0.013), more accumulated SLEs, and severe human suffering (OR = 1.17; p = 0.003), assault with a weapon (OR = 1.12; p = 0.003), and living in unpleasant surroundings (OR = 1.11; p = 0.001). Higher anxiety-PGS was associated with childhood emotional abuse (OR = 1.08; p = 1.6 × 10-4), more accumulated SLEs, and serious accident (OR = 1.23; p = 0.004), physical assault (OR = 1.08; p = 2.2 × 10-4), and transportation accident (OR = 1.07; p = 0.001). Higher schizophrenia-PGS was associated with all childhood SLEs (ORs = 1.12-1.19; p's < 9.3-8), more accumulated SLEs, and severe human suffering (OR = 1.16; p = 0.003). Higher neuroticism-PGS was associated with living in unpleasant surroundings (OR = 1.09; p = 0.007) and major financial troubles (OR = 1.06; p = 0.014). A reversed pattern was seen for the bipolar-PGS, with lower odds of reported physical assault (OR = 0.95; p = 0.014), major financial troubles (OR = 0.93; p = 0.004), and living in unpleasant surroundings (OR = 0.92; p = 0.007). Genetic risk for several mental disorders influences reported exposure to SLEs among adults with moderately severe, recurrent depression. Our findings emphasise that stressors and diatheses are inter-dependent and challenge diagnosis and subtyping (e.g., reactive/endogenous) based on life events.
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Affiliation(s)
- Jacob J Crouse
- Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Shin Ho Park
- Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Enda M Byrne
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
- Child Health Research Centre, The University of Queensland, Brisbane, QLD, Australia
| | - Brittany L Mitchell
- Mental Health and Neuroscience Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Jan Scott
- Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
- Academic Psychiatry, Institute of Neuroscience, Newcastle University, Newcastle, UK
- Norwegian University of Science and Technology, Trondheim, Norway
- Université de Paris, Paris, France
| | - Sarah E Medland
- Mental Health and Neuroscience Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Tian Lin
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
| | - Naomi R Wray
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Department of Psychiatry, University of Oxford, Oxford, UK
- Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | - Nicholas G Martin
- Mental Health and Neuroscience Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Ian B Hickie
- Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
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Grillo AR. Polygene by environment interactions predicting depressive outcomes. Am J Med Genet B Neuropsychiatr Genet 2024:e33000. [PMID: 39012198 DOI: 10.1002/ajmg.b.33000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 06/13/2024] [Accepted: 06/17/2024] [Indexed: 07/17/2024]
Abstract
Depression is a major public health problem with a continued need to uncover its etiology. Current models of depression contend that gene-by-environment (G × E) interactions influence depression risk, and further, that depression is polygenic. Thus, recent models have emphasized two polygenic approaches: a hypothesis-driven multilocus genetic profile score (MGPS; "MGPS × E") and a polygenic risk score (PRS; "PRS × E") derived from genome-wide association studies (GWAS). This review for the first time synthesizes current knowledge on polygene by environment "P × E" interaction research predicting primarily depression-related outcomes, and in brief, neurobiological outcomes. The "environment" of focus in this project is stressful life events. It further discusses findings in the context of differential susceptibility and diathesis-stress theories-two major theories guiding G × E work. This synthesis indicates that, within the MGPS literature, polygenic scores based on the serotonin system, the HPA axis, or across multiple systems, interact with environmental stress exposure to predict outcomes at multiple levels of analyses and most consistently align with differential susceptibility theory. Depressive outcomes are the most studied, but neuroendocrine, and neuroimaging findings are observed as well. By contrast, vast methodological differences between GWAS-based PRS studies contribute to mixed findings that yield inconclusive results.
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Affiliation(s)
- Alessandra R Grillo
- Department of Psychology, University of North Carolina, Greensboro, North Carolina, USA
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Fabbri C, Lewis CM, Serretti A. Polygenic risk scores for mood and related disorders and environmental factors: Interaction effects on wellbeing in the UK biobank. Prog Neuropsychopharmacol Biol Psychiatry 2024; 132:110972. [PMID: 38367896 DOI: 10.1016/j.pnpbp.2024.110972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 12/15/2023] [Accepted: 02/14/2024] [Indexed: 02/19/2024]
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.
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Affiliation(s)
- Chiara Fabbri
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy.
| | - Cathryn M Lewis
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Alessandro Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy; Department of Medicine and Surgery, Kore University of Enna, Enna, Italy
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Na PJ, Deak JD, Kranzler HR, Pietrzak RH, Gelernter J. Genetic and non-genetic predictors of risk for opioid dependence. Psychol Med 2024; 54:1779-1786. [PMID: 38317430 PMCID: PMC11132928 DOI: 10.1017/s0033291723003732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2024]
Abstract
BACKGROUND Elucidation of the interaction of biological and psychosocial/environmental factors on opioid dependence (OD) risk can inform our understanding of the etiology of OD. We examined the role of psychosocial/environmental factors in moderating polygenic risk for opioid use disorder (OUD). METHODS Data from 1958 European ancestry adults who participated in the Yale-Penn 3 study were analyzed. Polygenic risk scores (PRS) were based on a large-scale multi-trait analysis of genome-wide association studies (MTAG) of OUD. RESULTS A total of 420 (21.1%) individuals had a lifetime diagnosis of OD. OUD PRS were positively associated with OD (odds ratio [OR] 1.42, 95% confidence interval [CI] 1.21-1.66). Household income and education were the strongest correlates of OD. Among individuals with higher OUD PRS, those with higher education level had lower odds of OD (OR 0.92, 95% CI 0.85-0.98); and those with posttraumatic stress disorder (PTSD) were more likely to have OD relative to those without PTSD (OR 1.56, 95% CI 1.04-2.35). CONCLUSIONS Results suggest an interplay between genetics and psychosocial environment in contributing to OD risk. While PRS alone do not yet have useful clinical predictive utility, psychosocial factors may help enhance prediction. These findings could inform more targeted clinical and policy interventions to help address this public health crisis.
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Affiliation(s)
- Peter J. Na
- VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Joseph D. Deak
- VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Henry R. Kranzler
- Mental Illness Research, Education and Clinical Center, Veterans Integrated Service Network 4, Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Robert H. Pietrzak
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- National Center for PTSD, VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Social and Behavioral Sciences, Yale School of Public Health, New Haven, CT, USA
| | - Joel Gelernter
- VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
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Kendler KS, Lönn SL, Sundquist J, Sundquist K. The joint effects of genetic liability and the death of close relatives on risk for major depression and alcohol use disorder in a Swedish national sample. Psychol Med 2024; 54:1709-1716. [PMID: 38173119 DOI: 10.1017/s0033291723003641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
BACKGROUND To determine whether genetic risk factors for major depression (MD) and alcohol use disorder (AUD) interact with a potent stressor - death of spouse, parent, and sibling - in predicting episodes of, respectively, MD and AUD. METHODS MD and AUD registrations were assessed from national Swedish registries. In individuals born in Sweden 1960-1970, we identified 7586, 388 459, and 34 370 with the loss of, respectively, a spouse, parent, and sibling. We started following subjects at age 18 or the year 2002 with end of follow-up in 2018. We examined time to event - a registration for MD within 6 months or AUD within a year - on an additive scale, using the Nelson-Aalen estimator. Genetic risk was assessed by the Family Genetic Risk Score (FGRS). RESULTS In separate models controlling for the main effects of death of spouse, parent, and sibling, FGRS, and sex, significant interactions were seen in all analyses between genetic risk for MD and death of relative in prediction of subsequent MD registration. A similar pattern of results, albeit with weaker interaction effects, was seen for genetic risk for AUD and risk for AUD registration. Genetic risk for bipolar disorder (BD) and anxiety disorders (AD) also interacted with event exposure in predicting MD. CONCLUSIONS Genetic risk for both MD and AUD act in part by increasing the sensitivity of individuals to the pathogenic effects of environmental stressors. For prediction of MD, similar effects are also seen for genetic risk for AD and BD.
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Affiliation(s)
- Kenneth S Kendler
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - Sara L Lönn
- Center for Primary Health Care Research, Lund University, Malmö, Sweden
| | - Jan Sundquist
- Center for Primary Health Care Research, Lund University, Malmö, Sweden
- Department of Family Medicine and Community Health, Department of Population Health, Lund University, Malmö, Sweden
| | - Kristina Sundquist
- Center for Primary Health Care Research, Lund University, Malmö, Sweden
- Department of Family Medicine and Community Health, Department of Population Health, Lund University, Malmö, Sweden
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Edwards AC, Lannoy S, Stephenson ME, Kendler KS, Salvatore JE. Divorce, genetic risk, and suicidal thoughts and behaviors in a sample with recurrent major depressive disorder. J Affect Disord 2024; 354:642-648. [PMID: 38521136 PMCID: PMC11015957 DOI: 10.1016/j.jad.2024.03.100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 03/18/2024] [Accepted: 03/20/2024] [Indexed: 03/25/2024]
Abstract
BACKGROUND Theories of risk for suicidal thoughts and behaviors (STB) implicate both interpersonal and biological factors. Divorce/separation and aggregate genetic liability are robustly associated with STB, but have seldom been evaluated in conjunction with one another. Furthermore, whether these factors are effective predictors in high-risk populations is not clear. METHODS Analyses were conducted in a sample of Han Chinese women with severe recurrent major depressive disorder (maximum N = 4380). Logistic regressions were used to evaluate the associations between divorce/separation and polygenic scores (PGS) for suicidal ideation or behavior with STB. Where appropriate, additive interactions between divorce and PGS were tested. RESULTS Divorce/separation was significantly associated with increased risk of suicidal ideation, plans, and attempts (odds ratios = 1.28-1.61). PGS for suicidal ideation were not associated with STB, while PGS for suicidal behavior were associated with ideation and plans (odds ratios = 1.08-1.09). There were no significant interactions between divorce/separation and PGS. CONCLUSIONS Consistent with theories of suicidality, the disruption or end of an important interpersonal relationship is an indicator of risk for STB. Aggregate genetic liability for suicidal behavior more modestly contributes to risk, but does not exacerbate the negative impact of divorce. Thus, even within a high-risk sample, interpersonal and biological exposures distinguish between those who do and do not experience STB, and could motivate targeted screening. Further research is necessary to evaluate whether and how the context of divorce contributes to variation in its effect on STB risk.
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Affiliation(s)
- Alexis C Edwards
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA, USA.
| | - Séverine Lannoy
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
| | - Mallory E Stephenson
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
| | - Kenneth S Kendler
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
| | - Jessica E Salvatore
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
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Schowe AM, Godara M, Czamara D, Adli M, Singer T, Binder EB. Genetic predisposition for negative affect predicts mental health burden during the COVID-19 pandemic. Eur Arch Psychiatry Clin Neurosci 2024:10.1007/s00406-024-01795-y. [PMID: 38587666 DOI: 10.1007/s00406-024-01795-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 03/09/2024] [Indexed: 04/09/2024]
Abstract
The coronavirus disease 2019 (COVID-19) pandemic was accompanied by an increase in mental health challenges including depression, stress, loneliness, and anxiety. Common genetic variants can contribute to the risk for psychiatric disorders and may present a risk factor in times of crises. However, it is unclear to what extent polygenic risk played a role in the mental health response to the COVID-19 pandemic. In this study, we investigate whether polygenic scores (PGSs) for mental health-related traits can distinguish between four resilience-vulnerability trajectories identified during the COVID-19 pandemic and associated lockdowns in 2020/21. We used multinomial regression in a genotyped subsample (n = 1316) of the CovSocial project. The most resilient trajectory characterized by the lowest mental health burden and the highest recovery rates served as the reference group. Compared to this most resilient trajectory, a higher value on the PGS for the well-being spectrum decreased the odds for individuals to be in one of the more vulnerable trajectories (adjusted R-square = 0.3%). Conversely, a higher value on the PGS for neuroticism increased the odds for individuals to be in one of the more vulnerable trajectories (adjusted R-square = 0.2%). Latent change in mental health burden extracted from the resilience-vulnerability trajectories was not associated with any PGS. Although our findings support an influence of PGS on mental health during COVID-19, the small added explained variance suggests limited utility of such genetic markers for the identification of vulnerable individuals in the general population.
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Affiliation(s)
- Alicia M Schowe
- Department of Genes and Environment, Max Planck Institute of Psychiatry, Munich, Germany.
- Graduate School of Systemic Neuroscience, Ludwig Maximilian University, Munich, Germany.
| | - Malvika Godara
- Social Neuroscience Lab, Max Planck Society, 10557, Berlin, Germany.
| | - Darina Czamara
- Department of Genes and Environment, Max Planck Institute of Psychiatry, Munich, Germany
| | - Mazda Adli
- Department of Psychiatry and Neurosciences, CCM, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Center for Psychiatry, Psychotherapy and Psychosomatic Medicine, Fliedner Klinik Berlin, Berlin, Germany
| | - Tania Singer
- Social Neuroscience Lab, Max Planck Society, 10557, Berlin, Germany
| | - Elisabeth B Binder
- Department of Genes and Environment, Max Planck Institute of Psychiatry, Munich, Germany
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10
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Hosang GM, Shakoor S, King N, Sanches M, Vincent JB, Kennedy JL, McGuffin P, Keers R, Zai CC. Interplay between polygenic risk for mood disorders and stressful life events in bipolar disorder. J Affect Disord 2024; 350:565-572. [PMID: 38246285 DOI: 10.1016/j.jad.2024.01.167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 12/18/2023] [Accepted: 01/16/2024] [Indexed: 01/23/2024]
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 (β = 0.13, 95 % CI:0.04-0.22, p = 0.003) and dependent SLEs (β = 0.09, 95 % CI:0.02-0.16, p = 0.007). After correction for multiple testing nominally significant correlations were detected for PRS-BD with total number of SLEs (β = 0.11, 95 % CI:0.02-0.20, p = 0.015) and dependent SLEs (β = 0.08, 95 % CI:0.01-0.15, p = 0.019). Among bipolar cases, these associations were slightly stronger but were only of nominal significance for total number of SLEs (PRS-MDD: β = 0.19, 95 % CI:0.04-0.35, p = 0.015; PRS-BD: β = 0.16, 95 % CI:0.01-0.32, p = 0.042) and dependent SLEs (PRS-MDD: β = 0.14, 95 % CI:0.03-0.26, p = 0.015; PRS-BD: β = 0.12, 95 % CI:0.004-0.24, 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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Affiliation(s)
- Georgina M Hosang
- 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.
| | - Sania Shakoor
- 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
| | - Nicole King
- Tanenbaum Centre for Pharmacogenetics, Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Canada
| | - Marcos Sanches
- Tanenbaum Centre for Pharmacogenetics, Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Canada
| | - John B Vincent
- 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
| | - James L Kennedy
- 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, Toronto, Canada
| | - Peter McGuffin
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | - Robert Keers
- Department of Biological and Experimental Psychology, Queen Mary, University of London, UK
| | - Clement C Zai
- 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, Toronto, Canada; Laboratory Medicine and Pathobiology, University of Toronto, Canada; Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
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11
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Hannigan LJ, Lund IO, Dahl Askelund A, Ystrom E, Corfield EC, Ask H, Havdahl A. Genotype-environment interplay in associations between maternal drinking and offspring emotional and behavioral problems. Psychol Med 2024; 54:203-214. [PMID: 37929303 DOI: 10.1017/s0033291723003057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2023]
Abstract
BACKGROUND While maternal at-risk drinking is associated with children's emotional and behavioral problems, there is a paucity of research that properly accounts for genetic confounding and gene-environment interplay. Therefore, it remains uncertain what mechanisms underlie these associations. We assess the moderation of associations between maternal at-risk drinking and childhood emotional and behavioral problems by common genetic variants linked to environmental sensitivity (genotype-by-environment [G × E] interaction) while accounting for shared genetic risk between mothers and offspring (GE correlation). METHODS We use data from 109 727 children born to 90 873 mothers enrolled in the Norwegian Mother, Father, and Child Cohort Study. Women self-reported alcohol consumption and reported emotional and behavioral problems when children were 1.5/3/5 years old. We included child polygenic scores (PGSs) for traits linked to environmental sensitivity as moderators. RESULTS Associations between maternal drinking and child emotional (β1 = 0.04 [95% confidence interval (CI) 0.03-0.05]) and behavioral (β1 = 0.07 [0.06-0.08]) outcomes attenuated after controlling for measured confounders and were almost zero when we accounted for unmeasured confounding (emotional: β1 = 0.01 [0.00-0.02]; behavioral: β1 = 0.01 [0.00-0.02]). We observed no moderation of these adjusted exposure effects by any of the PGS. CONCLUSIONS The lack of strong evidence for G × E interaction may indicate that the mechanism is not implicated in this kind of intergenerational association. It may also reflect insufficient power or the relatively benign nature of the exposure in this sample.
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Affiliation(s)
- Laurie John Hannigan
- Nic Waals Institute, Lovisenberg Diaconal Hospital, Oslo, Norway
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
- MRC (Medical Research Council) Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Ingunn Olea Lund
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Adrian Dahl Askelund
- Nic Waals Institute, Lovisenberg Diaconal Hospital, Oslo, Norway
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
| | - Eivind Ystrom
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
- PROMENTA, Department of Psychology, University of Oslo, Oslo, Norway
- School of Pharmacy, University of Oslo, Oslo, Norway
| | - Elizabeth C Corfield
- Nic Waals Institute, Lovisenberg Diaconal Hospital, Oslo, Norway
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
| | - Helga Ask
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
- PROMENTA, Department of Psychology, University of Oslo, Oslo, Norway
| | - Alexandra Havdahl
- Nic Waals Institute, Lovisenberg Diaconal Hospital, Oslo, Norway
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
- MRC (Medical Research Council) Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- PROMENTA, Department of Psychology, University of Oslo, Oslo, Norway
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12
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Na P, Zhou H, Montalvo-Ortiz JL, Cabrera-Mendoza B, Petrakis IL, Krystal JH, Polimanti R, Gelernter J, Pietrzak RH. Positive personality traits moderate persistent high alcohol consumption, determined by polygenic risk in U.S. military veterans: results from a 10-year, population-based, observational cohort study. Psychol Med 2023; 53:7893-7901. [PMID: 37642191 DOI: 10.1017/s003329172300199x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
BACKGROUND Understanding the interplay between psychosocial factors and polygenic risk scores (PRS) may help elucidate the biopsychosocial etiology of high alcohol consumption (HAC). This study examined the psychosocial moderators of HAC, determined by polygenic risk in a 10-year longitudinal study of US military veterans. We hypothesized that positive psychosocial traits (e.g. social support, personality traits, optimism, gratitude) may buffer risk of HAC in veterans with greater polygenic liability for alcohol consumption (AC). METHODS Data were analyzed from 1323 European-American US veterans who participated in the National Health and Resilience in Veterans Study, a 10-year, nationally representative longitudinal study of US military veterans. PRS reflecting genome-wide risk for AC (AUDIT-C) was derived from a Million Veteran Program genome-wide association study (N = 200 680). RESULTS Among the total sample, 328 (weighted 24.8%) had persistent HAC, 131 (weighted 9.9%) had new-onset HAC, 44 (weighted 3.3%) had remitted HAC, and 820 (weighted 62.0%) had no/low AC over the 10-year study period. AUDIT-C PRS was positively associated with persistent HAC relative to no/low AC [relative risk ratio (RRR) = 1.43, 95% confidence interval (CI) = 1.23-1.67] and remitted HAC (RRR = 1.63, 95% CI = 1.07-2.50). Among veterans with higher AUDIT-C PRS, greater baseline levels of agreeableness and greater dispositional gratitude were inversely associated with persistent HAC. CONCLUSIONS AUDIT-C PRS was prospectively associated with persistent HAC over a 10-year period, and agreeableness and dispositional gratitude moderated this association. Clinical interventions designed to target these modifiable psychological traits may help mitigate risk of persistent HAC in veterans with greater polygenic liability for persistent HAC.
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Affiliation(s)
- Peter Na
- VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Hang Zhou
- VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Janitza L Montalvo-Ortiz
- VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Brenda Cabrera-Mendoza
- VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Ismene L Petrakis
- VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- National Center for PTSD, VA Connecticut Healthcare System, West Haven, CT, USA
| | - John H Krystal
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- National Center for PTSD, VA Connecticut Healthcare System, West Haven, CT, USA
| | - Renato Polimanti
- VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Joel Gelernter
- VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Robert H Pietrzak
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- National Center for PTSD, VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Social and Behavioral Sciences, Yale School of Public Health, New Haven, CT, USA
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13
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Peter HL, Giglberger M, Streit F, Frank J, Kreuzpointner L, Rietschel M, Kudielka BM, Wüst S. Association of polygenic scores for depression and neuroticism with perceived stress in daily life during a long-lasting stress period. GENES, BRAIN, AND BEHAVIOR 2023; 22:e12872. [PMID: 37876358 PMCID: PMC10733580 DOI: 10.1111/gbb.12872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 07/31/2023] [Accepted: 10/06/2023] [Indexed: 10/26/2023]
Abstract
Genetic factors contribute significantly to interindividual differences in the susceptibility to stress-related disorders. As stress can also be conceptualized as environmental exposure, controlled gene-environment interaction (GxE) studies with an in-depth phenotyping may help to unravel mechanisms underlying the interplay between genetic factors and stress. In a prospective-longitudinal quasi-experimental study, we investigated whether polygenic scores (PGS) for depression (DEP-PGS) and neuroticism (NEU-PGS), respectively, were associated with responses to chronic stress in daily life. We examined law students (n = 432) over 13 months. Participants in the stress group experienced a long-lasting stress phase, namely the preparation for the first state examination for law students. The control group consisted of law students without particular stress exposure. In the present manuscript, we analyzed perceived stress levels assessed at high frequency and in an ecologically valid manner by ambulatory assessments as well as depression symptoms and two parameters of the cortisol awakening response. The latter was only assessed in a subsample (n = 196). No associations between the DEP-PGS and stress-related variables were found. However, for the NEU-PGS we found a significant GxE effect. Only in individuals experiencing academic stress a higher PGS for neuroticism predicted stronger increases of perceived stress levels until the exam. At baseline, a higher NEU-PGS was associated with higher perceived stress levels in both groups. Despite the small sample size, we provide preliminary evidence that the genetic disposition for neuroticism is associated with stress level increases in daily life during a long-lasting stress period.
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Affiliation(s)
- Hannah L. Peter
- Institute of PsychologyUniversity of RegensburgRegensburgGermany
| | | | - Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental HealthUniversity of MannheimMannheimGermany
| | - Josef Frank
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental HealthUniversity of MannheimMannheimGermany
| | | | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental HealthUniversity of MannheimMannheimGermany
| | | | - Stefan Wüst
- Institute of PsychologyUniversity of RegensburgRegensburgGermany
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14
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Lea AJ, Clark AG, Dahl AW, Devinsky O, Garcia AR, Golden CD, Kamau J, Kraft TS, Lim YAL, Martins DJ, Mogoi D, Pajukanta P, Perry GH, Pontzer H, Trumble BC, Urlacher SS, Venkataraman VV, Wallace IJ, Gurven M, Lieberman DE, Ayroles JF. Applying an evolutionary mismatch framework to understand disease susceptibility. PLoS Biol 2023; 21:e3002311. [PMID: 37695771 PMCID: PMC10513379 DOI: 10.1371/journal.pbio.3002311] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Revised: 09/21/2023] [Indexed: 09/13/2023] Open
Abstract
Noncommunicable diseases (NCDs) are on the rise worldwide. Obesity, cardiovascular disease, and type 2 diabetes are among a long list of "lifestyle" diseases that were rare throughout human history but are now common. The evolutionary mismatch hypothesis posits that humans evolved in environments that radically differ from those we currently experience; consequently, traits that were once advantageous may now be "mismatched" and disease causing. At the genetic level, this hypothesis predicts that loci with a history of selection will exhibit "genotype by environment" (GxE) interactions, with different health effects in "ancestral" versus "modern" environments. To identify such loci, we advocate for combining genomic tools in partnership with subsistence-level groups experiencing rapid lifestyle change. In these populations, comparisons of individuals falling on opposite extremes of the "matched" to "mismatched" spectrum are uniquely possible. More broadly, the work we propose will inform our understanding of environmental and genetic risk factors for NCDs across diverse ancestries and cultures.
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Affiliation(s)
- Amanda J. Lea
- Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Andrew G. Clark
- Department of Molecular Biology & Genetics, Cornell University, Ithaca, New York, United States of America
| | - Andrew W. Dahl
- Department of Medicine, University of Chicago, Chicago, Illinois, United States of America
| | - Orrin Devinsky
- Department of Neurology, NYU Langone Comprehensive Epilepsy Center, NYU Grossman School of Medicine, New York, New York, United States of America
| | - Angela R. Garcia
- Department of Anthropology, Stanford University, Stanford, California, United States of America
| | - Christopher D. Golden
- Department of Nutrition, Harvard T H Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Joseph Kamau
- One Health Centre, Institute of Primate Research, Karen, Nairobi, Kenya
| | - Thomas S. Kraft
- Department of Anthropology, University of Utah, Salt Lake City, Utah, United States of America
| | - Yvonne A. L. Lim
- Department of Parasitology, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Dino J. Martins
- Turkana Basin Institute, Stony Brook University, Stony Brook, New York, United States of America
| | - Donald Mogoi
- Department of Medical Services and Public Health, Ministry of Health Laikipia County, Nanyuki, Kenya
| | - Päivi Pajukanta
- Department of Human Genetics, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, California, United States of America
| | - George H. Perry
- Departments of Anthropology and Biology, The Pennsylvania State University, University Park, Pennsylvania, United States of America
| | - Herman Pontzer
- Department of Evolutionary Anthropology, Duke University, Durham, North Carolina, United States of America
- Duke Global Health Institute, Duke University, Durham, North Carolina, United States of America
| | - Benjamin C. Trumble
- School of Human Evolution and Social Change, Arizona State University, Tempe, Arizona, United States of America
- Center for Evolution and Medicine, Arizona State University, Tempe, Arizona, United States of America
| | - Samuel S. Urlacher
- Department of Anthropology, Baylor University, Waco, Texas, United States of America
| | - Vivek V. Venkataraman
- Department of Anthropology and Archaeology, University of Calgary, Calgary, Alberta, Canada
| | - Ian J. Wallace
- Department of Anthropology, University of New Mexico, Albuquerque, New Mexico, United States of America
| | - Michael Gurven
- Department of Anthropology, University of California Santa Barbara, Santa Barbara, California, United States of America
| | - Daniel E. Lieberman
- Department of Human Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America
| | - Julien F. Ayroles
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, United States of America
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15
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Handley ED, Russotti J, Ross AJ, Toth SL, Cicchetti D. A person-centered data analytic approach to dopaminergic polygenic moderation of child maltreatment exposure. Dev Psychobiol 2023; 65:e22403. [PMID: 37338249 PMCID: PMC10287038 DOI: 10.1002/dev.22403] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 04/27/2023] [Accepted: 05/03/2023] [Indexed: 06/21/2023]
Abstract
The present study illustrates the utility of latent class analysis, a person-centered data analytic approach, as an innovative method for identifying naturally occurring patterns of polygenic risk, specifically within the dopaminergic system. Moreover, this study tests whether latent classes of polygenic variation moderate the effect of child maltreatment exposure on internalizing symptoms among African ancestry youth. African ancestry youth were selected for this study because youth of color are overrepresented in the child welfare system and because African ancestry individuals are significantly underrepresented in genomics research. Results identified three latent classes of dopaminergic gene variation. Class 1 was marked predominately by homozygous minor alleles, Class 2 was characterized by homozygous major and heterozygous presentations, and Class 3 was marked by heterozygous alleles on the DAT-1 single-nucleotide polymorphisms (SNPs) and a combination of homozygous major and minor alleles on the other SNPs. Results indicated that a greater number of maltreatment subtypes experienced were associated with higher internalizing symptoms only for children with the latent polygenic Class 2 pattern. This latent class was distinctly characterized by more homozygous major or heterozygous allelic presentations along all three DAT-1 SNPs. This significant latent polygenic class by environment interaction was replicated in an independent replication sample. Together, findings suggest that African ancestry children with a pattern of dopaminergic variation characterized by this specific combination of polygenic variation are more vulnerable to developing internalizing symptoms following maltreatment exposure, relative to their peers with other dopamine-related polygenic patterns.
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Affiliation(s)
| | | | | | | | - Dante Cicchetti
- Mt. Hope Family Center, University of Rochester
- University of Minnesota
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16
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Shiroshita A, Yamamoto N, Saka N, Shiba H, Toki S, Yamamoto M, Dohi E, Kataoka Y. Expanding the Scope: In-depth Review of Interaction in Regression Models. ANNALS OF CLINICAL EPIDEMIOLOGY 2023; 6:25-32. [PMID: 38606039 PMCID: PMC11006550 DOI: 10.37737/ace.24005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/13/2024]
Affiliation(s)
- Akihiro Shiroshita
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine
- Scientific Research Works Peer Support Group (SRWS-PSG)
| | - Norio Yamamoto
- Scientific Research Works Peer Support Group (SRWS-PSG)
- Department of Epidemiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
| | - Natsumi Saka
- Scientific Research Works Peer Support Group (SRWS-PSG)
- Department of Health Research Methods, Evidence & Impact, McMaster University
- Department of Orthopedic Surgery, Teikyo University School of Medicine
| | - Hiroshi Shiba
- Department of Internal Medicine, Suwa Central Hospital
| | - Shinji Toki
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine, Vanderbilt University School of Medicine
| | - Mari Yamamoto
- Department of Rheumatology and Nephrology,Chubu Rosai Hospital
| | - Eisuke Dohi
- Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry
| | - Yuki Kataoka
- Department of Epidemiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
- Department of Internal Medicine, Kyoto Min-Iren Asukai Hospital
- Section of Clinical Epidemiology, Department of Community Medicine, Kyoto University Graduate School of Medicine
- Department of Healthcare Epidemiology, Kyoto University Graduate School of Medicine/Public Health
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17
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Stapp EK, Fullerton JM, Musci RJ, Zandi PP, McInnis MG, Mitchell PB, Hulvershorn LA, Ghaziuddin N, Roberts G, Ferrera AG, Nurnberger JI, Wilcox HC. Family environment and polygenic risk in the bipolar high-risk context. JCPP ADVANCES 2023; 3:e12143. [PMID: 37378048 PMCID: PMC10292829 DOI: 10.1002/jcv2.12143] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 01/10/2023] [Indexed: 09/27/2023] Open
Abstract
Background The interaction of polygenic risk (PRS) and environmental effects on development of bipolar disorder (BD) is understudied, as are high-risk offspring perceptions of their family environment (FE). We tested the association of offspring-perceived FE in interaction with BD-PRS on liability for BD in offspring at high or low familial risk for BD. Methods Offspring of a parent with BD (oBD; n = 266) or no psychiatric disorders (n = 174), aged 12-21 at recruitment, participated in the US and Australia. Empirically-derived profiles of FE classified offspring by their perceived levels of familial cohesion, flexibility, and conflict. Offspring BD-PRS were derived from Psychiatric Genomics Consortium BD-GWAS. Lifetime DSM-IV bipolar disorders were derived from the Schedule for Affective Disorders and Schizophrenia for School-Aged Children. We used a novel stepwise approach for latent class modeling with predictors and distal outcomes. Results Fifty-two offspring were diagnosed with BD. For those with well-functioning FE (two-thirds of the sample), higher BD-PRS tracked positively with liability for BD. However, for those with high-conflict FEs, the relationship between BD-PRS and liability to BD was negative, with highest risk for BD observed with lower BD-PRS. In exploratory analyses, European-ancestry offspring with BD had elevated history of suicidal ideation in high-conflict FE compared to well-functioning-FE, and of suicide attempt with low-BD-PRS and high-conflict FE. Conclusions The data suggest that the relationship of BD-PRS and offspring liability for BD differed between well-functioning versus high-conflict FE, potentially in line with a multifactorial liability threshold model and supporting future study of and interventions improving family dynamics.
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Affiliation(s)
- Emma K. Stapp
- Department of Mental HealthJohns Hopkins Bloomberg School of Public HealthBaltimoreMarylandUSA
- Genetic Epidemiology BranchNational Institute of Mental HealthBethesdaMarylandUSA
| | - Janice M. Fullerton
- Neuroscience Research AustraliaRandwickNew South WalesAustralia
- School of Medical SciencesUniversity of New South WalesSydneyNew South WalesAustralia
| | - Rashelle J. Musci
- Department of Mental HealthJohns Hopkins Bloomberg School of Public HealthBaltimoreMarylandUSA
| | - Peter P. Zandi
- Department of Mental HealthJohns Hopkins Bloomberg School of Public HealthBaltimoreMarylandUSA
| | | | - Philip B. Mitchell
- School of PsychiatryUniversity of New South WalesSydneyNew South WalesAustralia
| | | | - Neera Ghaziuddin
- Department of PsychiatryUniversity of MichiganAnn ArborMichiganUSA
| | - Gloria Roberts
- School of PsychiatryUniversity of New South WalesSydneyNew South WalesAustralia
| | | | - John I. Nurnberger
- Department of PsychiatryIndiana University School of MedicineIndianapolisIndianaUSA
- Department of Medical and Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
- Stark Neurosciences Research InstituteIndiana University School of MedicineIndianapolisIndianaUSA
| | - Holly C. Wilcox
- Department of Mental HealthJohns Hopkins Bloomberg School of Public HealthBaltimoreMarylandUSA
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18
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Flint J. The genetic basis of major depressive disorder. Mol Psychiatry 2023; 28:2254-2265. [PMID: 36702864 PMCID: PMC10611584 DOI: 10.1038/s41380-023-01957-9] [Citation(s) in RCA: 28] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Revised: 12/30/2022] [Accepted: 01/11/2023] [Indexed: 01/27/2023]
Abstract
The genetic dissection of major depressive disorder (MDD) ranks as one of the success stories of psychiatric genetics, with genome-wide association studies (GWAS) identifying 178 genetic risk loci and proposing more than 200 candidate genes. However, the GWAS results derive from the analysis of cohorts in which most cases are diagnosed by minimal phenotyping, a method that has low specificity. I review data indicating that there is a large genetic component unique to MDD that remains inaccessible to minimal phenotyping strategies and that the majority of genetic risk loci identified with minimal phenotyping approaches are unlikely to be MDD risk loci. I show that inventive uses of biobank data, novel imputation methods, combined with more interviewer diagnosed cases, can identify loci that contribute to the episodic severe shifts of mood, and neurovegetative and cognitive changes that are central to MDD. Furthermore, new theories about the nature and causes of MDD, drawing upon advances in neuroscience and psychology, can provide handles on how best to interpret and exploit genetic mapping results.
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Affiliation(s)
- Jonathan Flint
- Department of Psychiatry and Biobehavioral Sciences, Billy and Audrey Wilder Endowed Chair in Psychiatry and Neuroscience, Center for Neurobehavioral Genetics, 695 Charles E. Young Drive South, 3357B Gonda, Box 951761, Los Angeles, CA, 90095-1761, USA.
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19
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McGeary JE, Benca-Bachman CE, Risner VA, Beevers CG, Gibb BE, Palmer RHC. Associating broad and clinically defined polygenic scores for depression with depression-related phenotypes. Sci Rep 2023; 13:6534. [PMID: 37085695 PMCID: PMC10121555 DOI: 10.1038/s41598-023-33645-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 04/16/2023] [Indexed: 04/23/2023] Open
Abstract
Twin studies indicate that 30-40% of the disease liability for depression can be attributed to genetic differences. Here, we assess the explanatory ability of polygenic scores (PGS) based on broad- (PGSBD) and clinical- (PGSMDD) depression summary statistics from the UK Biobank in an independent sample of adults (N = 210; 100% European Ancestry) who were extensively phenotyped for depression and related neurocognitive traits (e.g., rumination, emotion regulation, anhedonia, and resting frontal alpha asymmetry). The UK Biobank-derived PGSBD had small associations with MDD, depression severity, anhedonia, cognitive reappraisal, brooding, and suicidal ideation but only the association with suicidal ideation remained statistically significant after correcting for multiple comparisons. Similarly small associations were observed for the PGSMDD but none remained significant after correcting for multiple comparisons. These findings provide important initial guidance about the expected effect sizes between current UKB PGSs for depression and depression-related neurocognitive phenotypes.
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Affiliation(s)
- John E McGeary
- Providence Veterans Affairs Medical Center, Providence, RI, USA
| | - Chelsie E Benca-Bachman
- Providence Veterans Affairs Medical Center, Providence, RI, USA.
- Behavioral Genetics of Addiction Laboratory, Department of Psychology, Emory University, 36 Eagle Row, Atlanta, GA, 30322, USA.
| | - Victoria A Risner
- Behavioral Genetics of Addiction Laboratory, Department of Psychology, Emory University, 36 Eagle Row, Atlanta, GA, 30322, USA
| | | | - Brandon E Gibb
- Department of Psychology State, University of New York at Binghamton, Binghamton, NY, USA
| | - Rohan H C Palmer
- Providence Veterans Affairs Medical Center, Providence, RI, USA
- Behavioral Genetics of Addiction Laboratory, Department of Psychology, Emory University, 36 Eagle Row, Atlanta, GA, 30322, USA
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20
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Aas M, Alameda L, Di Forti M, Quattrone D, Dazzan P, Trotta A, Ferraro L, Rodriguez V, Vassos E, Sham P, Tripoli G, Cascia CL, Barbera DL, Tarricone I, Muratori R, Berardi D, Lasalvia A, Tosato S, Szöke A, Llorca PM, Arango C, Tortelli A, de Haan L, Velthorst E, Bobes J, Bernardo M, Sanjuán J, Santos JL, Arrojo M, Del-Ben CM, Menezes PR, Selten JP, Jones PB, Jongsma HE, Kirkbride JB, Rutten BPF, van Os J, Gayer-Anderson C, Murray RM, Morgan C. Synergistic effects of childhood adversity and polygenic risk in first-episode psychosis: the EU-GEI study. Psychol Med 2023; 53:1970-1978. [PMID: 37310339 PMCID: PMC10106300 DOI: 10.1017/s0033291721003664] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 08/08/2021] [Accepted: 08/18/2021] [Indexed: 01/01/2023]
Abstract
BACKGROUND A history of childhood adversity is associated with psychotic disorder, with an increase in risk according to the number of exposures. However, it is not known why only some exposed individuals go on to develop psychosis. One possibility is pre-existing polygenic vulnerability. Here, we investigated, in the largest sample of first-episode psychosis (FEP) cases to date, whether childhood adversity and high polygenic risk scores for schizophrenia (SZ-PRS) combine synergistically to increase the risk of psychosis, over and above the effect of each alone. METHODS We assigned a schizophrenia-polygenic risk score (SZ-PRS), calculated from the Psychiatric Genomics Consortium (PGC2), to all participants in a sample of 384 FEP patients and 690 controls from the case-control component of the EU-GEI study. Only participants of European ancestry were included in the study. A history of childhood adversity was collected using the Childhood Trauma Questionnaire (CTQ). Synergistic effects were estimated using the interaction contrast ratio (ICR) [odds ratio (OR)exposure and PRS - ORexposure - ORPRS + 1] with adjustment for potential confounders. RESULTS There was some evidence that the combined effect of childhood adversities and polygenic risk was greater than the sum of each alone, as indicated by an ICR greater than zero [i.e. ICR 1.28, 95% confidence interval (CI) -1.29 to 3.85]. Examining subtypes of childhood adversities, the strongest synergetic effect was observed for physical abuse (ICR 6.25, 95% CI -6.25 to 20.88). CONCLUSIONS Our findings suggest possible synergistic effects of genetic liability and childhood adversity experiences in the onset of FEP, but larger samples are needed to increase precision of estimates.
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Affiliation(s)
- Monica Aas
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London SE5 8AF, UK
- Norment, Oslo University Hospital, Oslo, Norway
| | - Luis Alameda
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London SE5 8AF, UK
- Service of General Psychiatry, Treatment and Early Intervention in Psychosis Program, Lausanne University Hospital (CHUV), Lausanne, Switzerland
- Instituto de Investigación Biomédica de Sevilla, Universidad de Sevilla, Seville, Spain
- Department of Psychiatry, Hospital Universitario Virgen del Rocío, Universidad de Sevilla, Sevilla, Spain
| | - Marta Di Forti
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AE, UK
| | - Diego Quattrone
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AE, UK
| | - Paola Dazzan
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London SE5 8AF, UK
| | - Antonella Trotta
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London SE5 8AF, UK
| | - Laura Ferraro
- Biomedicine, Neuroscience and Advanced Diagnostic (BiND) Department, University of Palermo, Palermo, Italy
| | - Victoria Rodriguez
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London SE5 8AF, UK
| | - Evangelos Vassos
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AE, UK
| | - Pak Sham
- Department of Psychiatry, University of Hong Kong, Pok Fu Lam, Hong Kong
| | - Giada Tripoli
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London SE5 8AF, UK
- Biomedicine, Neuroscience and Advanced Diagnostic (BiND) Department, University of Palermo, Palermo, Italy
| | - Caterina La Cascia
- Biomedicine, Neuroscience and Advanced Diagnostic (BiND) Department, University of Palermo, Palermo, Italy
| | - Daniele La Barbera
- Biomedicine, Neuroscience and Advanced Diagnostic (BiND) Department, University of Palermo, Palermo, Italy
| | - Ilaria Tarricone
- Department of Medical and Surgical Science, Psychiatry Unit, Alma Mater Studiorum Università di Bologna, 40126 Bologna, Italy
| | - Roberto Muratori
- Department of Mental Health and Pathological Addiction, Bologna Local Health Authority, Bologna, Italy
| | - Domenico Berardi
- Department of Biomedical and Neuro-motor Sciences, Psychiatry Unit, Alma Mater Studiorum Università di Bologna, 40126 Bologna, Italy
| | - Antonio Lasalvia
- Section of Psychiatry, Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Piazzale L.A. Scuro 10, 37134 Verona, Italy
| | - Sarah Tosato
- Section of Psychiatry, Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Piazzale L.A. Scuro 10, 37134 Verona, Italy
| | - Andrei Szöke
- INSERM U955, Equipe 15, Institut National de la Santé et de la Recherche Médicale, 94010 Créteil, France
| | - Pierre-Michel Llorca
- CMPB CHU Clermont-Ferrand, EA 7280, University Clermont Auvergne, Clermont-Ferrand, France
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM (CIBERSAM), 28007 Madrid, Spain
| | - Andrea Tortelli
- Etablissement Public de Santé Maison Blanche, 75020 Paris, France
| | - Lieuwe de Haan
- Department of Psychiatry, Early Psychosis Section, Amsterdam UMC, Location: Academic Medical Centre, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands
| | - Eva Velthorst
- Department of Psychiatry, Early Psychosis Section, Amsterdam UMC, Location: Academic Medical Centre, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands
- Department of Psychiatry, Icahn School of Medicine, Mount Sinai, NY, USA
| | - Julio Bobes
- Faculty of Medicine and Health Sciences – Psychiatry, Universidad de Oviedo, ISPA, INEUROPA, CIBERSAM, 33006 Oviedo, Spain
| | - Miguel Bernardo
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, University of Barcelona; IDIBAPS, CIBERSAM, 08036 Barcelona, Spain
| | - Julio Sanjuán
- Department of Psychiatry, School of Medicine, Universidad de Valencia, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), 46010 Valencia, Spain
| | - Jose Luis Santos
- Department of Psychiatry, Servicio de Psiquiatría Hospital ‘Virgen de la Luz’, 16002 Cuenca, Spain
| | - Manuel Arrojo
- Department of Psychiatry, Psychiatry Genetic Group, Instituto de Investigación Sanitaria de Santiago de Compostela, Complejo Hospitalario Universitario de Santiago de Compostela, 15706 Santiago de Compostela, Spain
| | - Cristina Marta Del-Ben
- Division of Psychiatry, Department of Neuroscience and Behaviour, Ribeirão Preto Medical School, University of São Paulo, São Paulo 14049-900, Brazil
| | - Paulo Rossi Menezes
- Department of Preventative Medicine, Faculdade de Medicina FMUSP, University of São Paulo, São Paulo 01246-903, Brazil
| | - Jean-Paul Selten
- Rivierduinen Institute for Mental Health Care, 2333 ZZ Leiden, The Netherlands
| | - Peter B. Jones
- Department of Psychiatry, University of Cambridge, Cambridge CB2 0SZ, UK
| | - Hannah E. Jongsma
- Psylife Group, Division of Psychiatry, University College London, London W1T 7NF, UK
| | - James B. Kirkbride
- Psylife Group, Division of Psychiatry, University College London, London W1T 7NF, UK
| | - Bart P. F. Rutten
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, South Limburg Mental Health Research and Teaching Network, Maastricht University Medical Centre, 6200 MD Maastricht, The Netherlands
| | - Jim van Os
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London SE5 8AF, UK
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, South Limburg Mental Health Research and Teaching Network, Maastricht University Medical Centre, 6200 MD Maastricht, The Netherlands
| | - Charlotte Gayer-Anderson
- Health Service and Population Research, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London SE5 8AF, UK
| | - Robin M. Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London SE5 8AF, UK
| | - Craig Morgan
- Health Service and Population Research, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London SE5 8AF, UK
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Associations of stressful life events with subthreshold depressive symptoms and major depressive disorder: The moderating role of gender. J Affect Disord 2023; 325:588-595. [PMID: 36657495 DOI: 10.1016/j.jad.2023.01.050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 12/27/2022] [Accepted: 01/11/2023] [Indexed: 01/18/2023]
Abstract
BACKGROUND Stressful life events (SLEs) are high-risk factors for subthreshold depressive symptoms (SDS) and major depressive disorder (MDD). This study sought to assess the association of SLEs with SDS and MDD, with a focus on gender effects. METHODS A total of 4132 participants were recruited from 34 primary health care settings. The Stressful Life Events Screening Questionnaire (SLESQ) was used to measure SLEs that participants had experienced in the past time. The Patient Health Questionnaire 9 (PHQ-9) was used to assess SDS, and the Mini-International Neuropsychiatry Interview (MINI) depression module was used to assess the diagnosis of MDD by trained psychiatrists. RESULTS In our sample (N = 4132), exposure to any SLEs was more common in individuals with SDS and MDD than in non-depressed population, and the proportion of emotional abuse was relatively high (SDS: 10.6 %; MDD: 33.9 %). After adjusting for control variables, people who experienced SLEs were at a higher risk of SDS and MDD. For males, those experiencing only one event were not at a higher risk of SDS (P = 0.061). For individuals who had experienced multiple SLEs, the association between SLEs and SDS was stronger in females than males. However, the association between SLEs and MDD was stronger in males than females. LIMITATIONS The cross-sectional study design and self-reported SLEs. CONCLUSIONS SLEs were associated with the increased risks of SDS and MDD. The associations of SLEs with SDS were more robust for females than males. In contrast, the association between SLEs and MDD was stronger in males than females.
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22
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Iob E, Ajnakina O, Steptoe A. The interactive association of adverse childhood experiences and polygenic susceptibility with depressive symptoms and chronic inflammation in older adults: a prospective cohort study. Psychol Med 2023; 53:1426-1436. [PMID: 37010219 DOI: 10.1017/s0033291721003007] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Adverse childhood experiences (ACEs) and genetic liability are important risk factors for depression and inflammation. However, little is known about the gene-environment (G × E) mechanisms underlying their aetiology. For the first time, we tested the independent and interactive associations of ACEs and polygenic scores of major depressive disorder (MDD-PGS) and C-reactive protein (CRP-PGS) with longitudinal trajectories of depression and chronic inflammation in older adults. METHODS Data were drawn from the English longitudinal study of ageing (N~3400). Retrospective information on ACEs was collected in wave3 (2006/07). We calculated a cumulative risk score of ACEs and also assessed distinct dimensions separately. Depressive symptoms were ascertained on eight occasions, from wave1 (2002/03) to wave8 (2016/17). CRP was measured in wave2 (2004/05), wave4 (2008/09), and wave6 (2012/13). The associations of the risk factors with group-based depressive-symptom trajectories and repeated exposure to high CRP (i.e. ⩾3 mg/L) were tested using multinomial and ordinal logistic regression. RESULTS All types of ACEs were independently associated with high depressive-symptom trajectories (OR 1.44, 95% CI 1.30-1.60) and inflammation (OR 1.08, 95% CI 1.07-1.09). The risk of high depressive-symptom trajectories (OR 1.47, 95% CI 1.28-1.70) and inflammation (OR 1.03, 95% CI 1.01-1.04) was also higher for participants with higher MDD-PGS. G×E analyses revealed that the associations between ACEs and depressive symptoms were larger among participants with higher MDD-PGS (OR 1.13, 95% CI 1.04-1.23). ACEs were also more strongly related to inflammation in participants with higher CRP-PGS (OR 1.02, 95% CI 1.01-1.03). CONCLUSIONS ACEs and polygenic susceptibility were independently and interactively associated with elevated depressive symptoms and chronic inflammation, highlighting the clinical importance of assessing both ACEs and genetic risk factors to design more targeted interventions.
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Affiliation(s)
- Eleonora Iob
- Research Department of Behavioural Science and Health, Institute of Epidemiology and Healthcare, University College London, London, UK
| | - Olesya Ajnakina
- Research Department of Behavioural Science and Health, Institute of Epidemiology and Healthcare, University College London, London, UK
- Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Andrew Steptoe
- Research Department of Behavioural Science and Health, Institute of Epidemiology and Healthcare, University College London, London, UK
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23
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Thorp JG, Gerring ZF, Colodro-Conde L, Byrne EM, Medland SE, Middeldorp CM, Derks EM. The association between trauma exposure, polygenic risk and individual depression symptoms. Psychiatry Res 2023; 321:115101. [PMID: 36774750 PMCID: PMC9977888 DOI: 10.1016/j.psychres.2023.115101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 01/11/2023] [Accepted: 02/06/2023] [Indexed: 02/11/2023]
Abstract
BACKGROUND Traumatic experiences are associated with increased risk for major depressive disorder (MDD). This study sought to determine the extent that trauma exposure, depression polygenic risk scores (PRS), and their interaction are associated with MDD and individual depression symptoms. METHODS Data from 102,182 individuals from the large-scale UK Biobank population cohort was analysed. A series of regression analyses were conducted to estimate the association between trauma, depression PRS and 1) current depression, 2) lifetime MDD case-control status, 3) nine individual current depressive symptoms, and 4) thirteen individual symptoms experienced during a major depressive episode. Additive and multiplicative PRS-by-trauma interactions were also assessed. RESULTS Trauma and depression PRS were significantly associated with both current depression and lifetime MDD. A positive, additive interaction effect was observed on depression, but multiplicative interactions were not significant. Trauma exposure and depression PRS were associated with specific patterns of depression symptoms; Trauma was associated with low self-esteem, suicidal ideation, and atypical (but not typical) neurovegetative symptoms. Additive interaction effects were observed on six out of nine current depressive symptoms. CONCLUSIONS Trauma exposure and genetic predisposition to depression may lead to particular symptomatology, which may contribute to the extreme clinical heterogeneity observed in individuals with major depression.
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Affiliation(s)
- Jackson G Thorp
- Translational Neurogenomics, QIMR Berghofer Medical Research Institute, Brisbane, Australia; Faculty of Medicine, University of Queensland, Brisbane, Australia.
| | - Zachary F Gerring
- Translational Neurogenomics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Lucía Colodro-Conde
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Enda M Byrne
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia; Child Health Research Centre, University of Queensland, Brisbane, Australia
| | - Sarah E Medland
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Christel M Middeldorp
- Child Health Research Centre, University of Queensland, Brisbane, Australia; Child and Youth Mental Health Service, Children's Health Queensland Hospital and Health Service, Brisbane, Australia
| | - Eske M Derks
- Translational Neurogenomics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
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24
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Silveira PP, Meaney MJ. Examining the biological mechanisms of human mental disorders resulting from gene-environment interdependence using novel functional genomic approaches. Neurobiol Dis 2023; 178:106008. [PMID: 36690304 DOI: 10.1016/j.nbd.2023.106008] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 12/30/2022] [Accepted: 01/18/2023] [Indexed: 01/21/2023] Open
Abstract
We explore how functional genomics approaches that integrate datasets from human and non-human model systems can improve our understanding of the effect of gene-environment interplay on the risk for mental disorders. We start by briefly defining the G-E paradigm and its challenges and then discuss the different levels of regulation of gene expression and the corresponding data existing in humans (genome wide genotyping, transcriptomics, DNA methylation, chromatin modifications, chromosome conformational changes, non-coding RNAs, proteomics and metabolomics), discussing novel approaches to the application of these data in the study of the origins of mental health. Finally, we discuss the multilevel integration of diverse types of data. Advance in the use of functional genomics in the context of a G-E perspective improves the detection of vulnerabilities, informing the development of preventive and therapeutic interventions.
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Affiliation(s)
- Patrícia Pelufo Silveira
- Department of Psychiatry, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada; Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada.
| | - Michael J Meaney
- Department of Psychiatry, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada; Translational Neuroscience Program, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (ASTAR), Singapore; Brain - Body Initiative, Agency for Science, Technology and Research (ASTAR), Singapore.
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25
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Lea AJ, Clark AG, Dahl AW, Devinsky O, Garcia AR, Golden CD, Kamau J, Kraft TS, Lim YAL, Martins D, Mogoi D, Pajukanta P, Perry G, Pontzer H, Trumble BC, Urlacher SS, Venkataraman VV, Wallace IJ, Gurven M, Lieberman D, Ayroles JF. Evolutionary mismatch and the role of GxE interactions in human disease. ARXIV 2023:arXiv:2301.05255v2. [PMID: 36713247 PMCID: PMC9882586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Globally, we are witnessing the rise of complex, non-communicable diseases (NCDs) related to changes in our daily environments. Obesity, asthma, cardiovascular disease, and type 2 diabetes are part of a long list of "lifestyle" diseases that were rare throughout human history but are now common. A key idea from anthropology and evolutionary biology-the evolutionary mismatch hypothesis-seeks to explain this phenomenon. It posits that humans evolved in environments that radically differ from the ones experienced by most people today, and thus traits that were advantageous in past environments may now be "mismatched" and disease-causing. This hypothesis is, at its core, a genetic one: it predicts that loci with a history of selection will exhibit "genotype by environment" (GxE) interactions and have differential health effects in ancestral versus modern environments. Here, we discuss how this concept could be leveraged to uncover the genetic architecture of NCDs in a principled way. Specifically, we advocate for partnering with small-scale, subsistence-level groups that are currently transitioning from environments that are arguably more "matched" with their recent evolutionary history to those that are more "mismatched". These populations provide diverse genetic backgrounds as well as the needed levels and types of environmental variation necessary for mapping GxE interactions in an explicit mismatch framework. Such work would make important contributions to our understanding of environmental and genetic risk factors for NCDs across diverse ancestries and sociocultural contexts.
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Affiliation(s)
- Amanda J. Lea
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, USA
- Child and Brain Development, Canadian Institute for Advanced Research, Toronto, Canada
| | - Andrew G. Clark
- Department of Computational Biology, Cornell University, Ithaca, NY, USA
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, USA
| | - Andrew W. Dahl
- Section of Genetic Medicine, University of Chicago, Chicago, IL, USA
| | - Orrin Devinsky
- Department of Neurology, NYU Langone Medical Center, New York, NY, USA
- Comprehensive Epilepsy Center, NYU Langone Medical Center, New York, NY, USA
| | - Angela R. Garcia
- Center for Evolution and Medicine, Arizona State University, Tempe, United States
| | | | - Joseph Kamau
- Department of Biochemistry, School of Medicine, University of Nairobi, Nairobi, Kenya
- Institute of Primate Research, National Museums of Kenya, Nairobi, Kenya
| | - Thomas S. Kraft
- Department of Anthropology, University of Utah, Salt Lake City, USA
| | - Yvonne A. L. Lim
- Department of Parasitology, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Dino Martins
- Turkana Basin Research Institute, Turkana, Kenya
- Department of Ecology and Evolution, Princeton University, Princeton, NJ, USA
| | - Donald Mogoi
- Director at County Government of Laikipia, Nanyuki, Kenya
| | - Paivi Pajukanta
- Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
- Institute for Precision Health, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - George Perry
- Department of Anthropology, Pennsylvania State University, University Park, PA, USA
- Department of Biology, Pennsylvania State University, University Park, PA, USA
- Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA, USA
| | - Herman Pontzer
- Evolutionary Anthropology, Duke University, Durham, NC, USA
- Duke Global Health Institute, Duke University, Durham, NC, USA
| | - Benjamin C. Trumble
- School of Human Evolution and Social Change, Arizona State University, Tempe, US
- Center for Evolution and Medicine, Arizona State University, Tempe, United States
| | - Samuel S. Urlacher
- Department of Anthropology, Baylor University, Waco, TX, USA
- Child and Brain Development, Canadian Institute for Advanced Research, Toronto, Canada
| | | | - Ian J. Wallace
- Department of Anthropology, University of New Mexico, Albuquerque, USA
| | - Michael Gurven
- Department of Anthropology, University of California: Santa Barbara, Santa Barbara, CA, USA
| | - Daniel Lieberman
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Julien F. Ayroles
- Department of Ecology and Evolution, Princeton University, Princeton, NJ, USA
- Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
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Impact of traumatic life events and polygenic risk scores for major depression and posttraumatic stress disorder on Iraq/Afghanistan Veterans. J Psychiatr Res 2023; 158:15-19. [PMID: 36542982 DOI: 10.1016/j.jpsychires.2022.12.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 10/29/2022] [Accepted: 12/10/2022] [Indexed: 12/23/2022]
Abstract
Traumatic experiences and genetic heritability are among the most widely acknowledged risk factors leading to the development of psychopathology; including posttraumatic stress disorder (PTSD) and major depressive disorder (MDD). The purpose of this study was to investigate if polygenic risk scores (PRS) among Veterans interacted with traumatic stress to predict PTSD and MDD. 1,389 Iraq-Afghanistan military service Veterans from the Mental Illness Research Education and Clinical Center dataset were analyzed. Genome-wide association study (GWAS) statistics were utilized to generate PRS for PTSD (PRSPTSD) and PRS for MDD (PRSMDD) in order to analyze PRS-by-environment (PRSxE) with trauma exposure to predict PTSD and MDD diagnoses. Trauma exposure and PRSPTSD, were independently associated with a current PTSD diagnosis (p < 0.001 and p < 0.001, respectively). The interaction between trauma exposure and PRSMDD to predict a current diagnosis of PTSD trended towards significance (p = 0.053). Stratifying by trauma thresholds, among those within the lowest trauma load, the association of PRSMDD with PTSD was found to be nominally significant (p = 0.03). For a MDD diagnosis, there was a significant association with trauma exposure (p < 0.001); and the association with PRSMDD was found to be nominally significant (p = 0.03). No significant PRSxE effects were found with MDD. Our findings corroborate previous research highlighting trauma exposure, and genetic heritability, as risk factors for the development of PTSD and MDD in a Veteran population. Additionally, findings suggest that genetic vulnerability may be less important as trauma exposure increases, with high levels of trauma likely to result in PTSD and MDD, regardless of genetic vulnerability.
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27
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Musliner KL, Andersen KK, Agerbo E, Albiñana C, Vilhjalmsson BJ, Rajagopal VM, Bybjerg-Grauholm J, Bækved-Hansen M, Pedersen CB, Pedersen MG, Munk-Olsen T, Benros ME, Als TD, Grove J, Werge T, Børglum AD, Hougaard DM, Mors O, Nordentoft M, Mortensen PB, Suppli NP. Polygenic liability, stressful life events and risk for secondary-treated depression in early life: a nationwide register-based case-cohort study. Psychol Med 2023; 53:217-226. [PMID: 33949298 DOI: 10.1017/s0033291721001410] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND In this study, we examined the relationship between polygenic liability for depression and number of stressful life events (SLEs) as risk factors for early-onset depression treated in inpatient, outpatient or emergency room settings at psychiatric hospitals in Denmark. METHODS Data were drawn from the iPSYCH2012 case-cohort sample, a population-based sample of individuals born in Denmark between 1981 and 2005. The sample included 18 532 individuals who were diagnosed with depression by a psychiatrist by age 31 years, and a comparison group of 20 184 individuals. Information on SLEs was obtained from nationwide registers and operationalized as a time-varying count variable. Hazard ratios and cumulative incidence rates were estimated using Cox regressions. RESULTS Risk for depression increased by 35% with each standard deviation increase in polygenic liability (p < 0.0001), and 36% (p < 0.0001) with each additional SLE. There was a small interaction between polygenic liability and SLEs (β = -0.04, p = 0.0009). The probability of being diagnosed with depression in a hospital-based setting between ages 15 and 31 years ranged from 1.5% among males in the lowest quartile of polygenic liability with 0 events by age 15, to 18.8% among females in the highest quartile of polygenic liability with 4+ events by age 15. CONCLUSIONS These findings suggest that although there is minimal interaction between polygenic liability and SLEs as risk factors for hospital-treated depression, combining information on these two important risk factors could potentially be useful for identifying high-risk individuals.
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Affiliation(s)
- Katherine L Musliner
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- National Center for Register-based Research, Department of Economics, Aarhus University, Aarhus, Denmark
| | - Klaus K Andersen
- Unit for Statistics and Pharmacoepidemiology (SPE), Danish Cancer Society Research Center (DCRC), Copenhagen, Denmark
| | - Esben Agerbo
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- National Center for Register-based Research, Department of Economics, Aarhus University, Aarhus, Denmark
- The Center for Integrated Register-based Research at Aarhus University (CIRRAU), Aarhus, Denmark
| | - Clara Albiñana
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- National Center for Register-based Research, Department of Economics, Aarhus University, Aarhus, Denmark
| | - Bjarni J Vilhjalmsson
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- National Center for Register-based Research, Department of Economics, Aarhus University, Aarhus, Denmark
- Bioinformatics Research Centre (BiRC), Aarhus University, Aarhus, Denmark
| | - Veera M Rajagopal
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- Center for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
- Center for Genome Analysis and Personalized Medicine, Aarhus, Denmark
| | - Jonas Bybjerg-Grauholm
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Department for Congenital Disorders, Statens Serum Institute, Copenhagen, Denmark
| | - Marie Bækved-Hansen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Department for Congenital Disorders, Statens Serum Institute, Copenhagen, Denmark
| | - Carsten B Pedersen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- National Center for Register-based Research, Department of Economics, Aarhus University, Aarhus, Denmark
- The Center for Integrated Register-based Research at Aarhus University (CIRRAU), Aarhus, Denmark
| | - Marianne G Pedersen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- National Center for Register-based Research, Department of Economics, Aarhus University, Aarhus, Denmark
- The Center for Integrated Register-based Research at Aarhus University (CIRRAU), Aarhus, Denmark
| | - Trine Munk-Olsen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- National Center for Register-based Research, Department of Economics, Aarhus University, Aarhus, Denmark
| | - Michael E Benros
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Mental Health Center Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark
| | - Thomas D Als
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Jakob Grove
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Bioinformatics Research Centre (BiRC), Aarhus University, Aarhus, Denmark
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- Center for Genome Analysis and Personalized Medicine, Aarhus, Denmark
| | - Thomas Werge
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Institute of Biological Psychiatry, Copenhagen Mental Health Services, Copenhagen, Denmark
| | - Anders D Børglum
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- Center for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
| | - David M Hougaard
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Department for Congenital Disorders, Statens Serum Institute, Copenhagen, Denmark
| | - Ole Mors
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Psychosis Research Unit, Aarhus University Hospital-Psychiatry, Aarhus, Denmark
| | - Merete Nordentoft
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Mental Health Center Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark
| | - Preben B Mortensen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- National Center for Register-based Research, Department of Economics, Aarhus University, Aarhus, Denmark
- The Center for Integrated Register-based Research at Aarhus University (CIRRAU), Aarhus, Denmark
| | - Nis P Suppli
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Mental Health Center Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark
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28
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Relationship between adverse childhood experiences and symptom severity in adult men with Tourette Syndrome. J Psychiatr Res 2022; 155:252-259. [PMID: 36113395 DOI: 10.1016/j.jpsychires.2022.08.024] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Revised: 08/22/2022] [Accepted: 08/22/2022] [Indexed: 11/22/2022]
Abstract
Childhood adversity is associated with the development or expression of many neuropsychiatric disorders, including those with strong genetic underpinnings. Despite reported associations between perceived stress and tic severity, the relationship between potentially traumatic events in childhood and Tourette Syndrome (TS), a highly heritable neuropsychiatric disorder, is unknown. This study aimed to assess whether exposure to eight categories of adverse childhood experiences (ACEs) is associated with TS severity and impairment, and whether TS genetic risk modifies this association. Online survey data were collected from 351 adult males with TS who previously participated in genetic studies. Participants completed the ACE questionnaire and a lifetime version of the Yale Global Tic Severity Scale (YGTSS). Demographic and relevant health data were assessed; polygenic risk scores (PRS) measuring aggregated TS genetic risk were derived using genome-wide association data. Univariable and multivariable linear regressions examined the relationships between childhood adversity and retrospectively recalled worst-ever tic severity and impairment, adjusting for covariates. Potential gene-by-environment (GxE) interactions between ACE and PRS were estimated. After covariate adjustment, there was a significant graded dose-response relationship between ACE Scores and increases in lifetime worst-ever tic severity and impairment. There was some evidence that TS genetic risk moderated the relationship between ACE Score and tic impairment, but not tic severity, particularly for individuals with higher TS polygenic risk. We provide evidence that childhood adversity is associated with higher lifetime TS severity and impairment, although future longitudinal studies with genetically-sensitive designs are needed to determine whether these relationships are causal and/or directional.
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29
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Chuong M, Adams MJ, Kwong ASF, Haley CS, Amador C, McIntosh AM. Genome-by-Trauma Exposure Interactions in Adults With Depression in the UK Biobank. JAMA Psychiatry 2022; 79:1110-1117. [PMID: 36169986 PMCID: PMC9520433 DOI: 10.1001/jamapsychiatry.2022.2983] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Importance Self-reported trauma exposure has consistently been found to be a risk factor for major depressive disorder (MDD), and several studies have reported interactions with genetic liability. To date, most studies have examined gene-environment interactions with trauma exposure using genome-wide variants (single-nucleotide variations [SNVs]) or polygenic scores, both typically capturing less than 3% of phenotypic risk variance. Objective To reexamine genome-by-trauma interaction associations using genetic measures using all available genotyped data and thus, maximizing accounted variance. Design, Setting, and Participants The UK Biobank study was conducted from April 2007 to May 1, 2016 (follow-up mental health questionnaire). The current study used available cross-sectional genomic and trauma exposure data from UK Biobank. Participants who completed the mental health questionnaire and had available genetic, trauma experience, depressive symptoms, and/or neuroticism information were included. Data were analyzed from April 1 to August 30, 2021. Exposures Trauma and genome-by-trauma exposure interactions. Main Outcomes and Measures Measures of self-reported depression, neuroticism, and trauma exposure with whole-genome SNV data are available from the UK Biobank study. Here, a mixed-model statistical approach using genetic, trauma exposure, and genome-by-trauma exposure interaction similarity matrices was used to explore sources of variation in depression and neuroticism. Results Analyses were conducted on 148 129 participants (mean [SD] age, 56 [7] years) of which 76 995 were female (52.0%). The study approach estimated the heritability (SE) of MDD to be approximately 0.160 (0.016). Subtypes of self-reported trauma exposure (catastrophic, adult, childhood, and full trauma) accounted for a significant proportion of the variance of MDD, with heritability (SE) ranging from 0.056 (0.013) to 0.176 (0.025). The proportion of MDD risk variance accounted for by significant genome-by-trauma interaction revealed estimates (SD) ranging from 0.074 (0.006) to 0.201 (0.009). Results from sex-specific analyses found genome-by-trauma interaction variance estimates approximately 5-fold greater for MDD in male participants (0.441 [0.018]) than in female participants (0.086 [0.009]). Conclusions and Relevance This cross-sectional study used an approach combining all genome-wide SNV data when exploring genome-by-trauma interactions in individuals with MDD; findings suggest that such interactions were associated with depression manifestation. Genome-by-trauma interaction accounts for greater trait variance in male individuals, which points to potential differences in depression etiology between the sexes. The methodology used in this study can be extrapolated to other environmental factors to identify modifiable risk environments and at-risk groups to target with interventions.
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Affiliation(s)
- Melisa Chuong
- Institute of Genetics & Cancer, University of Edinburgh, Edinburgh, United Kingdom.,Department of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - Mark J Adams
- Department of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - Alex S F Kwong
- Department of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - Chris S Haley
- Institute of Genetics & Cancer, University of Edinburgh, Edinburgh, United Kingdom
| | - Carmen Amador
- Institute of Genetics & Cancer, University of Edinburgh, Edinburgh, United Kingdom
| | - Andrew M McIntosh
- Department of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
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30
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Plomin R, Gidziela A, Malanchini M, von Stumm S. Gene-environment interaction using polygenic scores: Do polygenic scores for psychopathology moderate predictions from environmental risk to behavior problems? Dev Psychopathol 2022; 34:1-11. [PMID: 36148872 PMCID: PMC7613991 DOI: 10.1017/s0954579422000931] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
The DNA revolution has energized research on interactions between genes and environments (GxE) by creating indices of G (polygenic scores) that are powerful predictors of behavioral traits. Here, we test the extent to which polygenic scores for attention-deficit/hyperactivity disorder and neuroticism moderate associations between parent reports of their children's environmental risk (E) at ages 3 and 4 and teacher ratings of behavior problems (hyperactivity/inattention, conduct problems, emotional symptoms, and peer relationship problems) at ages 7, 9 and 12. The sampling frame included up to 6687 twins from the Twins Early Development Study. Our analyses focused on relative effect sizes of G, E and GxE in predicting behavior problems. G, E and GxE predicted up to 2%, 2% and 0.4%, respectively, of the variance in externalizing behavior problems (hyperactivity/inattention and conduct problems) across ages 7, 9 and 12, with no clear developmental trends. G and E predictions of emotional symptoms and peer relationship problems were weaker. A quarter (12 of 48) of our tests of GxE were nominally significant (p = .05). Increasing the predictive power of G and E would enhance the search for GxE.
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Affiliation(s)
- Robert Plomin
- Institute of Psychiatry, Psychology and Neuroscience, King’s
College London, London, UK
| | - Agnieszka Gidziela
- School of Biological and Behavioural Sciences, Queen Mary University
of London, London, UK
| | - Margherita Malanchini
- School of Biological and Behavioural Sciences, Queen Mary University
of London, London, UK
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31
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Page ML, Vance EL, Cloward ME, Ringger E, Dayton L, Ebbert MTW, Miller JB, Kauwe JSK. The Polygenic Risk Score Knowledge Base offers a centralized online repository for calculating and contextualizing polygenic risk scores. Commun Biol 2022; 5:899. [PMID: 36056235 PMCID: PMC9438378 DOI: 10.1038/s42003-022-03795-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Accepted: 08/03/2022] [Indexed: 11/20/2022] Open
Abstract
The process of identifying suitable genome-wide association (GWA) studies and formatting the data to calculate multiple polygenic risk scores on a single genome can be laborious. Here, we present a centralized polygenic risk score calculator currently containing over 250,000 genetic variant associations from the NHGRI-EBI GWAS Catalog for users to easily calculate sample-specific polygenic risk scores with comparable results to other available tools. Polygenic risk scores are calculated either online through the Polygenic Risk Score Knowledge Base (PRSKB; https://prs.byu.edu ) or via a command-line interface. We report study-specific polygenic risk scores across the UK Biobank, 1000 Genomes, and the Alzheimer's Disease Neuroimaging Initiative (ADNI), contextualize computed scores, and identify potentially confounding genetic risk factors in ADNI. We introduce a streamlined analysis tool and web interface to calculate and contextualize polygenic risk scores across various studies, which we anticipate will facilitate a wider adaptation of polygenic risk scores in future disease research.
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Affiliation(s)
- Madeline L Page
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - Elizabeth L Vance
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | | | - Ed Ringger
- Department of Biology, Brigham Young University, Provo, UT, USA
| | - Louisa Dayton
- Department of Biology, Brigham Young University, Provo, UT, USA
| | - Mark T W Ebbert
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA.,Division of Biomedical Informatics, Department of Internal Medicine, University of Kentucky, Lexington, KY, USA.,Department of Neuroscience, University of Kentucky, Lexington, KY, USA
| | | | - Justin B Miller
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA.,Division of Biomedical Informatics, Department of Internal Medicine, University of Kentucky, Lexington, KY, USA.,Department of Pathology and Laboratory Medicine, University of Kentucky, Lexington, KY, USA
| | - John S K Kauwe
- Department of Biology, Brigham Young University, Provo, UT, USA.
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32
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Wang Y, Tsuo K, Kanai M, Neale BM, Martin AR. Challenges and Opportunities for Developing More Generalizable Polygenic Risk Scores. Annu Rev Biomed Data Sci 2022; 5:293-320. [PMID: 35576555 PMCID: PMC9828290 DOI: 10.1146/annurev-biodatasci-111721-074830] [Citation(s) in RCA: 56] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Polygenic risk scores (PRS) estimate an individual's genetic likelihood of complex traits and diseases by aggregating information across multiple genetic variants identified from genome-wide association studies. PRS can predict a broad spectrum of diseases and have therefore been widely used in research settings. Some work has investigated their potential applications as biomarkers in preventative medicine, but significant work is still needed to definitively establish and communicate absolute risk to patients for genetic and modifiable risk factors across demographic groups. However, the biggest limitation of PRS currently is that they show poor generalizability across diverse ancestries and cohorts. Major efforts are underway through methodological development and data generation initiatives to improve their generalizability. This review aims to comprehensively discuss current progress on the development of PRS, the factors that affect their generalizability, and promising areas for improving their accuracy, portability, and implementation.
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Affiliation(s)
- Ying Wang
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts, USA;
- Stanley Center for Psychiatric Research and Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
| | - Kristin Tsuo
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts, USA;
- Stanley Center for Psychiatric Research and Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
- Biological and Biomedical Sciences, Harvard Medical School, Boston, Massachusetts, USA
| | - Masahiro Kanai
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts, USA;
- Stanley Center for Psychiatric Research and Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
| | - Benjamin M Neale
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts, USA;
- Stanley Center for Psychiatric Research and Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
| | - Alicia R Martin
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts, USA;
- Stanley Center for Psychiatric Research and Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
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33
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Tian T, Zhang G, Wang J, Liu D, Wan C, Fang J, Wu D, Zhou Y, Qin Y, Zhu H, Li Y, Li J, Zhu W. Contribution of brain network connectivity in predicting effects of polygenic risk and childhood trauma on state-trait anxiety. J Psychiatr Res 2022; 152:119-127. [PMID: 35724493 DOI: 10.1016/j.jpsychires.2022.06.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 04/25/2022] [Accepted: 06/10/2022] [Indexed: 11/17/2022]
Abstract
BACKGROUND Anxiety is usually attributed to adverse environmental factors, but it is known as a polygenic inheritance disease. Gene-environment interactions on the occurrence and severity of anxiety are still unclear. The role of brain network connectivity in the gene-environment effects on anxiety has not been explored and may be key to understanding neuropathogenesis and guiding treatment. METHODS This study recruited 177 young adults from the community that completed functional magnetic resonance imaging, Childhood Trauma Questionnaire (CTQ), state-trait anxiety scores, and whole exome sequencing. We calculated polygenic risk score (PRS) for anxiety and the sum score of CTQ, which are genetic and environmental factors that may affect anxiety, respectively. Abnormal brain network connectivity determined by the gene-environment effects and its associations with anxiety scores were then explored. RESULTS Except for the main effect of PRS or CTQ on intra-network connectivity, significant interactions were found in intra-network connectivity of visual network, default mode network, self-reference network, and sensorimotor network. Moreover, altered network connectivity was related to anxious tendency. In particular, the effect of CTQ on trait anxiety was mediated by the disrupted sensorimotor network, accompanied by a significant direct effect. However, the PRS influence on anxiety was mainly mediated through sensorimotor network paths, which exceeded the direct influence and was moderated by childhood trauma levels. CONCLUSIONS These network-specific functional changes related to individual gene-environment risks advance our understanding of psychiatric pathogenesis of anxiety and provide new insights for clinical intervention.
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Affiliation(s)
- Tian Tian
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Guiling Zhang
- Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Jian Wang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Dong Liu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Changhua Wan
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Jicheng Fang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Di Wu
- Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yiran Zhou
- Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yuanyuan Qin
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Hongquan Zhu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yuanhao Li
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Jia Li
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| | - Wenzhen Zhu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
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34
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Gillett AC, Jermy BS, Lee SH, Pain O, Howard DM, Hagenaars SP, Hanscombe KB, Coleman JRI, Lewis CM. Exploring polygenic-environment and residual-environment interactions for depressive symptoms within the UK Biobank. Genet Epidemiol 2022; 46:219-233. [PMID: 35438196 PMCID: PMC9541465 DOI: 10.1002/gepi.22449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 02/04/2022] [Accepted: 03/15/2022] [Indexed: 11/10/2022]
Abstract
Substantial advances have been made in identifying genetic contributions to depression, but little is known about how the effect of genes can be modulated by the environment, creating a gene-environment interaction. Using multivariate reaction norm models (MRNMs) within the UK Biobank (N = 61294-91644), we investigate whether the polygenic and residual variance components of depressive symptoms are modulated by 17 a priori selected covariate traits-12 environmental variables and 5 biomarkers. MRNMs, a mixed-effects modelling approach, provide unbiased polygenic-covariate interaction estimates for a quantitative trait by controlling for outcome-covariate correlations and residual-covariate interactions. A continuous depressive symptom variable was the outcome in 17 MRNMs-one for each covariate trait. Each MRNM had a fixed-effects model (fixed effects included the covariate trait, demographic variables, and principal components) and a random effects model (where polygenic-covariate and residual-covariate interactions are modelled). Of the 17 selected covariates, 11 significantly modulate deviations in depressive symptoms through the modelled interactions, but no single interaction explains a large proportion of phenotypic variation. Results are dominated by residual-covariate interactions, suggesting that covariate traits (including neuroticism, childhood trauma, and BMI) typically interact with unmodelled variables, rather than a genome-wide polygenic component, to influence depressive symptoms. Only average sleep duration has a polygenic-covariate interaction explaining a demonstrably nonzero proportion of the variability in depressive symptoms. This effect is small, accounting for only 1.22% (95% confidence interval: [0.54, 1.89]) of variation. The presence of an interaction highlights a specific focus for intervention, but the negative results here indicate a limited contribution from polygenic-environment interactions.
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Affiliation(s)
- Alexandra C Gillett
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,NIHR Maudsley Biomedical Research Centre, South London and Maudsley NHS Trust, London, UK
| | - Bradley S Jermy
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,NIHR Maudsley Biomedical Research Centre, South London and Maudsley NHS Trust, London, UK
| | - Sang Hong Lee
- Australian Centre for Precision Health, University of South Australia, SA, Adelaide, Australia.,UniSA Allied Health and Human Performance, University of South Australia, Adelaide, SA, Australia
| | - Oliver Pain
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,NIHR Maudsley Biomedical Research Centre, South London and Maudsley NHS Trust, London, UK
| | - David M Howard
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, UK
| | - Saskia P Hagenaars
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Ken B Hanscombe
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Jonathan R I Coleman
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,NIHR Maudsley Biomedical Research Centre, South London and Maudsley NHS Trust, London, UK
| | - Cathryn M Lewis
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,NIHR Maudsley Biomedical Research Centre, South London and Maudsley NHS Trust, London, UK.,Department of Medical and Molecular Genetics, Faculty of Life Sciences and Medicine, King's College London, London, UK
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35
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Kanarik M, Grimm O, Mota NR, Reif A, Harro J. ADHD co-morbidities: A review of implication of gene × environment effects with dopamine-related genes. Neurosci Biobehav Rev 2022; 139:104757. [PMID: 35777579 DOI: 10.1016/j.neubiorev.2022.104757] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Revised: 06/25/2022] [Accepted: 06/26/2022] [Indexed: 02/07/2023]
Abstract
ADHD is a major burden in adulthood, where co-morbid conditions such as depression, substance use disorder and obesity often dominate the clinical picture. ADHD has substantial shared heritability with other mental disorders, contributing to comorbidity. However, environmental risk factors exist but their interaction with genetic makeup, especially in relation to comorbid disorders, remains elusive. This review for the first time summarizes present knowledge on gene x environment (GxE) interactions regarding the dopamine system. Hitherto, mainly candidate (GxE) studies were performed, focusing on the genes DRD4, DAT1 and MAOA. Some evidence suggest that the variable number tandem repeats in DRD4 and MAOA may mediate GxE interactions in ADHD generally, and comorbid conditions specifically. Nevertheless, even for these genes, common variants are bound to suggest risk only in the context of gender and specific environments. For other polymorphisms, evidence is contradictory and less convincing. Particularly lacking are longitudinal studies testing the interaction of well-defined environmental with polygenic risk scores reflecting the dopamine system in its entirety.
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Affiliation(s)
- Margus Kanarik
- Chair of Neuropsychopharmacology, Institute of Chemistry, University of Tartu, Ravila 14A Chemicum, 50411 Tartu, Estonia
| | - Oliver Grimm
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University, Frankfurt, Germany
| | - Nina Roth Mota
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University, Frankfurt, Germany
| | - Jaanus Harro
- Chair of Neuropsychopharmacology, Institute of Chemistry, University of Tartu, Ravila 14A Chemicum, 50411 Tartu, Estonia; Psychiatry Clinic, North Estonia Medical Centre, Paldiski Road 52, 10614 Tallinn, Estonia.
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Johnson R, Sotoudeh R, Conley D. Polygenic Scores for Plasticity: A New Tool for Studying Gene-Environment Interplay. Demography 2022; 59:1045-1070. [PMID: 35553650 DOI: 10.1215/00703370-9957418] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Fertility, health, education, and other outcomes of interest to demographers are the product of an individual's genetic makeup and their social environment. Yet, gene × environment (G×E) research deploys a limited toolkit on the genetic side to study the gene-environment interplay, relying on polygenic scores (PGSs) that reflect the influence of genetics on levels of an outcome. In this article, we develop a genetic summary measure better suited for G×E research: variance polygenic scores (vPGSs), which are PGSs that reflect genetic contributions to plasticity in outcomes. First, we use the UK Biobank (N ∼ 408,000 in the analytic sample) and the Health and Retirement Study (N ∼ 5,700 in the analytic sample) to compare four approaches to constructing PGSs for plasticity. The results show that widely used methods for discovering which genetic variants affect outcome variability fail to serve as distinctive new tools for G×E. Second, using the PGSs that do capture distinctive genetic contributions to plasticity, we analyze heterogeneous effects of a UK education reform on health and educational attainment. The results show the properties of a useful new tool for population scientists studying the interplay of nature and nurture and for population-based studies that are releasing PGSs to applied researchers.
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Affiliation(s)
- Rebecca Johnson
- McCourt School of Public Policy, Georgetown University, Washington, DC, USA
| | | | - Dalton Conley
- Department of Sociology and Office of Population Research, Princeton University, Princeton, NJ, USA
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Wickrama KKAS, Lee TK, Klopack ET, Lee S, O'Neal CW. Patterns of Co-occurring Developmental Failures in Adolescence: Socioeconomic and Genetic Antecedents and Health Outcomes in Adulthood. BIODEMOGRAPHY AND SOCIAL BIOLOGY 2022; 67:102-121. [PMID: 35321604 DOI: 10.1080/19485565.2022.2052710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
This study investigates (1) conjoint latent classes of adolescent co-occurring developmental problems (obesity, depressive symptoms, and low educational attainment), (2) socioeconomic and genetic influences on these classes of adolescents' problem trajectories, and (3) physical health consequences of those latent classes. Data from the National Longitudinal Study of Adolescent to Adult Health (Add Health; N = 9,107; mean age = 15.5 years; Female = 52.9 per cent) were used to identify classes of early socioeconomic adversity and conjoint trajectory groups of co-occurring developmental problems. Profiles of social antecedents, genetic endowments (polygenic scores), and physical health outcomes in young adulthood were compared across identified four conjoint trajectory risk groups (overall high-risk, overall low-risk, BMI-risk or obesity, low education-risk). The results showed that youth with overall high-risk and BMI/education-specific risk trajectory groups were more likely to be Black or Hispanic, reported more adverse socioeconomic characteristics and genetic endowment, and averaged significantly poorer physical health in young adulthood compared with youth in the overall low-risk problem trajectory group. Less pronounced differences emerged between the high-risk and problem-specific-risk groups. The findings highlight heterogeneity in adolescent co-occurring developmental problems. Adolescent heterogeneous problem co-development is associated with background socioeconomic and genetic characteristics and physical health in young adulthood.
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Affiliation(s)
- Kandauda K A S Wickrama
- Department of Human Development and Family Science, The University of Georgia, Athens, Georgia, United States of America
| | - Tae Kyoung Lee
- Department of Child Psychology and Education/ Social Innovation Convergence Program, Sungkyunkwan University, Seoul, Republic of Korea
| | - Eric T Klopack
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, California United States of America
| | - Seonhwa Lee
- Graduate School of Human Services Studies, Seoul Women's University, Seoul, Republic of Korea
| | - Catherine Walker O'Neal
- Department of Human Development and Family Science, The University of Georgia, Athens, Georgia, United States of America
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Lippard ETC, Nemeroff CB. Going beyond risk factor: Childhood maltreatment and associated modifiable targets to improve life-long outcomes in mood disorders. Pharmacol Biochem Behav 2022; 215:173361. [PMID: 35219755 DOI: 10.1016/j.pbb.2022.173361] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 02/17/2022] [Accepted: 02/20/2022] [Indexed: 01/26/2023]
Abstract
Childhood maltreatment increases risk for mood disorders and is associated with earlier onset-and more pernicious disease course following onset-of mood disorders. While the majority of studies to date have been cross-sectional, longitudinal studies are emerging and support the devastating role(s) childhood maltreatment has on development of, and illness course in, mood disorders. This manuscript extends prior reviews to emphasize more recent work, highlighting longitudinal data, and discusses treatment studies that provide clues to mechanisms that mediate disease risk, course, relapse, and treatment response. Evidence suggesting systemic inflammation, alterations in hypothalamic-pituitary-adrenal (HPA) axis function and corticotropin-releasing factor (CRF) neural systems, genetic and other familial factors as mechanisms that mediate risk and onset of, and illness course in, mood disorders following childhood maltreatment is discussed. Risky behaviors following maltreatment, e.g., substance use and unhealthy lifestyles, may further exacerbate alterations in the HPA axis, CRF neural systems, and systematic inflammation to contribute to a more pernicious disease course. More research on sex differences and the impact of maltreatment in vulnerable populations is needed. Future research needs to be aimed at leveraging knowledge on modifiable targets, going beyond childhood maltreatment as a risk factor, to inform prevention and treatment strategies and foster trauma-informed care.
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Affiliation(s)
- Elizabeth T C Lippard
- Department of Psychiatry and Behavioral Sciences, Dell Medical School, University of Texas, Austin, TX, USA; Institute of Early Life Adversity Research, Dell Medical School, University of Texas, Austin, TX, USA; Waggoner Center for Alcohol and Addiction Research, University of Texas, Austin, TX, USA; Department of Psychology, University of Texas, Austin, TX, USA; Mulva Clinic for Neuroscience, Dell Medical School, University of Texas, Austin, TX, USA.
| | - Charles B Nemeroff
- Department of Psychiatry and Behavioral Sciences, Dell Medical School, University of Texas, Austin, TX, USA; Institute of Early Life Adversity Research, Dell Medical School, University of Texas, Austin, TX, USA; Waggoner Center for Alcohol and Addiction Research, University of Texas, Austin, TX, USA; Mulva Clinic for Neuroscience, Dell Medical School, University of Texas, Austin, TX, USA
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Martins J, Yusupov N, Binder EB, Brückl TM, Czamara D. Early adversity as the prototype gene × environment interaction in mental disorders? Pharmacol Biochem Behav 2022; 215:173371. [PMID: 35271857 DOI: 10.1016/j.pbb.2022.173371] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 02/03/2022] [Accepted: 02/28/2022] [Indexed: 10/18/2022]
Abstract
Childhood adversity (CA) as a significant stressor has consistently been associated with the development of mental disorders. The interaction between CA and genetic variants has been proposed to play a substantial role in disease etiology. In this review, we focus on the gene by environment (GxE) paradigm, its background and interpretation and stress the necessity of its implementation in psychiatric research. Further, we discuss the findings supporting GxCA interactions, ranging from candidate gene studies to polygenic and genome-wide approaches, their strengths and limitations. To illustrate potential underlying epigenetic mechanisms by which GxE effects are translated, we focus on results from FKBP5 × CA studies and discuss how molecular evidence can supplement previous GxE findings. In conclusion, while GxE studies constitute a valuable line of investigation, more harmonized GxE studies in large, deep-phenotyped, longitudinal cohorts, and across different developmental stages are necessary to further substantiate and understand reported GxE findings.
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Affiliation(s)
- Jade Martins
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich 80804, Germany.
| | - Natan Yusupov
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich 80804, Germany; International Max Planck Research School for Translational Psychiatry (IMPRS-TP), Munich, Germany
| | - Elisabeth B Binder
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich 80804, Germany; Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA 30329, USA
| | - Tanja M Brückl
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich 80804, Germany
| | - Darina Czamara
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich 80804, Germany
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40
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He Q, Li JJ. A Gene-Environment Interaction Study of Polygenic Scores and Maltreatment on Childhood ADHD. Res Child Adolesc Psychopathol 2022; 50:309-319. [PMID: 34599701 PMCID: PMC8891039 DOI: 10.1007/s10802-021-00873-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/22/2021] [Indexed: 01/17/2023]
Abstract
This study explored whether maltreatment moderates the association of polygenic risk for ADHD. Because individuals with low polygenic scores (PGS) for ADHD were previously shown to have better than expected functional outcomes (i.e., cognitive, mental health, social-emotional) than individuals with middle or high ADHD PGS, we hypothesized low ADHD PGS may confer a protective effect from maltreatment in the development of ADHD. Data were from participants with phenotypic and genotypic data in the National Longitudinal Study of Adolescent to Adult Health (Add Health; n = 4,722). ADHD PGS were generated from the most recent genome-wide association study on ADHD and categorized into three groups (i.e., low, medium, high) using empirically determined cut-points. A maltreatment factor score was derived from five forms of self-reported maltreatment experiences prior to age 18. ADHD PGS and maltreatment were positively associated with ADHD symptoms, as expected. However, no interaction between ADHD PGS and maltreatment on ADHD symptoms was detected. Despite the increase in predictive power afforded by PGS, the lack of an interaction between ADHD PGS and maltreatment on ADHD symptoms converges with an emerging body of PGS studies that have also failed to detect PGS-environment interplay in mental disorders. We discuss possible reasons for this pattern of results and offer alternative methods for future research in understanding gene-environment interactions.
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Affiliation(s)
- Quanfa He
- Department of Psychology, University of WI-Madison, 1202 West Johnson Street, Madison, WI, 53706, USA
| | - James J Li
- Department of Psychology, University of WI-Madison, 1202 West Johnson Street, Madison, WI, 53706, USA.
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA.
- Center for Demography On Health and Aging, University of Wisconsin-Madison, Madison, WI, USA.
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41
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Morozova A, Zorkina Y, Abramova O, Pavlova O, Pavlov K, Soloveva K, Volkova M, Alekseeva P, Andryshchenko A, Kostyuk G, Gurina O, Chekhonin V. Neurobiological Highlights of Cognitive Impairment in Psychiatric Disorders. Int J Mol Sci 2022; 23:1217. [PMID: 35163141 PMCID: PMC8835608 DOI: 10.3390/ijms23031217] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 01/18/2022] [Accepted: 01/20/2022] [Indexed: 02/07/2023] Open
Abstract
This review is focused on several psychiatric disorders in which cognitive impairment is a major component of the disease, influencing life quality. There are plenty of data proving that cognitive impairment accompanies and even underlies some psychiatric disorders. In addition, sources provide information on the biological background of cognitive problems associated with mental illness. This scientific review aims to summarize the current knowledge about neurobiological mechanisms of cognitive impairment in people with schizophrenia, depression, mild cognitive impairment and dementia (including Alzheimer's disease).The review provides data about the prevalence of cognitive impairment in people with mental illness and associated biological markers.
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Affiliation(s)
- Anna Morozova
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, 117152 Moscow, Russia; (A.M.); (O.A.); (K.S.); (M.V.); (P.A.); (A.A.); (G.K.)
- Department of Basic and Applied Neurobiology, V. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, 119034 Moscow, Russia; (O.P.); (K.P.); (O.G.); (V.C.)
| | - Yana Zorkina
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, 117152 Moscow, Russia; (A.M.); (O.A.); (K.S.); (M.V.); (P.A.); (A.A.); (G.K.)
- Department of Basic and Applied Neurobiology, V. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, 119034 Moscow, Russia; (O.P.); (K.P.); (O.G.); (V.C.)
| | - Olga Abramova
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, 117152 Moscow, Russia; (A.M.); (O.A.); (K.S.); (M.V.); (P.A.); (A.A.); (G.K.)
- Department of Basic and Applied Neurobiology, V. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, 119034 Moscow, Russia; (O.P.); (K.P.); (O.G.); (V.C.)
| | - Olga Pavlova
- Department of Basic and Applied Neurobiology, V. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, 119034 Moscow, Russia; (O.P.); (K.P.); (O.G.); (V.C.)
| | - Konstantin Pavlov
- Department of Basic and Applied Neurobiology, V. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, 119034 Moscow, Russia; (O.P.); (K.P.); (O.G.); (V.C.)
| | - Kristina Soloveva
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, 117152 Moscow, Russia; (A.M.); (O.A.); (K.S.); (M.V.); (P.A.); (A.A.); (G.K.)
| | - Maria Volkova
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, 117152 Moscow, Russia; (A.M.); (O.A.); (K.S.); (M.V.); (P.A.); (A.A.); (G.K.)
| | - Polina Alekseeva
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, 117152 Moscow, Russia; (A.M.); (O.A.); (K.S.); (M.V.); (P.A.); (A.A.); (G.K.)
| | - Alisa Andryshchenko
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, 117152 Moscow, Russia; (A.M.); (O.A.); (K.S.); (M.V.); (P.A.); (A.A.); (G.K.)
| | - Georgiy Kostyuk
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, 117152 Moscow, Russia; (A.M.); (O.A.); (K.S.); (M.V.); (P.A.); (A.A.); (G.K.)
| | - Olga Gurina
- Department of Basic and Applied Neurobiology, V. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, 119034 Moscow, Russia; (O.P.); (K.P.); (O.G.); (V.C.)
| | - Vladimir Chekhonin
- Department of Basic and Applied Neurobiology, V. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, 119034 Moscow, Russia; (O.P.); (K.P.); (O.G.); (V.C.)
- Department of Medical Nanobiotechnology, Pirogov Russian National Research Medical University, 117997 Moscow, Russia
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42
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Mazza MG, Palladini M, Poletti S, Benedetti F. Post-COVID-19 Depressive Symptoms: Epidemiology, Pathophysiology, and Pharmacological Treatment. CNS Drugs 2022; 36:681-702. [PMID: 35727534 PMCID: PMC9210800 DOI: 10.1007/s40263-022-00931-3] [Citation(s) in RCA: 80] [Impact Index Per Article: 40.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/19/2022] [Indexed: 12/12/2022]
Abstract
The Coronavirus Disease 2019 (COVID-19) pandemic is still spreading worldwide over 2 years since its outbreak. The psychopathological implications in COVID-19 survivors such as depression, anxiety, and cognitive impairments are now recognized as primary symptoms of the "post-acute COVID-19 syndrome." Depressive psychopathology was reported in around 35% of patients at short, medium, and long-term follow-up after the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) infection. Post-COVID-19 depressive symptoms are known to increase fatigue and affect neurocognitive functioning, sleep, quality of life, and global functioning in COVID-19 survivors. The psychopathological mechanisms underlying post-COVID-19 depressive symptoms are mainly related to the inflammation triggered by the peripheral immune-inflammatory response to the viral infection and to the persistent psychological burden during and after infection. The large number of SARS-CoV-2-infected patients and the high prevalence of post-COVID-19 depressive symptoms may significantly increase the pool of people suffering from depressive disorders. Therefore, it is essential to screen, diagnose, treat, and monitor COVID-19 survivors' psychopathology to counteract the depression disease burden and related years of life lived with disability. This paper reviews the current literature in order to synthesize the available evidence regarding epidemiology, clinical features, neurobiological underpinning, and pharmacological treatment of post-COVID-19 depressive symptoms.
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Affiliation(s)
- Mario Gennaro Mazza
- Psychiatry and Clinical Psychobiology, Division of Neuroscience, IRCCS Scientific Institute Ospedale San Raffaele, San Raffaele Turro, Via Stamira d'Ancona 20, 20127, Milan, Italy. .,Vita-Salute San Raffaele University, Milan, Italy. .,PhD Program in Cognitive Neuroscience, Vita-Salute San Raffaele University, Milan, Italy.
| | - Mariagrazia Palladini
- Psychiatry and Clinical Psychobiology, Division of Neuroscience, IRCCS Scientific Institute Ospedale San Raffaele, San Raffaele Turro, Via Stamira d’Ancona 20, 20127 Milan, Italy ,grid.15496.3f0000 0001 0439 0892Vita-Salute San Raffaele University, Milan, Italy ,grid.15496.3f0000 0001 0439 0892PhD Program in Cognitive Neuroscience, Vita-Salute San Raffaele University, Milan, Italy
| | - Sara Poletti
- Psychiatry and Clinical Psychobiology, Division of Neuroscience, IRCCS Scientific Institute Ospedale San Raffaele, San Raffaele Turro, Via Stamira d’Ancona 20, 20127 Milan, Italy ,grid.15496.3f0000 0001 0439 0892Vita-Salute San Raffaele University, Milan, Italy
| | - Francesco Benedetti
- Psychiatry and Clinical Psychobiology, Division of Neuroscience, IRCCS Scientific Institute Ospedale San Raffaele, San Raffaele Turro, Via Stamira d’Ancona 20, 20127 Milan, Italy ,grid.15496.3f0000 0001 0439 0892Vita-Salute San Raffaele University, Milan, Italy
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Suppli NP, Andersen KK, Agerbo E, Rajagopal VM, Appadurai V, Coleman JR, Breen G, Bybjerg-Grauholm J, Bækvad-Hansen M, Pedersen CB, Pedersen MG, Thompson WK, Munk-Olsen T, Benros ME, Als TD, Grove J, Werge T, Børglum AD, Hougaard DM, Mors O, Nordentoft M, Mortensen PB, Musliner KL. Genome-wide by environment interaction study of stressful life events and hospital-treated depression in the iPSYCH2012 sample. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2021; 2:400-410. [DOI: 10.1016/j.bpsgos.2021.11.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 10/29/2021] [Accepted: 11/01/2021] [Indexed: 10/19/2022] Open
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44
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A Polygenic Approach to Understanding Resilience to Peer Victimisation. Behav Genet 2021; 52:1-12. [PMID: 34635963 PMCID: PMC8770424 DOI: 10.1007/s10519-021-10085-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 09/20/2021] [Indexed: 01/21/2023]
Abstract
Previous studies suggest an individual’s risk of depression following adversity may be moderated by their genetic liability. No study, however, has examined peer victimisation, an experience repeatedly associated with mental illness. We explore whether the negative mental health outcomes following victimisation can be partly attributed to genetic factors using polygenic scores for depression and wellbeing. Among participants from the Avon Longitudinal Study of Parents and Children (ALSPAC), we show that polygenic scores and peer victimisation are significant independent predictors of depressive symptoms (n=2268) and wellbeing (n=2299) in early adulthood. When testing for interaction effects, our results lead us to conclude that low mental health and wellbeing following peer victimisation is unlikely to be explained by a moderating effect of genetic factors, as indexed by current polygenic scores. Genetic profiling is therefore unlikely to be effective in identifying those more vulnerable to the effects of victimisation at present. The reasons why some go on to experience mental health problems following victimisation, while others remain resilient, requires further exploration, but our results rule out a major influence of current polygenic scores.
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45
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Kendall KM, Van Assche E, Andlauer TFM, Choi KW, Luykx JJ, Schulte EC, Lu Y. The genetic basis of major depression. Psychol Med 2021; 51:2217-2230. [PMID: 33682643 DOI: 10.1017/s0033291721000441] [Citation(s) in RCA: 66] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Major depressive disorder (MDD) is a common, debilitating, phenotypically heterogeneous disorder with heritability ranges from 30% to 50%. Compared to other psychiatric disorders, its high prevalence, moderate heritability, and strong polygenicity have posed major challenges for gene-mapping in MDD. Studies of common genetic variation in MDD, driven by large international collaborations such as the Psychiatric Genomics Consortium, have confirmed the highly polygenic nature of the disorder and implicated over 100 genetic risk loci to date. Rare copy number variants associated with MDD risk were also recently identified. The goal of this review is to present a broad picture of our current understanding of the epidemiology, genetic epidemiology, molecular genetics, and gene-environment interplay in MDD. Insights into the impact of genetic factors on the aetiology of this complex disorder hold great promise for improving clinical care.
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Affiliation(s)
- K M Kendall
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - E Van Assche
- Department of Psychiatry, University of Muenster, Muenster, Germany
| | - T F M Andlauer
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - K W Choi
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA02114, USA
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA02114, USA
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA02115, USA
| | - J J Luykx
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Outpatient Second Opinion Clinic, GGNet Mental Health, Warnsveld, The Netherlands
| | - E C Schulte
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Y Lu
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
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Abstract
Enabled by advances in high throughput genomic sequencing and an unprecedented level of global data sharing, molecular genetic research is beginning to unlock the biological basis of eating disorders. This invited review provides an overview of genetic discoveries in eating disorders in the genome-wide era. To date, five genome-wide association studies on eating disorders have been conducted - all on anorexia nervosa (AN). For AN, several risk loci have been detected, and ~11-17% of the heritability has been accounted for by common genetic variants. There is extensive genetic overlap between AN and psychological traits, especially obsessive-compulsive disorder, and intriguingly, with metabolic phenotypes even after adjusting for body mass index (BMI) risk variants. Furthermore, genetic risk variants predisposing to lower BMI may be causal risk factors for AN. Causal genes and biological pathways of eating disorders have yet to be elucidated and will require greater sample sizes and statistical power, and functional follow-up studies. Several studies are underway to recruit individuals with bulimia nervosa and binge-eating disorder to enable further genome-wide studies. Data collections and research labs focused on the genetics of eating disorders have joined together in a global effort with the Psychiatric Genomics Consortium. Molecular genetics research in the genome-wide era is improving knowledge about the biology behind the established heritability of eating disorders. This has the potential to offer new hope for understanding eating disorder etiology and for overcoming the therapeutic challenges that confront the eating disorder field.
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Affiliation(s)
- Hunna J. Watson
- Department of Psychiatry, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Division of Paediatrics, School of Medicine, The University of Western Australia, Perth, Australia
- School of Psychology, Curtin University, Perth, Australia
| | - Alish B. Palmos
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Avina Hunjan
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
- National Institute for Health Research (NIHR) Biomedical Research Centre for Mental Health, South London and Maudsley National Health Service (NHS) Trust, London, United Kingdom
| | - Jessica H Baker
- Department of Psychiatry, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Zeynep Yilmaz
- Department of Psychiatry, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- National Centre for Register-based Research, Aarhus BSS, Aarhus University, Aarhus, Denmark
- Department of Genetics, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Helena L. Davies
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
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Wang CA, Attia JR, Lye SJ, Oddy WH, Beilin L, Mori TA, Meyerkort C, Pennell CE. The interactions between genetics and early childhood nutrition influence adult cardiometabolic risk factors. Sci Rep 2021; 11:14826. [PMID: 34290306 PMCID: PMC8295375 DOI: 10.1038/s41598-021-94206-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 06/29/2021] [Indexed: 12/20/2022] Open
Abstract
It is well established that genetics, environment, and interplay between them play a crucial role in adult disease. We aimed to evaluate the role of genetics, early life nutrition, and the interaction between them, on optimal adult health. As part of a large international consortium (n ~ 154,000), we identified 60 SNPs associated with both birthweight and adult disease. Utilising the Raine Study, we developed a birthweight polygenic score (BW-PGS) based on the 60 SNPs and examined relationships between BW-PGS and adulthood cardiovascular risk factors, specifically evaluating interactions with early life nutrition. Healthy nutrition was beneficial for all individuals; longer duration of any breastfeeding was particularly associated with lower BMI and lower Systolic Blood Pressure in those with higher BW-PGS. Optimal breastfeeding offers the greatest benefit to reduce adult obesity and hypertension in those genetically predisposed to high birthweight. This provides an example of how precision medicine in early life can improve adult health.
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Affiliation(s)
- Carol A Wang
- School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, Australia.,Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - John R Attia
- School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, Australia.,Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Stephen J Lye
- Alliance for Human Development, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Lawrence Beilin
- Medical School, Royal Perth Hospital Unit, University of Western Australia, Crawley, WA, Australia
| | - Trevor A Mori
- Medical School, Royal Perth Hospital Unit, University of Western Australia, Crawley, WA, Australia
| | | | - Craig E Pennell
- School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, Australia. .,Hunter Medical Research Institute, Newcastle, NSW, Australia.
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Mundy J, Hübel C, Gelernter J, Levey D, Murray RM, Skelton M, Stein MB, Vassos E, Breen G, Coleman JRI. Psychological trauma and the genetic overlap between posttraumatic stress disorder and major depressive disorder. Psychol Med 2021; 52:1-10. [PMID: 34085609 PMCID: PMC8962503 DOI: 10.1017/s0033291721000830] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 02/19/2021] [Accepted: 02/24/2021] [Indexed: 12/16/2022]
Abstract
BACKGROUND Posttraumatic stress disorder (PTSD) and major depressive disorder (MDD) are commonly reported co-occurring mental health consequences of psychological trauma exposure. The disorders have high genetic overlap. Trauma is a complex phenotype but research suggests that trauma sensitivity has a heritable basis. We investigated whether sensitivity to trauma in those with MDD reflects a similar genetic component in those with PTSD. METHODS Genetic correlations between PTSD and MDD in individuals reporting trauma and MDD in individuals not reporting trauma were estimated, as well as with recurrent MDD and single-episode MDD, using genome-wide association study (GWAS) summary statistics. Genetic correlations were replicated using PTSD data from the Psychiatric Genomics Consortium and the Million Veteran Program. Polygenic risk scores were generated in UK Biobank participants who met the criteria for lifetime MDD (N = 29 471). We investigated whether genetic loading for PTSD was associated with reporting trauma in these individuals. RESULTS Genetic loading for PTSD was significantly associated with reporting trauma in individuals with MDD [OR 1.04 (95% CI 1.01-1.07), Empirical-p = 0.02]. PTSD was significantly more genetically correlated with recurrent MDD than with MDD in individuals not reporting trauma (rg differences = ~0.2, p < 0.008). Participants who had experienced recurrent MDD reported significantly higher rates of trauma than participants who had experienced single-episode MDD (χ2 > 166, p < 0.001). CONCLUSIONS Our findings point towards the existence of genetic variants associated with trauma sensitivity that might be shared between PTSD and MDD, although replication with better powered GWAS is needed. Our findings corroborate previous research highlighting trauma exposure as a key risk factor for recurrent MDD.
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Affiliation(s)
- Jessica Mundy
- Social, Genetic and Developmental Psychiatry Centre; Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- UK National Institute for Health Research (NIHR) Biomedical Research Centre, South London and Maudsley National Health Service (NHS) Trust, London, UK
| | - Christopher Hübel
- Social, Genetic and Developmental Psychiatry Centre; Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- UK National Institute for Health Research (NIHR) Biomedical Research Centre, South London and Maudsley National Health Service (NHS) Trust, London, UK
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Joel Gelernter
- Division of Human Genetics, Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare Center, West Haven, Connecticut, USA
- Departments of Genetics and Neuroscience, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Daniel Levey
- Division of Human Genetics, Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare Center, West Haven, Connecticut, USA
| | - Robin M. Murray
- UK National Institute for Health Research (NIHR) Biomedical Research Centre, South London and Maudsley National Health Service (NHS) Trust, London, UK
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Megan Skelton
- Social, Genetic and Developmental Psychiatry Centre; Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- UK National Institute for Health Research (NIHR) Biomedical Research Centre, South London and Maudsley National Health Service (NHS) Trust, London, UK
| | - Murray B. Stein
- Psychiatry Service, VA San Diego Healthcare System, San Diego, California, USA
- Departments of Psychiatry and Family Medicine & Public Health, University of California San Diego, La Jolla, California, USA
| | - Evangelos Vassos
- Social, Genetic and Developmental Psychiatry Centre; Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- UK National Institute for Health Research (NIHR) Biomedical Research Centre, South London and Maudsley National Health Service (NHS) Trust, London, UK
| | - Gerome Breen
- Social, Genetic and Developmental Psychiatry Centre; Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- UK National Institute for Health Research (NIHR) Biomedical Research Centre, South London and Maudsley National Health Service (NHS) Trust, London, UK
| | - Jonathan R. I. Coleman
- Social, Genetic and Developmental Psychiatry Centre; Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- UK National Institute for Health Research (NIHR) Biomedical Research Centre, South London and Maudsley National Health Service (NHS) Trust, London, UK
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49
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Sund ER, van Lenthe FJ, Avendano M, Raina P, Krokstad S. Does urbanicity modify the relationship between a polygenic risk score for depression and mental health symptoms? Cross-sectional evidence from the observational HUNT Study in Norway. J Epidemiol Community Health 2021; 75:420-425. [PMID: 32581065 PMCID: PMC8053322 DOI: 10.1136/jech-2020-214256] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 05/26/2020] [Accepted: 05/30/2020] [Indexed: 11/25/2022]
Abstract
BACKGROUND Research suggests that genetic predisposition for common mental disorders may be moderated by the environment. This study examines whether a polygenic risk score (PRS) for depression is moderated by the level of residential area urbanicity using five symptoms of poor mental health as outcomes. METHODS The study sample consisted of 41 198 participants from the 2006-2008 wave of the Norwegian HUNT study. We created a weighted PRS for depression based on 99 variants identified in a recent genome -wide association study. Participants were classified into urban or rural place of residence based on wards that correspond to neighbourhoods. Mixed effects logistic regression models with participants nested in 477 neighbourhoods were specified. RESULTS A SD increase in PRS for depression was associated with a small but statistically significant increase in the odds of anxiety, comorbid anxiety and depression and mental distress. Associations for depression were weaker and not statistically significant. Compared with urban residents, rural resident had higher odds for reporting poor mental health. Genetic propensity for depression was higher for residents of urban than rural areas, suggesting gene-environment correlation. There was no sign of effect modification between genetic propensity and urbanicity for depression, anxiety, comorbid anxiety and depression, or mental distress. CONCLUSION The PRS predicted small but significant odds of anxiety, comorbid anxiety and depression and mental distress, but we found no support for a differential effect of genetic propensity in urban and rural neighbourhoods for any of the outcomes.
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Affiliation(s)
- Erik Reidar Sund
- HUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Levanger, Norway
- Faculty of Nursing and Health Sciences, Nord University, Levanger, Norway
- Levanger Hospital, Nord-Trøndelag Hospital Trust, Levanger, Norway
| | - Frank J van Lenthe
- Department of Public Health, Erasmus MC, Rotterdam, Netherlands
- Department of Human Geography and Spatial Planning, Utrecht University, Utrecht, Netherlands
| | - Mauricio Avendano
- Department of GLobal Health and Social Medicine, King's College London School of Social Science and Public Policy, London, UK
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Harvard University, Cambridge, Massachusetts, USA
| | - Parminder Raina
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada
- McMaster Institute for Research on Aging, McMaster University, Hamilton, Canada
- Labarge Centre for Mobility in Aging, McMaster University, Hamilton, Canada
| | - Steinar Krokstad
- HUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Levanger, Norway
- Levanger Hospital, Nord-Trøndelag Hospital Trust, Levanger, Norway
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50
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Tamman AJF, Wendt FR, Pathak GA, Krystal JH, Montalvo-Ortiz JL, Southwick SM, Sippel LM, Gelernter J, Polimanti R, Pietrzak RH. Attachment Style Moderates Polygenic Risk for Posttraumatic Stress in United States Military Veterans: Results From the National Health and Resilience in Veterans Study. Biol Psychiatry 2021; 89:878-887. [PMID: 33276944 DOI: 10.1016/j.biopsych.2020.09.018] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 09/15/2020] [Accepted: 09/15/2020] [Indexed: 12/21/2022]
Abstract
BACKGROUND A polygenic risk score (PRS) derived from genome-wide association studies of posttraumatic stress disorder (PTSD) may inform risk for this disorder. To date, however, no known study has examined whether social environmental factors such as attachment style may moderate the relation between PRS and PTSD. METHODS We evaluated main and interactive effects of PRS and attachment style on PTSD symptoms in a nationally representative sample of trauma-exposed European-American U.S. military veterans (N = 2030). PRS was derived from a genome-wide association study of PTSD re-experiencing symptoms (N = 146,660) in the Million Veteran Program cohort. Using one-sample Mendelian randomization with data from the UK Biobank (N = 115,099), we evaluated the effects of re-experiencing PRS and attachment style on PTSD symptoms. RESULTS Higher re-experiencing PRS and secure attachment style were independently associated with PTSD symptoms. A significant PRS-by-attachment style interaction was also observed (β = -.11, p = .006), with a positive association between re-experiencing PRS and PTSD symptoms observed only among veterans with an insecure attachment style. One-sample Mendelian randomization analyses suggested that the association between PTSD symptoms and attachment style is bidirectional. PRS enrichment analyses revealed a significant interaction between attachment style and a variant mapping to the IGSF11 gene (rs151177743, p = 2.1 × 10-7), which is implicated in regulating excitatory synaptic transmission and plasticity. CONCLUSIONS Attachment style may moderate polygenic risk for PTSD symptoms, and a novel locus implicated in synaptic transmission and plasticity may serve as a possible biological mediator of this association. These findings may help inform interpersonally oriented treatments for PTSD for individuals with high polygenic risk for this disorder.
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Affiliation(s)
| | - Frank R Wendt
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Gita A Pathak
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - John H Krystal
- Clinical Neurosciences Division, U.S. Department of Veterans Affairs National Center for PTSD, VA Connecticut Healthcare System, New Haven, Connecticut; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | | | - Steven M Southwick
- Clinical Neurosciences Division, U.S. Department of Veterans Affairs National Center for PTSD, VA Connecticut Healthcare System, New Haven, Connecticut; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Lauren M Sippel
- Executive Division, National Center for PTSD, White River Junction, Vermont; Geisel School of Medicine at Dartmouth, Hanover, New Hampshire
| | - Joel Gelernter
- Clinical Neurosciences Division, U.S. Department of Veterans Affairs National Center for PTSD, VA Connecticut Healthcare System, New Haven, Connecticut; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Renato Polimanti
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Robert H Pietrzak
- Clinical Neurosciences Division, U.S. Department of Veterans Affairs National Center for PTSD, VA Connecticut Healthcare System, New Haven, Connecticut; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
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