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Black DW. Update on Antisocial Personality Disorder. Curr Psychiatry Rep 2024; 26:543-549. [PMID: 39230801 DOI: 10.1007/s11920-024-01528-x] [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] [Accepted: 08/16/2024] [Indexed: 09/05/2024]
Abstract
PURPOSE OF REVIEW Antisocial personality disorder (ASPD) is a characterized by lifelong or recurrent behavioral problems that begin in childhood or early adolescence. This communication provides an overview on ASPD including findings from recent reviews and new research. RECENT FINDINGS With regard to DSM-5's Section III Alternative Model of Personality Disorder criteria for ASPD, advocates point to the broader symptom coverage and harmonization with ICD-11; yet critics point to the lack of evidence for improved outcomes. A new report shows that antisocial individuals age faster than non-antisocial peers. ASPD has high heritability and newer molecular studies have found intriguing linkages to genes associated with crucial brain regions. A mentalization-based therapy model has been developed and early work shows promise. ASPD is common, widespread, and disruptive to individuals, families, and society. Chronic and lifelong, ASPD typically lessens in severity with advancing age. Assessment rests on the individual's history because there are no diagnostic tests. ASPD likely results from an interplay of genetic and environmental factors. Brain imaging studies have linked cortical dysfunction to antisocial behavior in crucial brain regions. Medication is sometimes targeted at the individual's aggression and irritability, but a more rational approach is to target co-occurring disorders. Cognitive-behavioral therapy and mentalization-based therapy models have been developed and are being studied.
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Affiliation(s)
- Donald W Black
- Department of Psychiatry, University of Iowa Roy J. and Lucille A. Carver College of Medicine, and Iowa City Veterans Administration Health Care, 2-126B Medical Education Building, Iowa City, IA, 52240, USA.
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2
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Zhang M, Jiang Z, Zhao K, Zhang Y, Xu M, Xu X. Effects of polygenes, parent-child relationship and frustration on junior high school students' aggressive behaviors. Psych J 2024; 13:265-275. [PMID: 38151799 PMCID: PMC10990803 DOI: 10.1002/pchj.717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Accepted: 10/24/2023] [Indexed: 12/29/2023]
Abstract
The effects of the interaction between polygenes and the parent-child relationship on junior high school students' aggressive behaviors were explored through the frameworks of gene-endophenotype-behavior and neurophysiological basis. A total of 892 junior high school students participated in this study. They were asked to complete self-reported questionnaires, and saliva samples were collected. Results showed that 5-HTTLPR, MAOA-uVNTR, COMT (rs4680), and Taq1 (rs1800497) of the DRD2 gene affected students' aggressive behaviors in an accumulative way. The polygenic risk score explained 3.4% of boys' aggression and 1.1% of girls' aggression. The interactions between polygenic risk score and parent-child conflict significantly affected the aggressive behaviors of male students, but did not show any significant effect on those of female students. The interactional effect of polygenic risk score and parent-child conflict on junior high school students' aggressive behaviors was completely mediated by frustration. However, the interaction effect of polygenic risk score and parent-child affinity on aggression was not affected by frustration. This study helps us better understand junior high school students' aggressive behaviors and promotes the prevention and correction of adolescents' problem behaviors.
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Affiliation(s)
- Minghao Zhang
- School of Educational ScienceLudong UniversityYantaiChina
- Collaborative Innovation Center for the Mental Health of Youth from the Era of Conversion of New and Old Kinetic Energy along the Yellow River Basin, Ludong UniversityYantaiChina
| | - Zhenli Jiang
- College of Safety and Environmental EngineeringShandong University of Science and TechnologyQingdaoChina
| | - Kedi Zhao
- Factor‐Inwentash Faculty of Social WorkUniversity of TorontoTorontoOntarioCanada
| | - Yaohua Zhang
- School of Educational ScienceLudong UniversityYantaiChina
- Collaborative Innovation Center for the Mental Health of Youth from the Era of Conversion of New and Old Kinetic Energy along the Yellow River Basin, Ludong UniversityYantaiChina
| | - Min Xu
- School of Educational ScienceLudong UniversityYantaiChina
- Collaborative Innovation Center for the Mental Health of Youth from the Era of Conversion of New and Old Kinetic Energy along the Yellow River Basin, Ludong UniversityYantaiChina
| | - Xiaohui Xu
- School of Educational ScienceLudong UniversityYantaiChina
- Collaborative Innovation Center for the Mental Health of Youth from the Era of Conversion of New and Old Kinetic Energy along the Yellow River Basin, Ludong UniversityYantaiChina
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Li W, Zhou H, Thygesen JH, Heydtmann M, Smith I, Degenhardt F, Nöthen M, Morgan MY, Kranzler HR, Gelernter J, Bass N, McQuillin A. Genome-wide association study of antisocial personality disorder diagnostic criteria provides evidence for shared risk factors across disorders. Psychiatr Genet 2023; 33:233-242. [PMID: 37756443 PMCID: PMC10635348 DOI: 10.1097/ypg.0000000000000352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 06/19/2023] [Indexed: 09/29/2023]
Abstract
INTRODUCTION While progress has been made in determining the genetic basis of antisocial behaviour, little progress has been made for antisocial personality disorder (ASPD), a condition that often co-occurs with other psychiatric conditions including substance use disorders, attention deficit hyperactivity disorder (ADHD), and anxiety disorders. This study aims to improve the understanding of the genetic risk for ASPD and its relationship with other disorders and traits. METHODS We conducted a genome-wide association study (GWAS) of the number of ASPD diagnostic criteria data from 3217 alcohol-dependent participants recruited in the UK (UCL, N = 644) and the USA (Yale-Penn, N = 2573). RESULTS We identified rs9806493, a chromosome 15 variant, that showed a genome-wide significant association ( Z -score = -5.501, P = 3.77 × 10 -8 ) with ASPD criteria. rs9806493 is an eQTL for SLCO3A1 (Solute Carrier Organic Anion Transporter Family Member 3A1), a ubiquitously expressed gene with strong expression in brain regions that include the anterior cingulate and frontal cortices. Polygenic risk score analysis identified positive correlations between ASPD and smoking, ADHD, depression traits, and posttraumatic stress disorder. Negative correlations were observed between ASPD PRS and alcohol intake frequency, reproductive traits, and level of educational attainment. CONCLUSION This study provides evidence for an association between ASPD risk and SLCO3A1 and provides insight into the genetic architecture and pleiotropic associations of ASPD.
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Affiliation(s)
- Wenqianglong Li
- Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, UK
| | - Hang Zhou
- Department of Psychiatry, Yale School of Medicine, New Haven
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, USA
| | - Johan H. Thygesen
- Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, UK
- Institute of Health Informatics, University College London, London, UK
| | - Mathis Heydtmann
- Royal Alexandria Hospital, NHS Greater Glasgow and Clyde, Paisley, UK
- Department of Gastroenterology, Dumfries & Galloway Royal Infirmary, Cargenbridge, Dumfries, Scotland
| | - Iain Smith
- Substance misuse service, Mayfield Centre, St Ninians, Stirling, UK
| | - Franziska Degenhardt
- Department of Child and Adolescent Psychiatry, University of Duisburg-Essen, Essen
| | - Markus Nöthen
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Marsha Y. Morgan
- UCL Institute for Liver & Digestive Health, Division of Medicine, Royal Free Campus, University College London, London, UK
| | - Henry R. Kranzler
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine
- Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania
| | - Joel Gelernter
- Department of Psychiatry, Yale School of Medicine, New Haven
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, USA
- Departments of Genetics and Neuroscience, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Nicholas Bass
- Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, UK
| | - Andrew McQuillin
- Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, UK
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Wessels SH, Macaulay S, Norris SA, Richter LM, May AK. Maternal Education Potentially Moderates the MAOA uVNTR Effects on Externalizing Behavior in Black South African Children. J Genet Psychol 2023; 184:117-132. [PMID: 36259534 DOI: 10.1080/00221325.2022.2134756] [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: 03/29/2023]
Abstract
Interactions between the MAOA uVNTR and rearing environment are suggested to influence the developmental manifestations of childhood internalizing and externalizing behavior. However, few studies in the MAOA literature have included continental African children, or focused on non-clinical samples. We explored the main and interactive effects of the MAOA uVNTR (high and low activity alleles) in Black South African male (n = 478) and female (n = 540) children who were part of the longitudinal Birth to Twenty Plus cohort. Historical data on birth weight, gestational age at delivery, socioeconomic status, and maternal education were combined with genotypic information and analyzed using regression modeling. We found no significant main effects for the MAOA uVNTR on childhood behavior in either sex. A significant interaction (p = .04) was identified between MAOA and maternal education, suggesting that externalizing behavior in boys carrying a low activity MAOA allele varied in direct proportion to the education levels of their mothers. However, the model fit failed to reach significance, possibly due to our inclusion of only non-clinical pre-pubertal males. No significant interactions were detected for female children. Our findings lend tentative credibility to the Environmental Sensitivity metaframework, which suggests that MAOA is an important plasticity factor in childhood development.
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Affiliation(s)
- Stephan H Wessels
- Division of Human Genetics, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand and the National Health Laboratory Service, Johannesburg, South Africa
| | - Shelley Macaulay
- Division of Human Genetics, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand and the National Health Laboratory Service, Johannesburg, South Africa
| | - Shane A Norris
- Developmental Pathways for Health Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- The DSI-NRF Centre of Excellence in Human Development, University of the Witwatersrand, Johannesburg, South Africa
| | - Linda M Richter
- The DSI-NRF Centre of Excellence in Human Development, University of the Witwatersrand, Johannesburg, South Africa
| | - Andrew K May
- Division of Human Genetics, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand and the National Health Laboratory Service, Johannesburg, South Africa
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Odintsova VV, Hagenbeek FA, van der Laan CM, van de Weijer S, Boomsma DI. Genetics and epigenetics of human aggression. HANDBOOK OF CLINICAL NEUROLOGY 2023; 197:13-44. [PMID: 37633706 DOI: 10.1016/b978-0-12-821375-9.00005-0] [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: 08/28/2023]
Abstract
There is substantial variation between humans in aggressive behavior, with its biological etiology and molecular genetic basis mostly unknown. This review chapter offers an overview of genomic and omics studies revealing the genetic contribution to aggression and first insights into associations with epigenetic and other omics (e.g., metabolomics) profiles. We allowed for a broad phenotype definition including studies on "aggression," "aggressive behavior," or "aggression-related traits," "antisocial behavior," "conduct disorder," and "oppositional defiant disorder." Heritability estimates based on family and twin studies in children and adults of this broadly defined phenotype of aggression are around 50%, with relatively small fluctuations around this estimate. Next, we review the genome-wide association studies (GWAS) which search for associations with alleles and also allow for gene-based tests and epigenome-wide association studies (EWAS) which seek to identify associations with differently methylated regions across the genome. Both GWAS and EWAS allow for construction of Polygenic and DNA methylation scores at an individual level. Currently, these predict a small percentage of variance in aggression. We expect that increases in sample size will lead to additional discoveries in GWAS and EWAS, and that multiomics approaches will lead to a more comprehensive understanding of the molecular underpinnings of aggression.
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Affiliation(s)
- Veronika V Odintsova
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; Amsterdam Reproduction and Development (AR&D) Research Institute, Amsterdam, The Netherlands; Mental Health Division, Amsterdam Public Health (APH) Research Institute, Amsterdam, The Netherlands
| | - Fiona A Hagenbeek
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; Mental Health Division, Amsterdam Public Health (APH) Research Institute, Amsterdam, The Netherlands
| | - Camiel M van der Laan
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; Netherlands Institute for the Study of Crime and Law Enforcement (NSCR), Amsterdam, The Netherlands
| | - Steve van de Weijer
- Netherlands Institute for the Study of Crime and Law Enforcement (NSCR), Amsterdam, The Netherlands
| | - Dorret I Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; Amsterdam Reproduction and Development (AR&D) Research Institute, Amsterdam, The Netherlands.
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Lazebny OE, Kulikov AM, Butovskaya PR, Proshakov PA, Fokin AV, Butovskaya ML. Analysis of Aggressive Behavior in Young Russian Males Using 250 SNP Markers. RUSS J GENET+ 2020. [DOI: 10.1134/s1022795420080098] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
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Wagels L, Votinov M, Hüpen P, Jung S, Montag C, Habel U. Single-Dose of Testosterone and the MAOA VNTR Polymorphism Influence Emotional and Behavioral Responses in Men During a Non-social Frustration Task. Front Behav Neurosci 2020; 14:93. [PMID: 32670031 PMCID: PMC7330109 DOI: 10.3389/fnbeh.2020.00093] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Accepted: 06/15/2020] [Indexed: 12/22/2022] Open
Abstract
Previous studies suggest that testosterone and several neurotransmitters might interactively influence human aggression. The current study aimed to test potential interactions of a genetic variation linked to the catabolism of serotonin, dopamine, and norepinephrine and exogenous testosterone on the reaction towards non-social provocation. In total, 146 male participants were genotyped for a prominent polymorphism of the monoamine oxidase A (MAOA) gene resulting in a short and long variant. Participants completed a non-social frustration task after receiving either testosterone or a placebo gel in a double-blind set-up. Participants performed a non-social frustration task, where they had to direct a virtually moving ball into a barrel by pulling a joystick (neutral block). During a frustration block, the joystick repeatedly did not respond to participants' reactions thereby causing failed trials to which participants reacted with increased anger and stronger pulling of the joystick. We analyzed the effect of testosterone administration on emotion and behavior in individuals who either carried a low (L) or high (H) activity MAOA variant. Testosterone administration increased provocation-related self-reported anger and abolished the association between trait aggression and joystick deflection in the frustration block. In MAOA-H carriers endogenous testosterone levels at baseline were associated with increased joystick deflection in both blocks. There was, however, no interaction of testosterone administration and genotype. Although preliminary, the results rather indicate independent influences of exogenous testosterone administration and MAOA, but support an interaction of endogenous testosterone levels and MAOA genetics in a frustration task. The administration of testosterone seems to act on the subjective emotional experience in a provoking situation, while endogenous testosterone levels increased pulling impulses only in carriers of the MAOA-H variant.
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Affiliation(s)
- Lisa Wagels
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, Uniklinik, RWTH Aachen, Aachen, Germany.,Institute of Neuroscience and Medicine 10, Research Center Juelich, Juelich, Germany
| | - Mikhail Votinov
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, Uniklinik, RWTH Aachen, Aachen, Germany.,Institute of Neuroscience and Medicine 10, Research Center Juelich, Juelich, Germany
| | - Philippa Hüpen
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, Uniklinik, RWTH Aachen, Aachen, Germany
| | - Sonja Jung
- Department of Molecular Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany
| | - Christian Montag
- Department of Molecular Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany
| | - Ute Habel
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, Uniklinik, RWTH Aachen, Aachen, Germany.,Institute of Neuroscience and Medicine 10, Research Center Juelich, Juelich, Germany
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Genomics of human aggression: current state of genome-wide studies and an automated systematic review tool. Psychiatr Genet 2020; 29:170-190. [PMID: 31464998 DOI: 10.1097/ypg.0000000000000239] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
There are substantial differences, or variation, between humans in aggression, with its molecular genetic basis mostly unknown. This review summarizes knowledge on the genetic contribution to variation in aggression with the following three foci: (1) a comprehensive overview of reviews on the genetics of human aggression, (2) a systematic review of genome-wide association studies (GWASs), and (3) an automated tool for the selection of literature based on supervised machine learning. The phenotype definition 'aggression' (or 'aggressive behaviour', or 'aggression-related traits') included anger, antisocial behaviour, conduct disorder, and oppositional defiant disorder. The literature search was performed in multiple databases, manually and using a novel automated selection tool, resulting in 18 reviews and 17 GWASs of aggression. Heritability estimates of aggression in children and adults are around 50%, with relatively small fluctuations around this estimate. In 17 GWASs, 817 variants were reported as suggestive (P ≤ 1.0E), including 10 significant associations (P ≤ 5.0E). Nominal associations (P ≤ 1E) were found in gene-based tests for genes involved in immune, endocrine, and nervous systems. Associations were not replicated across GWASs. A complete list of variants and their position in genes and chromosomes are available online. The automated literature search tool produced literature not found by regular search strategies. Aggression in humans is heritable, but its genetic basis remains to be uncovered. No sufficiently large GWASs have been carried out yet. With increases in sample size, we expect aggression to behave like other complex human traits for which GWAS has been successful.
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Clukay CJ, Dajani R, Hadfield K, Quinlan J, Panter-Brick C, Mulligan CJ. Association of MAOA genetic variants and resilience with psychosocial stress: A longitudinal study of Syrian refugees. PLoS One 2019; 14:e0219385. [PMID: 31314763 PMCID: PMC6636744 DOI: 10.1371/journal.pone.0219385] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Accepted: 06/22/2019] [Indexed: 01/10/2023] Open
Abstract
Early childhood trauma can have profound and lifelong effects on adult mental health and psychosocial wellbeing. Nevertheless, responses to trauma are highly variable. Genetic variants may help explain variation in responses to trauma by identifying alleles that associate with changes in mental health measures. Protective factors, such as resilience, likely also play an important role in responses to trauma. The effects of genetic variants, in combination with protective factors, on psychosocial health are not well understood, particularly in non-Western contexts. In this study, we test the relative influence of genetic variants of monoamine oxidase A (MAOA, a gene proposed to influence the impact of childhood trauma on adult violence and antisocial behavior), levels of resilience, and exposure to traumatic events on psychosocial stress and mental health trajectories over time. We use data from a cohort of 12-18-year-old Syrian refugees who were forcibly displaced to neighboring Jordan (n = 399). DNA samples and survey data on trauma exposure, resilience (CYRM-12), and psychosocial stress were collected at three time points: baseline, ~13 weeks, and ~48 weeks. Using multilevel models, we identified an association of MAOA variant, in males only, with symptom scores of psychosocial stress on the Perceived Stress Scale (PSS) over time (p = 8.1 x 10−4). We also found that resilience is strongly associated with PSS (p = 7.9 x 10−9), underscoring the importance of protective factors in influencing levels of psychosocial stress. Furthermore, there was an additive effect wherein the sharpest reductions in perceived psychosocial stress are seen in low-activity MAOA males with low trauma exposure or high resilience levels. Our results highlight the value of studies that integrate genetic and psychosocial factors to better understand complex phenotypes, such as responses to trauma in contexts of high trauma exposure.
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Affiliation(s)
- Christopher J. Clukay
- Department of Anthropology, University of Florida, Gainesville, FL, United States of America
- Genetics Institute, University of Florida, Gainesville, FL, United States of America
| | - Rana Dajani
- Department of Biology and Biotechnology, Hashemite University, Zarqa, Jordan
| | - Kristin Hadfield
- School of Biological and Chemical Sciences, Queen Mary, University of London, London, England
| | - Jacklyn Quinlan
- Department of Anthropology, University of Florida, Gainesville, FL, United States of America
- Genetics Institute, University of Florida, Gainesville, FL, United States of America
| | | | - Connie J. Mulligan
- Department of Anthropology, University of Florida, Gainesville, FL, United States of America
- Genetics Institute, University of Florida, Gainesville, FL, United States of America
- * E-mail:
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10
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Fairchild G, Hawes DJ, Frick PJ, Copeland WE, Odgers CL, Franke B, Freitag CM, De Brito SA. Conduct disorder. Nat Rev Dis Primers 2019; 5:43. [PMID: 31249310 DOI: 10.1038/s41572-019-0095-y] [Citation(s) in RCA: 161] [Impact Index Per Article: 32.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/17/2019] [Indexed: 02/06/2023]
Abstract
Conduct disorder (CD) is a common and highly impairing psychiatric disorder that usually emerges in childhood or adolescence and is characterized by severe antisocial and aggressive behaviour. It frequently co-occurs with attention-deficit/hyperactivity disorder (ADHD) and often leads to antisocial personality disorder in adulthood. CD affects ~3% of school-aged children and is twice as prevalent in males than in females. This disorder can be subtyped according to age at onset (childhood-onset versus adolescent-onset) and the presence or absence of callous-unemotional traits (deficits in empathy and guilt). The aetiology of CD is complex, with contributions of both genetic and environmental risk factors and different forms of interplay among the two (gene-environment interaction and correlation). In addition, CD is associated with neurocognitive impairments; smaller grey matter volume in limbic regions such as the amygdala, insula and orbitofrontal cortex, and functional abnormalities in overlapping brain circuits responsible for emotion processing, emotion regulation and reinforcement-based decision-making have been reported. Lower hypothalamic-pituitary-adrenal axis and autonomic reactivity to stress has also been reported. Management of CD primarily involves parent-based or family-based psychosocial interventions, although stimulants and atypical antipsychotics are sometimes used, especially in individuals with comorbid ADHD.
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Affiliation(s)
| | - David J Hawes
- School of Psychology, University of Sydney, Sydney, New South Wales, Australia
| | - Paul J Frick
- Department of Psychology, Louisiana State University, Baton Rouge, LA, USA and Institute for Learning Science and Teacher Education, Australian Catholic University, Brisbane, Queensland, Australia
| | | | - Candice L Odgers
- Department of Psychological Science, School of Social Ecology, University of California, Irvine, CA, USA
| | - Barbara Franke
- Departments of Human Genetics and Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Christine M Freitag
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
| | - Stephane A De Brito
- School of Psychology and Centre for Human Brain Health, University of Birmingham, Birmingham, UK
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11
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Langevin S, Mascheretti S, Côté SM, Vitaro F, Boivin M, Turecki G, Tremblay RE, Ouellet-Morin I. Cumulative risk and protection effect of serotonergic genes on male antisocial behaviour: results from a prospective cohort assessed in adolescence and early adulthood. Br J Psychiatry 2019; 214:137-145. [PMID: 30774060 DOI: 10.1192/bjp.2018.251] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
BACKGROUND Heritability of antisocial behaviour is estimated at approximately 50% and involves multiple genes.AimsTo investigate the cumulative genetic effects of 116 single nucleotide polymorphisms mapping to 11 candidate serotonergic genes and antisocial behaviours, in adolescence and in early adulthood. METHOD Participants were 410 male members of the Quebec Longitudinal Study of Kindergarten Children, a population-based cohort followed up prospectively from age 6 to age 23. The serotonergic genes were selected based on known physiological processes and prior associations with antisocial behaviours. Antisocial behaviours were self-reported and assessed by using semi-structured interviews in adolescence and in adulthood. RESULTS Cumulative, haplotype-based contributions of serotonergic genes conferring risk and protection for antisocial behaviours were detected by using multilocus genetic profile risk scores (MGPRSs) and multilocus genetic profile protection scores (MGPPSs). Cumulatively, haplotype-based MGPRSs and MGPPSs contributed to 9.6, 8.5 and 15.2% of the variance in general delinquency in adolescence, property/violent crimes in early adulthood and physical partner violence in early adulthood, respectively. CONCLUSIONS This study extends previous research by showing a cumulative effect of multiple haplotypes conferring risk and protection to antisocial behaviours in adolescence and early adulthood. The findings further support the relevance of concomitantly considering multiple serotonergic polymorphisms to better understand the genetic aetiology of antisocial behaviours. Future studies should investigate the interplay between risk and protective haplotype-based multilocus genetic profile scores with the environment. DECLARATION OF INTEREST I.O.-M. holds a Canada Research Chair in the developmental origins of vulnerability and resilience.
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Affiliation(s)
- Stephanie Langevin
- School of Criminology,University of Montreal and The Montreal Mental Health University Institute,Canada
| | - Sara Mascheretti
- Centre-affiliated Researcher,Child Psychopathology Unit,Scientific Institute, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Eugenio Medea,Italy
| | - Sylvana M Côté
- Full Professor,School of Public Health, University of Montreal, Canada and Bordeaux Population Health Inserm 1219, University of Bordeaux,France
| | - Frank Vitaro
- Full Professor,School of Psychoeducation,University of Montreal,Canada
| | - Michel Boivin
- Full Professor,School of Psychology, Laval University,Canada
| | - Gustavo Turecki
- Full Professor,McGill Group for Suicide Studies,Douglas Mental Health University Institute and McGill University,Canada
| | - Richard E Tremblay
- Emeritus Professor,Psychology Department,University of Montreal,Canadaand School of Public Health,University College Dublin,Ireland
| | - Isabelle Ouellet-Morin
- Associate Professor,School of Criminology,University of Montreal and The Montreal Mental Health University Institute,Canada
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12
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Zhang-James Y, Fernàndez-Castillo N, Hess JL, Malki K, Glatt SJ, Cormand B, Faraone SV. An integrated analysis of genes and functional pathways for aggression in human and rodent models. Mol Psychiatry 2019; 24:1655-1667. [PMID: 29858598 PMCID: PMC6274606 DOI: 10.1038/s41380-018-0068-7] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Revised: 03/04/2018] [Accepted: 04/03/2018] [Indexed: 11/12/2022]
Abstract
Human genome-wide association studies (GWAS), transcriptome analyses of animal models, and candidate gene studies have advanced our understanding of the genetic architecture of aggressive behaviors. However, each of these methods presents unique limitations. To generate a more confident and comprehensive view of the complex genetics underlying aggression, we undertook an integrated, cross-species approach. We focused on human and rodent models to derive eight gene lists from three main categories of genetic evidence: two sets of genes identified in GWAS studies, four sets implicated by transcriptome-wide studies of rodent models, and two sets of genes with causal evidence from online Mendelian inheritance in man (OMIM) and knockout (KO) mice reports. These gene sets were evaluated for overlap and pathway enrichment to extract their similarities and differences. We identified enriched common pathways such as the G-protein coupled receptor (GPCR) signaling pathway, axon guidance, reelin signaling in neurons, and ERK/MAPK signaling. Also, individual genes were ranked based on their cumulative weights to quantify their importance as risk factors for aggressive behavior, which resulted in 40 top-ranked and highly interconnected genes. The results of our cross-species and integrated approach provide insights into the genetic etiology of aggression.
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Affiliation(s)
- Yanli Zhang-James
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York, NY, USA.
| | - Noèlia Fernàndez-Castillo
- 0000 0004 1937 0247grid.5841.8Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Catalonia, Spain ,0000 0004 1791 1185grid.452372.5Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Madrid, Spain ,0000 0004 1937 0247grid.5841.8Institut de Biomedicina de la Universitat de Barcelona (IBUB), Catalonia, Spain ,Institut de Recerca Sant Joan de Déu (IR-SJD), Esplugues de Llobregat, Spain
| | - Jonathan L Hess
- 0000 0000 9159 4457grid.411023.5Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York, NY USA
| | - Karim Malki
- 0000 0001 2322 6764grid.13097.3cKing’s College London, MRC Social, Genetic and Developmental Psychiatry Centre at the Institute of Psychiatry, Psychology and Neuroscience (IOPPN), London, UK
| | - Stephen J Glatt
- 0000 0000 9159 4457grid.411023.5Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York, NY USA ,0000 0000 9159 4457grid.411023.5Department of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, New York, NY USA
| | - Bru Cormand
- 0000 0004 1937 0247grid.5841.8Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Catalonia, Spain ,0000 0004 1791 1185grid.452372.5Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Madrid, Spain ,0000 0004 1937 0247grid.5841.8Institut de Biomedicina de la Universitat de Barcelona (IBUB), Catalonia, Spain ,Institut de Recerca Sant Joan de Déu (IR-SJD), Esplugues de Llobregat, Spain
| | - Stephen V Faraone
- 0000 0000 9159 4457grid.411023.5Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York, NY USA ,0000 0000 9159 4457grid.411023.5Department of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, New York, NY USA ,0000 0004 1936 7443grid.7914.bK.G. Jebsen Centre for Research on Neuropsychiatric Disorders, University of Bergen, Bergen, Norway
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Tielbeek JJ, Barnes JC, Popma A, Polderman TJC, Lee JJ, Perry JRB, Posthuma D, Boutwell BB. Exploring the genetic correlations of antisocial behaviour and life history traits. BJPsych Open 2018; 4:467-470. [PMID: 30450226 PMCID: PMC6235975 DOI: 10.1192/bjo.2018.63] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2018] [Revised: 08/23/2018] [Accepted: 09/27/2018] [Indexed: 02/02/2023] Open
Abstract
UNLABELLED Prior evolutionary theory provided reason to suspect that measures of development and reproduction would be correlated with antisocial behaviours in human and non-human species. Behavioural genetics has revealed that most quantitative traits are heritable, suggesting that these phenotypic correlations may share genetic aetiologies. We use genome-wide association study data to estimate the genetic correlations between various measures of reproductive development (N = 52 776-318 863) and antisocial behaviour (N = 31 968). Our genetic correlation analyses demonstrate that alleles associated with higher reproductive output (number of children ever born, r g = 0.50, P = 0.0065) were positively correlated with alleles associated with antisocial behaviour, whereas alleles associated with more delayed reproductive onset (age at first birth, r g = -0.64, P = 0.0008) were negatively associated with alleles linked to antisocial behaviour. Ultimately, these findings coalesce with evolutionary theories suggesting that increased antisocial behaviours may partly represent a faster life history approach, which may be significantly calibrated by genes. DECLARATION OF INTEREST None.
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Affiliation(s)
- Jorim J Tielbeek
- Postdoctoral Researcher, Department of Complex Trait Genomics, VU University Amsterdam, the Netherlands
| | - J C Barnes
- Associate Professor, School of Criminal Justice, University of Cincinnati, USA
| | - Arne Popma
- Professor, Institute for Criminal Law and Criminology, Leiden University, the Netherlands
| | - Tinca J C Polderman
- Assistant Professor, Department of Complex Trait Genomics, VU University Amsterdam, the Netherlands
| | - James J Lee
- Assistant Professor, Department of Psychology, University of Minnesota, USA
| | - John R B Perry
- Doctor, School of Clinical Medicine, University of Cambridge, UK
| | - Danielle Posthuma
- Professor, Department of Complex Trait Genomics, VU University Amsterdam, the Netherlands
| | - Brian B Boutwell
- Associate Professor of Criminology and Criminal Justice, Department of Epidemiology and Department of Family and Community Medicine, Saint Louis University, USA
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14
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Braudt DB. Sociogenomics in the 21 st Century: An Introduction to the History and Potential of Genetically-informed Social Science. SOCIOLOGY COMPASS 2018; 12:e12626. [PMID: 30369963 PMCID: PMC6201284 DOI: 10.1111/soc4.12626] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2017] [Accepted: 06/11/2018] [Indexed: 06/08/2023]
Abstract
This article reviews research at the intersection of genetics and sociology and provides an introduction to the current data, methods, and theories used in sociogenomic research. To accomplish this, I review behavioral genetics models, candidate gene analysis, genome-wide complex trait analysis, and the use of polygenic scores (sometimes referred to as polygenic risk scores) in the study of complex human behaviors and traits. The information provided is meant to equip readers with the necessary tools to: (1) understand the methodology employed by each type of analysis, (2) intelligently interpret findings from sociogenomic research, and (3) understand the importance of sociologists in the ever-growing field of sociogenomics. To unify these three tasks, I rely on various examples from recent sociogenomic analyses of educational attainment focusing on social stratification and inequality.
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Affiliation(s)
- David B Braudt
- Department of Sociology, University of North Carolina at Chapel Hill
- Carolina Population Center, University of North Carolina at Chapel Hill
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15
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Davydova JD, Litvinov SS, Enikeeva RF, Malykh SB, Khusnutdinova EK. Recent advances in genetics of aggressive behavior. Vavilovskii Zhurnal Genet Selektsii 2018. [DOI: 10.18699/vj18.415] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
One of the most important problems of modern neurobiology and medicine is an understanding of the mechanisms of normal and pathological behavior of a person. Aggressive behavior is an integral part of the human psyche. However, environmental risk factors, mental illness and somatic diseases can lead to increased aggression to be the biological basis of antisocial behavior in a human society. An important role in development of aggressive behavior belongs to the hereditary factors that may be linked to abnormal functioning of neurotransmitter systems in the brain yet the underlying genetic mechanisms remain unclear, which is due to a large number of single nucleotide polymorphisms, insertions and deletions in the structure of genes that encode the components of the neurotransmitter systems. The most studied candidate genes for aggressive behavior are serotonergic (TPH1, TPH2, HTR2A, SLC6A4) and dopaminergic (DRD4, SLC6A3) system genes, as well as the serotonin or catecholamine metabolizing enzyme genes (COMT, MAOA). In addition, there is evidence that the hypothalamic-pituitary system genes (OXT, OXTR, AVPR1A, AVPR1B), the sex hormone receptors genes (ER1, AR), neurotrophin (BDNF) and neuronal apoptosis genes (CASP3, BAX) may also be involved in development of aggressive behavior. The results of Genome-Wide Association Studies (GWAS) have demonstrated that FYN, LRRTM4, NTM, CDH13, DYRK1A and other genes are involved in regulation of aggressive behavior. These and other evidence suggest that genetic predisposition to aggressive behavior may be a very complex process.
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Affiliation(s)
- J. D. Davydova
- Institute of Biochemistry and Genetics, Ufa Federal Research Centre of RAS
| | - S. S. Litvinov
- Institute of Biochemistry and Genetics, Ufa Federal Research Centre of RAS
| | - R. F. Enikeeva
- Institute of Biochemistry and Genetics, Ufa Federal Research Centre of RAS
| | - S. B. Malykh
- Psychological Institute, Russian Academy of Education
| | - E. K. Khusnutdinova
- Institute of Biochemistry and Genetics, Ufa Federal Research Centre of RAS; Department of Genetics and Fundamental Medicine, Bashkir State University
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16
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Salvatore JE, Dick DM. Genetic influences on conduct disorder. Neurosci Biobehav Rev 2018; 91:91-101. [PMID: 27350097 PMCID: PMC5183514 DOI: 10.1016/j.neubiorev.2016.06.034] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2016] [Revised: 05/22/2016] [Accepted: 06/22/2016] [Indexed: 01/08/2023]
Abstract
Conduct disorder (CD) is a moderately heritable psychiatric disorder of childhood and adolescence characterized by aggression toward people and animals, destruction of property, deceitfulness or theft, and serious violation of rules. Genome-wide scans using linkage and association methods have identified a number of suggestive genomic regions that are pending replication. A small number of candidate genes (e.g., GABRA2, MAOA, SLC6A4, AVPR1A) are associated with CD related phenotypes across independent studies; however, failures to replicate also exist. Studies of gene-environment interplay show that CD genetic predispositions also contribute to selection into higher-risk environments, and that environmental factors can alter the importance of CD genetic factors and differentially methylate CD candidate genes. The field's understanding of CD etiology will benefit from larger, adequately powered studies in gene identification efforts; the incorporation of polygenic approaches in gene-environment interplay studies; attention to the mechanisms of risk from genes to brain to behavior; and the use of genetically informative data to test quasi-causal hypotheses about purported risk factors.
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Affiliation(s)
- Jessica E Salvatore
- Department of Psychology and the Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, VCU PO Box 842018, 806 West Franklin Street, Richmond, VA 23284-2018, USA.
| | - Danielle M Dick
- Department of Psychology, African American Studies, and Human & Molecular Genetics, VCU PO Box 842509, Richmond, VA 23284-2509, USA
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17
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Tielbeek JJ, Johansson A, Polderman TJC, Rautiainen MR, Jansen P, Taylor M, Tong X, Lu Q, Burt AS, Tiemeier H, Viding E, Plomin R, Martin NG, Heath AC, Madden PAF, Montgomery G, Beaver KM, Waldman I, Gelernter J, Kranzler HR, Farrer LA, Perry JRB, Munafò M, LoParo D, Paunio T, Tiihonen J, Mous SE, Pappa I, de Leeuw C, Watanabe K, Hammerschlag AR, Salvatore JE, Aliev F, Bigdeli TB, Dick D, Faraone SV, Popma A, Medland SE, Posthuma D. Genome-Wide Association Studies of a Broad Spectrum of Antisocial Behavior. JAMA Psychiatry 2017; 74:1242-1250. [PMID: 28979981 PMCID: PMC6309228 DOI: 10.1001/jamapsychiatry.2017.3069] [Citation(s) in RCA: 100] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Importance Antisocial behavior (ASB) places a large burden on perpetrators, survivors, and society. Twin studies indicate that half of the variation in this trait is genetic. Specific causal genetic variants have, however, not been identified. Objectives To estimate the single-nucleotide polymorphism-based heritability of ASB; to identify novel genetic risk variants, genes, or biological pathways; to test for pleiotropic associations with other psychiatric traits; and to reevaluate the candidate gene era data through the Broad Antisocial Behavior Consortium. Design, Setting, and Participants Genome-wide association data from 5 large population-based cohorts and 3 target samples with genome-wide genotype and ASB data were used for meta-analysis from March 1, 2014, to May 1, 2016. All data sets used quantitative phenotypes, except for the Finnish Crime Study, which applied a case-control design (370 patients and 5850 control individuals). Main Outcome and Measures This study adopted relatively broad inclusion criteria to achieve a quantitative measure of ASB derived from multiple measures, maximizing the sample size over different age ranges. Results The discovery samples comprised 16 400 individuals, whereas the target samples consisted of 9381 individuals (all individuals were of European descent), including child and adult samples (mean age range, 6.7-56.1 years). Three promising loci with sex-discordant associations were found (8535 female individuals, chromosome 1: rs2764450, chromosome 11: rs11215217; 7772 male individuals, chromosome X, rs41456347). Polygenic risk score analyses showed prognostication of antisocial phenotypes in an independent Finnish Crime Study (2536 male individuals and 3684 female individuals) and shared genetic origin with conduct problems in a population-based sample (394 male individuals and 431 female individuals) but not with conduct disorder in a substance-dependent sample (950 male individuals and 1386 female individuals) (R2 = 0.0017 in the most optimal model, P = 0.03). Significant inverse genetic correlation of ASB with educational attainment (r = -0.52, P = .005) was detected. Conclusions and Relevance The Broad Antisocial Behavior Consortium entails the largest collaboration to date on the genetic architecture of ASB, and the first results suggest that ASB may be highly polygenic and has potential heterogeneous genetic effects across sex.
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Affiliation(s)
- Jorim J Tielbeek
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Neuroscience Campus Amsterdam, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Department of Child and Adolescent Psychiatry, VU University Medical Center, Amsterdam, the Netherlands
- QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
| | - Ada Johansson
- Department of Psychology and Speech-Language Pathology, University of Turku, Turku, Finland
- Department of Pharmacology, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Psychology, Faculty of Arts, Psychology, and Theology, Åbo Akademi University, Turku, Finland
| | - Tinca J C Polderman
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Neuroscience Campus Amsterdam, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Marja-Riitta Rautiainen
- National Institute for Health and Welfare, Helsinki, Finland
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, Kuopio
- Department of Psychiatry, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Philip Jansen
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Neuroscience Campus Amsterdam, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Michelle Taylor
- Medical Research Council (MRC) Integrative Epidemiology Unit, University of Bristol, Bristol, England
| | - Xiaoran Tong
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing
| | - Qing Lu
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing
| | - Alexandra S Burt
- Department of Psychology, Michigan State University, East Lansing
| | - Henning Tiemeier
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus Medical Center-Sophia Children's Hospital, Rotterdam, the Netherlands
- Department of Psychiatry, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Essi Viding
- Division of Psychology and Language Sciences, University College London, London, England
| | - Robert Plomin
- Division of Psychology and Language Sciences, University College London, London, England
| | - Nicholas G Martin
- QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
| | - Andrew C Heath
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
| | - Pamela A F Madden
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
| | - Grant Montgomery
- QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
| | - Kevin M Beaver
- College of Criminology and Criminal Justice, Florida State University, Tallahassee
- Center for Social and Humanities Research, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Irwin Waldman
- Psychology Department, Emory University, Atlanta, Georgia
| | - Joel Gelernter
- Division of Human Genetics, Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
- Veterans Affairs (VA) Connecticut Healthcare Center, New Haven
| | - Henry R Kranzler
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania
| | - Lindsay A Farrer
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, Massachusetts
| | - John R B Perry
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge, England
| | - Marcus Munafò
- Medical Research Council (MRC) Integrative Epidemiology Unit, University of Bristol, Bristol, England
| | - Devon LoParo
- Psychology Department, Emory University, Atlanta, Georgia
| | - Tiina Paunio
- National Institute for Health and Welfare, Helsinki, Finland
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, Kuopio
- Department of Psychiatry, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Jari Tiihonen
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, Kuopio, Finland
| | - Sabine E Mous
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus Medical Center-Sophia Children's Hospital, Rotterdam, the Netherlands
| | - Irene Pappa
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus Medical Center-Sophia Children's Hospital, Rotterdam, the Netherlands
| | - Christiaan de Leeuw
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Neuroscience Campus Amsterdam, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Kyoko Watanabe
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Neuroscience Campus Amsterdam, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Anke R Hammerschlag
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Neuroscience Campus Amsterdam, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Jessica E Salvatore
- Department of Psychology and the Virginia Institute for Psychiatric and Behavioural Genetics, Virginia Commonwealth University, Richmond
| | - Fazil Aliev
- Department of African American Studies, Virginia Commonwealth University, Richmond
- Faculty of Business, Karabuk University, Karabuk, Turkey
| | - Tim B Bigdeli
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond
| | - Danielle Dick
- Department of Psychology, African American Studies, and Human & Molecular Genetics, Virginia Commonwealth University, Richmond
| | - Stephen V Faraone
- Department of Psychiatry and Behavioral Sciences, Psychiatric Genetic Epidemiology and Neurobiology Laboratory, SUNY Upstate Medical University, Syracuse, New York
- Department of Neuroscience and Physiology, Psychiatric Genetic Epidemiology and Neurobiology Laboratory, SUNY Upstate Medical University, Syracuse, New York
| | - Arne Popma
- Department of Child and Adolescent Psychiatry, VU University Medical Center, Amsterdam, the Netherlands
| | - Sarah E Medland
- QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
| | - Danielle Posthuma
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Neuroscience Campus Amsterdam, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Department of Clinical Genetics, Neuroscience Campus Amsterdam, Vrije Universiteit Medical Center, Amsterdam, the Netherlands
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18
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Assessing the interplay between multigenic and environmental influences on adolescent to adult pathways of antisocial behaviors. Dev Psychopathol 2017; 29:1947-1967. [DOI: 10.1017/s0954579417001511] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
AbstractThe current investigation utilized a developmental psychopathology approach to test the hypothesis that multigenic (i.e., dopaminergic and serotonergic genes) and multienvironmental factors interactively contribute to developmental pathways of antisocial behavior (ASB). A sample of 8,834 Caucasian individuals from the National Longitudinal Study of Adolescent to Adult Health (Add Health) were used to (a) examine the developmental pathways of ASB from age 13 to 32 using growth mixture modeling, (b) compute weighted multigenic risk scores (Add Health MRS) for ASB from six well-characterized polymorphisms in dopamine and serotonin genes, and (c) test the interaction between the Add Health MRS and a measures of support (incorporating indicators of both positive and negative support from parents and schools). Four pathways of adolescent to adult ASB emerged from the growth mixture models: low, adolescence-peaked, high decline, and persistent. Add Health MRS predicted the persistent ASB pathway, but not other ASB pathways. Males with high Add Health MRS, but not low MRS, had significantly greater odds of being in the adolescence-peaked pathway relative to the low pathway at low levels of school connectedness. Nonfamilial environmental influences during adolescence may have a cumulative impact on the development of ASB, particularly among males with greater underlying genetic risks.
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Chang H, Yan Q, Tang J, Huang J, Zhang Y, Ma Y, Ye X, Tang L, Wu L, Wu C, Yu Y. Possible association between SIRT1 single nucleotide polymorphisms and predisposition to antisocial personality traits in Chinese adolescents. Sci Rep 2017; 7:1099. [PMID: 28439078 PMCID: PMC5430697 DOI: 10.1038/s41598-017-01208-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2016] [Accepted: 03/20/2017] [Indexed: 01/02/2023] Open
Abstract
Accumulating evidence suggests an association between the SIRT1 gene and human psychiatric disorders. The aim of the study was to investigate the association between SIRT1 and predisposition to antisocial personality traits (ASP) in Chinese adolescents. Participants consisted of 327 controls and 261 juvenile offenders who were diagnosed with predisposition to ASP according to the Personality Diagnostic Questionnaire. Four tag single nucleotide polymorphisms (tagSNPs) of SIRT1, namely rs12778366, rs7896005, rs10823112, and rs4746720, were genotyped. Association analysis between individual SNPs and ASP risk revealed the CC genotype of rs4746720 to be significantly associated with reduced risk of ASP (OR = 0.51, 95% CI = 0.33-0.77, adjusted P = 0.007). Haplotype analysis showed the TAAC haplotype was associated with reduced susceptibility to ASP (OR = 0.72, 95% CI = 0.57-0.91, P = 0.005). Moreover, rs4746720 variants were found to not only have a direct impact on ASP susceptibility but also modulate the effect of alcohol consumption (Y = 0.022X + 0.431 vs. Y = -0.066X + 0.387). The present study is the first to report a significant association between SIRT1 polymorphisms and ASP in adolescents. This finding is expected to aid in the development of effective interventions for this socially and personally costly disorder.
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Affiliation(s)
- Hongjuan Chang
- The Department of Child, Adolescence and Woman Health Care, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qiuge Yan
- The Department of Child, Adolescence and Woman Health Care, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jie Tang
- Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Juan Huang
- The Department of Child, Adolescence and Woman Health Care, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yanmei Zhang
- The Department of Child, Adolescence and Woman Health Care, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuqiao Ma
- The Department of Child, Adolescence and Woman Health Care, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaozhou Ye
- The Department of Child, Adolescence and Woman Health Care, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lina Tang
- The Department of Child, Adolescence and Woman Health Care, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Linguo Wu
- The Department of Child, Adolescence and Woman Health Care, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chunxia Wu
- The Department of Child, Adolescence and Woman Health Care, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yizhen Yu
- The Department of Child, Adolescence and Woman Health Care, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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20
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Bagshaw ATM, Horwood LJ, Fergusson DM, Gemmell NJ, Kennedy MA. Microsatellite polymorphisms associated with human behavioural and psychological phenotypes including a gene-environment interaction. BMC MEDICAL GENETICS 2017; 18:12. [PMID: 28158988 PMCID: PMC5291968 DOI: 10.1186/s12881-017-0374-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/16/2016] [Accepted: 01/25/2017] [Indexed: 02/05/2023]
Abstract
Background The genetic and environmental influences on human personality and behaviour are a complex matter of ongoing debate. Accumulating evidence indicates that short tandem repeats (STRs) in regulatory regions are good candidates to explain heritability not accessed by genome-wide association studies. Methods We tested for associations between the genotypes of four selected repeats and 18 traits relating to personality, behaviour, cognitive ability and mental health in a well-studied longitudinal birth cohort (n = 458-589) using one way analysis of variance. The repeats were a highly conserved poly-AC microsatellite in the upstream promoter region of the T-box brain 1 (TBR1) gene and three previously studied STRs in the activating enhancer-binding protein 2-beta (AP2-β) and androgen receptor (AR) genes. Where significance was found we used multiple regression to assess the influence of confounding factors. Results Carriers of the shorter, most common, allele of the AR gene’s GGN microsatellite polymorphism had fewer anxiety-related symptoms, which was consistent with previous studies, but in our study this was not significant following Bonferroni correction. No associations with two repeats in the AP2-β gene withstood this correction. A novel finding was that carriers of the minor allele of the TBR1 AC microsatellite were at higher risk of conduct problems in childhood at age 7-9 (p = 0.0007, which did pass Bonferroni correction). Including maternal smoking during pregnancy (MSDP) in models controlling for potentially confounding influences showed that an interaction between TBR1 genotype and MSDP was a significant predictor of conduct problems in childhood and adolescence (p < 0.001), and of self-reported criminal behaviour up to age 25 years (p ≤ 0.02). This interaction remained significant after controlling for possible confounders including maternal age at birth, socio-economic status and education, and offspring birth weight. Conclusions The potential functional importance of the TBR1 gene’s promoter microsatellite deserves further investigation. Our results suggest that it participates in a gene-environment interaction with MDSP and antisocial behaviour. However, previous evidence that mothers who smoke during pregnancy carry genes for antisocial behaviour suggests that epistasis may influence the interaction. Electronic supplementary material The online version of this article (doi:10.1186/s12881-017-0374-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Andrew T M Bagshaw
- Department of Pathology, University of Otago, Christchurch, PO Box 4345, Christchurch, New Zealand.
| | - L John Horwood
- Department of Psychological Medicine, University of Otago, Christchurch, New Zealand
| | - David M Fergusson
- Department of Psychological Medicine, University of Otago, Christchurch, New Zealand
| | - Neil J Gemmell
- Department of Anatomy, University of Otago, Dunedin, New Zealand.,Gravida - National Centre for Growth and Development, University of Otago, Dunedin, New Zealand
| | - Martin A Kennedy
- Department of Pathology, University of Otago, Christchurch, PO Box 4345, Christchurch, New Zealand
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21
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Genetic and Environmental Structure of DSM-IV Criteria for Antisocial Personality Disorder: A Twin Study. Behav Genet 2017; 47:265-277. [PMID: 28108863 DOI: 10.1007/s10519-016-9833-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2016] [Accepted: 12/23/2016] [Indexed: 10/20/2022]
Abstract
Results from previous studies on DSM-IV and DSM-5 Antisocial Personality Disorder (ASPD) have suggested that the construct is etiologically multidimensional. To our knowledge, however, the structure of genetic and environmental influences in ASPD has not been examined using an appropriate range of biometric models and diagnostic interviews. The 7 ASPD criteria (section A) were assessed in a population-based sample of 2794 Norwegian twins by a structured interview for DSM-IV personality disorders. Exploratory analyses were conducted at the phenotypic level. Multivariate biometric models, including both independent and common pathways, were compared. A single phenotypic factor was found, and the best-fitting biometric model was a single-factor common pathway model, with common-factor heritability of 51% (95% CI 40-67%). In other words, both genetic and environmental correlations between the ASPD criteria could be accounted for by a single common latent variable. The findings support the validity of ASPD as a unidimensional diagnostic construct.
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22
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Mann FD, Engelhardt L, Briley DA, Grotzinger AD, Patterson MW, Tackett JL, Strathan DB, Heath A, Lynskey M, Slutske W, Martin NG, Tucker-Drob EM, Harden KP. Sensation seeking and impulsive traits as personality endophenotypes for antisocial behavior: Evidence from two independent samples. PERSONALITY AND INDIVIDUAL DIFFERENCES 2017; 105:30-39. [PMID: 28824215 PMCID: PMC5560504 DOI: 10.1016/j.paid.2016.09.018] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Sensation seeking and impulsivity are personality traits that are correlated with risk for antisocial behavior (ASB). This paper uses two independent samples of twins to (a) test the extent to which sensation seeking and impulsivity statistically mediate genetic influence on ASB, and (b) compare this to genetic influences accounted for by other personality traits. In Sample 1, delinquent behavior, as well as impulsivity, sensation seeking and Big Five personality traits, were measured in adolescent twins from the Texas Twin Project. In Sample 2, adult twins from the Australian Twin Registry responded to questionnaires that assessed individual differences in Eysenck's and Cloninger's personality dimensions, and a structured telephone interview that asked participants to retrospectively report DSM-defined symptoms of conduct disorder. Bivariate quantitative genetic models were used to identify genetic overlap between personality traits and ASB. Across both samples, novelty/sensation seeking and impulsive traits accounted for larger portions of genetic variance in ASB than other personality traits. We discuss whether sensation seeking and impulsive personality are causal endophenotypes for ASB, or merely index genetic liability for ASB.
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Affiliation(s)
- Frank D. Mann
- Department of Psychology, University of Texas at Austin, Austin, TX, United States
| | - Laura Engelhardt
- Department of Psychology, University of Texas at Austin, Austin, TX, United States
| | - Daniel A. Briley
- Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL, United States
| | - Andrew D. Grotzinger
- Department of Psychology, University of Texas at Austin, Austin, TX, United States
| | - Megan W. Patterson
- Department of Psychology, University of Texas at Austin, Austin, TX, United States
| | - Jennifer L. Tackett
- Department of Psychology, Northwestern University, Evanston, IL, United States
| | - Dixie B. Strathan
- Faculty of Arts and Business, University of the Sunshine Coast, Sippy Downs, Queensland, Australia
| | - Andrew Heath
- Psychiatry, Washington University School of Medicine, St Louis, MI, United States
| | | | - Wendy Slutske
- Department of Psychological Sciences, University of Missouri, Columbia, MO, United States
| | - Nicholas G. Martin
- Genetic Epidemiology, Molecular Epidemiology and Neurogenetics Laboratories, Queensland Institute of Medial Research, Brisbane, Queensland, Australia
| | - Elliot M. Tucker-Drob
- Department of Psychology, University of Texas at Austin, Austin, TX, United States
- Population Research Center, University of Texas at Austin, Austin, TX, United States
| | - K. Paige Harden
- Department of Psychology, University of Texas at Austin, Austin, TX, United States
- Population Research Center, University of Texas at Austin, Austin, TX, United States
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23
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Liu H, Guo G. Opportunities and challenges of big data for the social sciences: The case of genomic data. SOCIAL SCIENCE RESEARCH 2016; 59:13-22. [PMID: 27480368 PMCID: PMC5480284 DOI: 10.1016/j.ssresearch.2016.04.016] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2015] [Revised: 04/08/2016] [Accepted: 04/13/2016] [Indexed: 05/04/2023]
Abstract
In this paper, we draw attention to one unique and valuable source of big data, genomic data, by demonstrating the opportunities they provide to social scientists. We discuss different types of large-scale genomic data and recent advances in statistical methods and computational infrastructure used to address challenges in managing and analyzing such data. We highlight how these data and methods can be used to benefit social science research.
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Affiliation(s)
- Hexuan Liu
- Department of Sociology, The University of North Carolina at Chapel Hill, USA; Carolina Population Center, The University of North Carolina at Chapel Hill, USA; School of Criminal Justice, The University of Cincinnati, USA.
| | - Guang Guo
- Department of Sociology, The University of North Carolina at Chapel Hill, USA; Carolina Center for Genome Sciences, The University of North Carolina at Chapel Hill, USA; Carolina Population Center, The University of North Carolina at Chapel Hill, USA
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24
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Malki K, Du Rietz E, Crusio WE, Pain O, Paya-Cano J, Karadaghi RL, Sluyter F, de Boer SF, Sandnabba K, Schalkwyk LC, Asherson P, Tosto MG. Transcriptome analysis of genes and gene networks involved in aggressive behavior in mouse and zebrafish. Am J Med Genet B Neuropsychiatr Genet 2016; 171:827-38. [PMID: 27090961 DOI: 10.1002/ajmg.b.32451] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2015] [Accepted: 04/01/2016] [Indexed: 01/01/2023]
Abstract
Despite moderate heritability estimates, the molecular architecture of aggressive behavior remains poorly characterized. This study compared gene expression profiles from a genetic mouse model of aggression with zebrafish, an animal model traditionally used to study aggression. A meta-analytic, cross-species approach was used to identify genomic variants associated with aggressive behavior. The Rankprod algorithm was used to evaluated mRNA differences from prefrontal cortex tissues of three sets of mouse lines (N = 18) selectively bred for low and high aggressive behavior (SAL/LAL, TA/TNA, and NC900/NC100). The same approach was used to evaluate mRNA differences in zebrafish (N = 12) exposed to aggressive or non-aggressive social encounters. Results were compared to uncover genes consistently implicated in aggression across both studies. Seventy-six genes were differentially expressed (PFP < 0.05) in aggressive compared to non-aggressive mice. Seventy genes were differentially expressed in zebrafish exposed to a fight encounter compared to isolated zebrafish. Seven genes (Fos, Dusp1, Hdac4, Ier2, Bdnf, Btg2, and Nr4a1) were differentially expressed across both species 5 of which belonging to a gene-network centred on the c-Fos gene hub. Network analysis revealed an association with the MAPK signaling cascade. In human studies HDAC4 haploinsufficiency is a key genetic mechanism associated with brachydactyly mental retardation syndrome (BDMR), which is associated with aggressive behaviors. Moreover, the HDAC4 receptor is a drug target for valproic acid, which is being employed as an effective pharmacological treatment for aggressive behavior in geriatric, psychiatric, and brain-injury patients. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Karim Malki
- King's College London, Social, Genetic and Developmental Psychiatry Centre (MRC), Institute of Psychiatry, Psychology and Neuroscience, United Kingdom
| | - Ebba Du Rietz
- King's College London, Social, Genetic and Developmental Psychiatry Centre (MRC), Institute of Psychiatry, Psychology and Neuroscience, United Kingdom
| | - Wim E Crusio
- University of Bordeaux, Aquitaine Institute for Cognitive and Integrative Neuroscience, Bordeaux, France.,CNRS, Aquitaine Institute for Cognitive and Integrative Neuroscience, Bordeaux, France
| | - Oliver Pain
- Centre of Brain and Cognitive Development, Birkbeck, University of London, United Kingdom.,Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Jose Paya-Cano
- King's College London, Social, Genetic and Developmental Psychiatry Centre (MRC), Institute of Psychiatry, Psychology and Neuroscience, United Kingdom
| | - Rezhaw L Karadaghi
- King's College London, Social, Genetic and Developmental Psychiatry Centre (MRC), Institute of Psychiatry, Psychology and Neuroscience, United Kingdom
| | - Frans Sluyter
- King's College London, Social, Genetic and Developmental Psychiatry Centre (MRC), Institute of Psychiatry, Psychology and Neuroscience, United Kingdom
| | - Sietse F de Boer
- Groningen Institute for Evolutionary LifeSciences (GELIFES), University of Groningen, Groningen, The Netherlands
| | - Kenneth Sandnabba
- Faculty of Arts, Psychology and Theology, Åbo Akademi University, Turku, Finland
| | - Leonard C Schalkwyk
- School of Biological Sciences, University of Essex, Colchester, United Kingdom
| | - Philip Asherson
- King's College London, Social, Genetic and Developmental Psychiatry Centre (MRC), Institute of Psychiatry, Psychology and Neuroscience, United Kingdom
| | - Maria Grazia Tosto
- King's College London, Social, Genetic and Developmental Psychiatry Centre (MRC), Institute of Psychiatry, Psychology and Neuroscience, United Kingdom.,Laboratory for Cognitive Investigations and Behavioural Genetics, Tomsk State University, Tomsk, Russia
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25
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Rautiainen MR, Paunio T, Repo-Tiihonen E, Virkkunen M, Ollila HM, Sulkava S, Jolanki O, Palotie A, Tiihonen J. Genome-wide association study of antisocial personality disorder. Transl Psychiatry 2016; 6:e883. [PMID: 27598967 PMCID: PMC5048197 DOI: 10.1038/tp.2016.155] [Citation(s) in RCA: 74] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2015] [Revised: 06/20/2016] [Accepted: 07/16/2016] [Indexed: 01/05/2023] Open
Abstract
The pathophysiology of antisocial personality disorder (ASPD) remains unclear. Although the most consistent biological finding is reduced grey matter volume in the frontal cortex, about 50% of the total liability to developing ASPD has been attributed to genetic factors. The contributing genes remain largely unknown. Therefore, we sought to study the genetic background of ASPD. We conducted a genome-wide association study (GWAS) and a replication analysis of Finnish criminal offenders fulfilling DSM-IV criteria for ASPD (N=370, N=5850 for controls, GWAS; N=173, N=3766 for controls and replication sample). The GWAS resulted in suggestive associations of two clusters of single-nucleotide polymorphisms at 6p21.2 and at 6p21.32 at the human leukocyte antigen (HLA) region. Imputation of HLA alleles revealed an independent association with DRB1*01:01 (odds ratio (OR)=2.19 (1.53-3.14), P=1.9 × 10(-5)). Two polymorphisms at 6p21.2 LINC00951-LRFN2 gene region were replicated in a separate data set, and rs4714329 reached genome-wide significance (OR=1.59 (1.37-1.85), P=1.6 × 10(-9)) in the meta-analysis. The risk allele also associated with antisocial features in the general population conditioned for severe problems in childhood family (β=0.68, P=0.012). Functional analysis in brain tissue in open access GTEx and Braineac databases revealed eQTL associations of rs4714329 with LINC00951 and LRFN2 in cerebellum. In humans, LINC00951 and LRFN2 are both expressed in the brain, especially in the frontal cortex, which is intriguing considering the role of the frontal cortex in behavior and the neuroanatomical findings of reduced gray matter volume in ASPD. To our knowledge, this is the first study showing genome-wide significant and replicable findings on genetic variants associated with any personality disorder.
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Affiliation(s)
- M-R Rautiainen
- National Institute for Health and Welfare, Department of Health, Helsinki, Finland,Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, Kuopio, Finland,Department of Psychiatry, University of Helsinki, Helsinki, Finland,Department of Psychiatry, Helsinki University Hospital, Helsinki, Finland
| | - T Paunio
- National Institute for Health and Welfare, Department of Health, Helsinki, Finland,Department of Psychiatry, University of Helsinki, Helsinki, Finland,Department of Psychiatry, Helsinki University Hospital, Helsinki, Finland,Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland,National Institute for Health and Welfare, Department of Health, PO Box 30, Helsinki FI-00271, FinlandE-mail:
| | - E Repo-Tiihonen
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, Kuopio, Finland
| | - M Virkkunen
- Department of Psychiatry, University of Helsinki, Helsinki, Finland,Department of Psychiatry, Helsinki University Hospital, Helsinki, Finland
| | - H M Ollila
- National Institute for Health and Welfare, Department of Health, Helsinki, Finland,Stanford University Center for Sleep Sciences, Palo Alto, CA, USA
| | - S Sulkava
- National Institute for Health and Welfare, Department of Health, Helsinki, Finland,Department of Psychiatry, University of Helsinki, Helsinki, Finland,Department of Psychiatry, Helsinki University Hospital, Helsinki, Finland
| | - O Jolanki
- Stanford University Center for Sleep Sciences, Palo Alto, CA, USA
| | - A Palotie
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland,Wellcome Trust Sanger Institute, Hinxton, UK,Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA,Psychiatric and Neurodevelopmental Genetics Unit, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - J Tiihonen
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, Kuopio, Finland,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden,Karolinska Institutet, Department of Clinical Neuroscience, Byggnad R5, Stockholm S-171 76, Sweden. E-mail:
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26
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Li Z, Zheng M, Abdalla BA, Zhang Z, Xu Z, Ye Q, Xu H, Luo W, Nie Q, Zhang X. Genome-wide association study of aggressive behaviour in chicken. Sci Rep 2016; 6:30981. [PMID: 27485826 PMCID: PMC4971532 DOI: 10.1038/srep30981] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2016] [Accepted: 07/12/2016] [Indexed: 11/09/2022] Open
Abstract
In the poultry industry, aggressive behaviour is a large animal welfare issue all over the world. To date, little is known about the underlying genetics of the aggressive behaviour. Here, we performed a genome-wide association study (GWAS) to explore the genetic mechanism associated with aggressive behaviour in chickens. The GWAS results showed that a total of 33 SNPs were associated with aggressive behaviour traits (P < 4.6E-6). rs312463697 on chromosome 4 was significantly associated with aggression (P = 2.10905E-07), and it was in the intron region of the sortilin-related VPS10 domain containing receptor 2 (SORCS2) gene. In addition, biological function analysis of the nearest 26 genes around the significant SNPs was performed with Ingenuity Pathway Analysis. An interaction network contained 17 genes was obtained and SORCS2 was involved in this network, interacted with nerve growth factor (NGF), nerve growth factor receptor (NGFR), dopa decarboxylase (L-dopa) and dopamine. After knockdown of SORCS2, the mRNA levels of NGF, L-dopa and dopamine receptor genes DRD1, DRD2, DRD3 and DRD4 were significantly decreased (P < 0.05). In summary, our data indicated that SORCS2 might play an important role in chicken aggressive behaviour through the regulation of dopaminergic pathways and NGF.
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Affiliation(s)
- Zhenhui Li
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, Guangdong, China
| | - Ming Zheng
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, Guangdong, China
| | - Bahareldin Ali Abdalla
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, Guangdong, China
| | - Zhe Zhang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, Guangdong, China
| | - Zhenqiang Xu
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, Guangdong, China.,Wens NanFang Poultry Breeding Co., Ltd., YunFu 527400, Guangdong, China
| | - Qiao Ye
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, Guangdong, China
| | - Haiping Xu
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, Guangdong, China
| | - Wei Luo
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, Guangdong, China
| | - Qinghua Nie
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, Guangdong, China
| | - Xiquan Zhang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, Guangdong, China
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27
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Windhorst DA, Mileva-Seitz VR, Rippe RCA, Tiemeier H, Jaddoe VWV, Verhulst FC, van IJzendoorn MH, Bakermans-Kranenburg MJ. Beyond main effects of gene-sets: harsh parenting moderates the association between a dopamine gene-set and child externalizing behavior. Brain Behav 2016; 6:e00498. [PMID: 27547500 PMCID: PMC4980469 DOI: 10.1002/brb3.498] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2015] [Revised: 11/13/2015] [Accepted: 04/21/2016] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND In a longitudinal cohort study, we investigated the interplay of harsh parenting and genetic variation across a set of functionally related dopamine genes, in association with children's externalizing behavior. This is one of the first studies to employ gene-based and gene-set approaches in tests of Gene by Environment (G × E) effects on complex behavior. This approach can offer an important alternative or complement to candidate gene and genome-wide environmental interaction (GWEI) studies in the search for genetic variation underlying individual differences in behavior. METHODS Genetic variants in 12 autosomal dopaminergic genes were available in an ethnically homogenous part of a population-based cohort. Harsh parenting was assessed with maternal (n = 1881) and paternal (n = 1710) reports at age 3. Externalizing behavior was assessed with the Child Behavior Checklist (CBCL) at age 5 (71 ± 3.7 months). We conducted gene-set analyses of the association between variation in dopaminergic genes and externalizing behavior, stratified for harsh parenting. RESULTS The association was statistically significant or approached significance for children without harsh parenting experiences, but was absent in the group with harsh parenting. Similarly, significant associations between single genes and externalizing behavior were only found in the group without harsh parenting. Effect sizes in the groups with and without harsh parenting did not differ significantly. Gene-environment interaction tests were conducted for individual genetic variants, resulting in two significant interaction effects (rs1497023 and rs4922132) after correction for multiple testing. CONCLUSION Our findings are suggestive of G × E interplay, with associations between dopamine genes and externalizing behavior present in children without harsh parenting, but not in children with harsh parenting experiences. Harsh parenting may overrule the role of genetic factors in externalizing behavior. Gene-based and gene-set analyses offer promising new alternatives to analyses focusing on single candidate polymorphisms when examining the interplay between genetic and environmental factors.
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Affiliation(s)
- Dafna A Windhorst
- Centre for Child and Family Studies Leiden University Leiden The Netherlands; The Generation R Study Group Erasmus University Medical Center Rotterdam The Netherlands; Department of Child and Adolescent Psychiatry Erasmus University Medical Center-Sophia Children's Hospital Rotterdam The Netherlands
| | - Viara R Mileva-Seitz
- Centre for Child and Family Studies Leiden University Leiden The Netherlands; The Generation R Study Group Erasmus University Medical Center Rotterdam The Netherlands; Department of Child and Adolescent Psychiatry Erasmus University Medical Center-Sophia Children's Hospital Rotterdam The Netherlands
| | - Ralph C A Rippe
- Centre for Child and Family Studies Leiden University Leiden The Netherlands
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry Erasmus University Medical Center-Sophia Children's Hospital Rotterdam The Netherlands; Department of Epidemiology Erasmus University Medical Center Rotterdam The Netherlands; Department of Psychiatry Erasmus University Medical Center Rotterdam The Netherlands
| | - Vincent W V Jaddoe
- The Generation R Study Group Erasmus University Medical Center Rotterdam The Netherlands; Department of Epidemiology Erasmus University Medical Center Rotterdam The Netherlands; Department of Pediatrics Erasmus University Medical Center Rotterdam The Netherlands
| | - Frank C Verhulst
- Department of Child and Adolescent Psychiatry Erasmus University Medical Center-Sophia Children's Hospital Rotterdam The Netherlands
| | - Marinus H van IJzendoorn
- Centre for Child and Family Studies Leiden University Leiden The Netherlands; School of Pedagogical and Educational Sciences Erasmus University Rotterdam The Netherlands
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28
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Brevik EJ, van Donkelaar MMJ, Weber H, Sánchez‐Mora C, Jacob C, Rivero O, Kittel‐Schneider S, Garcia‐Martínez I, Aebi M, van Hulzen K, Cormand B, Ramos‐Quiroga JA, Lesch K, Reif A, Ribasés M, Franke B, Posserud M, Johansson S, Lundervold AJ, Haavik J, Zayats T. Genome-wide analyses of aggressiveness in attention-deficit hyperactivity disorder. Am J Med Genet B Neuropsychiatr Genet 2016; 171:733-47. [PMID: 27021288 PMCID: PMC5071721 DOI: 10.1002/ajmg.b.32434] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2015] [Accepted: 02/09/2016] [Indexed: 12/03/2022]
Abstract
Aggressiveness is a behavioral trait that has the potential to be harmful to individuals and society. With an estimated heritability of about 40%, genetics is important in its development. We performed an exploratory genome-wide association (GWA) analysis of childhood aggressiveness in attention deficit hyperactivity disorder (ADHD) to gain insight into the underlying biological processes associated with this trait. Our primary sample consisted of 1,060 adult ADHD patients (aADHD). To further explore the genetic architecture of childhood aggressiveness, we performed enrichment analyses of suggestive genome-wide associations observed in aADHD among GWA signals of dimensions of oppositionality (defiant/vindictive and irritable dimensions) in childhood ADHD (cADHD). No single polymorphism reached genome-wide significance (P < 5.00E-08). The strongest signal in aADHD was observed at rs10826548, within a long noncoding RNA gene (beta = -1.66, standard error (SE) = 0.34, P = 1.07E-06), closely followed by rs35974940 in the neurotrimin gene (beta = 3.23, SE = 0.67, P = 1.26E-06). The top GWA SNPs observed in aADHD showed significant enrichment of signals from both the defiant/vindictive dimension (Fisher's P-value = 2.28E-06) and the irritable dimension in cADHD (Fisher's P-value = 0.0061). In sum, our results identify a number of biologically interesting markers possibly underlying childhood aggressiveness and provide targets for further genetic exploration of aggressiveness across psychiatric disorders. © 2016 The Authors. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics Published by Wiley Periodicals, Inc.
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Affiliation(s)
- Erlend J. Brevik
- Division of PsychiatryHaukeland University HospitalBergenNorway
- K.G. Jebsen Centre for Research on Neuropsychiatric Disorders, Department of BiomedicineUniversity of BergenBergenNorway
- Department of Biological and Medical PsychologyUniversity of BergenBergenNorway
| | - Marjolein M. J. van Donkelaar
- Department of Human GeneticsDonders Institute for Brain, Cognition and Behaviour, Radboud University Medical CenterNijmegenThe Netherlands
| | - Heike Weber
- Department of Psychiatry, Psychosomatics and PsychotherapyUniversity of FrankfurtFrankfurtGermany
| | - Cristina Sánchez‐Mora
- Psychiatric Genetics Unit, Vall d'Hebron Research Institute (VHIR)Universitat Autònoma de BarcelonaBarcelonaSpain
- Department of PsychiatryHospital Universitari Vall d'HebronBarcelonaSpain
- Biomedical Network Research Centre on Mental Health (CIBERSAM)BarcelonaSpain
| | - Christian Jacob
- Department of Psychiatry and PsychotherapyKlinik NürtingenNürtingenGermany
| | - Olga Rivero
- Division of Molecular PsychiatryCenter of Mental Health, University of WürzburgWürzburgGermany
| | - Sarah Kittel‐Schneider
- Division of Molecular PsychiatryCenter of Mental Health, University of WürzburgWürzburgGermany
| | - Iris Garcia‐Martínez
- Psychiatric Genetics Unit, Vall d'Hebron Research Institute (VHIR)Universitat Autònoma de BarcelonaBarcelonaSpain
- Department of PsychiatryHospital Universitari Vall d'HebronBarcelonaSpain
| | - Marcel Aebi
- Department of Forensic PsychiatryChild and Youth Forensic Service, University Hospital of PsychiatryZurichSwitzerland
- Department of Child and Adolescent PsychiatryUniversity of ZurichZurichSwitzerland
| | - Kimm van Hulzen
- Department of Human GeneticsDonders Institute for Brain, Cognition and Behaviour, Radboud University Medical CenterNijmegenThe Netherlands
| | - Bru Cormand
- Facultat de Biologia, Departament de GenèticaUniversitat de BarcelonaCataloniaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER)BarcelonaSpain
- Institut de Biomedicina de la Universitat de Barcelona (IBUB)CataloniaSpain
| | - Josep A. Ramos‐Quiroga
- Psychiatric Genetics Unit, Vall d'Hebron Research Institute (VHIR)Universitat Autònoma de BarcelonaBarcelonaSpain
- Department of PsychiatryHospital Universitari Vall d'HebronBarcelonaSpain
- Biomedical Network Research Centre on Mental Health (CIBERSAM)BarcelonaSpain
- Department of Psychiatry and Legal MedicineUniversitat Autònoma de BarcelonaBarcelonaSpain
| | - Klaus‐Peter Lesch
- Department of Psychiatry and PsychotherapyKlinik NürtingenNürtingenGermany
- Department of Translational NeuroscienceSchool for Mental Health and Neuroscience (MHeNS), Maastricht UniversityMaastrichtThe Netherlands
| | - Andreas Reif
- Department of Psychiatry, Psychosomatics and PsychotherapyUniversity of FrankfurtFrankfurtGermany
| | - Marta Ribasés
- Psychiatric Genetics Unit, Vall d'Hebron Research Institute (VHIR)Universitat Autònoma de BarcelonaBarcelonaSpain
- Department of PsychiatryHospital Universitari Vall d'HebronBarcelonaSpain
- Biomedical Network Research Centre on Mental Health (CIBERSAM)BarcelonaSpain
| | - Barbara Franke
- Department of Human GeneticsDonders Institute for Brain, Cognition and Behaviour, Radboud University Medical CenterNijmegenThe Netherlands
- Department of PsychiatryDonders Institute for Brain, Cognition and Behaviour, Radboud University Medical CenterNijmegenThe Netherlands
| | - Maj‐Britt Posserud
- Division of PsychiatryHaukeland University HospitalBergenNorway
- K.G. Jebsen Centre for Research on Neuropsychiatric Disorders, Department of BiomedicineUniversity of BergenBergenNorway
| | - Stefan Johansson
- Center for Medical Genetics and Molecular MedicineHaukeland University HospitalBergenNorway
- Department of Clinical ScienceUniversity of BergenBergenNorway
| | - Astri J. Lundervold
- K.G. Jebsen Centre for Research on Neuropsychiatric Disorders, Department of BiomedicineUniversity of BergenBergenNorway
- Department of Biological and Medical PsychologyUniversity of BergenBergenNorway
| | - Jan Haavik
- Division of PsychiatryHaukeland University HospitalBergenNorway
- K.G. Jebsen Centre for Research on Neuropsychiatric Disorders, Department of BiomedicineUniversity of BergenBergenNorway
| | - Tetyana Zayats
- K.G. Jebsen Centre for Research on Neuropsychiatric Disorders, Department of BiomedicineUniversity of BergenBergenNorway
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Pappa I, St Pourcain B, Benke K, Cavadino A, Hakulinen C, Nivard MG, Nolte IM, Tiesler CMT, Bakermans-Kranenburg MJ, Davies GE, Evans DM, Geoffroy MC, Grallert H, Groen-Blokhuis MM, Hudziak JJ, Kemp JP, Keltikangas-Järvinen L, McMahon G, Mileva-Seitz VR, Motazedi E, Power C, Raitakari OT, Ring SM, Rivadeneira F, Rodriguez A, Scheet PA, Seppälä I, Snieder H, Standl M, Thiering E, Timpson NJ, Veenstra R, Velders FP, Whitehouse AJO, Smith GD, Heinrich J, Hypponen E, Lehtimäki T, Middeldorp CM, Oldehinkel AJ, Pennell CE, Boomsma DI, Tiemeier H. A genome-wide approach to children's aggressive behavior: The EAGLE consortium. Am J Med Genet B Neuropsychiatr Genet 2016; 171:562-72. [PMID: 26087016 DOI: 10.1002/ajmg.b.32333] [Citation(s) in RCA: 104] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2014] [Accepted: 05/28/2015] [Indexed: 12/23/2022]
Abstract
Individual differences in aggressive behavior emerge in early childhood and predict persisting behavioral problems and disorders. Studies of antisocial and severe aggression in adulthood indicate substantial underlying biology. However, little attention has been given to genome-wide approaches of aggressive behavior in children. We analyzed data from nine population-based studies and assessed aggressive behavior using well-validated parent-reported questionnaires. This is the largest sample exploring children's aggressive behavior to date (N = 18,988), with measures in two developmental stages (N = 15,668 early childhood and N = 16,311 middle childhood/early adolescence). First, we estimated the additive genetic variance of children's aggressive behavior based on genome-wide SNP information, using genome-wide complex trait analysis (GCTA). Second, genetic associations within each study were assessed using a quasi-Poisson regression approach, capturing the highly right-skewed distribution of aggressive behavior. Third, we performed meta-analyses of genome-wide associations for both the total age-mixed sample and the two developmental stages. Finally, we performed a gene-based test using the summary statistics of the total sample. GCTA quantified variance tagged by common SNPs (10-54%). The meta-analysis of the total sample identified one region in chromosome 2 (2p12) at near genome-wide significance (top SNP rs11126630, P = 5.30 × 10(-8) ). The separate meta-analyses of the two developmental stages revealed suggestive evidence of association at the same locus. The gene-based analysis indicated association of variation within AVPR1A with aggressive behavior. We conclude that common variants at 2p12 show suggestive evidence for association with childhood aggression. Replication of these initial findings is needed, and further studies should clarify its biological meaning. © 2015 Wiley Periodicals, Inc.
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Affiliation(s)
- Irene Pappa
- School of Pedagogical and Educational Sciences, Erasmus University Rotterdam, Rotterdam, The Netherlands
- Generation R Study Group, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Beate St Pourcain
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- School of Oral and Dental Sciences, University of Bristol, Bristol, United Kingdom
- School of Experimental Psychology, University of Bristol, Bristol, United Kingdom
| | - Kelly Benke
- Johns Hopkins Bloomberg School of Public Health, Mental Health Department, Baltimore, Maryland
| | - Alana Cavadino
- Population, Policy and Practice, UCL Institute of Child Health, University College London, London, United Kingdom
- Centre for Environmental and Preventive Medicine, Wolfson Institute of Preventive Medicine, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
| | - Christian Hakulinen
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
| | - Michel G Nivard
- Netherlands Twin Register, Department of Biological Psychology, VU University, Amsterdam, The Netherlands
- Neuroscience Campus Amsterdam (NCA), Amsterdam, The Netherlands
| | - Ilja M Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Carla M T Tiesler
- Institute of Epidemiology I, Helmholtz Zentrum Munich, German Research Centre for Environmental Health, Neuherberg, Germany
- Division of Metabolic Diseases and Nutritional Medicine, Dr von Hauner Children's Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | | | - Gareth E Davies
- Avera Institute for Human Genetics, Sioux Falls, South Dakota
| | - David M Evans
- University of Queensland Diamantina Institute, Translational Research Institute, Woolloongabba, Brisbane, Australia
| | - Marie-Claude Geoffroy
- Population, Policy and Practice, UCL Institute of Child Health, University College London, London, United Kingdom
- McGill Group for Suicide Studies, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada
| | - Harald Grallert
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum Munich, German Research Centre for Environmental Health, Neuherberg, Germany
| | - Maria M Groen-Blokhuis
- Netherlands Twin Register, Department of Biological Psychology, VU University, Amsterdam, The Netherlands
- EMGO+ Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - James J Hudziak
- Vermont Center for Children, Youth, and Families, Department of Psychiatry, University of Vermont, College of Medicine, Vermont
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center-Sophia Children's Hospital, The Netherlands
| | - John P Kemp
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- University of Queensland Diamantina Institute, Translational Research Institute, Woolloongabba, Brisbane, Australia
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | | | - George McMahon
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- University of Queensland Diamantina Institute, Translational Research Institute, Woolloongabba, Brisbane, Australia
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Viara R Mileva-Seitz
- School of Pedagogical and Educational Sciences, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | - Ehsan Motazedi
- Department of Biostatistics, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Christine Power
- Population, Policy and Practice, UCL Institute of Child Health, University College London, London, United Kingdom
| | - Olli T Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku and Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Susan M Ring
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus University Medical Center-Sophia Children's Hospital, The Netherlands
- Department of Epidemiology, Erasmus University Medical Center-Sophia Children's Hospital, The Netherlands
| | - Alina Rodriguez
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
| | - Paul A Scheet
- Department of Epidemiology, University of Texas/MD Anderson Cancer Center, Houston, Texas
| | - Ilkka Seppälä
- Department of Clinical Chemistry, Fimlab Laboratories, University of Tampere School of Medicine, Tampere, Finland
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Marie Standl
- Institute of Epidemiology I, Helmholtz Zentrum Munich, German Research Centre for Environmental Health, Neuherberg, Germany
| | - Elisabeth Thiering
- Institute of Epidemiology I, Helmholtz Zentrum Munich, German Research Centre for Environmental Health, Neuherberg, Germany
- Division of Metabolic Diseases and Nutritional Medicine, Dr von Hauner Children's Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Nicholas J Timpson
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - René Veenstra
- Department of Sociology, University of Groningen, Groningen, The Netherlands
| | - Fleur P Velders
- Generation R Study Group, Erasmus Medical Center, Rotterdam, The Netherlands
| | | | - George Davey Smith
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Joachim Heinrich
- Institute of Epidemiology I, Helmholtz Zentrum Munich, German Research Centre for Environmental Health, Neuherberg, Germany
| | - Elina Hypponen
- School of Pedagogical and Educational Sciences, Erasmus University Rotterdam, Rotterdam, The Netherlands
- School of Population Health and Sansom Institute, University of South Australia, Adelaide, Australia
- South Australian Health and Medical Research Institute, Adelaide, Australia
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, University of Tampere School of Medicine, Tampere, Finland
| | - Christel M Middeldorp
- Netherlands Twin Register, Department of Biological Psychology, VU University, Amsterdam, The Netherlands
- Neuroscience Campus Amsterdam (NCA), Amsterdam, The Netherlands
- Department of child and adolescent psychiatry, GGZ in Geest/VU University Medical Center, Amsterdam, The Netherlands
| | - Albertine J Oldehinkel
- Interdisciplinary Center Psychopathology and Emotion Regulation, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Craig E Pennell
- School of Women's and Infants' Health, University of Western Australia, Perth, Australia
| | - Dorret I Boomsma
- Netherlands Twin Register, Department of Biological Psychology, VU University, Amsterdam, The Netherlands
| | - Henning Tiemeier
- Generation R Study Group, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus University Medical Center-Sophia Children's Hospital, The Netherlands
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center-Sophia Children's Hospital, Rotterdam, The Netherlands
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30
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Aebi M, van Donkelaar MMJ, Poelmans G, Buitelaar JK, Sonuga‐Barke EJS, Stringaris A, consortium IMAGE, Faraone SV, Franke B, Steinhausen H, van Hulzen KJE. Gene-set and multivariate genome-wide association analysis of oppositional defiant behavior subtypes in attention-deficit/hyperactivity disorder. Am J Med Genet B Neuropsychiatr Genet 2016; 171:573-88. [PMID: 26184070 PMCID: PMC4715802 DOI: 10.1002/ajmg.b.32346] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2015] [Accepted: 06/29/2015] [Indexed: 12/02/2022]
Abstract
Oppositional defiant disorder (ODD) is a frequent psychiatric disorder seen in children and adolescents with attention-deficit-hyperactivity disorder (ADHD). ODD is also a common antecedent to both affective disorders and aggressive behaviors. Although the heritability of ODD has been estimated to be around 0.60, there has been little research into the molecular genetics of ODD. The present study examined the association of irritable and defiant/vindictive dimensions and categorical subtypes of ODD (based on latent class analyses) with previously described specific polymorphisms (DRD4 exon3 VNTR, 5-HTTLPR, and seven OXTR SNPs) as well as with dopamine, serotonin, and oxytocin genes and pathways in a clinical sample of children and adolescents with ADHD. In addition, we performed a multivariate genome-wide association study (GWAS) of the aforementioned ODD dimensions and subtypes. Apart from adjusting the analyses for age and sex, we controlled for "parental ability to cope with disruptive behavior." None of the hypothesis-driven analyses revealed a significant association with ODD dimensions and subtypes. Inadequate parenting behavior was significantly associated with all ODD dimensions and subtypes, most strongly with defiant/vindictive behaviors. In addition, the GWAS did not result in genome-wide significant findings but bioinformatics and literature analyses revealed that the proteins encoded by 28 of the 53 top-ranked genes functionally interact in a molecular landscape centered around Beta-catenin signaling and involved in the regulation of neurite outgrowth. Our findings provide new insights into the molecular basis of ODD and inform future genetic studies of oppositional behavior. © 2015 The Authors. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics Published by Wiley Periodicals, Inc.
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Affiliation(s)
- Marcel Aebi
- Department of Forensic Psychiatry, Child and Youth Forensic ServiceUniversity Hospital of PsychiatryZurichSwitzerland
- Department of Child and Adolescent PsychiatryUniversity of ZurichZurichSwitzerland
| | - Marjolein M. J. van Donkelaar
- Department of Human GeneticsRadboud University Medical Center, Donders Institute for Brain, Cognition and BehaviourNijmegenThe Netherlands
| | - Geert Poelmans
- Department of Human GeneticsRadboud University Medical Center, Donders Institute for Brain, Cognition and BehaviourNijmegenThe Netherlands
- Department of Cognitive NeuroscienceDonders Institute for Brain, Cognition and Behaviour, Radboud University Medical CenterNijmegenThe Netherlands
- Department of Molecular Animal PhysiologyDonders Institute for Brain, Cognition and Behavior, Radboud Institute for Molecular Life Sciences, Radboud UniversityNijmegenThe Netherlands
| | - Jan K. Buitelaar
- Department of Cognitive NeuroscienceDonders Institute for Brain, Cognition and Behaviour, Radboud University Medical CenterNijmegenThe Netherlands
| | - Edmund J. S. Sonuga‐Barke
- Developmental Brain‐Behaviour LaboratoryDepartment of PsychologyUniversity of SouthamptonSouthamptonUK
- Department of Experimental Clinical and Health PsychologyGhent UniversityGhentBelgium
| | | | - IMAGE consortium
- Department of Forensic Psychiatry, Child and Youth Forensic ServiceUniversity Hospital of PsychiatryZurichSwitzerland
| | - Stephen V. Faraone
- Department of PsychiatrySUNY Upstate Medical UniversitySyracuseNew York
- Departmentof Neuroscience and PhysiologySUNY Upstate Medical UniversitySyracuseNew York
- Department of BiomedicineK.G. Jebsen Centre for Psychiatric DisordersUniversity of BergenBergenNorway
| | - Barbara Franke
- Department of Human GeneticsRadboud University Medical Center, Donders Institute for Brain, Cognition and BehaviourNijmegenThe Netherlands
- Department of PsychiatryDonders Institute for Brain, Cognition and Behaviour, Radboud University Medical CenterNijmegenThe Netherlands
| | - Hans‐Christoph Steinhausen
- Department of Child and Adolescent PsychiatryUniversity of ZurichZurichSwitzerland
- Department of Psychology, Clinical Psychology and EpidemiologyUniversity of BaselBaselSwitzerland
- Research Unit for Child and Adolescent Psychiatry, Psychiatric HospitalAalborg University HospitalAalborgDenmark
| | - Kimm J. E. van Hulzen
- Department of Human GeneticsRadboud University Medical Center, Donders Institute for Brain, Cognition and BehaviourNijmegenThe Netherlands
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31
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Fernàndez-Castillo N, Cormand B. Aggressive behavior in humans: Genes and pathways identified through association studies. Am J Med Genet B Neuropsychiatr Genet 2016; 171:676-96. [PMID: 26773414 DOI: 10.1002/ajmg.b.32419] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2015] [Accepted: 01/04/2016] [Indexed: 12/21/2022]
Abstract
Aggressive behavior has both genetic and environmental components. Many association studies have been performed to identify genetic factors underlying aggressive behaviors in humans. In this review we summarize the previous work performed in this field, considering both candidate gene (CGAS) and genome-wide association studies (GWAS), excluding those performed in samples where the primary diagnosis is a psychiatric or neurological disorder other than an aggression-related phenotype. Subsequently, we have studied the enrichment of pathways and functions in GWAS data. The results of our searches show that most CGAS have identified associations with genes involved in dopaminergic and serotonergic neurotransmission and in hormone regulation. On the other hand, GWAS have not yet identified genome-wide significant associations, but top nominal findings are related to several signaling pathways, such as axon guidance or estrogen receptor signaling, and also to neurodevelopmental processes and synaptic plasticity. Future studies should use larger samples, homogeneous phenotypes and standardized measurements to identify genes that underlie aggressive behaviors in humans. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Noèlia Fernàndez-Castillo
- Departament de Genètica, Facultat de Biologia, Universitat de Barcelona, Catalonia, Spain.,Institut de Biomedicina de la Universitat de Barcelona (IBUB), Catalonia, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Spain
| | - Bru Cormand
- Departament de Genètica, Facultat de Biologia, Universitat de Barcelona, Catalonia, Spain.,Institut de Biomedicina de la Universitat de Barcelona (IBUB), Catalonia, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Spain
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32
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Roettger ME, Boardman JD, Harris KM, Guo G. The association between the MAOA 2R genotype and delinquency over time among men: the interactive role of parental closeness and parental incarceration. CRIMINAL JUSTICE AND BEHAVIOR 2016; 43:1076-1094. [PMID: 29033475 PMCID: PMC5640317 DOI: 10.1177/0093854816629184] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/30/2023]
Abstract
Using a panel of 6,001 males from the National Longitudinal Study of Adolescent and Adult Health, we examine potential moderation by paternal incarceration and parent-child closeness altering the relationship between the rare 2R MAOA genotype and delinquency. By jointly examining moderation patterns for both the mother and father with the transmission of the MAOA genotype from mother to son, we are able to make inferences about the specific genetic model that best explains these outcomes. In line with prior research, we find a direct relationship between the MAOA 2R genotype and delinquency, independent of parental incarceration and closeness. Examining moderation patterns, we find that delinquency risk for the 2R allele is buffered for males close to their biological or social father, but not their biological mother. We conclude that the 2R delinquency association is not due to passive gene-environment correlation but is best characterized as a social control gene-environment interaction.
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Affiliation(s)
| | | | | | - Guang Guo
- University of North Carolina at Chapel Hill
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33
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Genetic Correlates of Individual Differences in Sleep Behavior of Free-Living Great Tits (Parus major). G3-GENES GENOMES GENETICS 2016; 6:599-607. [PMID: 26739645 PMCID: PMC4777123 DOI: 10.1534/g3.115.024216] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Within populations, free-living birds display considerable variation in observable sleep behaviors, reflecting dynamic interactions between individuals and their environment. Genes are expected to contribute to repeatable between-individual differences in sleep behaviors, which may be associated with individual fitness. We identified and genotyped polymorphisms in nine candidate genes for sleep, and measured five repeatable sleep behaviors in free-living great tits (Parus major), partly replicating a previous study in blue tits (Cyanistes caeruleus). Microsatellites in the CLOCK and NPAS2 clock genes exhibited an association with sleep duration relative to night length, and morning latency to exit the nest box, respectively. Furthermore, microsatellites in the NPSR1 and PCSK2 genes associated with relative sleep duration and proportion of time spent awake at night, respectively. Given the detection rate of associations in the same models run with random markers instead of candidate genes, we expected two associations to arise by chance. The detection of four associations between candidate genes and sleep, however, suggests that clock genes, a clock-related gene, or a gene involved in the melanocortin system, could play key roles in maintaining phenotypic variation in sleep behavior in avian populations. Knowledge of the genetic architecture underlying sleep behavior in the wild is important because it will enable ecologists to assess the evolution of sleep in response to selection.
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34
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Domingue BW, Wedow R, Conley D, McQueen M, Hoffmann TJ, Boardman JD. Genome-Wide Estimates of Heritability for Social Demographic Outcomes. BIODEMOGRAPHY AND SOCIAL BIOLOGY 2016; 62:1-18. [PMID: 27050030 PMCID: PMC4918078 DOI: 10.1080/19485565.2015.1068106] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
An increasing number of studies that are widely used in the demographic research community have collected genome-wide data from their respondents. It is therefore important that demographers have a proper understanding of some of the methodological tools needed to analyze such data. This article details the underlying methodology behind one of the most common techniques for analyzing genome-wide data, genome-wide complex trait analysis (GCTA). GCTA models provide heritability estimates for health, health behaviors, or indicators of attainment using data from unrelated persons. Our goal was to describe this model, highlight the utility of the model for biodemographic research, and demonstrate the performance of this approach under modifications to the underlying assumptions. The first set of modifications involved changing the nature of the genetic data used to compute genetic similarities between individuals (the genetic relationship matrix). We then explored the sensitivity of the model to heteroscedastic errors. In general, GCTA estimates are found to be robust to the modifications proposed here, but we also highlight potential limitations of GCTA estimates.
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Affiliation(s)
| | - Robbee Wedow
- Institute of Behavioral Science, University of Colorado Boulder
| | - Dalton Conley
- Department of Sociology & Center for Genomics and Systems Biology, New York University
| | - Matt McQueen
- Institute of Behavioral Science, University of Colorado Boulder
| | - Thomas J. Hoffmann
- Department of Epidemiology & Biostatistics, and Institute for Human Genetics, University of California San Francisco
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35
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Veroude K, Zhang-James Y, Fernàndez-Castillo N, Bakker MJ, Cormand B, Faraone SV. Genetics of aggressive behavior: An overview. Am J Med Genet B Neuropsychiatr Genet 2016; 171B:3-43. [PMID: 26345359 DOI: 10.1002/ajmg.b.32364] [Citation(s) in RCA: 87] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2015] [Accepted: 08/05/2015] [Indexed: 12/24/2022]
Abstract
The Research Domain Criteria (RDoC) address three types of aggression: frustrative non-reward, defensive aggression and offensive/proactive aggression. This review sought to present the evidence for genetic underpinnings of aggression and to determine to what degree prior studies have examined phenotypes that fit into the RDoC framework. Although the constructs of defensive and offensive aggression have been widely used in the animal genetics literature, the human literature is mostly agnostic with regard to all the RDoC constructs. We know from twin studies that about half the variance in behavior may be explained by genetic risk factors. This is true for both dimensional, trait-like, measures of aggression and categorical definitions of psychopathology. The non-shared environment seems to have a moderate influence with the effects of shared environment being unclear. Human molecular genetic studies of aggression are in an early stage. The most promising candidates are in the dopaminergic and serotonergic systems along with hormonal regulators. Genome-wide association studies have not yet achieved genome-wide significance, but current samples are too small to detect variants having the small effects one would expect for a complex disorder. The strongest molecular evidence for a genetic basis for aggression comes from animal models comparing aggressive and non-aggressive strains or documenting the effects of gene knockouts. Although we have learned much from these prior studies, future studies should improve the measurement of aggression by using a systematic method of measurement such as that proposed by the RDoC initiative.
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Affiliation(s)
- Kim Veroude
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboudumc, Nijmegen, The Netherlands
| | - Yanli Zhang-James
- Departments of Psychiatry and of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, New York.,Departments of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, New York
| | - Noèlia Fernàndez-Castillo
- Departament de Genètica, Facultat de Biologia, Universitat de Barcelona, Catalonia, Spain.,Institut de Biomedicina de la Universitat de Barcelona (IBUB), Catalonia, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Spain
| | - Mireille J Bakker
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboudumc, Nijmegen, The Netherlands
| | - Bru Cormand
- Departament de Genètica, Facultat de Biologia, Universitat de Barcelona, Catalonia, Spain.,Institut de Biomedicina de la Universitat de Barcelona (IBUB), Catalonia, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Spain
| | - Stephen V Faraone
- Departments of Psychiatry and of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, New York.,Departments of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, New York.,K.G. Jebsen Centre for Research on Neuropsychiatric Disorders, University of Bergen, Bergen, Norway
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36
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Derringer J, Corley RP, Haberstick BC, Young SE, Demmitt BA, Howrigan DP, Kirkpatrick RM, Iacono WG, McGue M, Keller MC, Brown S, Tapert S, Hopfer CJ, Stallings MC, Crowley TJ, Rhee SH, Krauter K, Hewitt JK, McQueen MB. Genome-Wide Association Study of Behavioral Disinhibition in a Selected Adolescent Sample. Behav Genet 2015; 45:375-81. [PMID: 25637581 PMCID: PMC4459903 DOI: 10.1007/s10519-015-9705-y] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2014] [Accepted: 01/07/2015] [Indexed: 10/24/2022]
Abstract
Behavioral disinhibition (BD) is a quantitative measure designed to capture the heritable variation encompassing risky and impulsive behaviors. As a result, BD represents an ideal target for discovering genetic loci that predispose individuals to a wide range of antisocial behaviors and substance misuse that together represent a large cost to society as a whole. Published genome-wide association studies (GWAS) have examined specific phenotypes that fall under the umbrella of BD (e.g. alcohol dependence, conduct disorder); however no GWAS has specifically examined the overall BD construct. We conducted a GWAS of BD using a sample of 1,901 adolescents over-selected for characteristics that define high BD, such as substance and antisocial behavior problems, finding no individual locus that surpassed genome-wide significance. Although no single SNP was significantly associated with BD, restricted maximum likelihood analysis estimated that 49.3 % of the variance in BD within the Caucasian sub-sample was accounted for by the genotyped SNPs (p = 0.06). Gene-based tests identified seven genes associated with BD (p ≤ 2.0 × 10(-6)). Although the current study was unable to identify specific SNPs or pathways with replicable effects on BD, the substantial sample variance that could be explained by all genotyped SNPs suggests that larger studies could successfully identify common variants associated with BD.
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Affiliation(s)
- Jaime Derringer
- Department of Psychology, University of Illinois Urbana-Champaign, Champaign, IL, 61820, USA,
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37
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Salvatore JE, Edwards AC, McClintick JN, Bigdeli TB, Adkins A, Aliev F, Edenberg HJ, Foroud T, Hesselbrock V, Kramer J, Nurnberger JI, Schuckit M, Tischfield JA, Xuei X, Dick DM. Genome-wide association data suggest ABCB1 and immune-related gene sets may be involved in adult antisocial behavior. Transl Psychiatry 2015; 5:e558. [PMID: 25918995 PMCID: PMC4462601 DOI: 10.1038/tp.2015.36] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2014] [Accepted: 02/09/2015] [Indexed: 11/09/2022] Open
Abstract
Adult antisocial behavior (AAB) is moderately heritable, relatively common and has adverse consequences for individuals and society. We examined the molecular genetic basis of AAB in 1379 participants from a case-control study in which the cases met criteria for alcohol dependence. We also examined whether genes of interest were expressed in human brain. AAB was measured using a count of the number of Antisocial Personality Disorder criteria endorsed under criterion A from the Diagnostic and Statistical Manual of Mental Disorders, 4th Edition (DSM-IV). Participants were genotyped on the Illumina Human 1M BeadChip. In total, all single-nucleotide polymorphisms (SNPs) accounted for 25% of the variance in AAB, although this estimate was not significant (P=0.09). Enrichment tests indicated that more significantly associated genes were over-represented in seven gene sets, and most were immune related. Our most highly associated SNP (rs4728702, P=5.77 × 10(-7)) was located in the protein-coding adenosine triphosphate-binding cassette, sub-family B (MDR/TAP), member 1 (ABCB1). In a gene-based test, ABCB1 was genome-wide significant (q=0.03). Expression analyses indicated that ABCB1 was robustly expressed in the brain. ABCB1 has been implicated in substance use, and in post hoc tests we found that variation in ABCB1 was associated with DSM-IV alcohol and cocaine dependence criterion counts. These results suggest that ABCB1 may confer risk across externalizing behaviors, and are consistent with previous suggestions that immune pathways are associated with externalizing behaviors. The results should be tempered by the fact that we did not replicate the associations for ABCB1 or the gene sets in a less-affected independent sample.
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Affiliation(s)
- J E Salvatore
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - A C Edwards
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - J N McClintick
- Department of Biochemistry and Molecular Biology, Indiana University, Indianapolis, IN, USA
| | - T B Bigdeli
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - A Adkins
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - F Aliev
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
- Department of Statistics and Institute of Biotechnology, Ankara University, Ankara, Turkey
| | - H J Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University, Indianapolis, IN, USA
| | - T Foroud
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, IN, USA
| | - V Hesselbrock
- Department of Psychiatry, University of Connecticut, Farmington, CT, USA
| | - J Kramer
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - J I Nurnberger
- Department of Psychiatry, Indiana University, Indianapolis, IN, USA
| | - M Schuckit
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - J A Tischfield
- Department of Genetics, Rutgers University, Piscataway, NJ, USA
| | - X Xuei
- Department of Biochemistry and Molecular Biology, Indiana University, Indianapolis, IN, USA
| | - D M Dick
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
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38
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González-Tapia MI, Obsuth I. "Bad genes" & criminal responsibility. INTERNATIONAL JOURNAL OF LAW AND PSYCHIATRY 2015; 39:60-71. [PMID: 25708001 DOI: 10.1016/j.ijlp.2015.01.022] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
The genetics of the accused is trying to break into the courts. To date several candidate genes have been put forward and their links to antisocial behavior have been examined and documented with some consistency. In this paper, we focus on the so called "warrior gene", or the low-activity allele of the MAOA gene, which has been most consistently related to human behavior and specifically to violence and antisocial behavior. In preparing this paper we had two objectives. First, to summarize and analyze the current scientific evidence, in order to gain an in depth understanding of the state of the issue and determine whether a dominant line of generally accepted scientific knowledge in this field can be asserted. Second, to derive conclusions and put forward recommendations related to the use of genetic information, specifically the presence of the low-activity genotype of the MAOA gene, in modulation of criminal responsibility in European and US courts.
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Affiliation(s)
| | - Ingrid Obsuth
- Institute of Criminology, University of Cambridge, United Kingdom
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39
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Sitaram R, Caria A, Veit R, Gaber T, Ruiz S, Birbaumer N. Volitional control of the anterior insula in criminal psychopaths using real-time fMRI neurofeedback: a pilot study. Front Behav Neurosci 2014; 8:344. [PMID: 25352793 PMCID: PMC4196629 DOI: 10.3389/fnbeh.2014.00344] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2014] [Accepted: 09/12/2014] [Indexed: 11/29/2022] Open
Abstract
This pilot study aimed to explore whether criminal psychopaths can learn volitional regulation of the left anterior insula with real-time fMRI neurofeedback. Our previous studies with healthy volunteers showed that learned control of the blood oxygenation-level dependent (BOLD) signal was specific to the target region, and not a result of general arousal and global unspecific brain activation, and also that successful regulation modulates emotional responses, specifically to aversive picture stimuli but not neutral stimuli. In this pilot study, four criminal psychopaths were trained to regulate the anterior insula by employing negative emotional imageries taken from previous episodes in their lives, in conjunction with contingent feedback. Only one out of the four participants learned to increase the percent differential BOLD in the up-regulation condition across training runs. Subjects with higher Psychopathic Checklist-Revised (PCL:SV) scores were less able to increase the BOLD signal in the anterior insula than their lower PCL:SV counterparts. We investigated functional connectivity changes in the emotional network due to learned regulation of the successful participant, by employing multivariate Granger Causality Modeling (GCM). Learning to up-regulate the left anterior insula not only increased the number of connections (causal density) in the emotional network in the single successful participant but also increased the difference between the number of outgoing and incoming connections (causal flow) of the left insula. This pilot study shows modest potential for training psychopathic individuals to learn to control brain activity in the anterior insula.
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Affiliation(s)
- Ranganatha Sitaram
- Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen Tübingen, Germany ; Department of Biomedical Engineering, University of Florida Gainesville, FL, USA ; Sri Chitra Tirunal Institute of Medical Sciences and Technology Thiruvananthapuram, Kerala, India
| | - Andrea Caria
- Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen Tübingen, Germany
| | - Ralf Veit
- Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen Tübingen, Germany
| | - Tilman Gaber
- Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen Tübingen, Germany
| | - Sergio Ruiz
- Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen Tübingen, Germany ; Departamento de Psiquiatría, Escuela de Medicina, Centro Interdisciplinario de Neurociencias, Pontificia Universidad Católica de Chile Santiago, Chile
| | - Niels Birbaumer
- Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen Tübingen, Germany ; Ospedale San Camillo, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Venezia, Italy
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40
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Vrieze SI, Feng S, Miller MB, Hicks BM, Pankratz N, Abecasis GR, Iacono WG, McGue M. Rare nonsynonymous exonic variants in addiction and behavioral disinhibition. Biol Psychiatry 2014; 75:783-9. [PMID: 24094508 PMCID: PMC3975816 DOI: 10.1016/j.biopsych.2013.08.027] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2013] [Revised: 08/02/2013] [Accepted: 08/26/2013] [Indexed: 10/26/2022]
Abstract
BACKGROUND Substance use is heritable, but few common genetic variants have been associated with these behaviors. Rare nonsynonymous exonic variants can now be efficiently genotyped, allowing exome-wide association tests. We identified and tested 111,592 nonsynonymous exonic variants for association with behavioral disinhibition and the use/misuse of nicotine, alcohol, and illicit drugs. METHODS Comprehensive genotyping of exonic variation combined with single-variant and gene-based tests of association was conducted in 7181 individuals; 172 candidate addiction genes were evaluated in greater detail. We also evaluated the aggregate effects of nonsynonymous variants on these phenotypes using Genome-wide Complex Trait Analysis. RESULTS No variant or gene was significantly associated with any phenotype. No association was found for any of the 172 candidate genes, even at reduced significance thresholds. All nonsynonymous variants jointly accounted for 35% of the heritability in illicit drug use and, when combined with common variants from a genome-wide array, accounted for 84% of the heritability. CONCLUSIONS Rare nonsynonymous variants may be important in etiology of illicit drug use, but detection of individual variants will require very large samples.
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Affiliation(s)
- Scott I Vrieze
- Center for Statistical Genetics (SIV, SF, GRA), Department of Biostatistics, University of Michigan, Ann Arbor, Michigan.
| | - Shuang Feng
- Center for Statistical Genetics (SIV, SF, GRA), Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
| | - Michael B Miller
- Department of Psychology (MBM, WGI, MM), University of Minnesota, Minneapolis, Minnesota
| | - Brian M Hicks
- Department of Psychiatry (BMH), University of Michigan, Ann Arbor, Michigan
| | - Nathan Pankratz
- Department of Laboratory Medicine and Pathology (NP), University of Minnesota, Minneapolis, Minnesota
| | - Gonçalo R Abecasis
- Center for Statistical Genetics (SIV, SF, GRA), Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
| | - William G Iacono
- Department of Psychology (MBM, WGI, MM), University of Minnesota, Minneapolis, Minnesota
| | - Matt McGue
- Department of Psychology (MBM, WGI, MM), University of Minnesota, Minneapolis, Minnesota
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41
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Schwartz JA, Beaver KM. Exploring whether genetic differences between siblings explain sibling differences in criminal justice outcomes. Compr Psychiatry 2014; 55:93-103. [PMID: 23856390 DOI: 10.1016/j.comppsych.2013.06.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2013] [Revised: 05/09/2013] [Accepted: 06/05/2013] [Indexed: 01/27/2023] Open
Abstract
Research has revealed that despite many similarities, siblings raised within the same household have also been found to be markedly different from one another. Behavioral differences between siblings have been primarily attributed to differential exposure to a wide variety of environmental influences. The potential role that between-sibling genetic differences play in the development of behavioral differences has been overlooked in the extant literature. The current study examines the association between differences in three dopaminergic polymorphisms (DAT1, DRD2, and DRD4) and differences in arrest, incarceration, and multiple arrests between siblings. Between-sibling difference scores were estimated for each examined polymorphism and each criminal justice outcome measure (along with all controls). Ordinary least squares (OLS) regression models were estimated to examine the potential association between genetic differences between siblings and differences in experiences within the criminal justice system. Models were estimated for the full sample and then for the same-sex male and female subsamples separately. The results provide preliminary evidence that between-sibling differences in some of the examined dopaminergic polymorphisms are associated with differences in contact with the criminal justice system. Findings are discussed in more detail and suggestions for future research are also provided.
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Affiliation(s)
- Joseph A Schwartz
- College of Criminology and Criminal Justice, Florida State University, Tallahassee, FL 32306-1127, USA.
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