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Wang L, Li T, Gu R, Feng C. Large-scale meta-analyses and network analyses of neural substrates underlying human escalated aggression. Neuroimage 2024; 299:120824. [PMID: 39214437 DOI: 10.1016/j.neuroimage.2024.120824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2024] [Revised: 08/01/2024] [Accepted: 08/27/2024] [Indexed: 09/04/2024] Open
Abstract
Escalated aggression represents a frequent and severe form of violence, sometimes manifesting as antisocial behavior. Driven by the pressures of modern life, escalated aggression is of particular concern due to its rising prevalence and its destructive impact on both individual well-being and socioeconomic stability. However, a consistent neural circuitry underpinning it remains to be definitively identified. Here, we addressed this issue by comparing brain alterations between individuals with escalated aggression and those without such behavioral manifestations. We first conducted a meta-analysis to synthesize previous neuroimaging studies on functional and structural alterations of escalated aggression (325 experiments, 2997 foci, 16,529 subjects). Following-up network and functional decoding analyses were conducted to provide quantitative characterizations of the identified brain regions. Our results revealed that brain regions constantly involved in escalated aggression were localized in the subcortical network (amygdala and lateral orbitofrontal cortex) associated with emotion processing, the default mode network (dorsal medial prefrontal cortex and middle temporal gyrus) associated with mentalizing, and the salience network (anterior cingulate cortex and anterior insula) associated with cognitive control. These findings were further supported by additional meta-analyses on emotion processing, mentalizing, and cognitive control, all of which showed conjunction with the brain regions identified in the escalated aggression. Together, these findings advance the understanding of the risk biomarkers of escalated aggressive populations and refine theoretical models of human aggression.
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Affiliation(s)
- Li Wang
- Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education; School of Psychology, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China; Normal College, Hubei Center for Brain and Mental Health Research, Jingchu University of Technology, Jingmen, China
| | - Ting Li
- Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, China
| | - Ruolei Gu
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
| | - Chunliang Feng
- Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education; School of Psychology, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China.
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2
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Penichet EN, Beam CR, Luczak SE, Davis DW. A genetically informed longitudinal study of early-life temperament and childhood aggression. Dev Psychopathol 2024:1-23. [PMID: 38557599 DOI: 10.1017/s0954579424000634] [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: 04/04/2024]
Abstract
The present study examined the longitudinal associations between three dimensions of temperament - activity, affect-extraversion, and task orientation - and childhood aggression. Using 131 monozygotic and 173 dizygotic (86 same-sex) twin pairs from the Louisville Twin Study, we elucidated the ages, from 6 to 36 months, at which each temperament dimension began to correlate with aggression at age 7. We employed latent growth modeling to show that developmental increases (i.e., slopes) in activity were positively associated with aggression, whereas increases in affect-extraversion and task orientation were negatively associated with aggression. Genetically informed models revealed that correlations between temperament and aggression were primarily explained by common genetic variance, with nonshared environmental variance accounting for a small proportion of each correlation by 36 months. Genetic variance explained the correlations of the slopes of activity and task orientation with aggression. Nonshared environmental variance accounted for almost half of the correlation between the slopes of affect-extraversion and aggression. Exploratory analyses revealed quantitative sex differences in each temperament-aggression association. By establishing which dimensions of temperament correlate with aggression, as well as when and how they do so, our work informs the development of future child and family interventions for children at highest risk of aggression.
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Affiliation(s)
- Eric N Penichet
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Christopher R Beam
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
- School of Geronotology, University of Southern California, Los Angeles, CA, USA
| | - Susan E Luczak
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Deborah W Davis
- Department of Pediatrics, University of Louisville School of Medicine, Louisville, KY, USA
- Norton Children's Research Institute affiliated with the University of Louisville School of Medicine, Louisville, KY, USA
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3
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Zhang R, Wang Z. Aggressive behaviors predict greater intraindividual reaction time variability in children: Evidence from cross-lagged panel models. Aggress Behav 2024; 50:e22110. [PMID: 37624086 DOI: 10.1002/ab.22110] [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: 11/24/2022] [Revised: 08/08/2023] [Accepted: 08/09/2023] [Indexed: 08/26/2023]
Abstract
Deficits in attentional control or inhibitory control are distinct features of childhood aggressive behaviors. Lower attentional control or inhibitory control is considered to predict more aggressive behaviors, while few studies have documented the possible predictive effects of aggressive behaviors on attentional control or inhibitory control. The present study examined the bidirectional relations between aggressive behaviors and both inhibitory control and attentional control in 169 Chinese primary school children (75 girls, Mage = 7.15, SDage = 0.33), annually for 3 years starting at age 7. The No-go accuracy on a Go/No-go task was used as the index of inhibitory control, and the intraindividual reaction time variability (IIRTV) of correct Go trials indicated attentional control. The aggressive behaviors subscale of the child behavior checklist-Chinese version was used to assess the children's aggressive behaviors. The results demonstrated a significant and stable predictive effect of previous aggressive behaviors on subsequent attentional control, with more aggressive behaviors predicting greater IIRTV at both the between-child and within-child levels. No significant effects of inhibitory control or attentional control on aggressive behaviors or sex-specific patterns were found. The findings suggest the negative impact of childhood aggressive behaviors on attentional control and underscore the importance of early prevention and intervention for childhood aggressive behaviors.
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Affiliation(s)
- Runzhu Zhang
- Shaanxi Provincial Key Research Center of Child Mental and Behavioral Health, School of Psychology, Shaanxi Normal University, Xi'an, China
| | - Zhenhong Wang
- Shaanxi Provincial Key Research Center of Child Mental and Behavioral Health, School of Psychology, Shaanxi Normal University, Xi'an, China
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4
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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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5
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Allegrini AG, van Beijsterveldt T, Boomsma DI, Rimfeld K, Pingault J, Plomin R, Bartels M, Nivard MG. Developmental co-occurrence of psychopathology dimensions in childhood. JCPP ADVANCES 2022; 2:e12100. [PMID: 37431387 PMCID: PMC10242955 DOI: 10.1002/jcv2.12100] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Accepted: 07/18/2022] [Indexed: 12/11/2022] Open
Abstract
Background Comorbidity between psychopathologies may be attributed to genetic and environmental differences between people as well as causal processes within individuals, where one pathology increases risk for another. Disentangling between-person (co)variance from within-person processes of psychopathology dimensions across childhood may shed light on developmental causes of comorbid mental health problems. Here, we aim to determine whether and to what extent directional relationships between psychopathology dimensions within-person, and between individuals within families, play a role in comorbidity. Methods We conducted random intercepts cross-lagged panel model (RI-CLPM) analyses to unravel the longitudinal co-occurrence of child psychopathology dimensions, jointly estimating between-person and within-person processes from childhood to early adolescence (age 7-12). We further developed an extension of the model to estimate sibling effects within-family (wf-RI-CLPM). Analyses were separately conducted in two large population-based cohorts, TEDS and NTR, including parent-rated measures of child problem behaviours based on the SDQ and CBCL scales respectively. Results We found evidence for strong between-person effects underlying the positive intercorrelation between problem behaviours across time. Beyond these time-varying within-person processes accounted for an increasing amount of trait variance, within- and cross-trait, overtime in both cohorts. Lastly, by accommodating family level data, we found evidence for reciprocal directional influences within sib-pairs longitudinally. Conclusions Our results indicate that within-person processes partly explain the co-occurrence of psychopathology dimensions across childhood, and within sib-pairs. Analyses provided substantive results on developmental processes underlying comorbidity in behavioural problems. Future studies should consider different developmental timeframes to shed more light on the processes contributing to developmental comorbidity.
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Affiliation(s)
- Andrea G. Allegrini
- Social, Genetic and Developmental Psychiatry CentreInstitute of PsychiatryPsychology and NeuroscienceKing's College LondonLondonUK
- Department of ClinicalEducational and Health PsychologyDivision of Psychology and Language SciencesUniversity College LondonLondonUK
| | - Toos van Beijsterveldt
- Department of Biological PsychologyFaculty of Behavioral and Movement SciencesVrije Universiteit AmsterdamAmsterdamTHE NetherLandEroupe
| | - Dorret I. Boomsma
- Department of Biological PsychologyFaculty of Behavioral and Movement SciencesVrije Universiteit AmsterdamAmsterdamTHE NetherLandEroupe
- Amsterdam Public Health (APH) Research InstituteAmsterdam University Medical CentreAmsterdamTHE NetherLandEroupe
- Amsterdam Reproduction and Development (AR&D) Research InstituteAmsterdam University Medical CentreAmsterdamTHE NetherLandEroupe
| | - Kaili Rimfeld
- Social, Genetic and Developmental Psychiatry CentreInstitute of PsychiatryPsychology and NeuroscienceKing's College LondonLondonUK
| | - Jean‐Baptiste Pingault
- Social, Genetic and Developmental Psychiatry CentreInstitute of PsychiatryPsychology and NeuroscienceKing's College LondonLondonUK
- Department of ClinicalEducational and Health PsychologyDivision of Psychology and Language SciencesUniversity College LondonLondonUK
| | - Robert Plomin
- Social, Genetic and Developmental Psychiatry CentreInstitute of PsychiatryPsychology and NeuroscienceKing's College LondonLondonUK
| | - Meike Bartels
- Department of Biological PsychologyFaculty of Behavioral and Movement SciencesVrije Universiteit AmsterdamAmsterdamTHE NetherLandEroupe
- Amsterdam Public Health (APH) Research InstituteAmsterdam University Medical CentreAmsterdamTHE NetherLandEroupe
| | - Michel G. Nivard
- Department of Biological PsychologyFaculty of Behavioral and Movement SciencesVrije Universiteit AmsterdamAmsterdamTHE NetherLandEroupe
- Amsterdam Public Health (APH) Research InstituteAmsterdam University Medical CentreAmsterdamTHE NetherLandEroupe
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6
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Toseeb U, Oginni OA, Dale PS. Developmental Language Disorder and Psychopathology: Disentangling Shared Genetic and Environmental Influences. JOURNAL OF LEARNING DISABILITIES 2022; 55:185-199. [PMID: 34112015 PMCID: PMC8996291 DOI: 10.1177/00222194211019961] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
There is considerable variability in the extent to which young people with developmental language disorder (DLD) experience mental health difficulties. What drives these individual differences remains unclear. In the current article, data from the Twin Early Development Study were used to investigate the genetic and environmental influences on psychopathology in children and adolescents with DLD (n = 325) and those without DLD (n = 865). Trivariate models were fitted to investigate etiological influences on DLD and psychopathology, and bivariate heterogeneity and homogeneity models were fitted and compared to investigate quantitative differences in etiological influences on psychopathology between those with and without DLD. The genetic correlation between DLD and internalizing problems in childhood was significant, suggesting that their co-occurrence is due to common genetic influences. Similar, but nonsignificant effects were observed for externalizing problems. In addition, genetic influences on internalizing problems, but not externalizing problems, appeared to be higher in young people with DLD than those without DLD, suggesting that the presence of DLD may exacerbate genetic risk for internalizing problems. These findings indicate that genetic influences on internalizing problems may also confer susceptibility to DLD (or vice versa) and that DLD serves as an additional risk factor for those with a genetic predisposition for internalizing problems.
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Affiliation(s)
- Umar Toseeb
- University of York, UK
- Umar Toseeb, PhD, Department of Education,
University of York, Heslington Lane, York, YO10 5DD, UK.
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Teeuw J, Klein M, Mota NR, Brouwer RM, van ‘t Ent D, Al-Hassaan Z, Franke B, Boomsma DI, Hulshoff Pol HE. Multivariate Genetic Structure of Externalizing Behavior and Structural Brain Development in a Longitudinal Adolescent Twin Sample. Int J Mol Sci 2022; 23:ijms23063176. [PMID: 35328598 PMCID: PMC8949114 DOI: 10.3390/ijms23063176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 03/10/2022] [Accepted: 03/10/2022] [Indexed: 12/10/2022] Open
Abstract
Externalizing behavior in its more extreme form is often considered a problem to the individual, their families, teachers, and society as a whole. Several brain structures have been linked to externalizing behavior and such associations may arise if the (co)development of externalizing behavior and brain structures share the same genetic and/or environmental factor(s). We assessed externalizing behavior with the Child Behavior Checklist and Youth Self Report, and the brain volumes and white matter integrity (fractional anisotropy [FA] and mean diffusivity [MD]) with magnetic resonance imaging in the BrainSCALE cohort, which consisted of twins and their older siblings from 112 families measured longitudinally at ages 10, 13, and 18 years for the twins. Genetic covariance modeling based on the classical twin design, extended to also include siblings of twins, showed that genes influence externalizing behavior and changes therein (h2 up to 88%). More pronounced externalizing behavior was associated with higher FA (observed correlation rph up to +0.20) and lower MD (rph up to −0.20), with sizeable genetic correlations (FA ra up to +0.42; MD ra up to −0.33). The cortical gray matter (CGM; rph up to −0.20) and cerebral white matter (CWM; rph up to +0.20) volume were phenotypically but not genetically associated with externalizing behavior. These results suggest a potential mediating role for global brain structures in the display of externalizing behavior during adolescence that are both partially explained by the influence of the same genetic factor.
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Affiliation(s)
- Jalmar Teeuw
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; (R.M.B.); (Z.A.-H.); (H.E.H.P.)
- Correspondence: ; Tel.: +31-(088)-75-53-387
| | - Marieke Klein
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA;
- Department of Human Genetics, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands; (N.R.M.); (B.F.)
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, 6525 XZ Nijmegen, The Netherlands
| | - Nina Roth Mota
- Department of Human Genetics, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands; (N.R.M.); (B.F.)
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, 6525 XZ Nijmegen, The Netherlands
| | - Rachel M. Brouwer
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; (R.M.B.); (Z.A.-H.); (H.E.H.P.)
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands
| | - Dennis van ‘t Ent
- Department of Biological Psychology, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands; (D.v.‘t.E.); (D.I.B.)
| | - Zyneb Al-Hassaan
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; (R.M.B.); (Z.A.-H.); (H.E.H.P.)
| | - Barbara Franke
- Department of Human Genetics, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands; (N.R.M.); (B.F.)
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, 6525 XZ Nijmegen, The Netherlands
- Department of Psychiatry, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Dorret I. Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands; (D.v.‘t.E.); (D.I.B.)
- Amsterdam Public Health (APH) Research Institute, 1081 BT Amsterdam, The Netherlands
| | - Hilleke E. Hulshoff Pol
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; (R.M.B.); (Z.A.-H.); (H.E.H.P.)
- Department of Psychology, Utrecht University, 3584 CS Utrecht, The Netherlands
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8
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Polygenic risk for aggressive behavior from late childhood through early adulthood. Eur Child Adolesc Psychiatry 2021; 32:651-660. [PMID: 34741676 DOI: 10.1007/s00787-021-01906-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Accepted: 10/29/2021] [Indexed: 12/14/2022]
Abstract
Twin studies suggest a substantial role for genes in explaining individual differences in aggressive behavior across development. It is unclear, however, how directly measured genetic risk is associated with aggressive behavior at different moments across adolescence and how genes might distinguish developmental trajectories of aggressive behavior. Here, a polygenic risk score derived from the EAGLE-Consortium genome-wide association study of aggressive behavior in children was tested as predictor of latent growth classes derived from those measures in an adolescent population (n = 2229, of which n = 1246 with genetic information) and a high-risk sample (n = 543, of which n = 335 with genetic information). In the population sample, the polygenic risk score explained variation in parent-reported aggressive behavior at all ages and distinguished between stable low aggressive behavior and moderate and high-decreasing trajectories based on parent-report. In contrast, the polygenic risk score was not associated with self- and teacher-reported aggressive behavior, and no associations were found in the high-risk sample. This pattern of results suggests that methodological choices made in genome-wide association studies impact the predictive strength of polygenic risk scores, not just with respect to power but likely also in terms of generalizability and specificity.
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9
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Belfry KD, Kolla NJ. Cold-Blooded and on Purpose: A Review of the Biology of Proactive Aggression. Brain Sci 2021; 11:1412. [PMID: 34827411 PMCID: PMC8615983 DOI: 10.3390/brainsci11111412] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 10/15/2021] [Accepted: 10/20/2021] [Indexed: 12/29/2022] Open
Abstract
Proactive aggression (PA) is a planned and unprovoked form of aggression that is most often enacted for personal gain or in anticipation of a reward. Frequently described as "cold-blooded" or goal oriented, PA is thought to be associated with low autonomic arousal. With this view in mind, we performed a scoping review of the biological correlates of PA and identified 74 relevant articles. Physiological findings indicated a robust association between PA and reduced resting heart rate, and to a lesser extent a relationship between PA and decreased heart rate and skin conductance reactivity, perhaps indicating dampened sympathetic function. The twin literature identified PA as a heritable trait, but little evidence implicates specific genes in the pathogenesis of PA. Neuroimaging studies of PA pinpoint impaired amygdala function in the assessment and conditioning of aversive stimuli, which may influence the establishment of behavioral patterns. Nodes of the default mode network were identified as possible neural correlates of PA, suggesting that altered function of this network may be involved in the genesis of PA. Given the overlap of PA with reactive aggression and the overall behavioral complexity of PA, it is clear that multiple endophenotypes of PA exist. This comprehensive review surveys the most salient neurobiologically informed research on PA.
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Affiliation(s)
- Kimberly D. Belfry
- Waypoint Research Institute, Waypoint Centre for Mental Health Care, Penetanguishene, ON L9M 1G3, Canada;
| | - Nathan J. Kolla
- Waypoint Research Institute, Waypoint Centre for Mental Health Care, Penetanguishene, ON L9M 1G3, Canada;
- Department of Psychiatry, University of Toronto, Toronto, ON M5S 1A1, Canada
- Centre for Addiction and Mental Health (CAMH), Toronto, ON M5T 1R8, Canada
- Violence Prevention Neurobiological Research Unit, CAMH, Toronto, ON M5T 1R8, Canada
- Waypoint/University of Toronto Research Chair in Forensic Mental Health Science, Penetanguishene, ON L9M 1G3, Canada
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10
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Duclot F, Kabbaj M. Epigenetics of Aggression. Curr Top Behav Neurosci 2021; 54:283-310. [PMID: 34595741 DOI: 10.1007/7854_2021_252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Aggression is a complex behavioral trait modulated by both genetic and environmental influences on gene expression. By controlling gene expression in a reversible yet potentially lasting manner in response to environmental stimulation, epigenetic mechanisms represent prime candidates in explaining both individual differences in aggression and the development of elevated aggressive behaviors following life adversity. In this manuscript, we review the evidence for an epigenetic basis in the development and expression of aggression in both humans and related preclinical animal models. In particular, we discuss reports linking DNA methylation, histone post-translational modifications, as well as non-coding RNA, to the regulation of a variety of genes implicated in the neurobiology of aggression including neuropeptides, the serotoninergic and dopaminergic systems, and stress response related systems. While clinical reports do reveal interesting patterns of DNA methylation underlying individual differences and experience-induced aggressive behaviors, they do, in general, face the challenge of linking peripheral observations to central nervous system regulations. Preclinical studies, on the other hand, provide detailed mechanistic insights into the epigenetic reprogramming of gene expression following life adversities. Although the functional link to aggression remains unclear in most, these studies together do highlight the involvement of epigenetic events driven by DNA methylation, histone modifications, and non-coding RNA in the neuroadaptations underlying the development and expression of aggression.
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Affiliation(s)
- Florian Duclot
- Department of Biomedical Sciences and Program in Neuroscience, Florida State University, Tallahassee, FL, USA.
| | - Mohamed Kabbaj
- Department of Biomedical Sciences and Program in Neuroscience, Florida State University, Tallahassee, FL, USA.
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11
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Carroll SL, Clark DA, Hyde LW, Klump KL, Burt SA. Continuity and Change in the Genetic and Environmental Etiology of Youth Antisocial Behavior. Behav Genet 2021; 51:580-591. [PMID: 34061264 PMCID: PMC8597321 DOI: 10.1007/s10519-021-10066-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Accepted: 05/23/2021] [Indexed: 02/02/2023]
Abstract
Trajectories of youth antisocial behavior (ASB) are characterized by both continuity and change. Twin studies have further indicated that genetic factors underlie continuity, while environmental exposures unique to each child in a given family underlie change. However, most behavioral genetic studies have examined continuity and change during relatively brief windows of development (e.g., during childhood but not into adolescence). It is unclear whether these findings would persist when ASB trajectories are examined across multiple stages of early development (i.e., from early childhood into emerging adulthood). Our study sought to fill this gap by examining participants assessed up to five times between the ages of 3 and 22 years using an accelerated longitudinal design in the Michigan State University Twin Registry (MSUTR). We specifically examined the etiologies of stability and change via growth curve modeling and a series of univariate and bivariate twin analyses. While participants exhibited moderate-to-high rank-order stability, mean levels of ASB decreased linearly with age. Genetic and nonshared environmental influences that were present in early childhood also contributed to both stability and change across development, while shared environmental contributions were negligible. In addition, genetic and nonshared environmental influences that were not yet present at the initial assessment contributed to change over time. Although ASB tended to decrease in frequency with age, participants who engaged in high levels of ASB during childhood generally continued to do so throughout development. Moreover, the genetic and nonshared environmental contributions to ASB early in development also shaped the magnitude of the decrease with age.
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Affiliation(s)
- Sarah L Carroll
- Department of Psychology, Michigan State University, East Lansing, MI, USA
| | - D Angus Clark
- Department of Psychiatry and Addiction Center, University of Michigan, Ann Arbor, MI, USA
| | - Luke W Hyde
- Department of Psychology & Survey Research Center at the Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Kelly L Klump
- Department of Psychology, Michigan State University, East Lansing, MI, USA
| | - S Alexandra Burt
- Department of Psychology, Michigan State University, East Lansing, MI, USA.
- Department of Psychology, Michigan State University, Room 107D Psychology Building, East Lansing, MI, 48824-1116, USA.
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12
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van der Laan CM, Morosoli-García JJ, van de Weijer SGA, Colodro-Conde L, Lupton MK, Mitchell BL, McAloney K, Parker R, Burns JM, Hickie IB, Pool R, Hottenga JJ, Martin NG, Medland SE, Nivard MG, Boomsma DI. Continuity of Genetic Risk for Aggressive Behavior Across the Life-Course. Behav Genet 2021; 51:592-606. [PMID: 34390460 PMCID: PMC8390412 DOI: 10.1007/s10519-021-10076-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Accepted: 06/23/2021] [Indexed: 11/24/2022]
Abstract
We test whether genetic influences that explain individual differences in aggression in early life also explain individual differences across the life-course. In two cohorts from The Netherlands (N = 13,471) and Australia (N = 5628), polygenic scores (PGSs) were computed based on a genome-wide meta-analysis of childhood/adolescence aggression. In a novel analytic approach, we ran a mixed effects model for each age (Netherlands: 12-70 years, Australia: 16-73 years), with observations at the focus age weighted as 1, and decaying weights for ages further away. We call this approach a 'rolling weights' model. In The Netherlands, the estimated effect of the PGS was relatively similar from age 12 to age 41, and decreased from age 41-70. In Australia, there was a peak in the effect of the PGS around age 40 years. These results are a first indication from a molecular genetics perspective that genetic influences on aggressive behavior that are expressed in childhood continue to play a role later in life.
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Affiliation(s)
- Camiel M van der Laan
- Biological Psychology, Vrije Universiteit, Van der Boechorststraat 7, 1081 BT, Amsterdam, The Netherlands.
- The Netherlands Institute for the Study of Crime and Law Enforcement, Amsterdam, The Netherlands.
| | | | - Steve G A van de Weijer
- The Netherlands Institute for the Study of Crime and Law Enforcement, Amsterdam, The Netherlands
| | | | | | | | - Kerrie McAloney
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Richard Parker
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Jane M Burns
- Faculty of Health Sciences, The University of Sydney, Sydney, Australia
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Camperdown, Australia
| | - René Pool
- Biological Psychology, Vrije Universiteit, Van der Boechorststraat 7, 1081 BT, Amsterdam, The Netherlands
| | - Jouke-Jan Hottenga
- Biological Psychology, Vrije Universiteit, Van der Boechorststraat 7, 1081 BT, Amsterdam, The Netherlands
| | | | - Sarah E Medland
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Michel G Nivard
- Biological Psychology, Vrije Universiteit, Van der Boechorststraat 7, 1081 BT, Amsterdam, The Netherlands
| | - Dorret I Boomsma
- Biological Psychology, Vrije Universiteit, Van der Boechorststraat 7, 1081 BT, Amsterdam, The Netherlands
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Ip HF, van der Laan CM, Krapohl EML, Brikell I, Sánchez-Mora C, Nolte IM, St Pourcain B, Bolhuis K, Palviainen T, Zafarmand H, Colodro-Conde L, Gordon S, Zayats T, Aliev F, Jiang C, Wang CA, Saunders G, Karhunen V, Hammerschlag AR, Adkins DE, Border R, Peterson RE, Prinz JA, Thiering E, Seppälä I, Vilor-Tejedor N, Ahluwalia TS, Day FR, Hottenga JJ, Allegrini AG, Rimfeld K, Chen Q, Lu Y, Martin J, Soler Artigas M, Rovira P, Bosch R, Español G, Ramos Quiroga JA, Neumann A, Ensink J, Grasby K, Morosoli JJ, Tong X, Marrington S, Middeldorp C, Scott JG, Vinkhuyzen A, Shabalin AA, Corley R, Evans LM, Sugden K, Alemany S, Sass L, Vinding R, Ruth K, Tyrrell J, Davies GE, Ehli EA, Hagenbeek FA, De Zeeuw E, Van Beijsterveldt TCEM, Larsson H, Snieder H, Verhulst FC, Amin N, Whipp AM, Korhonen T, Vuoksimaa E, Rose RJ, Uitterlinden AG, Heath AC, Madden P, Haavik J, Harris JR, Helgeland Ø, Johansson S, Knudsen GPS, Njolstad PR, Lu Q, Rodriguez A, Henders AK, Mamun A, Najman JM, Brown S, Hopfer C, Krauter K, Reynolds C, Smolen A, Stallings M, Wadsworth S, Wall TL, Silberg JL, Miller A, Keltikangas-Järvinen L, Hakulinen C, Pulkki-Råback L, Havdahl A, Magnus P, Raitakari OT, Perry JRB, Llop S, Lopez-Espinosa MJ, Bønnelykke K, Bisgaard H, Sunyer J, Lehtimäki T, Arseneault L, Standl M, Heinrich J, Boden J, Pearson J, Horwood LJ, Kennedy M, Poulton R, Eaves LJ, Maes HH, Hewitt J, Copeland WE, Costello EJ, Williams GM, Wray N, Järvelin MR, McGue M, Iacono W, Caspi A, Moffitt TE, Whitehouse A, Pennell CE, Klump KL, Burt SA, Dick DM, Reichborn-Kjennerud T, Martin NG, Medland SE, Vrijkotte T, Kaprio J, Tiemeier H, Davey Smith G, Hartman CA, Oldehinkel AJ, Casas M, Ribasés M, Lichtenstein P, Lundström S, Plomin R, Bartels M, Nivard MG, Boomsma DI. Genetic association study of childhood aggression across raters, instruments, and age. Transl Psychiatry 2021; 11:413. [PMID: 34330890 PMCID: PMC8324785 DOI: 10.1038/s41398-021-01480-x] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2020] [Revised: 04/11/2021] [Accepted: 05/20/2021] [Indexed: 01/15/2023] Open
Abstract
Childhood aggressive behavior (AGG) has a substantial heritability of around 50%. Here we present a genome-wide association meta-analysis (GWAMA) of childhood AGG, in which all phenotype measures across childhood ages from multiple assessors were included. We analyzed phenotype assessments for a total of 328 935 observations from 87 485 children aged between 1.5 and 18 years, while accounting for sample overlap. We also meta-analyzed within subsets of the data, i.e., within rater, instrument and age. SNP-heritability for the overall meta-analysis (AGGoverall) was 3.31% (SE = 0.0038). We found no genome-wide significant SNPs for AGGoverall. The gene-based analysis returned three significant genes: ST3GAL3 (P = 1.6E-06), PCDH7 (P = 2.0E-06), and IPO13 (P = 2.5E-06). All three genes have previously been associated with educational traits. Polygenic scores based on our GWAMA significantly predicted aggression in a holdout sample of children (variance explained = 0.44%) and in retrospectively assessed childhood aggression (variance explained = 0.20%). Genetic correlations (rg) among rater-specific assessment of AGG ranged from rg = 0.46 between self- and teacher-assessment to rg = 0.81 between mother- and teacher-assessment. We obtained moderate-to-strong rgs with selected phenotypes from multiple domains, but hardly with any of the classical biomarkers thought to be associated with AGG. Significant genetic correlations were observed with most psychiatric and psychological traits (range [Formula: see text]: 0.19-1.00), except for obsessive-compulsive disorder. Aggression had a negative genetic correlation (rg = ~-0.5) with cognitive traits and age at first birth. Aggression was strongly genetically correlated with smoking phenotypes (range [Formula: see text]: 0.46-0.60). The genetic correlations between aggression and psychiatric disorders were weaker for teacher-reported AGG than for mother- and self-reported AGG. The current GWAMA of childhood aggression provides a powerful tool to interrogate the rater-specific genetic etiology of AGG.
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Affiliation(s)
- Hill F Ip
- Department of Biological Psychology, Vrije Universiteit Amsterdam, 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, Amsterdam, The Netherlands
| | - Eva M L Krapohl
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Isabell Brikell
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Cristina Sánchez-Mora
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Barcelona, Spain
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Ilja M Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Beate St Pourcain
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Koen Bolhuis
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Teemu Palviainen
- Institute for Molecular Medicine FIMM, HiLife, University of Helsinki, Helsinki, Finland
| | - Hadi Zafarmand
- Department of Public Health, Amsterdam Public Health Research Institute, Amsterdam UMC, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
- Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam Public Health Research Institute, Amsterdam UMC, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | | | - Scott Gordon
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Tetyana Zayats
- Department of Biomedicine, University of Bergen, Bergen, Norway
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Fazil Aliev
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, USA
- Faculty of Business, Karabuk University, Karabuk, Turkey
| | - Chang Jiang
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, USA
- Department of Biostatistics, University of Florida, Gainesville, FL, USA
| | - Carol A Wang
- Faculty of Medicine and Health, School of Medicine and Public Health, The University of Newcastle, Callaghan, NSW, Australia
| | - Gretchen Saunders
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Ville Karhunen
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Anke R Hammerschlag
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Child Health Research Centre, the University of Queensland, Brisbane, QLD, Australia
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Daniel E Adkins
- Department of Sociology, College of Social and Behavioral Science, University of Utah, Salt Lake City, UT, USA
- Department of Psychiatry, School of Medicine, University of Utah, Salt Lake City, UT, USA
| | - Richard Border
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
- Department of Applied Mathematics, University of Colorado Boulder, Boulder, CO, USA
| | - Roseann E Peterson
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - Joseph A Prinz
- Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
| | - Elisabeth Thiering
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Division of Metabolic Diseases and Nutritional Medicine, Dr. von Hauner Children's Hospital, Ludwig-Maximilians-University of Munich, Munich, Germany
| | - Ilkka Seppälä
- Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Natàlia Vilor-Tejedor
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Barcelona Beta Brain Research Center, Pasqual Maragall Foundation (FPM), Barcelona, Spain
| | - Tarunveer S Ahluwalia
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
- Steno Diabetes Center Copenhagen, Gentofte, Denmark
| | - Felix R Day
- MRC Epidemiology Unit, Institute of Metabolic Science, Cambridge Biomedical Campus, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Jouke-Jan Hottenga
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Andrea G Allegrini
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Kaili Rimfeld
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Qi Chen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Yi Lu
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Joanna Martin
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - María Soler Artigas
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Barcelona, Spain
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Paula Rovira
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Barcelona, Spain
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Rosa Bosch
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Barcelona, Spain
- Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Gemma Español
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Josep Antoni Ramos Quiroga
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Barcelona, Spain
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Alexander Neumann
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, QC, Canada
| | - Judith Ensink
- Department of Child and Adolescent Psychiatry, Academic Medical Center, Amsterdam, The Netherlands
- De Bascule, Academic Centre for Child and Adolescent Psychiatry, Amsterdam, The Netherlands
| | - Katrina Grasby
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - José J Morosoli
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Xiaoran Tong
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, USA
- Department of Biostatistics, University of Florida, Gainesville, FL, USA
| | - Shelby Marrington
- School of Public Health, Faculty of Medicine, The University of Queensland, Herston, QLD, Australia
| | - Christel Middeldorp
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Child Health Research Centre, the University of Queensland, Brisbane, QLD, Australia
- Children's Health Queensland Hospital and Health Service, Child and Youth Mental Health Service, Brisbane, QLD, Australia
| | - James G Scott
- School of Public Health, Faculty of Medicine, The University of Queensland, Herston, QLD, Australia
- Metro North Mental Health, University of Queensland, St Lucia, QLD, Australia
- Queensland Centre for Mental Health Research, St Lucia, QLD, Australia
| | - Anna Vinkhuyzen
- Institute for Molecular Bioscience, University of Queensland, St Lucia, QLD, Australia
| | - Andrey A Shabalin
- Department of Psychiatry, School of Medicine, University of Utah, Salt Lake City, UT, USA
| | - Robin Corley
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
- Department of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, CO, USA
| | - Luke M Evans
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
- Department of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, CO, USA
| | - Karen Sugden
- Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
- Department of Psychology and Neuroscience and Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
| | - Silvia Alemany
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Lærke Sass
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Rebecca Vinding
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Kate Ruth
- Genetics of Complex Traits, Royal Devon & Exeter Hospital, University of Exeter Medical School, Exeter, UK
| | - Jess Tyrrell
- Genetics of Complex Traits, Royal Devon & Exeter Hospital, University of Exeter Medical School, Exeter, UK
| | | | - Erik A Ehli
- Avera Institute for Human Genetics, Sioux Falls, SD, USA
| | - Fiona A Hagenbeek
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Eveline De Zeeuw
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | | | - Henrik Larsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- School of Medical Sciences, Orebro University, Orebro, Sweden
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Frank C Verhulst
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Child and Adolescent Mental Health Centre, Mental Health Services Capital Region, Research Unit, Copenhagen University Hospital, Copenhagen, Denmark
| | - Najaf Amin
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Alyce M Whipp
- Institute for Molecular Medicine FIMM, HiLife, University of Helsinki, Helsinki, Finland
| | - Tellervo Korhonen
- Institute for Molecular Medicine FIMM, HiLife, University of Helsinki, Helsinki, Finland
| | - Eero Vuoksimaa
- Institute for Molecular Medicine FIMM, HiLife, University of Helsinki, Helsinki, Finland
| | - Richard J Rose
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA
| | - André G Uitterlinden
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA), Leiden, The Netherlands
| | | | | | - Jan Haavik
- Department of Biomedicine, University of Bergen, Bergen, Norway
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Jennifer R Harris
- Division of Health Data and Digitalisation, The Norwegian Institute of Public Health, Oslo, Norway
| | - Øyvind Helgeland
- Department of Genetics and Bioinformatics, Division of Health Data and Digitalization, The Norwegian Institute of Public Health, Bergen, Norway
| | - Stefan Johansson
- Department of Biomedicine, University of Bergen, Bergen, Norway
- K.G. Jebsen Centre for Neuropsychiatric Disorders, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Gun Peggy S Knudsen
- Division of Health Data and Digitalisation, The Norwegian Institute of Public Health, Oslo, Norway
| | | | - Qing Lu
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, USA
- Department of Biostatistics, University of Florida, Gainesville, FL, USA
| | - Alina Rodriguez
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- School of Psychology, University of Lincoln, Lincolnshire, UK
| | - Anjali K Henders
- Institute for Molecular Bioscience, University of Queensland, St Lucia, QLD, Australia
| | - Abdullah Mamun
- Institute for Social Science Research, University of Queensland, Long Pocket, QLD, Australia
| | - Jackob M Najman
- School of Public Health, Faculty of Medicine, The University of Queensland, Herston, QLD, Australia
| | - Sandy Brown
- Department of Psychiatry, University of California, San Diego, CA, USA
| | | | - Kenneth Krauter
- Department of Molecular, Cellular, and Developmental Biology, University of Colorado Boulder, Boulder, CO, USA
| | - Chandra Reynolds
- Department of Psychology, University of California Riverside, Riverside, CA, USA
| | - Andrew Smolen
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - Michael Stallings
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
| | - Sally Wadsworth
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - Tamara L Wall
- Department of Psychiatry, University of California, San Diego, CA, USA
| | - Judy L Silberg
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
- Department of Human & Molecular Genetics, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - Allison Miller
- Department of Pathology and Biomedical Science, and Carney Centre for Pharmacogenomics, University of Otago Christchurch, Christchurch Central City, New Zealand
| | | | - Christian Hakulinen
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Laura Pulkki-Råback
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Alexandra Havdahl
- Nic Waals Institute, Lovisenberg Diaconal Hospital, Oslo, Norway
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
| | - Per Magnus
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Olli T Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - John R B Perry
- MRC Epidemiology Unit, Institute of Metabolic Science, Cambridge Biomedical Campus, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Sabrina Llop
- Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Maria-Jose Lopez-Espinosa
- Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Faculty of Nursing and Chiropody, Universitat de València, Valencia, Spain
| | - Klaus Bønnelykke
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Hans Bisgaard
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Jordi Sunyer
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Louise Arseneault
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Marie Standl
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Joachim Heinrich
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, University of Munich Medical Center, Ludwig-Maximilians-Universität München, Munich, Germany
- Allergy and Lung Health Unit, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - Joseph Boden
- Christchurch Health and Development Study, Department of Psychological Medicine, University of Otago Christchurch, Christchurch Central City, New Zealand
| | - John Pearson
- Biostatistics and Computational Biology Unit, Department of Pathology and Biomedical Science, University of Otago Christchurch, Christchurch Central City, New Zealand
| | - L John Horwood
- Christchurch Health and Development Study, Department of Psychological Medicine, University of Otago Christchurch, Christchurch Central City, New Zealand
| | - Martin Kennedy
- Department of Pathology and Biomedical Science, and Carney Centre for Pharmacogenomics, University of Otago Christchurch, Christchurch Central City, New Zealand
| | - Richie Poulton
- Dunedin Multidisciplinary Health and Development Research Unit, University of Otago, Dunedin, New Zealand
| | - Lindon J Eaves
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
- Department of Human & Molecular Genetics, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - Hermine H Maes
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
- Department of Human & Molecular Genetics, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
- Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, USA
| | - John Hewitt
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
| | - William E Copeland
- Department of Psychiatry, College of Medicine, University of Vermont, Burlington, VT, USA
| | | | - Gail M Williams
- School of Public Health, Faculty of Medicine, The University of Queensland, Herston, QLD, Australia
| | - Naomi Wray
- Institute for Molecular Bioscience, University of Queensland, St Lucia, QLD, Australia
- Queensland Brain Institute, Institute for Molecular Bioscience, University of Queensland, St Lucia, QLD, Australia
| | - Marjo-Riitta Järvelin
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Matt McGue
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - William Iacono
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Avshalom Caspi
- Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
- Department of Psychology and Neuroscience and Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
- Social, Genetic, and Developmental Psychiatry Research Centre, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Terrie E Moffitt
- Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
- Department of Psychology and Neuroscience and Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
- Social, Genetic, and Developmental Psychiatry Research Centre, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Andrew Whitehouse
- Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia
| | - Craig E Pennell
- Faculty of Medicine and Health, School of Medicine and Public Health, The University of Newcastle, Callaghan, NSW, Australia
| | - Kelly L Klump
- Department of Psychology, Michigan State University, East Lansing, MI, USA
| | - S Alexandra Burt
- Department of Psychology, Michigan State University, East Lansing, MI, USA
| | - Danielle M Dick
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, USA
- Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, USA
- College Behavioral and Emotional Health Institute, Virginia Commonwealth University, Richmond, VA, USA
| | - Ted Reichborn-Kjennerud
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | | | - Sarah E Medland
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Tanja Vrijkotte
- Department of Public Health, Amsterdam Public Health Research Institute, Amsterdam UMC, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Jaakko Kaprio
- Institute for Molecular Medicine FIMM, HiLife, University of Helsinki, Helsinki, Finland
- Department of Public Health, Medical Faculty, University of Helsinki, Helsinki, Finland
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Social and Behavioral Science, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Catharina A Hartman
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Albertine J Oldehinkel
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Miquel Casas
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Barcelona, Spain
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Marta Ribasés
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Barcelona, Spain
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Sebastian Lundström
- Gillberg Neuropsychiatry Centre, University of Gothenburg, Gothenburg, Sweden
- Centre for Ethics, Law and Mental Health, University of Gothenburg, Gothenburg, Sweden
| | - Robert Plomin
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Meike Bartels
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands.
| | - Michel G Nivard
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
| | - Dorret I Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands.
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14
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Hay DF, Paine AL, Perra O, Cook KV, Hashmi S, Robinson C, Kairis V, Slade R. Prosocial and Aggressive Behavior: A Longitudinal Study. Monogr Soc Res Child Dev 2021; 86:7-103. [PMID: 33973244 PMCID: PMC9943493 DOI: 10.1111/mono.12427] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Developmental theorists have made strong claims about the fundamental prosocial or aggressive nature of the human infant. However, only rarely have prosocial behavior and aggression been studied together in the same sample. We charted the parallel development of both behaviors from infancy to childhood in a British community sample, using a two-construct, multimethod longitudinal design. Data were drawn from the Cardiff Child Development Study (CCDS), a prospective longitudinal study of a volunteer sample of parents and their firstborn children. A sample of 332 mothers was recruited from National Health Service (NHS) prenatal clinics and general practice clinics in Wales, UK, between Fall of 2005 and Summer of 2007. Potential participants represented the full range of sociodemographic classifications of neighborhoods. Participating families were divided about equally between middle- and working-class families, were somewhat more likely to have sons than daughters, and the majority (90%) were in a stable partnership. In response to standard categories recommended for use in Wales at the time, the majority (93%) of mothers reported themselves as Welsh, Scottish, English, or Irish; most others named a European or South Asian nationality. Of the 332 families agreeing to participate, 321 mothers (Mage = 28 years) and 285 partners (Mage = 31 years) were interviewed during the pregnancy and 321 of the families contributed data at least once after the child's birth. After an initial home visit at 6 months, data collection occurred in four additional waves of testing when children's mean ages were approximately 1, 1.5, 2.5, and 7 years. Data collection alternated between family homes and Cardiff University. Of those families seen after the child's birth, 89% were assessed at the final wave of testing. Data collection ended in 2015. Methods included direct observation, experimental tasks, and collection of reports from mothers, fathers, other relatives or family friends, and classroom teachers. Interactions with a familiar peer were observed at 1.5 years. Interactions with unfamiliar peers took place during experimental birthday parties at 1 and 2.5 years. At 7 years, parents were interviewed, parents and teachers completed questionnaires, and the children engaged in cognitive and social decision-making tasks. Based on reports from parents and other informants who knew the children well, individual differences in both prosocial behavior and aggression were evident in children. Both types of behavior showed stability across the second and third years. The association between prosocial behavior and aggression changed over time: at 1.5 years, they were not significantly related (the association approached zero), but they became negatively correlated by 3 years. Different patterns were seen when children played with familiar versus unfamiliar peers. At 1.5 years, when children were observed at home with a familiar peer, prosocial behavior and aggression were unrelated, thus showing a pattern of results like that seen in the analysis of informants' reports. However, a different pattern emerged during the experimental birthday parties with unfamiliar peers: prosocial behavior and aggression were positively correlated at both 1 and 2.5 years, contributing to a general sociability factor at both ages. Gender differences in prosocial behavior were evident in informants' reports and were also evident at the 1-year (though not the 2.5-year) birthday parties. In contrast, gender differences in both prosocial behavior and aggression were evident by 7 years, both in children's aggressive decision-making and in their parents' and teachers' reports of children's aggressive behavior at home and school. By age 7, children's aggressive decision-making and behavior were inversely associated with their verbal skills, working memory, and emotional understanding. Some children had developed aggressive behavioral problems and callous-unemotional traits. A few (12%) met diagnostic criteria for conduct disorder or oppositional-defiant disorders, which had been predicted by early angry aggressiveness and lack of empathy for other people. Taken together, the findings revealed a gradual disaggregation of two ways in which children interact with other people. Individual differences in both prosocial behavior and aggression revealed continuity over time, with gender differences emerging first in prosocial behavior, then in aggression. Restrictions in the participant sample and the catchment area (e.g., all were first-time parents; all were drawn from a single region in the United Kingdom) mean that it is not possible to generalize findings broadly. It will be important to expand the study of prosocial behavior and aggression in other family and environmental contexts in future work. Learning more about early appearing individual differences in children's approaches to the social world may be useful for both educational and clinical practice.
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Affiliation(s)
| | | | - Oliver Perra
- School of Nursing and Midwifery, Centre for Evidence and Social InnovationQueen's University Belfast
| | | | - Salim Hashmi
- Department of Psychology, Institute of Psychiatry, Psychology and NeuroscienceKing's College London
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15
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Boomsma DI, van Beijsterveldt TCEM, Odintsova VV, Neale MC, Dolan CV. Genetically Informed Regression Analysis: Application to Aggression Prediction by Inattention and Hyperactivity in Children and Adults. Behav Genet 2021; 51:250-263. [PMID: 33259025 PMCID: PMC8093158 DOI: 10.1007/s10519-020-10025-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2020] [Accepted: 10/06/2020] [Indexed: 12/11/2022]
Abstract
We present a procedure to simultaneously fit a genetic covariance structure model and a regression model to multivariate data from mono- and dizygotic twin pairs to test for the prediction of a dependent trait by multiple correlated predictors. We applied the model to aggressive behavior as an outcome trait and investigated the prediction of aggression from inattention (InA) and hyperactivity (HA) in two age groups. Predictions were examined in twins with an average age of 10 years (11,345 pairs), and in adult twins with an average age of 30 years (7433 pairs). All phenotypes were assessed by the same, but age-appropriate, instruments in children and adults. Because of the different genetic architecture of aggression, InA and HA, a model was fitted to these data that specified additive and non-additive genetic factors (A and D) plus common and unique environmental (C and E) influences. Given appropriate identifying constraints, this ADCE model is identified in trivariate data. We obtained different results for the prediction of aggression in children, where HA was the more important predictor, and in adults, where InA was the more important predictor. In children, about 36% of the total aggression variance was explained by the genetic and environmental components of HA and InA. Most of this was explained by the genetic components of HA and InA, i.e., 29.7%, with 22.6% due to the genetic component of HA. In adults, about 21% of the aggression variance was explained. Most was this was again explained by the genetic components of InA and HA (16.2%), with 8.6% due to the genetic component of InA.
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Affiliation(s)
- Dorret I Boomsma
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands.
- Amsterdam Public Health (APH) and Amsterdam Reproduction and Development Research Institutes, Amsterdam, The Netherlands.
| | | | - Veronika V Odintsova
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
- Amsterdam Public Health (APH) and Amsterdam Reproduction and Development Research Institutes, Amsterdam, The Netherlands
| | - Michael C Neale
- Departments of Psychiatry and Human & Molecular Genetics, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, 1-156, P.O. Box 980126, Richmond, VA, 23298-0126, USA
| | - Conor V Dolan
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
- Amsterdam Public Health (APH) and Amsterdam Reproduction and Development Research Institutes, Amsterdam, The Netherlands
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16
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An Examination of Post-Traumatic Stress Symptoms and Aggression among Children with a History of Adverse Childhood Experiences. JOURNAL OF PSYCHOPATHOLOGY AND BEHAVIORAL ASSESSMENT 2021. [DOI: 10.1007/s10862-021-09884-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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17
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Whipp AM, Vuoksimaa E, Korhonen T, Pool R, But A, Ligthart L, Hagenbeek FA, Bartels M, Bogl LH, Pulkkinen L, Rose RJ, Boomsma DI, Kaprio J. Ketone body 3-hydroxybutyrate as a biomarker of aggression. Sci Rep 2021; 11:5813. [PMID: 33712630 PMCID: PMC7955062 DOI: 10.1038/s41598-021-84635-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 02/09/2021] [Indexed: 01/05/2023] Open
Abstract
Human aggression is a complex behaviour, the biological underpinnings of which remain poorly known. To gain insights into aggression biology, we studied relationships with aggression of 11 low-molecular-weight metabolites (amino acids, ketone bodies), processed using 1H nuclear magnetic resonance spectroscopy. We used a discovery sample of young adults and an independent adult replication sample. We studied 725 young adults from a population-based Finnish twin cohort born 1983-1987, with aggression levels rated in adolescence (ages 12, 14, 17) by multiple raters and blood plasma samples at age 22. Linear regression models specified metabolites as the response variable and aggression ratings as predictor variables, and included several potential confounders. All metabolites showed low correlations with aggression, with only one-3-hydroxybutyrate, a ketone body produced during fasting-showing significant (negative) associations with aggression. Effect sizes for different raters were generally similar in magnitude, while teacher-rated (age 12) and self-rated (age 14) aggression were both significant predictors of 3-hydroxybutyrate in multi-rater models. In an independent replication sample of 960 adults from the Netherlands Twin Register, higher aggression (self-rated) was also related to lower levels of 3-hydroxybutyrate. These exploratory epidemiologic results warrant further studies on the role of ketone metabolism in aggression.
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Affiliation(s)
- A M Whipp
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.
| | - E Vuoksimaa
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - T Korhonen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - R Pool
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Amsterdam Public Health (APH) Research Institute, Amsterdam, The Netherlands
| | - A But
- Clinicum, Department of Public Health, University of Helsinki, Helsinki, Finland
| | - L Ligthart
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - F A Hagenbeek
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Amsterdam Public Health (APH) Research Institute, Amsterdam, The Netherlands
| | - M Bartels
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Amsterdam Public Health (APH) Research Institute, Amsterdam, The Netherlands
| | - L H Bogl
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.,Department of Epidemiology, Centre for Public Health, Medical University of Vienna, Vienna, Austria
| | - L Pulkkinen
- Department of Psychology, University of Jyvaskyla, Jyvaskyla, Finland
| | - R J Rose
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, Indiana, USA
| | - D I Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Amsterdam Public Health (APH) Research Institute, Amsterdam, The Netherlands
| | - J Kaprio
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.,Clinicum, Department of Public Health, University of Helsinki, Helsinki, Finland
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18
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Vuoksimaa E, Rose RJ, Pulkkinen L, Palviainen T, Rimfeld K, Lundström S, Bartels M, van Beijsterveldt C, Hendriks A, de Zeeuw EL, Plomin R, Lichtenstein P, Boomsma DI, Kaprio J. Higher aggression is related to poorer academic performance in compulsory education. J Child Psychol Psychiatry 2021; 62:327-338. [PMID: 32474928 DOI: 10.1111/jcpp.13273] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Revised: 04/30/2020] [Accepted: 05/04/2020] [Indexed: 12/27/2022]
Abstract
BACKGROUND To conduct a comprehensive assessment of the association between aggression and academic performance in compulsory education. METHOD We studied aggression and academic performance in over 27,000 individuals from four European twin cohorts participating in the ACTION consortium (Aggression in Children: Unraveling gene-environment interplay to inform Treatment and InterventiON strategies). Individual level data on aggression at ages 7-16 were assessed by three instruments (Achenbach System of Empirically Based Assessment, Multidimensional Peer Nomination Inventory, Strengths and Difficulties Questionnaire) including parental, teacher and self-reports. Academic performance was measured with teacher-rated grade point averages (ages 12-14) or standardized test scores (ages 12-16). Random effect meta-analytical correlations with academic performance were estimated for parental ratings (in all four cohorts) and self-ratings (in three cohorts). RESULTS All between-family analyses indicated significant negative aggression-academic performance associations with correlations ranging from -.06 to -.33. Results were similar across different ages, instruments and raters and either with teacher-rated grade point averages or standardized test scores as measures of academic performance. Meta-analytical r's were -.20 and -.23 for parental and self-ratings, respectively. In within-family analyses of all twin pairs, the negative aggression-academic performance associations were statistically significant in 14 out of 17 analyses (r = -.17 for parental- and r = -.16 for self-ratings). Separate analyses in monozygotic (r = -.07 for parental and self-ratings), same-sex dizygotic (r's = -.16 and -.17 for parental and self-ratings) and opposite-sex dizygotic (r's = -.21 and -.19 for parental and self-ratings) twin pairs suggested partial confounding by genetic effects. CONCLUSIONS There is a robust negative association between aggression and academic performance in compulsory education. Part of these associations were explained by shared genetic effects, but some evidence of a negative association between aggression and academic performance remained even in within-family analyses of monozygotic twin pairs.
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Affiliation(s)
- Eero Vuoksimaa
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Richard J Rose
- Department of Psychological & Brain Sciences, Indiana University, Bloomington, IN, USA
| | - Lea Pulkkinen
- Department of Psychology, University of Jyväskylä, Jyväskylä, Finland
| | - Teemu Palviainen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Kaili Rimfeld
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Sebastian Lundström
- Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
| | - Meike Bartels
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
| | | | - Anne Hendriks
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
| | - Eveline L de Zeeuw
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
| | - Robert Plomin
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Dorret I Boomsma
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
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19
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Demontis D, Walters RK, Rajagopal VM, Waldman ID, Grove J, Als TD, Dalsgaard S, Ribasés M, Bybjerg-Grauholm J, Bækvad-Hansen M, Werge T, Nordentoft M, Mors O, Mortensen PB, Cormand B, Hougaard DM, Neale BM, Franke B, Faraone SV, Børglum AD. Risk variants and polygenic architecture of disruptive behavior disorders in the context of attention-deficit/hyperactivity disorder. Nat Commun 2021; 12:576. [PMID: 33495439 PMCID: PMC7835232 DOI: 10.1038/s41467-020-20443-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2019] [Accepted: 11/30/2020] [Indexed: 11/29/2022] Open
Abstract
Attention-Deficit/Hyperactivity Disorder (ADHD) is a childhood psychiatric disorder often comorbid with disruptive behavior disorders (DBDs). Here, we report a GWAS meta-analysis of ADHD comorbid with DBDs (ADHD + DBDs) including 3802 cases and 31,305 controls. We identify three genome-wide significant loci on chromosomes 1, 7, and 11. A meta-analysis including a Chinese cohort supports that the locus on chromosome 11 is a strong risk locus for ADHD + DBDs across European and Chinese ancestries (rs7118422, P = 3.15×10−10, OR = 1.17). We find a higher SNP heritability for ADHD + DBDs (h2SNP = 0.34) when compared to ADHD without DBDs (h2SNP = 0.20), high genetic correlations between ADHD + DBDs and aggressive (rg = 0.81) and anti-social behaviors (rg = 0.82), and an increased burden (polygenic score) of variants associated with ADHD and aggression in ADHD + DBDs compared to ADHD without DBDs. Our results suggest an increased load of common risk variants in ADHD + DBDs compared to ADHD without DBDs, which in part can be explained by variants associated with aggressive behavior. ADHD is often found to be comorbid with disruptive behavior disorders, but the genetic loci underlying this comorbidity are unknown. Here, the authors have performed a GWAS meta-analysis of ADHD with disruptive behavior disorders, finding three genome-wide significant loci in Europeans, and replicating one in a Chinese cohort.
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Affiliation(s)
- Ditte Demontis
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark. .,Center for Genomics and Personalized Medicine, Aarhus, Denmark. .,Department of Biomedicine - Human Genetics, Aarhus University, Aarhus, Denmark.
| | - Raymond K Walters
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Veera M Rajagopal
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.,Center for Genomics and Personalized Medicine, Aarhus, Denmark.,Department of Biomedicine - Human Genetics, Aarhus University, Aarhus, Denmark
| | - Irwin D Waldman
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Jakob Grove
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.,Center for Genomics and Personalized Medicine, Aarhus, Denmark.,Department of Biomedicine - Human Genetics, Aarhus University, Aarhus, Denmark.,Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
| | - Thomas D Als
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.,Center for Genomics and Personalized Medicine, Aarhus, Denmark.,Department of Biomedicine - Human Genetics, Aarhus University, Aarhus, Denmark
| | - Søren Dalsgaard
- National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark
| | - Marta Ribasés
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain.,Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Catalonia, Spain.,Biomedical Network Research Center on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.,Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - Jonas Bybjerg-Grauholm
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.,Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Maria Bækvad-Hansen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.,Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Thomas Werge
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.,GLOBE Institute, Center for GeoGenetics, University of Copenhagen, Copenhagen, Denmark.,Institute of Biological Psychiatry, MHC Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark.,Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Merete Nordentoft
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.,Copenhagen University Hospital, Mental Health Centre Copenhagen Mental Health Services in the Capital Region of Denmark, Hellerup, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ole Mors
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.,Psychosis Research Unit, Aarhus University Hospital, Aarhus, Denmark
| | - Preben Bo Mortensen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.,Center for Genomics and Personalized Medicine, Aarhus, Denmark.,National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark.,Centre for Integrated Register-Based Research, Aarhus University, Aarhus, Denmark
| | | | - Bru Cormand
- Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalonia, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain.,Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Catalonia, Spain.,Institut de Recerca Sant Joan de Déu (IRSJD), Esplugues de Llobregat, Barcelona, Catalonia, Spain
| | - David M Hougaard
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.,Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Benjamin M Neale
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Barbara Franke
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.,Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Stephen V Faraone
- Departments of Psychiatry and of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY, USA.
| | - Anders D Børglum
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark. .,Center for Genomics and Personalized Medicine, Aarhus, Denmark. .,Department of Biomedicine - Human Genetics, Aarhus University, Aarhus, Denmark.
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20
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Thompson CL, Alcover K, Yip SW. Development and Validation of a Prediction Model of Prescription Tranquilizer Misuse Based on a Nationally Representative United States Sample. Drug Alcohol Depend 2021; 218:108344. [PMID: 33109457 DOI: 10.1016/j.drugalcdep.2020.108344] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Revised: 09/29/2020] [Accepted: 09/29/2020] [Indexed: 12/18/2022]
Abstract
BACKGROUND Prescription tranquilizer misuse is a risky behavior associated with fatal drug poisonings. Although various predictors have been examined, there is no published prediction model for tranquilizer misuse. This study develops and internally validates a tranquilizer misuse prediction model based primarily on drug histories of participants in a national cross-sectional survey. Predictors also include psychiatric, behavioral and demographic variables. METHODS We analyzed data from 471,097 individuals aged 14-to-29-years in the United States, as sampled by the National Survey of Drug Use and Health, 2004-2018, an annual cross-sectional survey. We encoded 21 predictors with known or likely onset prior to tranquilizer misuse initiation, (e.g., early onset of cannabis use). With this dataset, we trained a neural network and regularized logistic regression model. While the assessment for tranquilizer misuse changed slightly in 2015, by pooling all years of survey data, predictions are robust to this source of variation. RESULTS 1.44% of the pooled sample, 2004-2018, recently initiated tranquilizer misuse (unweighted estimate). On held-out test data (n = 43,714), logistic regression and the neural network performed equally well, with an area under the receiver operating characteristic curve (AUC) of ∼0.83 on the primary model, containing 12 variables known to occur before tranquilizer misuse. CONCLUSION Built for case prediction rather than case detection, this model restricted predictors to those with known timing prior to initiation of tranquilizer misuse. Yet its performance supersedes commonly accepted criteria for clinical prediction models (AUC > 0.80). Future work should incorporate survey analysis weights into the prediction model to minimize possible bias.
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Affiliation(s)
- C L Thompson
- Peds AI, 325 E. Grand River Avenue, East Lansing, MI 48823, United States.
| | - Karl Alcover
- Department of Medical Education and Clinical Sciences, Washington State University, United States.
| | - Sarah W Yip
- Departments of Psychiatry and of Child Study, Yale School of Medicine, United States.
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21
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Genotype-environment correlation by intervention effects underlying middle childhood peer rejection and associations with adolescent marijuana use. Dev Psychopathol 2020; 34:171-182. [PMID: 33349288 DOI: 10.1017/s0954579420001066] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Aggressive behavior in middle childhood can contribute to peer rejection, subsequently increasing risk for substance use in adolescence. However, the quality of peer relationships a child experiences can be associated with his or her genetic predisposition, a genotype-environment correlation (rGE). In addition, recent evidence indicates that psychosocial preventive interventions can buffer genetic predispositions for negative behavior. The current study examined associations between polygenic risk for aggression, aggressive behavior, and peer rejection from 8.5 to 10.5 years, and the subsequent influence of peer rejection on marijuana use in adolescence (n = 515; 256 control, 259 intervention). Associations were examined separately in control and intervention groups for children of families who participated in a randomized controlled trial of the family-based preventive intervention, the Family Check-Up . Using time-varying effect modeling (TVEM), polygenic risk for aggression was associated with peer rejection from approximately age 8.50 to 9.50 in the control group but no associations were present in the intervention group. Subsequent analyses showed peer rejection mediated the association between polygenic risk for aggression and adolescent marijuana use in the control group. The role of rGEs in middle childhood peer processes and implications for preventive intervention programs for adolescent substance use are discussed.
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22
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Hendriks AM, Ip HF, Nivard MG, Finkenauer C, Van Beijsterveldt CE, Bartels M, Boomsma DI. Content, diagnostic, correlational, and genetic similarities between common measures of childhood aggressive behaviors and related psychiatric traits. J Child Psychol Psychiatry 2020; 61:1328-1338. [PMID: 32080854 PMCID: PMC7754303 DOI: 10.1111/jcpp.13218] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2019] [Revised: 12/19/2019] [Accepted: 01/03/2020] [Indexed: 12/21/2022]
Abstract
BACKGROUND Given the role of childhood aggressive behavior (AGG) in everyday child development, precise and accurate measurement is critical in clinical practice and research. This study aims to quantify agreement among widely used measures of childhood AGG regarding item content, clinical concordance, correlation, and underlying genetic construct. METHODS We analyzed data from 1254 Dutch twin pairs (age 8-10 years, 51.1% boys) from a general population sample for whom both parents completed the A-TAC, CBCL, and SDQ at the same occasion. RESULTS There was substantial variation in item content among AGG measures, ranging from .00 (i.e., mutually exclusive) to .50 (moderate agreement). Clinical concordance (i.e., do the same children score above a clinical threshold among AGG measures) was very weak to moderate with estimates ranging between .01 and .43 for mother-reports and between .12 and .42 for father-reports. Correlations among scales were weak to strong, ranging from .32 to .70 for mother-reports and from .32 to .64 for father-reports. We found weak to very strong genetic correlations among the measures, with estimates between .65 and .84 for mother-reports and between .30 and .87 for father-reports. CONCLUSIONS Our results demonstrated that degree of agreement between measures of AGG depends on the type (i.e., item content, clinical concordance, correlation, genetic correlation) of agreement considered. Because agreement was higher for correlations compared to clinical concordance (i.e., above or below a clinical cutoff), we propose the use of continuous scores to assess AGG, especially for combining data with different measures. Although item content can be different and agreement among observed measures may not be high, the genetic correlations indicate that the underlying genetic liability for childhood AGG is consistent across measures.
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Affiliation(s)
- Anne M. Hendriks
- Department of Biological PsychologyVrije Universiteit AmsterdamAmsterdamThe Netherlands
- Amsterdam Public Health Research InstituteAmsterdamThe Netherlands
| | - Hill F. Ip
- Department of Biological PsychologyVrije Universiteit AmsterdamAmsterdamThe Netherlands
- Amsterdam Public Health Research InstituteAmsterdamThe Netherlands
| | - Michel G. Nivard
- Department of Biological PsychologyVrije Universiteit AmsterdamAmsterdamThe Netherlands
- Amsterdam Public Health Research InstituteAmsterdamThe Netherlands
| | - Catrin Finkenauer
- Department of Biological PsychologyVrije Universiteit AmsterdamAmsterdamThe Netherlands
- Department of Interdisciplinary Social Sciences: Youth StudiesUtrecht UniversityUtrechtThe Netherlands
| | | | - Meike Bartels
- Department of Biological PsychologyVrije Universiteit AmsterdamAmsterdamThe Netherlands
- Amsterdam Public Health Research InstituteAmsterdamThe Netherlands
| | - Dorret I. Boomsma
- Department of Biological PsychologyVrije Universiteit AmsterdamAmsterdamThe Netherlands
- Amsterdam Public Health Research InstituteAmsterdamThe Netherlands
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23
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Davydova YD, Kazantseva AV, Enikeeva RF, Mustafin RN, Lobaskova MM, Malykh SB, Gilyazova IR, Khusnutdinova EK. The Role of Oxytocin Receptor (OXTR) Gene Polymorphisms in the Development of Aggressive Behavior in Healthy Individuals. RUSS J GENET+ 2020. [DOI: 10.1134/s1022795420090057] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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24
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Pittner K, Bakermans-Kranenburg MJ, Alink LRA, Buisman RSM, van den Berg LJM, Block LHCGCCD, Voorthuis A, Elzinga BM, Lindenberg J, Tollenaar MS, Linting M, Diego VP, van IJzendoorn MH. Estimating the Heritability of Experiencing Child Maltreatment in an Extended Family Design. CHILD MALTREATMENT 2020; 25:289-299. [PMID: 31773993 PMCID: PMC7370654 DOI: 10.1177/1077559519888587] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Child-driven genetic factors can contribute to negative parenting and may increase the risk of being maltreated. Experiencing childhood maltreatment may be partly heritable, but results of twin studies are mixed. In the current study, we used a cross-sectional extended family design to estimate genetic and environmental effects on experiencing child maltreatment. The sample consisted of 395 individuals (225 women; Mage = 38.85 years, rangeage = 7-88 years) from 63 families with two or three participating generations. Participants were oversampled for experienced maltreatment. Self-reported experienced child maltreatment was measured using a questionnaire assessing physical and emotional abuse, and physical and emotional neglect. All maltreatment phenotypes were partly heritable with percentages for h2 ranging from 30% (SE = 13%) for neglect to 62% (SE = 19%) for severe physical abuse. Common environmental effects (c2) explained a statistically significant proportion of variance for all phenotypes except for the experience of severe physical abuse (c2 = 9%, SE = 13%, p = .26). The genetic correlation between abuse and neglect was ρg = .73 (p = .02). Common environmental variance increased as socioeconomic status (SES) decreased (p = .05), but additive genetic and unique environmental variances were constant across different levels of SES.
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Affiliation(s)
- Katharina Pittner
- Education and Child Studies, Leiden University, the Netherlands
- Leiden Institute for Brain and Cognition (LIBC), Leiden University, the Netherlands
| | - Marian J. Bakermans-Kranenburg
- Clinical Child and Family Studies, VU University, Amsterdam, the Netherlands
- Primary Care Unit, School of Clinical Medicine, University of Cambridge, United Kingdom
| | - Lenneke R. A. Alink
- Education and Child Studies, Leiden University, the Netherlands
- Leiden Institute for Brain and Cognition (LIBC), Leiden University, the Netherlands
| | | | - Lisa J. M. van den Berg
- Leiden Institute for Brain and Cognition (LIBC), Leiden University, the Netherlands
- Clinical Psychology Unit, Leiden University, the Netherlands
| | - Laura H. C. G. C. Compier-de Block
- Education and Child Studies, Leiden University, the Netherlands
- Leiden Institute for Brain and Cognition (LIBC), Leiden University, the Netherlands
| | - Alexandra Voorthuis
- Education and Child Studies, Leiden University, the Netherlands
- Leiden Institute for Brain and Cognition (LIBC), Leiden University, the Netherlands
| | - Bernet M. Elzinga
- Leiden Institute for Brain and Cognition (LIBC), Leiden University, the Netherlands
- Clinical Psychology Unit, Leiden University, the Netherlands
| | | | - Marieke S. Tollenaar
- Leiden Institute for Brain and Cognition (LIBC), Leiden University, the Netherlands
- Clinical Psychology Unit, Leiden University, the Netherlands
| | | | - Vincent P. Diego
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville, TX, USA
| | - Marinus H. van IJzendoorn
- Primary Care Unit, School of Clinical Medicine, University of Cambridge, United Kingdom
- Department of Psychology, Education and Child Studies, Erasmus University, Rotterdam, the Netherlands
- Marinus H. van IJzendoorn, Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, Rotterdam, the Netherlands.
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25
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Luningham JM, Hendriks AM, Krapohl E, Ip HF, van Beijsterveldt CE, Lundström S, Vuoksimaa E, Korhonen T, Lichtenstein P, Plomin R, Pulkkinen L, Rose RJ, Kaprio J, Bartels M, Boomsma DI, Lubke GH. Harmonizing behavioral outcomes across studies, raters, and countries: application to the genetic analysis of aggression in the ACTION Consortium. J Child Psychol Psychiatry 2020; 61:807-817. [PMID: 31950512 PMCID: PMC7363537 DOI: 10.1111/jcpp.13188] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/25/2019] [Indexed: 12/14/2022]
Abstract
BACKGROUND Aggression in children has genetic and environmental causes. Studies of aggression can pool existing datasets to include more complex models of social effects. Such analyses require large datasets with harmonized outcome measures. Here, we made use of a reference panel for phenotype data to harmonize multiple aggression measures in school-aged children to jointly analyze data from five large twin cohorts. METHODS Individual level aggression data on 86,559 children (42,468 twin pairs) were available in five European twin cohorts measured by different instruments. A phenotypic reference panel was collected which enabled a model-based phenotype harmonization approach. A bi-factor integration model in the integrative data analysis framework was developed to model aggression across studies while adjusting for rater, age, and sex. Finally, harmonized aggression scores were analyzed to estimate contributions of genes, environment, and social interaction to aggression. The large sample size allowed adequate power to test for sibling interaction effects, with unique dynamics permitted for opposite-sex twins. RESULTS The best-fitting model found a high level of overall heritability of aggression (~60%). Different heritability rates of aggression across sex were marginally significant, with heritability estimates in boys of ~64% and ~58% in girls. Sibling interaction effects were only significant in the opposite-sex twin pairs: the interaction effect of males on their female co-twin differed from the effect of females on their male co-twin. An aggressive female had a positive effect on male co-twin aggression, whereas more aggression in males had a negative influence on a female co-twin. CONCLUSIONS Opposite-sex twins displayed unique social dynamics of aggressive behaviors in a joint analysis of a large, multinational dataset. The integrative data analysis framework, applied in combination with a reference panel, has the potential to elucidate broad, generalizable results in the investigation of common psychological traits in children.
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Affiliation(s)
- Justin M. Luningham
- Department of Psychology, University of Notre Dame, Notre
Dame, IN;,Department of Population Health Sciences, School of Public
Health, Georgia State University, Atlanta, GA, USA
| | - Anne M. Hendriks
- Netherlands Twin Register, Department of Biological
Psychology, Vrije Universiteit Amsterdam, Amsterdam;,Amsterdam Public Health research institute, Faculty of
Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The
Netherlands
| | - Eva Krapohl
- Medical Research Council Social, Genetic, and Developmental
Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience,
King’s College London, London, UK
| | - Hill Fung Ip
- Netherlands Twin Register, Department of Biological
Psychology, Vrije Universiteit Amsterdam, Amsterdam;,Amsterdam Public Health research institute, Faculty of
Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The
Netherlands
| | - Catharina E.M. van Beijsterveldt
- Netherlands Twin Register, Department of Biological
Psychology, Vrije Universiteit Amsterdam, Amsterdam;,Amsterdam Public Health research institute, Faculty of
Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The
Netherlands
| | - Sebastian Lundström
- Gillberg Neuropsychiatry Centre, University of Gothenburg,
Gothenburg;,Centre for Ethics, Law and Mental Health (CELAM),
University of Gothenburg, Gothenburg, Sweden
| | - Eero Vuoksimaa
- Institute for Molecular Medicine Finland, University of
Helsinki, Helsinki, Finland
| | - Tellervo Korhonen
- Institute for Molecular Medicine Finland, University of
Helsinki, Helsinki, Finland
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics,
Karolinska Institutet, Stockholm, Sweden
| | - Robert Plomin
- Medical Research Council Social, Genetic, and Developmental
Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience,
King’s College London, London, UK
| | - Lea Pulkkinen
- Department of Psychology, University of Jyvaskyla,
Jyvaskyla, Finland
| | - Richard J. Rose
- Department of Psychological and Brain Sciences, Indiana
University, Bloomington, IN, USA
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland, University of
Helsinki, Helsinki, Finland;,Department of Public Health, University of Helsinki,
Helsinki, Finland
| | - Meike Bartels
- Netherlands Twin Register, Department of Biological
Psychology, Vrije Universiteit Amsterdam, Amsterdam;,Amsterdam Public Health research institute, Faculty of
Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The
Netherlands;,Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Dorret I. Boomsma
- Netherlands Twin Register, Department of Biological
Psychology, Vrije Universiteit Amsterdam, Amsterdam;,Amsterdam Public Health research institute, Faculty of
Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The
Netherlands;,Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Gitta H. Lubke
- Department of Psychology, University of Notre Dame, Notre
Dame, IN
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26
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Kohlhoff J, Morgan S, Briggs N, Egan R, Niec L. Parent-Child Interaction Therapy with Toddlers in a community-based setting: Improvements in parenting behavior, emotional availability, child behavior, and attachment. Infant Ment Health J 2020; 41:543-562. [PMID: 32589327 DOI: 10.1002/imhj.21864] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Parent-Child Interaction Therapy with Toddlers (PCIT-T) is a new attachment-based parenting intervention designed to meet the needs of children aged 12-24 months presenting with challenging behaviors. This study examined outcomes of the first phase of PCIT-T, Child Directed Interaction-Toddler (CDI-T), 4-months post treatment. Participants were 56 toddlers (Child Mage = 19.13 months) referred to receive CDI-T over an 8-week period at an Australian community-based child behavior treatment clinic for treatment of difficult toddler behaviors. Participants completed questionnaires and observational measures at baseline (Time 1), post-treatment (Time 2), and 4-month follow-up (Time 3). At both Time 2 and Time 3, there were statistically significant increases in observed positive parenting skills and emotional availability and decreases in negative parenting behaviors and child noncompliance. There were also significant improvements in parent-reported child externalizing and internalizing behaviors, parental stress, and maternal depression. There was a pattern of a shift away from attachment insecurity and attachment disorganization. Results suggest that the CDI-T phase of PCIT-T is a promising intervention for toddlers presenting with behavioral issues. Future studies should be conducted to assess efficacy in other settings, using larger samples and utilizing randomized controlled designs.
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Affiliation(s)
- Jane Kohlhoff
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia.,Research Department, Karitane, Sydney, Australia
| | - Susan Morgan
- Research Department, Karitane, Sydney, Australia
| | - Nancy Briggs
- Mark Wainwright Analytical Centre, University of New South Wales, Sydney, New South Wales, Australia
| | - Ryan Egan
- University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Larissa Niec
- Center for Children, Families, and Communities, Department of Psychology, Central Michigan University, Mount Pleasant, Michigan, USA
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27
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Johansson A, Huhtamäki A, Sainio M, Kaljonen A, Boivin M, Salmivalli C. Heritability of Bullying and Victimization in Children and Adolescents: Moderation by the KiVa Antibullying Program. JOURNAL OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY 2020; 51:505-514. [PMID: 32175773 DOI: 10.1080/15374416.2020.1731820] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Objective: Bullying affects approximately a quarter of schoolchildren and is associated with numerous adverse outcomes. Although distinct risk factors for bullying and victimization have been identified, few studies have investigated the genetic and environmental underpinnings of bullying and victimization. The aims of this study were twofold: first, to examine the contributions of genetic and environmental factors to bullying and victimization, and second, to analyze whether the KiVa antibullying program moderated the magnitude of these contributions by comparing estimates derived from the KiVa versus control groups.Method: The sample comprised students from schools that participated in the evaluation of the KiVa antibullying program in Finland during 2007-2009. Bullying and victimization were measured using peer nominations by classmates. The sample for the twin analyses comprised of 447 twins (107 monozygotic and 340 dizygotic twins) aged 7-15.Results: Genetic contributions accounted for 62% and 77% of the variance in bullying and in victimization at pre-intervention, respectively. There was a post-intervention difference in the overall role of genetic and environmental contributions between the intervention and the control group for bullying and victimization, with non-shared environmental effects playing a lesser role (and genes a larger role) in the intervention than in the control group context.Conclusions: This study replicates previous findings on the genetic underpinnings of both bullying and victimization, and indicates that a school-based antibullying program reduces the role of non-shared environmental factors in bullying and victimization. The results indicate that prevention and intervention efforts need to target both environmental and (heritable) individual level factors to maximize effectiveness.
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Affiliation(s)
- Ada Johansson
- Department of Psychology, Faculty of Arts, Psychology and Theology, Åbo Akademi University.,Department of Psychology and Speech-Language Pathology, University of Turku
| | - Anne Huhtamäki
- Department of Psychology, Faculty of Arts, Psychology and Theology, Åbo Akademi University
| | - Miia Sainio
- Department of Psychology and Speech-Language Pathology, University of Turku
| | - Anne Kaljonen
- Department of Biostatistics, Faculty of Medicine, University of Turku
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28
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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: 5.4] [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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29
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30
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Hendriks AM, Finkenauer C, Nivard MG, Van Beijsterveldt CEM, Plomin RJ, Boomsma DI, Bartels M. Comparing the genetic architecture of childhood behavioral problems across socioeconomic strata in the Netherlands and the United Kingdom. Eur Child Adolesc Psychiatry 2020; 29:353-362. [PMID: 31154517 PMCID: PMC7056693 DOI: 10.1007/s00787-019-01357-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Accepted: 05/23/2019] [Indexed: 11/12/2022]
Abstract
Socioeconomic status (SES) affects the development of childhood behavioral problems. It has been frequently observed that children from low SES background tend to show more behavioral problems. There also is some evidence that SES has a moderating effect on the causes of individual differences in childhood behavioral problems, with lower heritability estimates and a stronger contribution of environmental factors in low SES groups. The aim of the present study was to examine whether the genetic architecture of childhood behavioral problems suggests the presence of protective and/or harmful effects across socioeconomic strata, in two countries with different levels of socioeconomic disparity: the Netherlands and the United Kingdom. We analyzed data from 7-year-old twins from the Netherlands Twin Register (N = 24,112 twins) and the Twins Early Development Study (N = 19,644 twins). The results revealed a nonlinear moderation effect of SES on the contribution of genetic and environmental factors to individual differences in childhood behavioral problems. The heritability was higher, the contribution of the shared environment was lower, and the contribution of the nonshared environment was higher, for children from high SES families, compared to children from low or medium SES families. The pattern was similar for Dutch and UK families. We discuss the importance of these findings for prevention and intervention goals.
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Affiliation(s)
- A. M. Hendriks
- grid.12380.380000 0004 1754 9227Vrije Universiteit Amsterdam, Department of Biological Psychology, Netherlands Twin Register, van der Boechorststraat 7, 1081 BT Amsterdam, the Netherlands ,grid.16872.3a0000 0004 0435 165XAmsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - C. Finkenauer
- grid.12380.380000 0004 1754 9227Vrije Universiteit Amsterdam, Department of Biological Psychology, Netherlands Twin Register, van der Boechorststraat 7, 1081 BT Amsterdam, the Netherlands ,grid.5477.10000000120346234Department of Interdisciplinary Social Sciences: Youth Studies, Utrecht University, Padualaan 14, 3584 CH Utrecht, the Netherlands
| | - M. G. Nivard
- grid.12380.380000 0004 1754 9227Vrije Universiteit Amsterdam, Department of Biological Psychology, Netherlands Twin Register, van der Boechorststraat 7, 1081 BT Amsterdam, the Netherlands
| | - C. E. M. Van Beijsterveldt
- grid.12380.380000 0004 1754 9227Vrije Universiteit Amsterdam, Department of Biological Psychology, Netherlands Twin Register, van der Boechorststraat 7, 1081 BT Amsterdam, the Netherlands
| | - R. J. Plomin
- grid.13097.3c0000 0001 2322 6764King’s College London, Social, Genetic and Developmental Psychiatry Centre, MRC Social, Institute of Psychiatry, Strand, London, WC2R 2LS UK
| | - D. I. Boomsma
- grid.12380.380000 0004 1754 9227Vrije Universiteit Amsterdam, Department of Biological Psychology, Netherlands Twin Register, van der Boechorststraat 7, 1081 BT Amsterdam, the Netherlands ,grid.16872.3a0000 0004 0435 165XAmsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - M. Bartels
- grid.12380.380000 0004 1754 9227Vrije Universiteit Amsterdam, Department of Biological Psychology, Netherlands Twin Register, van der Boechorststraat 7, 1081 BT Amsterdam, the Netherlands ,grid.16872.3a0000 0004 0435 165XAmsterdam Public Health Research Institute, Amsterdam, the Netherlands
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31
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Magalotti SR, Neudecker M, Zaraa SG, McVoy MK. Understanding Chronic Aggression and Its Treatment in Children and Adolescents. Curr Psychiatry Rep 2019; 21:123. [PMID: 31741142 DOI: 10.1007/s11920-019-1105-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/02/2023]
Abstract
PURPOSE OF REVIEW Youth aggression is common and has a significant burden on individuals, families, and society. However, its treatment is often a challenge for clinicians. Thus, this review will examine the current understanding of youth aggression, conceptualize aggression as a symptom rather than its own disorder, and provide an overview of treatment strategies. RECENT FINDINGS Youth aggression is associated with complex genetic, neurobiological, and environmental risks. Prevention strategies are of the utmost importance for at-risk families and youth. Psychosocial interventions are the first line treatment. But if not fully effective, then pharmacologic interventions-including psychostimulants, alpha-2 agonists, atomoxetine, and risperidone-have shown benefits. Other medications, such as SSRIs, can be useful in certain scenarios. It is important to conceptualize youth aggression as being a trans-diagnostic symptom in psychopathology. Determining the underlying cause of aggression will help to guide treatment.
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Affiliation(s)
- Selena R Magalotti
- Department of Psychiatry, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Mandy Neudecker
- Department of Psychiatry, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Solomon G Zaraa
- Department of Psychiatry, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Molly K McVoy
- Department of Psychiatry, University Hospitals Cleveland Medical Center, Cleveland, OH, USA. .,Case Western University School of Medicine, Cleveland, OH, USA. .,W. O. Walker Building, Division of Child and Adolescent Psychiatry, 10524 Euclid Ave, Suite 1155A, Cleveland, OH, USA.
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32
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Ma H, Xun G, Zhang R, Yang X, Cao Y. Correlation between GRIK2 rs6922753, rs2227283 polymorphism and aggressive behaviors with Bipolar Mania in the Chinese Han population. Brain Behav 2019; 9:e01449. [PMID: 31631587 PMCID: PMC6851809 DOI: 10.1002/brb3.1449] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Revised: 09/15/2019] [Accepted: 09/21/2019] [Indexed: 12/31/2022] Open
Abstract
OBJECTIVES Animal studies have shown that glutamate receptor ionotropic kainate 2 (GRIK2) gene knockout mice are more impulsive and aggressive. This study aims to verify whether the rs6922753 and rs2227283 polymorphisms of the GRIK2 gene are associated with both aggressive behavior and bipolar mania in the Chinese Han population. METHODS Polymerase chain reaction (PCR) was applied in the genotype rs6922753 and rs2227283 polymorphisms of the GRIK2 gene in 201 bipolar manic patients with aggressive behaviors, 198 bipolar manic patients without aggressive behaviors, and 132 healthy controls. The Modified Overt Aggression Scale (MOAS) was used to evaluate aggressive behavior in patients with bipolar mania. RESULTS No correlation was found between aggressive behavior and the rs6922753 polymorphism in the three groups. The A/A genotype and A allele of the rs2227283 polymorphism were found significantly more frequently in patients with aggressive behavior than in healthy controls (p = .004 and p = .013, respectively) and in patients with nonaggressive behavior (p = .002 and p = .018, respectively). The A/A genotype and A allele were associated with an increased risk of aggressive behavior. CONCLUSION This study suggests that the rs2227283 polymorphism of the GRIK2 gene is related to aggressive behaviors in bipolar manic patients and that the A/A genotype and A allele may increase the risk of the aggressive behavior in bipolar manic patients.
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Affiliation(s)
- Haibo Ma
- Department of PsychiatryShandong Mental Health CenterJinanChina
| | - Guanglei Xun
- Department of PsychiatryShandong Mental Health CenterJinanChina
| | - Renyun Zhang
- Department of PsychiatryShandong Mental Health CenterJinanChina
| | - Xiaohua Yang
- Department of PsychiatryShandong Mental Health CenterJinanChina
| | - Yu Cao
- Department of PsychiatryShandong Mental Health CenterJinanChina
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33
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Manchia M, Comai S, Pinna M, Pinna F, Fanos V, Denovan-Wright E, Carpiniello B. Biomarkers in aggression. Adv Clin Chem 2019; 93:169-237. [PMID: 31655730 DOI: 10.1016/bs.acc.2019.07.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Aggressive behavior exerts an enormous impact on society remaining among the main causes of worldwide premature death. Effective primary interventions, relying on predictive models of aggression that show adequate sensitivity and specificity are currently lacking. One strategy to increase the accuracy and precision of prediction would be to include biological data in the predictive models. Clearly, to be included in such models, biological markers should be reliably associated with the specific trait under study (i.e., diagnostic biomarkers). Aggression, however, is phenotypically highly heterogeneous, an element that has hindered the identification of reliable biomarkers. However, current research is trying to overcome these challenges by focusing on more homogenous aggression subtypes and/or by studying large sample size of aggressive individuals. Further advance is coming by bioinformatics approaches that are allowing the integration of inter-species biological data as well as the development of predictive algorithms able to discriminate subjects on the basis of the propensity toward aggressive behavior. In this review we first present a brief summary of the available evidence on neuroimaging of aggression. We will then treat extensively the data on genetic determinants, including those from hypothesis-free genome-wide association studies (GWAS) and candidate gene studies. Transcriptomic and neurochemical biomarkers will then be reviewed, and we will dedicate a section on the role of metabolomics in aggression. Finally, we will discuss how biomarkers can inform the development of new pharmacological tools as well as increase the efficacy of preventive strategies.
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Affiliation(s)
- Mirko Manchia
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy; Department of Pharmacology, Dalhousie University, Halifax, NS, Canada.
| | - Stefano Comai
- San Raffaele Scientific Institute and Vita Salute University, Milano, Italy; Department of Psychiatry, McGill University, Montreal, QC, Canada.
| | - Martina Pinna
- Forensic Psychiatry Unit, Sardinia Health Agency, Cagliari, Italy
| | - Federica Pinna
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Vassilios Fanos
- Department of Surgical Sciences, University of Cagliari, Cagliari, Italy; Puericulture Institute and Neonatal Section, University Hospital Agency of Cagliari, Cagliari, Italy
| | | | - Bernardo Carpiniello
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
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Derks IPM, Bolhuis K, Yalcin Z, Gaillard R, Hillegers MHJ, Larsson H, Lundström S, Lichtenstein P, van Beijsterveldt CEM, Bartels M, Boomsma DI, Tiemeier H, Jansen PW. Testing Bidirectional Associations Between Childhood Aggression and BMI: Results from Three Cohorts. Obesity (Silver Spring) 2019; 27:822-829. [PMID: 30957987 PMCID: PMC6594099 DOI: 10.1002/oby.22419] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2018] [Accepted: 12/21/2018] [Indexed: 01/01/2023]
Abstract
OBJECTIVE This study examined the prospective, potentially bidirectional association of aggressive behavior with BMI and body composition across childhood in three population-based cohorts. METHODS Repeated measures of aggression and BMI were available from the Generation R Study between ages 6 and 10 years (N = 3,974), the Netherlands Twin Register (NTR) between ages 7 and 10 years (N = 10,328), and the Swedish Twin Study of Child and Adolescent Development (TCHAD) between ages 9 and 14 years (N = 1,462). In all samples, aggression was assessed with the Child Behavior Checklist. Fat mass and fat-free mass were available in the Generation R Study. Associations were examined with cross-lagged modeling. RESULTS Aggressive behavior at baseline was associated with higher BMI at follow-up in the Generation R Study (β = 0.02, 95% CI: 0.00 to 0.04), in NTR (β = 0.04, 95% CI: 0.02 to 0.06), and in TCHAD (β = 0.03, 95% CI: -0.02 to 0.07). Aggressive behavior was prospectively associated with higher fat mass (β = 0.03, 95% CI: 0.01 to 0.05) but not fat-free mass. There was no evidence that BMI or body composition preceded aggressive behavior. CONCLUSIONS More aggressive behavior was prospectively associated with higher BMI and fat mass. This suggests that aggression contributes to the obesity problem, and future research should study whether these behavioral pathways to childhood obesity are modifiable.
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Affiliation(s)
- Ivonne P. M. Derks
- Department of Child & Adolescent Psychiatry/PsychologyErasmus Medical Center–Sophia Children's HospitalRotterdamthe Netherlands
- Generation R Study GroupErasmus Medical CenterRotterdamthe Netherlands
| | - Koen Bolhuis
- Department of Child & Adolescent Psychiatry/PsychologyErasmus Medical Center–Sophia Children's HospitalRotterdamthe Netherlands
- Generation R Study GroupErasmus Medical CenterRotterdamthe Netherlands
| | - Zeynep Yalcin
- Department of Child & Adolescent Psychiatry/PsychologyErasmus Medical Center–Sophia Children's HospitalRotterdamthe Netherlands
| | - Romy Gaillard
- Department of PediatricsErasmus Medical Center–Sophia Children's HospitalRotterdamthe Netherlands
- Department of EpidemiologyErasmus Medical CenterRotterdamthe Netherlands
| | - Manon H. J. Hillegers
- Department of Child & Adolescent Psychiatry/PsychologyErasmus Medical Center–Sophia Children's HospitalRotterdamthe Netherlands
- Department of PsychiatryRudolf Magnus Brain Center, Utrecht University Medical CenterUtrechtthe Netherlands
| | - Henrik Larsson
- Department of Medical Epidemiology and BiostatisticsKarolinska InstituteStockholmSweden
- School of Medical SciencesÖrebro UniversityÖrebroSweden
| | - Sebastian Lundström
- Center for Ethics, Law and Mental HealthUniversity of GothenborgGothenborgSweden
| | - Paul Lichtenstein
- Department of Medical Epidemiology and BiostatisticsKarolinska InstituteStockholmSweden
| | | | - Meike Bartels
- Department of Biological PsychologyVrije UniversityAmsterdamthe Netherlands
| | - Dorret I. Boomsma
- Department of Biological PsychologyVrije UniversityAmsterdamthe Netherlands
| | - Henning Tiemeier
- Department of Child & Adolescent Psychiatry/PsychologyErasmus Medical Center–Sophia Children's HospitalRotterdamthe Netherlands
- Department of Social and Behavioral SciencesHarvard T. H. Chan School of Public Health, Harvard UniversityBostonMassachusettsUSA
| | - Pauline W. Jansen
- Department of Child & Adolescent Psychiatry/PsychologyErasmus Medical Center–Sophia Children's HospitalRotterdamthe Netherlands
- Department of Psychology, Education and Child StudiesErasmus University RotterdamRotterdamthe Netherlands
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Madrid-Valero JJ, Ordoñana JR, Klump KL, Burt SA. Children Sleep and Antisocial Behavior: Differential Association of Sleep with Aggression and Rule-Breaking. JOURNAL OF ABNORMAL CHILD PSYCHOLOGY 2018; 47:791-799. [PMID: 30280364 DOI: 10.1007/s10802-018-0480-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
There is a strong relationship between sleep and behavioral problems. These findings are often interpreted via environmental explanations, such that poor sleep directly exacerbates or causes symptoms of aggression and behavior problems. However, there are other possible explanations, such that the genes predicting poor sleep also predict aggression or rule-breaking. The current study sought to elucidate the origin of this relationship. The sample was composed of 1030 twin pairs (426 monozygotic and 604 dizygotic). The sample was 51.3% male with a mean age of 8.06 years (range 6-11.96; SD = 1.45). Aggression, rule-breaking and sleep were assessed through the Child Behavior Checklist (CBCL). We fitted bivariate Cholesky genetic models to the data, decomposing the variance within, and the covariance among, aggression, rule-breaking, and sleep functioning into their genetic and environmental components. Genetic correlations between all sleep variables and aggression were significant and moderate to large in magnitude, but mostly small and non-significant between sleep and rule-breaking. We did not find evidence of a causal or environmental relationship between the majority of sleep variables and aggression, but rather clear evidence of genetic pleiotropy. However, the pattern of associations between rule-breaking and sleep measures was less consistent. Aggression and rule-breaking appear to be differentially associated with sleep.
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Affiliation(s)
- Juan J Madrid-Valero
- Department of Human Anatomy and Psychobiology, University of Murcia, Campus de Espinardo 30100, Murcia, Spain.
- IMIB-Arrixaca, Murcia Institute of Biomedical Research, Murcia, Spain.
| | - Juan R Ordoñana
- Department of Human Anatomy and Psychobiology, University of Murcia, Campus de Espinardo 30100, Murcia, Spain
- IMIB-Arrixaca, Murcia Institute of Biomedical Research, Murcia, Spain
| | - Kelly L Klump
- Department of Psychology, Michigan State University, East Lansing, MI, USA
| | - S Alexandra Burt
- Department of Psychology, Michigan State University, East Lansing, MI, USA
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Bartels M, Hendriks A, Mauri M, Krapohl E, Whipp A, Bolhuis K, Conde LC, Luningham J, Fung Ip H, Hagenbeek F, Roetman P, Gatej R, Lamers A, Nivard M, van Dongen J, Lu Y, Middeldorp C, van Beijsterveldt T, Vermeiren R, Hankemeijer T, Kluft C, Medland S, Lundström S, Rose R, Pulkkinen L, Vuoksimaa E, Korhonen T, Martin NG, Lubke G, Finkenauer C, Fanos V, Tiemeier H, Lichtenstein P, Plomin R, Kaprio J, Boomsma DI. Childhood aggression and the co-occurrence of behavioural and emotional problems: results across ages 3-16 years from multiple raters in six cohorts in the EU-ACTION project. Eur Child Adolesc Psychiatry 2018; 27:1105-1121. [PMID: 29845340 PMCID: PMC6133086 DOI: 10.1007/s00787-018-1169-1] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2017] [Accepted: 05/16/2018] [Indexed: 12/15/2022]
Abstract
Childhood aggression and its resulting consequences inflict a huge burden on affected children, their relatives, teachers, peers and society as a whole. Aggression during childhood rarely occurs in isolation and is correlated with other symptoms of childhood psychopathology. In this paper, we aim to describe and improve the understanding of the co-occurrence of aggression with other forms of childhood psychopathology. We focus on the co-occurrence of aggression and other childhood behavioural and emotional problems, including other externalising problems, attention problems and anxiety-depression. The data were brought together within the EU-ACTION (Aggression in Children: unravelling gene-environment interplay to inform Treatment and InterventiON strategies) project. We analysed the co-occurrence of aggression and other childhood behavioural and emotional problems as a function of the child's age (ages 3 through 16 years), gender, the person rating the behaviour (father, mother or self) and assessment instrument. The data came from six large population-based European cohort studies from the Netherlands (2x), the UK, Finland and Sweden (2x). Multiple assessment instruments, including the Child Behaviour Checklist (CBCL), the Strengths and Difficulties Questionnaire (SDQ) and Multidimensional Peer Nomination Inventory (MPNI), were used. There was a good representation of boys and girls in each age category, with data for 30,523 3- to 4-year-olds (49.5% boys), 20,958 5- to 6-year-olds (49.6% boys), 18,291 7- to 8-year-olds (49.0% boys), 27,218 9- to 10-year-olds (49.4% boys), 18,543 12- to 13-year-olds (48.9% boys) and 10,088 15- to 16-year-olds (46.6% boys). We replicated the well-established gender differences in average aggression scores at most ages for parental ratings. The gender differences decreased with age and were not present for self-reports. Aggression co-occurred with the majority of other behavioural and social problems, from both externalising and internalising domains. At each age, the co-occurrence was particularly prevalent for aggression and oppositional and ADHD-related problems, with correlations of around 0.5 in general. Aggression also showed substantial associations with anxiety-depression and other internalizing symptoms (correlations around 0.4). Co-occurrence for self-reported problems was somewhat higher than for parental reports, but we found neither rater differences, nor differences across assessment instruments in co-occurrence patterns. There were large similarities in co-occurrence patterns across the different European countries. Finally, co-occurrence was generally stable across age and sex, and if any change was observed, it indicated stronger correlations when children grew older. We present an online tool to visualise these associations as a function of rater, gender, instrument and cohort. In addition, we present a description of the full EU-ACTION projects, its first results and the future perspectives.
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Affiliation(s)
- Meike Bartels
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands.
- Amsterdam Public Health Research Institute, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
- Amsterdam Neuroscience, Amsterdam, The Netherlands.
| | - Anne Hendriks
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | | | - Eva Krapohl
- Medical Research Council Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Alyce Whipp
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Koen Bolhuis
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Lucia Colodro Conde
- Psychiatric Genetics Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Justin Luningham
- Department of Psychology, University of Notre Dame, Notre Dame, USA
| | - Hill Fung Ip
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Fiona Hagenbeek
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Peter Roetman
- Curium-LUMC, Academic Centre of Child and Youth Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
| | - Raluca Gatej
- Curium-LUMC, Academic Centre of Child and Youth Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
| | - Audri Lamers
- Curium-LUMC, Academic Centre of Child and Youth Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
| | - Michel Nivard
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Jenny van Dongen
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Yi Lu
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Christel Middeldorp
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Amsterdam, The Netherlands
- University of Queensland, Brisbane, Australia
| | - Toos van Beijsterveldt
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Robert Vermeiren
- Curium-LUMC, Academic Centre of Child and Youth Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
- VU Medical Centre, Amsterdam, The Netherlands
| | - Thomas Hankemeijer
- Division of Analytical Biosciences, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands
| | - Cees Kluft
- Good Biomarker Sciences, Leiden, The Netherlands
| | - Sarah Medland
- Psychiatric Genetics Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Sebastian Lundström
- Gillberg Neuropsychiatry Centre, University of Gothenburg, Gothenburg, Sweden
- Centre for Ethics, Law and Mental Health (CELAM), University of Gothenburg, Gothenburg, Sweden
| | - Richard Rose
- Department of Psychological & Brain Sciences, Indiana University, Bloomington, IN, USA
| | - Lea Pulkkinen
- Department of Psychology, University of Jyvaskyla, Jyvaskyla, Finland
| | - Eero Vuoksimaa
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Tellervo Korhonen
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | | | - Gitta Lubke
- Department of Psychology, University of Notre Dame, Notre Dame, USA
| | - Catrin Finkenauer
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
- Youth Studies, Interdisciplinary Center, Utrecht University, Utrecht, The Netherlands
| | | | - Henning Tiemeier
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Child and Adolescent Psychiatry, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Psychiatry, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Robert Plomin
- Medical Research Council Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Dorret I Boomsma
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Amsterdam, The Netherlands
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Polygenic risk, family cohesion, and adolescent aggression in Mexican American and European American families: Developmental pathways to alcohol use. Dev Psychopathol 2018; 30:1715-1728. [PMID: 30168407 DOI: 10.1017/s0954579418000901] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Poor family cohesion and elevated adolescent aggression are associated with greater alcohol use in adolescence and early adulthood. In addition, evocative gene-environment correlations (rGEs) can underlie the interplay between offspring characteristics and negative family functioning, contributing to substance use. Gene-environment interplay has rarely been examined in racial/ethnic minority populations. The current study examined adolescents' polygenic risk scores for aggression in evocative rGEs underlying aggression and family cohesion during adolescence, their contributions to alcohol use in early adulthood (n = 479), and differences between Mexican American and European American subsamples. Results suggest an evocative rGE between polygenic risk scores, aggression, and low family cohesion, with aggression contributing to low family cohesion over time. Greater family cohesion was associated with lower levels of alcohol use in early adulthood and this association was stronger for Mexican American adolescents compared to European American adolescents. Results are discussed with respect to integration of culture and racial/ethnic minority samples into genetic research and implications for alcohol use.
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Gard AM, Dotterer HL, Hyde LW. Genetic influences on antisocial behavior: recent advances and future directions. Curr Opin Psychol 2018; 27:46-55. [PMID: 30145531 DOI: 10.1016/j.copsyc.2018.07.013] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Revised: 07/24/2018] [Accepted: 07/30/2018] [Indexed: 12/24/2022]
Abstract
Understanding the etiology of antisocial behavior (i.e. violence, criminality, rule-breaking), is essential to the development of more effective prevention and intervention strategies. We provide a summary of the genetic correlates of antisocial behavior, drawing upon findings from behavioral, molecular, and statistical genetics. Across methodologies, our review highlights the centrality of environmental moderators of genetic effects, and how behavioral heterogeneity in antisocial behavior is an important consideration for genetic studies. We also review novel analytic techniques and neurogenetic approaches that can be used to examine how genetic variation predicts antisocial behavior. Finally, to illustrate how findings may converge across approaches, we describe pathways from genetic variability in oxytocin signaling to subtypes of antisocial behavior.
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Affiliation(s)
- Arianna M Gard
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
| | - Hailey L Dotterer
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
| | - Luke W Hyde
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA; Center for Human Growth and Development, University of Michigan, Ann Arbor, MI, USA; Survey Research Center of the Institute for Social Research, University of Michigan, Ann Arbor, MI, USA.
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Kim E, Yim HW, Jeong H, Jo SJ, Lee HK, Son HJ, Han HH. The association between aggression and risk of Internet gaming disorder in Korean adolescents: the mediation effect of father-adolescent communication style. Epidemiol Health 2018; 40:e2018039. [PMID: 30089352 PMCID: PMC6232655 DOI: 10.4178/epih.e2018039] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2018] [Accepted: 08/08/2018] [Indexed: 01/03/2023] Open
Abstract
OBJECTIVES Open and supportive communication between parents and children is known to reduce adolescents' delinquent behavior. Recently, the risk of Internet gaming disorder (IGD) has been increasing in adolescents. The purpose of this study was to investigate the mediating effects of parent-child communication styles on the relationship between adolescent aggressiveness and risk of IGD. METHODS Participants in this study were 402 first-year students from 4 middle schools in Seoul who enrolled in the Internet user Cohort for Unbiased Recognition of gaming disorder in Early adolescence (iCURE) and completed baseline assessment in 2016. The structural equation model was constructed based on an aggression questionnaire, the Internet game use-elicited symptom screen, a mother-child communication inventory, and a father-child communication inventory. RESULTS Adolescents' aggressiveness was found to be related to their risk of IGD. The father-child communication style mediated the relationship between aggression and risk of IGD. However, the mother-child communication style had no mediating effect. CONCLUSIONS Our findings suggest that fathers should make an effort to improve open and positive communication skills with their children, because the father-child communication style plays an important role in the relationship between adolescent aggressiveness and risk of IGD.
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Affiliation(s)
- Eunjin Kim
- Department of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Hyeon Woo Yim
- Department of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Hyunsuk Jeong
- Department of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Sun-Jin Jo
- Department of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Hae Kook Lee
- Department of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Hye Jung Son
- Department of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Hyun-Ho Han
- Department of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea
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Ruisch IH, Buitelaar JK, Glennon JC, Hoekstra PJ, Dietrich A. Pregnancy risk factors in relation to oppositional-defiant and conduct disorder symptoms in the Avon Longitudinal Study of Parents and Children. J Psychiatr Res 2018; 101:63-71. [PMID: 29550610 DOI: 10.1016/j.jpsychires.2018.02.020] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2017] [Revised: 02/19/2018] [Accepted: 02/22/2018] [Indexed: 02/06/2023]
Abstract
BACKGROUND Pregnancy factors have been implicated in offspring oppositional-defiant disorder (ODD) and conduct disorder (CD) symptoms. Literature still holds notable limitations, such as studying only a restricted set of pregnancy factors, use of screening questionnaires which assess broadly defined outcome measures, and lack of control for disruptive behavior comorbidity and genetic confounds. We aimed to address these gaps by prospectively studying a broad range of pregnancy factors in relation to both offspring ODD and CD symptomatology in the Avon Longitudinal Study of Parent and Children. METHODS Outcomes were ODD and CD symptom scores at age 7;9 years using the Development and Well-Being Assessment interview. We analyzed maternal (N ≈ 6300) and teacher ratings (N ≈ 4400) of ODD and CD scores separately using negative binomial regression in multivariable models. Control variables included comorbid attention-deficit/hyperactivity disorder symptoms, ODD or CD symptoms as appropriate, and genetic risk scores based on an independent CD genome-wide association study. RESULTS Higher ODD symptom scores were linked to paracetamol use (IRR = 1.24 [98.3% confidence interval 1.05-1.47], P = 0.002, teacher ratings) and life events stress (IRR = 1.22 [1.07-1.39], P = 0.002, maternal ratings) during pregnancy. Higher CD symptom scores were linked to maternal smoking (IRR = 1.33 [1.18-1.51], P < 0.001, maternal ratings), life events stress (IRR = 1.24 [1.11-1.38], P < 0.001, maternal ratings) and depressive symptoms (IRR = 1.14 [1.01-1.30], P = 0.006, maternal ratings) during pregnancy. CONCLUSIONS Common and potentially preventable pregnancy risk factors were independently related to both offspring ODD and CD symptomatology in children from the general population. Future studies should further address genetic confounds and confounding by environmental factors later in life.
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Affiliation(s)
- I Hyun Ruisch
- University of Groningen, University Medical Center Groningen, Department of Child and Adolescent Psychiatry, Hanzeplein 1, 9713GZ Groningen, The Netherlands.
| | - Jan K Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525GA Nijmegen, The Netherlands; Karakter Child and Adolescent Psychiatry University Centre, Reinier Postlaan 12, 6525 GC Nijmegen, The Netherlands.
| | - Jeffrey C Glennon
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525GA Nijmegen, The Netherlands.
| | - Pieter J Hoekstra
- University of Groningen, University Medical Center Groningen, Department of Child and Adolescent Psychiatry, Hanzeplein 1, 9713GZ Groningen, The Netherlands.
| | - Andrea Dietrich
- University of Groningen, University Medical Center Groningen, Department of Child and Adolescent Psychiatry, Hanzeplein 1, 9713GZ Groningen, The Netherlands.
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Landefeld CC, Hodgkinson CA, Spagnolo PA, Marietta CA, Shen PH, Sun H, Zhou Z, Lipska BK, Goldman D. Effects on gene expression and behavior of untagged short tandem repeats: the case of arginine vasopressin receptor 1a (AVPR1a) and externalizing behaviors. Transl Psychiatry 2018; 8:72. [PMID: 29581423 PMCID: PMC5913313 DOI: 10.1038/s41398-018-0120-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2017] [Accepted: 11/13/2017] [Indexed: 12/31/2022] Open
Abstract
Genome-wide association studies (GWAS) of complex, heritable, behavioral phenotypes have yielded an incomplete accounting of the genetic influences. The identified loci explain only a portion of the observed heritability, and few of the loci have been shown to be functional. It is clear that current GWAS techniques overlook key components of phenotypically relevant genetic variation, either because of sample size, as is frequently asserted, or because of methodology. Here we use arginine vasopressin receptor 1a (AVPR1a) as an in-depth model of a methodologic limitation of GWAS: the functional genetic variation (in the form of short tandem repeats) of this key gene involved in affiliative behavior cannot be captured by current GWAS methodologies. Importantly, we find evidence of differential allele expression, twofold or more, in at least a third of human brain samples heterozygous for a reporter SNP in the AVPR1a transcript. We also show that this functional effect and a downstream phenotype, externalizing behavior, are predicted by AVPR1a STRs but not SNPs.
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Affiliation(s)
- Clare C Landefeld
- 0000 0004 0435 0569grid.254293.bCleveland Clinic Lerner College of Medicine at Case Western Reserve University, Cleveland, OH 44195 USA ,0000 0001 2297 5165grid.94365.3dLaboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Rockville, MD 20852 USA
| | - Colin A Hodgkinson
- 0000 0001 2297 5165grid.94365.3dLaboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Rockville, MD 20852 USA
| | - Primavera A Spagnolo
- 0000 0001 2297 5165grid.94365.3dOffice of the Clinical Director, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD 20852 USA
| | - Cheryl A Marietta
- 0000 0001 2297 5165grid.94365.3dLaboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Rockville, MD 20852 USA
| | - Pei-Hong Shen
- 0000 0001 2297 5165grid.94365.3dLaboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Rockville, MD 20852 USA
| | - Hui Sun
- 0000 0001 2297 5165grid.94365.3dLaboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Rockville, MD 20852 USA
| | - Zhifeng Zhou
- 0000 0001 2297 5165grid.94365.3dLaboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Rockville, MD 20852 USA
| | - Barbara K Lipska
- 0000 0001 2297 5165grid.94365.3dHuman Brain Collection Core, National Institutes of Mental Health, National Institutes of Health, Bethesda, MD 20814 USA
| | - David Goldman
- Laboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Rockville, MD, 20852, USA. .,Office of the Clinical Director, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, 20852, USA.
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Hendriks AM, Bartels M, Colins OF, Finkenauer C. Childhood aggression: A synthesis of reviews and meta-analyses to reveal patterns and opportunities for prevention and intervention strategies. Neurosci Biobehav Rev 2018; 91:278-291. [PMID: 29580961 DOI: 10.1016/j.neubiorev.2018.03.021] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2017] [Revised: 03/19/2018] [Accepted: 03/20/2018] [Indexed: 01/27/2023]
Abstract
This study provides a synthesis of meta-analyses and systematic reviews on non-pharmacological treatments for childhood aggression. Treatments referred to universal prevention, selective prevention, indicated prevention, or intervention (Mrazek and Haggerty, 1994). Seventy-two meta-analyses and systematic reviews met the inclusion criteria. We describe their characteristics, effect sizes across types of treatments, and the effects of various moderators. For universal and selective prevention, effects were mostly absent or small; for indicated prevention and interventions, effects were mostly small or medium. Only two moderators had a positive effect on treatment effectiveness, namely pre-test levels of aggression and parental involvement. These results identified similarities between indicated prevention and intervention treatments, on the one hand, and universal prevention and selective prevention, on the other. Our findings suggest that research distinguishing between targets of treatments (i.e., factors associated with childhood aggression vs. present aggressive behaviors) would be promising. Moreover, to further increase effectiveness of treatments for childhood aggression, individual differences warrant scientific attention.
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Affiliation(s)
- A M Hendriks
- Department of Biological Psychology, Vrije Universiteit Amsterdam, van den Boechorststraat 1, 1081 BT Amsterdam, The Netherlands; Amsterdam Public Health Research Institute, Amsterdam, The Netherlands.
| | - M Bartels
- Department of Biological Psychology, Vrije Universiteit Amsterdam, van den Boechorststraat 1, 1081 BT Amsterdam, The Netherlands; Amsterdam Public Health Research Institute, Amsterdam, The Netherlands.
| | - O F Colins
- Department of Child and Adolescent Psychiatry, Leiden University Medical Centre, Endegeesterstraatweg 27, 2342 AK Oegstgeest, The Netherlands.
| | - C Finkenauer
- Department of Biological Psychology, Vrije Universiteit Amsterdam, van den Boechorststraat 1, 1081 BT Amsterdam, The Netherlands; Interdisciplinary Social Sciences: Youth Studies, Utrecht University, Faculty of Social and Behavioural Sciences, Martinus J. Langeveld Building, Heidelberglaan 1, 3584 CH Utrecht, The Netherlands.
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43
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Achterberg M, van Duijvenvoorde ACK, van der Meulen M, Bakermans-Kranenburg MJ, Crone EA. Heritability of aggression following social evaluation in middle childhood: An fMRI study. Hum Brain Mapp 2018. [PMID: 29528161 PMCID: PMC6055731 DOI: 10.1002/hbm.24043] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
Abstract
Middle childhood marks an important phase for developing and maintaining social relations. At the same time, this phase is marked by a gap in our knowledge of the genetic and environmental influences on brain responses to social feedback and their relation to behavioral aggression. In a large developmental twin sample (509 7‐ to 9‐year‐olds), the heritability and neural underpinnings of behavioral aggression following social evaluation were investigated, using the Social Network Aggression Task (SNAT). Participants viewed pictures of peers that gave positive, neutral, or negative feedback to the participant's profile. Next, participants could blast a loud noise toward the peer as an index of aggression. Genetic modeling revealed that aggression following negative feedback was influenced by both genetics and environmental (shared as well as unique environment). On a neural level (n = 385), the anterior insula and anterior cingulate cortex gyrus (ACCg) responded to both positive and negative feedback, suggesting they signal for social salience cues. The medial prefrontal cortex (mPFC) and inferior frontal gyrus (IFG) were specifically activated during negative feedback, whereas positive feedback resulted in increased activation in caudate, supplementary motor cortex (SMA), and dorsolateral prefrontal cortex (DLPFC). Decreased SMA and DLPFC activation during negative feedback was associated with more aggressive behavior after negative feedback. Moreover, genetic modeling showed that 13%–14% of the variance in dorsolateral PFC activity was explained by genetics. Our results suggest that the processing of social feedback is partly explained by genetic factors, whereas shared environmental influences play a role in behavioral aggression following feedback.
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Affiliation(s)
- Michelle Achterberg
- Leiden Consortium on Individual Development, Leiden University, AK Leiden, 2333, The Netherlands.,Institute of Psychology, Leiden University, AK Leiden, 2333, The Netherlands.,Leiden Institute for Brain and Cognition, Leiden University, ZA Leiden, 2333, The Netherlands
| | - Anna C K van Duijvenvoorde
- Leiden Consortium on Individual Development, Leiden University, AK Leiden, 2333, The Netherlands.,Institute of Psychology, Leiden University, AK Leiden, 2333, The Netherlands.,Leiden Institute for Brain and Cognition, Leiden University, ZA Leiden, 2333, The Netherlands
| | - Mara van der Meulen
- Leiden Consortium on Individual Development, Leiden University, AK Leiden, 2333, The Netherlands.,Institute of Psychology, Leiden University, AK Leiden, 2333, The Netherlands.,Leiden Institute for Brain and Cognition, Leiden University, ZA Leiden, 2333, The Netherlands
| | - Marian J Bakermans-Kranenburg
- Leiden Consortium on Individual Development, Leiden University, AK Leiden, 2333, The Netherlands.,Leiden Institute for Brain and Cognition, Leiden University, ZA Leiden, 2333, The Netherlands
| | - Eveline A Crone
- Leiden Consortium on Individual Development, Leiden University, AK Leiden, 2333, The Netherlands.,Institute of Psychology, Leiden University, AK Leiden, 2333, The Netherlands.,Leiden Institute for Brain and Cognition, Leiden University, ZA Leiden, 2333, The Netherlands
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44
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Willems YE, Dolan CV, van Beijsterveldt CEM, de Zeeuw EL, Boomsma DI, Bartels M, Finkenauer C. Genetic and Environmental Influences on Self-Control: Assessing Self-Control with the ASEBA Self-Control Scale. Behav Genet 2018; 48:135-146. [PMID: 29404830 PMCID: PMC5846837 DOI: 10.1007/s10519-018-9887-1] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2017] [Accepted: 01/24/2018] [Indexed: 11/25/2022]
Abstract
This study used a theoretically-derived set of items of the Achenbach System of Empirically Based Assessment to develop the Achenbach Self-Control Scale (ASCS) for 7-16 year olds. Using a large dataset of over 20,000 children, who are enrolled in the Netherlands Twin Register, we demonstrated the psychometric properties of the ASCS for parent-, self- and teacher-report by examining internal and criterion validity, and inter-rater and test-retest reliability. We found associations between the ASCS and measures of well-being, educational achievement, and substance use. Next, we applied the classical twin design to estimate the genetic and environmental contributions to self-control. Genetic influences accounted for 64-75% of the variance in self-control based on parent- and teacher-report (age 7-12), and for 47-49% of the variance in self-control based on self-report (age 12-16), with the remaining variance accounted by non-shared environmental influences. In conclusion, we developed a validated and accessible self-control scale, and show that genetic influences explain a majority of the individual differences in self-control across youth aged 7-16 years.
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Affiliation(s)
- Yayouk E Willems
- Department of Biological Psychology, Vrije Universiteit Amsterdam, van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands.
- Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
- Department of Interdisciplinary Social Science, Universiteit Utrecht, Utrecht, The Netherlands.
| | - Conor V Dolan
- Department of Biological Psychology, Vrije Universiteit Amsterdam, van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Catharina E M van Beijsterveldt
- Department of Biological Psychology, Vrije Universiteit Amsterdam, van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Eveline L de Zeeuw
- Department of Biological Psychology, Vrije Universiteit Amsterdam, van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Dorret I Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
| | - Meike Bartels
- Department of Biological Psychology, Vrije Universiteit Amsterdam, van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
| | - Catrin Finkenauer
- Department of Biological Psychology, Vrije Universiteit Amsterdam, van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
- Department of Interdisciplinary Social Science, Universiteit Utrecht, Utrecht, The Netherlands
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45
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Paquin S, Lacourse E, Brendgen M, Vitaro F, Dionne G, Tremblay RE, Boivin M. Heterogeneity in the development of proactive and reactive aggression in childhood: Common and specific genetic - environmental factors. PLoS One 2017; 12:e0188730. [PMID: 29211810 PMCID: PMC5718601 DOI: 10.1371/journal.pone.0188730] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Accepted: 11/13/2017] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Few studies are grounded in a developmental framework to study proactive and reactive aggression. Furthermore, although distinctive correlates, predictors and outcomes have been highlighted, proactive and reactive aggression are substantially correlated. To our knowledge, no empirical study has examined the communality of genetic and environmental underpinning of the development of both subtypes of aggression. The current study investigated the communality and specificity of genetic-environmental factors related to heterogeneity in proactive and reactive aggression's development throughout childhood. METHODS Participants were 223 monozygotic and 332 dizygotic pairs. Teacher reports of aggression were obtained at 6, 7, 9, 10 and 12 years of age. Joint development of both phenotypes were analyzed through a multivariate latent growth curve model. Set point, differentiation, and genetic maturation/environmental modulation hypotheses were tested using a biometric decomposition of intercepts and slopes. RESULTS Common genetic factors accounted for 64% of the total variation of proactive and reactive aggression's intercepts. Two other sets of uncorrelated genetic factors accounted for reactive aggression's intercept (17%) on the one hand, and for proactive (43%) and reactive (13%) aggression's slopes on the other. Common shared environmental factors were associated with proactive aggression's intercept (21%) and slope (26%) and uncorrelated shared environmental factors were also associated with reactive aggression's slope (14%). Common nonshared environmental factors explained most of the remaining variability of proactive and reactive aggression slopes. CONCLUSIONS A genetic differentiation hypothesis common to both phenotypes was supported by common genetic factors associated with the developmental heterogeneity of proactive and reactive aggression in childhood. A genetic maturation hypothesis common to both phenotypes, albeit stronger for proactive aggression, was supported by common genetic factors associated with proactive and reactive aggression slopes. A shared environment set point hypothesis for proactive aggression was supported by shared environmental factors associated with proactive aggression baseline and slope. Although there are many common features to proactive and reactive aggression, the current research underscores the advantages of differentiating them when studying aggression.
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Affiliation(s)
- Stéphane Paquin
- Research Unit on Children’s Psychosocial Adjustment, Ste-Justine Hospital Research Center, Montreal, Canada
- Department of Sociology, Université de Montréal, Montreal, Canada
| | - Eric Lacourse
- Research Unit on Children’s Psychosocial Adjustment, Ste-Justine Hospital Research Center, Montreal, Canada
- Department of Sociology, Université de Montréal, Montreal, Canada
| | - Mara Brendgen
- Research Unit on Children’s Psychosocial Adjustment, Ste-Justine Hospital Research Center, Montreal, Canada
- Department of Psychology, Université du Québec à Montréal, Montreal, Canada
| | - Frank Vitaro
- Research Unit on Children’s Psychosocial Adjustment, Ste-Justine Hospital Research Center, Montreal, Canada
- School of Psychoeducation, Université de Montréal, Montreal, Canada
| | - Ginette Dionne
- Research Unit on Children’s Psychosocial Adjustment, Ste-Justine Hospital Research Center, Montreal, Canada
- Department of Psychology, Université Laval, Montreal, Canada
| | - Richard Ernest Tremblay
- Research Unit on Children’s Psychosocial Adjustment, Ste-Justine Hospital Research Center, Montreal, Canada
- Departments of Pediatrics and Psychology, Université de Montréal, Montreal, Canada
- School of Public Health, Physiotherapy and Populations Sciences, University College Dublin, Dublin, Ireland
- Institute of Genetic, Neurobiological and Social Foundations of Child Development, Tomsk State University, Tomsk, Russian Federation
| | - Michel Boivin
- Research Unit on Children’s Psychosocial Adjustment, Ste-Justine Hospital Research Center, Montreal, Canada
- Department of Psychology, Université Laval, Montreal, Canada
- Institute of Genetic, Neurobiological and Social Foundations of Child Development, Tomsk State University, Tomsk, Russian Federation
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46
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Wetherill L, Foroud T, Goodlett C. Meta-Analyses of Externalizing Disorders: Genetics or Prenatal Alcohol Exposure? Alcohol Clin Exp Res 2017; 42:162-172. [PMID: 29063614 DOI: 10.1111/acer.13535] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2017] [Accepted: 10/12/2017] [Indexed: 12/14/2022]
Abstract
BACKGROUND Externalizing disorders are heritable precursors to alcohol dependence, common in children of alcoholics (COA), and in children with prenatal alcohol exposure (PAE). Pregnancies involving alcohol exposure sufficient to affect the fetus may involve women with genetic risk for alcohol dependence. We hypothesized that known PAE will increase the odds of having an externalizing disorder compared to COA. METHODS The odds ratios of 3 externalizing disorders (attention-deficit hyperactivity disorder [ADHD], conduct disorder [CD], and oppositional defiant disorder [ODD]) were obtained for 2 domains: (i) PAE and (ii) COA, by estimating the logged odds ratio (LOR) for each study. Permutation tests were implemented to compare LORs for PAE versus COA studies within each disorder, including PAE versus an alcohol dependent (AD) mother and PAE versus an AD father. RESULTS In PAE studies, the odds of ADHD and CD were elevated. Rates of all 3 disorders were elevated in COA studies. Permutation tests revealed that the mean LOR for ADHD was significantly higher in PAE studies compared to: COA (p = 0.01), AD mother (p < 0.05), and AD father (p = 0.03). No differences were found for ODD (p = 0.09) or CD (p = 0.21). CONCLUSIONS These results provide compelling evidence of an increased risk of ADHD in those with PAE beyond that due to parental alcohol dependence or a genetic liability, consistent with a unique etiology most likely due to direct alcohol exposure during prenatal development.
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Affiliation(s)
- Leah Wetherill
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana.,Department of Psychology, Indiana University-Purdue University Indianapolis, Indianapolis, Indiana
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana
| | - Charles Goodlett
- Department of Psychology, Indiana University-Purdue University Indianapolis, Indianapolis, Indiana
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47
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Pinna M, Manchia M. Preventing aggressive/violent behavior: a role for biomarkers? Biomark Med 2017; 11:701-704. [PMID: 30669857 DOI: 10.2217/bmm-2017-0135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Affiliation(s)
- Martina Pinna
- Unit of Psychiatry, Department of Mental Health & Addiction Services, Regional Health Agency, Oristano, Italy.,Section of Neurosciences & Clinical Pharmacology, Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
| | - Mirko Manchia
- Department of Pharmacology, Dalhousie University, Halifax, Nova Scotia, Canada.,Section of Psychiatry, Department of Medical Sciences & Public Health, University of Cagliari, Cagliari, Italy
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48
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Luningham JM, McArtor DB, Bartels M, Boomsma DI, Lubke GH. Sum Scores in Twin Growth Curve Models: Practicality Versus Bias. Behav Genet 2017; 47:516-536. [PMID: 28780665 PMCID: PMC5719894 DOI: 10.1007/s10519-017-9864-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2016] [Accepted: 07/15/2017] [Indexed: 11/28/2022]
Abstract
To study behavioral or psychiatric phenotypes, multiple indices of the behavior or disorder are often collected that are thought to best reflect the phenotype. Combining these items into a single score (e.g. a sum score) is a simple and practical approach for modeling such data, but this simplicity can come at a cost in longitudinal studies, where the relevance of individual items often changes as a function of age. Such changes violate the assumptions of longitudinal measurement invariance (MI), and this violation has the potential to obfuscate the interpretation of the results of latent growth models fit to sum scores. The objectives of this study are (1) to investigate the extent to which violations of longitudinal MI lead to bias in parameter estimates of the average growth curve trajectory, and (2) whether absence of MI affects estimates of the heritability of these growth curve parameters. To this end, we analytically derive the bias in the estimated means and variances of the latent growth factors fit to sum scores when the assumption of longitudinal MI is violated. This bias is further quantified via Monte Carlo simulation, and is illustrated in an empirical analysis of aggression in children aged 3-12 years. These analyses show that measurement non-invariance across age can indeed bias growth curve mean and variance estimates, and our quantification of this bias permits researchers to weigh the costs of using a simple sum score in longitudinal studies. Simulation results indicate that the genetic variance decomposition of growth factors is, however, not biased due to measurement non-invariance across age, provided the phenotype is measurement invariant across birth-order and zygosity in twins.
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Affiliation(s)
- Justin M Luningham
- Department of Psychology, University of Notre Dame, 220 C Haggar Hall, Notre Dame, IN, 46556, USA.
| | - Daniel B McArtor
- Department of Psychology, University of Notre Dame, 220 C Haggar Hall, Notre Dame, IN, 46556, USA
| | - Meike Bartels
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Dorret I Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Gitta H Lubke
- Department of Psychology, University of Notre Dame, 220 C Haggar Hall, Notre Dame, IN, 46556, USA
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49
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Manchia M, Fanos V. Targeting aggression in severe mental illness: The predictive role of genetic, epigenetic, and metabolomic markers. Prog Neuropsychopharmacol Biol Psychiatry 2017; 77:32-41. [PMID: 28372995 DOI: 10.1016/j.pnpbp.2017.03.024] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2016] [Revised: 03/15/2017] [Accepted: 03/30/2017] [Indexed: 12/28/2022]
Abstract
Human aggression is a complex and widespread social behavior that is overrepresented in individuals affected by severe mental illness (SMI), such as schizophrenia (SCZ), bipolar disorder (BD), autism spectrum disorder (ASD), and attention-deficit/hyperactivity disorder (ADHD). A substantial proportion of the liability threshold for aggressive behavior is determined by genetic factors, and environmental moderators might precipitate the manifestation of this behavioral phenotype through modification of gene expression via the epigenetic machinery. These specific alterations in the genetic and epigenetic make-up of aggressive individuals might determine distinct biochemical signatures detectable through metabolomics. An additional pathophysiological component playing a role in aggressive behavior might be determined by alterations of gut microbiota. Here, we present a selective review of human data on genetic, epigenetic, and metabolomic markers of aggressive behavior in SMI, discussing also the available evidence on the role of microbiome alterations. Clinical implication of these evidences, as well as future perspectives, will be discussed.
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Affiliation(s)
- Mirko Manchia
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy; Department of Pharmacology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Vassilios Fanos
- Department of Surgical Sciences, University of Cagliari and Neonatal Intensive Care Unit, Cagliari, Italy; Puericulture Institute and Neonatal Section, Azienda Ospedaliera Universitaria, Cagliari, Italy.
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50
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Asherson P, Cormand B. The genetics of aggression: Where are we now? Am J Med Genet B Neuropsychiatr Genet 2016; 171:559-61. [PMID: 27061441 DOI: 10.1002/ajmg.b.32450] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2016] [Accepted: 03/21/2016] [Indexed: 11/09/2022]
Abstract
Aggression, an overt behaviour with the intention to inflict damage, is a physiological trait with important roles throughout evolution, both in defence and predation. However, when expressed in humans in the wrong context, aggression leads to social maladjustment and crime. This special issue is about the genetic and neurobiological basis for aggression. Most of the 12 works presented here have been prepared by members of five international consortia established under the auspice of the FP7 and H2020 programs of the European Union to investigate different aspects of aggression and related behavioural phenotypes, including delineation of subtypes, aetiological mechanisms, neurobiology, neuroimaging, biomarkers, animal models and development and assessment of new treatments. Research on human aggression has largely focused on the societal causes of violent behaviour with relatively little focus on the underlying neuroscientific basis. However, interesting findings are emerging which suggest that by identifying distinct pathways to aggression, better targeting of social, psychological and medical treatments, can lead to improved outcomes for individuals and society. This issue represents a state of the art review of current neurobiological understanding of human aggression and a starting point for concerted efforts to move the field towards the development of new strategies for prevention and treatment. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Philip Asherson
- Social Genetic and Developmental Psychiatry, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Bru Cormand
- Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalonia, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Spain.,Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Catalonia, Spain
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