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Reynolds M, Kirisci L, Zhai ZW, Tarter R. Substance use disorder is the outcome of deviant socialization: A prospective investigation spanning childhood to adulthood. Pharmacol Biochem Behav 2023; 227-228:173585. [PMID: 37308041 PMCID: PMC10357486 DOI: 10.1016/j.pbb.2023.173585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 06/07/2023] [Accepted: 06/09/2023] [Indexed: 06/14/2023]
Abstract
OBJECTIVE Disinhibitory behavior during childhood and adolescence has been frequently shown to amplify the risk for substance use disorder (SUD) in adulthood. This prospective study examined the hypothesis that poor communication with parents and association with deviant peers comprise an SUD-promoting environtype which catalyzes transition of disinhibitory behavior toward SUD. METHOD Male (N = 499) and female (N = 195) youths were tracked from 10 to 12 to 30 years of age. Path analysis evaluated the patterning of disinhibitory behavior and social environment during childhood on substance use during adolescence, and antisocial personality without co-occurring SUD in early adulthood and subsequently substance use disorder (SUD). RESULTS Disinhibitory behavior (SUD vulnerability) in childhood predicts antisociality without SUD (age 22) that segues to SUD (age 23-30) whereas the environtype (parents and peers) predicts substance use during adolescence which predicts antisocial personality leading to SUD. Antisociality without SUD in early adulthood mediates the association of substance use during adolescence and SUD. CONCLUSION Disinhibitory behavior and deviance-promoting social environment conjointly promote development of SUD via deviant socialization.
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Affiliation(s)
- Maureen Reynolds
- Department of Pharmaceutical Sciences, University of Pittsburgh, School of Pharmacy, 3501 Terrace Street, 10064 Salk Hall, Pittsburgh, PA 15261, United States of America.
| | - Levent Kirisci
- Department of Pharmaceutical Sciences, University of Pittsburgh, School of Pharmacy, 3501 Terrace Street, 10064 Salk Hall, Pittsburgh, PA 15261, United States of America
| | - Zu Wei Zhai
- Program in Neuroscience, Middlebury College, McCardell Bicentennial Hall, Middlebury, VT 05753, United States of America
| | - Ralph Tarter
- Department of Pharmaceutical Sciences, University of Pittsburgh, School of Pharmacy, 3501 Terrace Street, 10064 Salk Hall, Pittsburgh, PA 15261, United States of America
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2
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Haan E, Westmoreland KE, Schellhas L, Sallis HM, Taylor G, Zuccolo L, Munafò MR. Prenatal smoking, alcohol and caffeine exposure and offspring externalizing disorders: a systematic review and meta-analysis. Addiction 2022; 117:2602-2613. [PMID: 35385887 DOI: 10.1111/add.15858] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 02/09/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND AND AIMS Several studies have indicated an association between maternal prenatal substance use and offspring externalizing disorders; however, it is uncertain whether this relationship is causal. We conducted a systematic review to determine: (1) if the literature supports a causal role of maternal prenatal substance use on offspring externalizing disorders diagnosis and (2) whether these associations differ across externalizing disorders. METHODS We searched Web of Science, Embase, PsycINFO and Medline databases. Risk of bias assessment was conducted using the Newcastle-Ottawa Scale (NOS), and where possible meta-analysis was conducted for studies classed as low risk of bias. We included studies of any design that examined prenatal smoking, alcohol or caffeine use. Studies in non-English language, fetal alcohol syndrome and comorbid autism spectrum disorders were excluded. Participants in the included studies were mothers and their offspring. Measurements included prenatal smoking, alcohol or caffeine use as an exposure, and diagnosis of attention-deficit hyperactivity disorder (ADHD), conduct disorder (CD) and oppositional defiant disorder (ODD) in offspring as an outcome. RESULTS We included 63 studies, 46 of which investigated smoking and ADHD. All studies were narratively synthesized, and seven studies on smoking and ADHD were meta-analysed. The largest meta-analysis based on genetically sensitive design included 1 011 546 participants and did not find evidence for an association [odds ratio (OR)1-9 cigarettes = 0.90, 95% confidence interval (CI) = 0.83-1.11; OR > 10 cigarettes = 1.04, 95% CI = 0.79-1.36). Studies on alcohol exposure in all the outcomes reported inconsistent findings and no strong conclusions on causality can be made. Studies on caffeine exposure were mainly limited to ADHD and these studies do not support a causal effect. CONCLUSIONS There appears to be no clear evidence to support a causal relationship between maternal prenatal smoking and offspring attention-deficit hyperactivity disorder. Findings with alcohol and caffeine exposures and conduct disorder and oppositional-defiant disorder need more research, using more genetically sensitive designs.
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Affiliation(s)
- Elis Haan
- School of Psychological Science, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | | | - Laura Schellhas
- School of Psychological Science, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Hannah M Sallis
- School of Psychological Science, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Gemma Taylor
- Addiction and Mental Health Group (AIM), Department of Psychology, University of Bath, Bath, UK
| | - Luisa Zuccolo
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Marcus R Munafò
- School of Psychological Science, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
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3
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De Angelis F, Wendt FR, Pathak GA, Tylee DS, Goswami A, Gelernter J, Polimanti R. Drinking and smoking polygenic risk is associated with childhood and early-adulthood psychiatric and behavioral traits independently of substance use and psychiatric genetic risk. Transl Psychiatry 2021; 11:586. [PMID: 34775470 PMCID: PMC8590689 DOI: 10.1038/s41398-021-01713-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 10/22/2021] [Accepted: 10/29/2021] [Indexed: 11/09/2022] Open
Abstract
Alcohol drinking and tobacco smoking are hazardous behaviors associated with a wide range of adverse health outcomes. In this study, we explored the association of polygenic risk scores (PRS) related to drinks per week, age of smoking initiation, smoking initiation, cigarettes per day, and smoking cessation with 433 psychiatric and behavioral traits in 4498 children and young adults (aged 8-21) of European ancestry from the Philadelphia neurodevelopmental cohort. After applying a false discovery rate multiple testing correction accounting for the number of PRS and traits tested, we identified 36 associations related to psychotic symptoms, emotion and age recognition social competencies, verbal reasoning, anxiety-related traits, parents' education, and substance use. These associations were independent of the genetic correlations among the alcohol-drinking and tobacco-smoking traits and those with cognitive performance, educational attainment, risk-taking behaviors, and psychopathology. The removal of participants endorsing substance use did not affect the associations of each PRS with psychiatric and behavioral traits identified as significant in the discovery analyses. Gene-ontology enrichment analyses identified several neurobiological processes underlying mechanisms of the PRS associations we report. In conclusion, we provide novel insights into the genetic overlap of smoking and drinking behaviors in children and young adults, highlighting their independence from psychopathology and substance use.
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Affiliation(s)
- Flavio De Angelis
- Department of Psychiatry, Yale University School of Medicine, West Haven, CT, USA
- Veteran Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Frank R Wendt
- Department of Psychiatry, Yale University School of Medicine, West Haven, CT, USA
- Veteran Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Gita A Pathak
- Department of Psychiatry, Yale University School of Medicine, West Haven, CT, USA
- Veteran Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Daniel S Tylee
- Department of Psychiatry, Yale University School of Medicine, West Haven, CT, USA
- Veteran Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Aranyak Goswami
- Department of Psychiatry, Yale University School of Medicine, West Haven, CT, USA
- Veteran Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Joel Gelernter
- Department of Psychiatry, Yale University School of Medicine, West Haven, CT, USA
- Veteran Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Renato Polimanti
- Department of Psychiatry, Yale University School of Medicine, West Haven, CT, USA.
- Veteran Affairs Connecticut Healthcare System, West Haven, CT, USA.
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4
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Vilar-Ribó L, Sánchez-Mora C, Rovira P, Richarte V, Corrales M, Fadeuilhe C, Arribas L, Casas M, Ramos-Quiroga JA, Ribasés M, Soler Artigas M. Genetic overlap and causality between substance use disorder and attention-deficit and hyperactivity disorder. Am J Med Genet B Neuropsychiatr Genet 2021; 186:140-150. [PMID: 33244849 DOI: 10.1002/ajmg.b.32827] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 10/13/2020] [Accepted: 11/08/2020] [Indexed: 12/18/2022]
Abstract
Substance use disorder (SUD) often co-occur at high prevalence with other psychiatric conditions. Among them, attention-deficit and hyperactivity disorder (ADHD) is present in almost one out of every four subjects with SUD and is associated with higher severity, more frequent polysubstance dependence and increased risk for other mental health problems in SUD patients. Despite studies suggesting a genetic basis in the co-occurrence of these two conditions, the genetic factors involved in the joint development of both disorders and the mechanisms mediating these causal relationships are still unknown. In this study, we tested whether the genetic liability to five SUD-related phenotypes share a common background in the general population and clinically diagnosed ADHD individuals from an in-house sample of 989 subjects and further explored the genetic overlap and the causal relationship between ADHD and SUD using pre-existing GWAS datasets. Our results confirm a common genetic background between ADHD and SUD and support the current literature on the causal effect of the liability to ADHD on the risk for SUD. We added novel findings on the effect of the liability of lifetime cannabis use on ADHD and found evidence of shared genetic background underlying SUD in general population and in ADHD, at least for lifetime cannabis use, alcohol dependence and smoking initiation. These findings are in agreement with the high comorbidity observed between ADHD and SUD and highlight the need to control for substance use in ADHD and to screen for ADHD comorbidity in all SUD patients to provide optimal clinical interventions.
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Affiliation(s)
- Laura Vilar-Ribó
- 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, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Cristina Sánchez-Mora
- 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, Hospital Universitari Vall d'Hebron, Barcelona, Spain.,Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.,Department of Genetics, Microbiology, and Statistics, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain
| | - Paula Rovira
- 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, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Vanesa Richarte
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain.,Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.,Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Montserrat Corrales
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain.,Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.,Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Christian Fadeuilhe
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain.,Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.,Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Lorena Arribas
- 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, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - 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, Madrid, Spain.,Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Josep Antoni Ramos-Quiroga
- 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, Hospital Universitari Vall d'Hebron, Barcelona, Spain.,Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.,Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Marta Ribasés
- 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, Hospital Universitari Vall d'Hebron, Barcelona, Spain.,Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.,Department of Genetics, Microbiology, and Statistics, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain
| | - María Soler Artigas
- 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, Hospital Universitari Vall d'Hebron, Barcelona, Spain.,Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.,Department of Genetics, Microbiology, and Statistics, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain
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5
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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: 1.7] [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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6
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Adolescent Externalizing Psychopathology and Its Prospective Relationship to Marijuana Use Development from Age 14 to 30: Replication Across Independent Longitudinal Twin Samples. Behav Genet 2020; 50:139-151. [PMID: 32036544 DOI: 10.1007/s10519-020-09994-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Accepted: 01/31/2020] [Indexed: 10/25/2022]
Abstract
Externalizing psychopathology in early adolescence is a highly heritable risk factor for drug use, yet how it relates to marijuana use development is not well-characterized. We evaluate this issue in independent twin samples from Colorado (N = 2608) and Minnesota (N = 3630), assessed from adolescence to early adulthood. We used a biometric latent growth model of marijuana use frequency with data from up to five waves of assessment from ages 14 to 30, to examine change in marijuana use and its relationship with a factor model of adolescent externalizing psychopathology. The factor structure of adolescent externalizing psychopathology was similar across samples, as was the association between that common factor and early marijuana use (Minnesota r = 0.67 [0.60, 0.75]; Colorado r = 0.69 [0.59, 0.78]), and increase in use (Minnesota r = 0.18 [0.10, 0.26]; Colorado r = 0.20 [0.07, 0.34]). Early use was moderately heritable in both samples (Minnesota h2 = 0.57 [0.37, 0.79]; Colorado h2 = 0.42 [0.14, 0.73]). Increase in use was highly heritable in Minnesota (h2 = 0.82 [0.72, 0.88]), less so in Colorado (h2 = 0.22 [0.01, 0.66]), and shared environmental effects were larger in Colorado (c2 = 0.55 [0.14, 0.83]) than Minnesota (c2 = 0 [0, 0.06]). We found moderate genetic correlations between externalizing psychopathology and early use in both samples. Finally, additional analyses in the Minnesota sample indicated that marijuana use decreased during the late 20s. This decline is strongly heritable (h2 = 0.73 [0.49, 0.91]) and moderately negatively correlated with adolescent externalizing psychopathology (r = - 0.41 [- 0.54, - 0.28]). Adolescent externalizing psychopathology is genetically correlated with change in late adolescent marijuana use (late teens, early 20s), as well as maintenance of use in early adulthood (late 20 s) even after controlling for the effects of early use.
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7
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Blair RJ. Modeling the Comorbidity of Cannabis Abuse and Conduct Disorder/Conduct Problems from a Cognitive Neuroscience Perspective. J Dual Diagn 2020; 16:3-21. [PMID: 31608811 DOI: 10.1080/15504263.2019.1668099] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Objective: A cognitive neuroscience perspective seeks to understand behavior, in this case the comorbidity of cannabis abuse and conduct disorder/conduct problems, in terms of dysfunction in cognitive processes underpinned by neural processes. The goal of this review is to articulate a cognitive neuroscience account of this comorbidity. Methods: Literature on the following issues will be reviewed: (i) the longitudinal relationship between cannabis abuse and conduct disorder/conduct problems (CD/CP); (ii) the extent to which there are genetic and environmental (specifically maltreatment) factors that underpin this relationship; (iii) forms of neurocognitive function that are reported dysfunctional in CD/CP and also, when dysfunctional, appear to be risk factors for future cannabis abuse; and (iv) the extent to which cannabis abuse may further compromise these systems leading to increased future abuse and greater conduct problems. Results: CD/CP typically predate cannabis abuse. There appear to be shared genetic factors that contribute to the relationship between CD/CP and cannabis abuse. Moreover, trauma exposure increases risk for both cannabis abuse and CP/CD. One form of neurocognitive dysfunction, response disinhibition, that likely exacerbates the symptomatology of many individuals with CD also appears to increase the risk for cannabis abuse. The literature with respect to other forms of neurocognitive dysfunction remains inconclusive. Conclusions: Based on the literature, a causal model of the comorbidity of cannabis abuse and CD/CP is developed.
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Affiliation(s)
- R James Blair
- Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE, USA
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8
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Gillespie NA, Bates TC, Hickie IB, Medland SE, Verhulst B, Kirkpatrick RM, Kendler KS, Martin NG, Benotsch EG. Genetic and environmental risk factors in the non-medical use of over-the-counter or prescribed analgesics, and their relationship to major classes of licit and illicit substance use and misuse in a population-based sample of young adult twins. Addiction 2019; 114:2229-2240. [PMID: 31313399 PMCID: PMC6868294 DOI: 10.1111/add.14750] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Revised: 12/03/2018] [Accepted: 07/09/2019] [Indexed: 01/07/2023]
Abstract
BACKGROUND AND AIMS The non-medical use of over-the-counter or prescribed analgesics (NMUA) is a significant public health problem. Little is known about the genetic and environmental etiology of NMUA and how these risks relate to other classes of substance use and misuse. Our aims were to estimate the heritability NMUA and sources of genetic and environmental covariance with cannabis and nicotine use, cannabis and alcohol use disorders and nicotine dependence in Australian twins. DESIGN Biometrical genetic analyses or twin methods using structural equation univariate and multivariate modeling. SETTING Australia. PARTICIPANTS A total of 2007 young adult twins [66% female; μage = 25.9, standard deviation (SD) = 3.6, range = 18-38] from the Brisbane Longitudinal Twin Study retrospectively assessed between 2009 and 2016. MEASUREMENTS Self-reported NMUA (non-opioid or opioid-based), life-time nicotine, cannabis and opioid use, DSM-V cannabis and alcohol use disorders and the Fagerström Test for Nicotine Dependence. FINDINGS Life-time NMUA was reported by 19.4% of the sample. Univariate heritability explained 46% [95% confidence interval (CI) = 0.29-0.57] of the risks in NMUA. Multivariate analyses revealed that NMUA is moderately associated genetically with cannabis (rg = 0.41) and nicotine (rg = 0.45) use and nicotine dependence (rg = 0.34). In contrast, the genetic correlations with cannabis (rg = 0.15) and alcohol (rg = 0.07) use disorders are weak. CONCLUSIONS In young male and female adults in Australia, the non-medical use of over-the-counter or prescribed analgesics appears to have moderate heritability. NMUA is moderately associated with cannabis and nicotine use and nicotine dependence. Its genetic etiology is largely distinct from that of cannabis and alcohol use disorders.
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Affiliation(s)
- Nathan A Gillespie
- Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, VA, USA
- QIMR Berghofer Medical Research Institute, QLD, Australia
| | | | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, NSW, Australia
| | | | - Brad Verhulst
- Psychology Department, Michigan State University, MI, USA
| | - Robert M Kirkpatrick
- Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, VA, USA
| | - Kenneth S Kendler
- Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, VA, USA
| | | | - Eric G Benotsch
- Psychology Department, Virginia Commonwealth University, VA, USA
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9
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Chang LH, Whitfield JB, Liu M, Medland SE, Hickie IB, Martin NG, Verhulst B, Heath AC, Madden PA, Statham DJ, Gillespie NA. Associations between polygenic risk for tobacco and alcohol use and liability to tobacco and alcohol use, and psychiatric disorders in an independent sample of 13,999 Australian adults. Drug Alcohol Depend 2019; 205:107704. [PMID: 31731259 DOI: 10.1016/j.drugalcdep.2019.107704] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2019] [Revised: 09/18/2019] [Accepted: 10/21/2019] [Indexed: 12/31/2022]
Abstract
BACKGROUND Substance use, substance use disorders (SUDs), and psychiatric disorders commonly co-occur. Genetic risk common to these complex traits is an important explanation; however, little is known about how polygenic risk for tobacco or alcohol use overlaps the genetic risk for the comorbid SUDs and psychiatric disorders. METHODS We constructed polygenic risk scores (PRSs) using GWAS meta-analysis summary statistics from a large discovery sample, GWAS & Sequencing Consortium of Alcohol and Nicotine use (GSCAN), for smoking initiation (SI; N = 631,564), age of initiating regular smoking (AI; N = 258,251), cigarettes per day (CPD; N = 258,999), smoking cessation (SC; N = 312,273), and drinks per week (DPW; N = 527,402). We then estimated the fixed effect of these PRSs on the liability to 15 phenotypes related to tobacco and alcohol use, substance use disorders, and psychiatric disorders in an independent target sample of Australian adults. RESULTS After adjusting for multiple testing, 10 of 75 combinations of discovery and target phenotypes remained significant. PRS-SI (R2 range: 1.98%-5.09 %) was positively associated with SI, DPW, and with DSM-IV and FTND nicotine dependence, and conduct disorder. PRS-AI (R2: 3.91 %) negatively associated with DPW. PRS-CPD (R2: 1.56 %-1.77 %) positively associated with DSM-IV nicotine dependence and conduct disorder. PRS-DPW (R2: 3.39 %-6.26 %) positively associated with only DPW. The variation of DPW was significantly influenced by sex*PRS-SI, sex*PRS-AI and sex*PRS-DPW. Such interaction effect was not detected in the other 14 phenotypes. CONCLUSIONS Polygenic risks associated with tobacco use are also associated with liability to alcohol consumption, nicotine dependence, and conduct disorder.
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Affiliation(s)
- Lun-Hsien Chang
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston QLD 4006, Australia; Faculty of Medicine, the University of Queensland, 20 Weightman St, Herston QLD 4006, Australia.
| | - John B Whitfield
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston QLD 4006, Australia.
| | - Mengzhen Liu
- Department of Psychology, University of Minnesota Twin Cities, 75 E River Rd, Minneapolis, MN 55455, USA.
| | - Sarah E Medland
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston QLD 4006, Australia.
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, 94 Mallett St, Camperdown NSW 2050, USA.
| | - Nicholas G Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston QLD 4006, Australia.
| | - Brad Verhulst
- Department of psychology, Michigan State University, 316 Physics Road #262, East Lansing, MI 48824, USA.
| | - Andrew C Heath
- Department of Psychiatry, Washington University School of Medicine, 660 S Euclid Ave, St. Louis, MO 63110, USA.
| | - Pamela A Madden
- Department of Psychiatry, Washington University School of Medicine, 660 S Euclid Ave, St. Louis, MO 63110, USA.
| | - Dixie J Statham
- School of Health and Life Sciences, Federation University, Federation University Australia, PO Box 663, Ballarat, VIC 3353, Australia.
| | - Nathan A Gillespie
- Virginia Institute for Psychiatric and Behavioural Genetics, Virginia Commonwealth University, Richmond, VA 23298, USA.
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10
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Rabinowitz JA, Musci RJ, Milam AJ, Benke K, Uhl GR, Sisto DY, Ialongo NS, Maher BS. The interplay between externalizing disorders polygenic risk scores and contextual factors on the development of marijuana use disorders. Drug Alcohol Depend 2018; 191:365-373. [PMID: 30195949 PMCID: PMC8005265 DOI: 10.1016/j.drugalcdep.2018.07.016] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2018] [Revised: 07/13/2018] [Accepted: 07/18/2018] [Indexed: 12/28/2022]
Abstract
Externalizing disorders have been extensively linked to substance use problems. However, less is known about whether genetic factors underpinning externalizing disorders and environmental features interact to predict substance use disorders (i.e., marijuana abuse and dependence) among urban African Americans. We examined whether polygenic risk scores (PRS) for conduct disorder (CD) and attention-deficit hyperactivity disorder (ADHD) interacted with contextual factors (i.e., parental monitoring, community disadvantage) to influence risk for marijuana use disorders in a sample of African American youth. Participants (N=1,050; 44.2% male) were initially recruited for an elementary school-based universal prevention trial in a Mid-Atlantic city and followed through age 20. Participants reported on their parental monitoring in sixth grade and whether they were diagnosed with marijuana abuse or dependence at age 20. Blood or saliva samples were genotyped using the Affymetrix 6.0 microarrays. The CD and ADHD PRS were created based on genome-wide association studies conducted by Dick et al. (2010) and Demontis et al. (2017), respectively. Community disadvantage was calculated based on census data when participants were in sixth grade. There was an interaction between the CD PRS and community disadvantage such that a higher CD PRS was associated with greater risk for a marijuana use disorder at higher levels of neighborhood disadvantage. This finding should be interpreted with caution owing to the number of significance tests performed. Implications for etiological models and future research directions are presented.
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Affiliation(s)
- Jill A Rabinowitz
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, 624 N. Broadway, Baltimore, MD 21205, United States.
| | - Rashelle J Musci
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, 624 N. Broadway, Baltimore, MD 21205, United States
| | - Adam J Milam
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, 624 N. Broadway, Baltimore, MD 21205, United States
| | - Kelly Benke
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, 624 N. Broadway, Baltimore, MD 21205, United States
| | - George R Uhl
- New Mexico VA Healthcare System, 1501 San Pedro Drive, SE, Albuquerque, NM, 87108 United States
| | - Danielle Y Sisto
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, 624 N. Broadway, Baltimore, MD 21205, United States
| | - Nicholas S Ialongo
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, 624 N. Broadway, Baltimore, MD 21205, United States
| | - Brion S Maher
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, 624 N. Broadway, Baltimore, MD 21205, United States
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11
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Jo JM, Won SD. Serial Progression from Attention-Deficit/Hyperactivity Disorder to Alcohol Use Disorder: Serial Multiple Mediated Effects of Externalizing Disorders and Depression. CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE 2018; 16:267-275. [PMID: 30121976 PMCID: PMC6124877 DOI: 10.9758/cpn.2018.16.3.267] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/13/2017] [Revised: 05/16/2017] [Accepted: 06/01/2017] [Indexed: 01/13/2023]
Abstract
Objective Externalizing disorders such as attention-deficit/hyperactivity disorder (ADHD), conduct disorder and antisocial personality disorder, as well as depression are common comorbidities in alcohol use disorder (AUD). The current study focused on the temporal relationship between the onsets of these disorders and AUD, and investigated the serial multiple mediator model of externalizing disorders (e.g., ADHD) and depression on AUD. Methods We analyzed the mediated effects of the Adult ADHD Self-Report Scale (ASRS), the Barratt Impulsiveness Scale motor (BIS_M) and the Beck Depression Inventory (BDI) on Korean version of the Alcohol Dependence Scale (ADS_K) using the multiple-step multiple mediation procedure regression analysis. In addition, we comparatively analyzed different clinical characteristics in relation to conduct problems. Results The multiple-step multiple mediation procedure found the serial multiple mediated effects of the BIS_M and the BDI on the relationship between the ASRS and the ADS_K. Also, the group with conduct problem was significantly high in ADHD symptoms, depression, anxiety, impulsivity, legal problems and alcohol-related problems, compared to the group without conduct problems. Conclusion To sum up, the results of this study show that ADHD symptoms in childhood could exert significant effects on the severity of AUD in adulthood, and both disorders might be mediated by the externalizing disorders characterized by the core feature of motor impulsivity, and depression serially. Thus, the treatment of preceding disorders in accordance with developmental stages is an overarching clinical component for preventing the subsequent development of AUD and for its treatment.
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Affiliation(s)
- Jung Min Jo
- Department of Clinical Psychology, Keyo Medical Foundation Keyo Mental Hospital, Uiwang, Korea
| | - Sung Doo Won
- Department of Clinical Psychology, Keyo Medical Foundation Keyo Mental Hospital, Uiwang, Korea
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12
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Genetic correlation of antisocial behaviour with alcohol, nicotine, and cannabis use. Drug Alcohol Depend 2018; 187:296-299. [PMID: 29702338 DOI: 10.1016/j.drugalcdep.2018.03.020] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2017] [Revised: 02/01/2018] [Accepted: 03/12/2018] [Indexed: 12/31/2022]
Abstract
BACKGROUND There is high comorbidity between antisocial behaviour (ASB) and substance use, and twin studies have shown that part of the covariation is due to overlapping genetic influences. Here we used measured genetic effects to estimate the genetic correlations of ASB with nicotine, alcohol, and cannabis use. METHODS We meta-analysed data from two genome-wide association studies for ASB and used existing summary statistics from the largest genome-wide association studies into substance use (ever smoking, cigarettes smoked per day, weekly alcohol consumption, and lifetime cannabis use). We performed cross-trait LD-score regression to estimate genetic correlations between ASB and substance use phenotypes explained by all single nucleotide polymorphisms (SNPs). When significant, we tested whether the signs of the regression coefficients of SNPs from the ASB and substance use phenotypes were in the same direction across multiple p-value thresholds and examined enrichment in overlap of the strongest associated SNPs. RESULTS We found nominally significant genetic correlations of ASB with lifetime cannabis use (rg = 0.69, p=.016) and cigarettes per day (rg = 0.59, p = 0.036) but not with weekly alcohol consumption or ever smoking. Sign-tests revealed consistent directions of effect of SNPs for ASB and cannabis use for all p-value thresholds except the most stringent one, whereas for ASB with cigarettes per day no consistent evidence was found. We found no evidence of enrichment in overlap of the most associated SNPs across these traits. CONCLUSION Using measured genetic variants, we found preliminary support for a genetic correlation of ASB with lifetime cannabis use and cigarettes per day.
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13
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Waaktaar T, Kan KJ, Torgersen S. The genetic and environmental architecture of substance use development from early adolescence into young adulthood: a longitudinal twin study of comorbidity of alcohol, tobacco and illicit drug use. Addiction 2018; 113:740-748. [PMID: 29057620 DOI: 10.1111/add.14076] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2016] [Revised: 01/26/2017] [Accepted: 10/13/2017] [Indexed: 02/02/2023]
Abstract
AIMS To investigate how use of alcohol, illicit drugs and tobacco come from substance-specific pathways and from pathways general to all three substances through adolescent development. DESIGN Analysis of population-based survey. Adolescent twins reported alcohol use (AU), tobacco use (TU) and illicit drug use (IDU) in three waves (2006, 2008, 2010). Restructuring data by age allowed for variance decomposition into age- and substance-specific and common genetic and environmental variance components. SETTING Norway. PARTICIPANTS Seven national twin birth cohorts from 1988 to 1994, totalling 1483 pairs (558 monozygotic; 925 dizygotic, same and opposite sex). MEASUREMENTS Six-point Likert scores of AU, TU and IDU on items from the Monitoring the Future Study. FINDINGS Substance use was found to be highly heritable; a2 = 0.73 [95% confidence interval (CI) = 0.61-0.94] for AU, a2 = 0.36 (CI = 0.18-0.52); d2 = 0.49 (95% CI = 0.29-0.62) for IDU and a2 = 0.46 (95% CI = 0.23-0.54); d2 = 0.05 (95% CI = 0.00-0.07) for TU during the whole adolescence period. General substance use (GSU) was also highly heritable at each age and averaged a2 = 0.57 (95% CI = 0.48-0.66). There was a high genetic carry-over from earlier age to later age. Genetic effects on GSU at ages 12-14 years were still detectable 4 years later. New substance (general and specific)-genetic effects also appeared. IDU demonstrated significant non-additive genetic effects (ages 12-14 years). Shared environment had a small impact on AU only. There was almost no non-shared environmental carry-over from age to age, the effect probably due partly to reliability deficiency. Common genetic effects among substance and substance-specific genetic effects were observed at each age-period. CONCLUSIONS Among Norwegian adolescents, there appear to be strong genetic effects on both substance-specific and comorbid use of alcohol, illicit drugs and tobacco; individual differences in alcohol use can be explained partially by family background.
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Affiliation(s)
- Trine Waaktaar
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Kees-Jan Kan
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.,Research Institute of Child Development and Education, Amsterdam, the Netherlands
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Behrendt S, Bühringer G, Höfler M, Lieb R, Beesdo-Baum K. Prediction of incidence and stability of alcohol use disorders by latent internalizing psychopathology risk profiles in adolescence and young adulthood. Drug Alcohol Depend 2017; 179:32-41. [PMID: 28750254 DOI: 10.1016/j.drugalcdep.2017.06.006] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2016] [Revised: 06/02/2017] [Accepted: 06/03/2017] [Indexed: 11/16/2022]
Abstract
BACKGROUND Comorbid internalizing mental disorders in alcohol use disorders (AUD) can be understood as putative independent risk factors for AUD or as expressions of underlying shared psychopathology vulnerabilities. However, it remains unclear whether: 1) specific latent internalizing psychopathology risk-profiles predict AUD-incidence and 2) specific latent internalizing comorbidity-profiles in AUD predict AUD-stability. AIMS To investigate baseline latent internalizing psychopathology risk profiles as predictors of subsequent AUD-incidence and -stability in adolescents and young adults. METHODS Data from the prospective-longitudinal EDSP study (baseline age 14-24 years) were used. The study-design included up to three follow-up assessments in up to ten years. DSM-IV mental disorders were assessed with the DIA-X/M-CIDI. To investigate risk-profiles and their associations with AUD-outcomes, latent class analysis with auxiliary outcome variables was applied. RESULTS AUD-incidence: a 4-class model (N=1683) was identified (classes: normative-male [45.9%], normative-female [44.2%], internalizing [5.3%], nicotine dependence [4.5%]). Compared to the normative-female class, all other classes were associated with a higher risk of subsequent incident alcohol dependence (p<0.05). AUD-stability: a 3-class model (N=1940) was identified with only one class (11.6%) with high probabilities for baseline AUD. This class was further characterized by elevated substance use disorder (SUD) probabilities and predicted any subsequent AUD (OR 8.5, 95% CI 5.4-13.3). CONCLUSIONS An internalizing vulnerability may constitute a pathway to AUD incidence in adolescence and young adulthood. In contrast, no indication for a role of internalizing comorbidity profiles in AUD-stability was found, which may indicate a limited importance of such profiles - in contrast to SUD-related profiles - in AUD stability.
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Affiliation(s)
- Silke Behrendt
- Institute of Clinical Psychology and Psychotherapy, Technische Universität Dresden, Chemnitzer Str. 46, D-01187 Dresden, Germany.
| | - Gerhard Bühringer
- Institute of Clinical Psychology and Psychotherapy, Technische Universität Dresden, Chemnitzer Str. 46, D-01187 Dresden, Germany; IFT Institut für Therapieforschung, Parzivalstr. 25, D-80804 Munich, Germany
| | - Michael Höfler
- Institute of Clinical Psychology and Psychotherapy, Technische Universität Dresden, Chemnitzer Str. 46, D-01187 Dresden, Germany
| | - Roselind Lieb
- Department of Psychology, Division of Clinical Psychology and Epidemiology, University Basel, Missionsstr. 60-62, 4055 Basel, Switzerland
| | - Katja Beesdo-Baum
- Institute of Clinical Psychology and Psychotherapy, Technische Universität Dresden, Chemnitzer Str. 46, D-01187 Dresden, Germany; Behavioral Epidemiology, Technische Universität Dresden, Chemnitzer Str. 46, D-01187 Dresden, Germany
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15
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Hines LA. Commentary on Kosty et al. (2017): Understanding risk classes for cannabis use disorder requires knowledge of exposure, environment and genetic effects. Addiction 2017; 112:288-289. [PMID: 28078706 DOI: 10.1111/add.13691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2016] [Revised: 10/31/2016] [Accepted: 11/07/2016] [Indexed: 11/26/2022]
Affiliation(s)
- Lindsey A Hines
- Addictions Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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16
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Greenfield BL, Sittner KJ, Forbes MK, Walls ML, Whitbeck LB. Conduct Disorder and Alcohol Use Disorder Trajectories, Predictors, and Outcomes for Indigenous Youth. J Am Acad Child Adolesc Psychiatry 2017; 56:133-139.e1. [PMID: 28117059 PMCID: PMC5314209 DOI: 10.1016/j.jaac.2016.11.009] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2016] [Revised: 09/29/2016] [Accepted: 11/22/2016] [Indexed: 10/20/2022]
Abstract
OBJECTIVE The aim of this study was to identify separate and joint trajectories of conduct disorder (CD) and alcohol use disorder (AUD) DSM-IV diagnostic symptoms among American Indian and First Nation (Indigenous) youth aged 10 to 18 years, and to characterize baseline profiles and later outcomes associated with joint trajectory group membership. METHOD Data were collected between 2002 and 2010 on three indigenous reservations in the northern Midwest and four Canadian reserves (N = 673). CD and substance use disorder (SUD) were measured using the DSM-IV Diagnostic Interview Schedule for Children-Revised (DISC-R), administered at four time points. RESULTS Using group-based trajectory modeling, three CD and four AUD trajectories were found. Both had a small group with high symptoms, but the largest groups for both had no symptoms (55% and 73%, respectively). CD symptom trajectories began at age 10 years and peaked at age 14; AUD trajectories began at age 12 years and were highest from age 16 on. Eight joint trajectories were identified. Of the sample, 53% fell into the group with no CD or AUD symptoms. Compared to symptomatic groups, this group had greater caretaker warmth, positive school adjustment, less discrimination, and fewer deviant peers, and were less likely to have a caretaker with major depression at baseline. Symptomatic groups had higher odds of high school dropout, sex under the influence, and arrest at age 17 to 20 years. CONCLUSION Despite significant risk factors, a large proportion of Indigenous youth had no CD-SUD symptoms over time. CD-SUD symptoms have multiple development trajectories and are related to early developmental risk and later psychosocial outcomes.
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17
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Richmond-Rakerd LS, Slutske WS, Lynskey MT, Agrawal A, Madden PAF, Bucholz KK, Heath AC, Statham DJ, Martin NG. Age at first use and later substance use disorder: Shared genetic and environmental pathways for nicotine, alcohol, and cannabis. JOURNAL OF ABNORMAL PSYCHOLOGY 2016; 125:946-959. [PMID: 27537477 DOI: 10.1037/abn0000191] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Behavioral genetic studies have provided insights into why early substance use initiation is associated with increased risk for disorder. Few genetically informative studies, however, have operationalized initiation as the timing of first use and simultaneously modeled the timing of initiation and problematic use of multiple substances. Such research can help capture the risk associated with early initiation and determine the extent to which genetic and environmental risk generalizes across substances. This study utilized a behavior genetic approach to examine the relation between the age of substance use initiation and symptoms of substance use disorder. Participants were 7,285 monozygotic and dizygotic twins (40% male, mean age at interview = 30.6 years) from the Australian Twin Registry who reported on their ages of tobacco, alcohol, and cannabis initiation and symptoms of Diagnostic and Statistical Manual of Mental Disorders (4th ed., DSM-IV) nicotine dependence, alcohol use disorder, and cannabis use disorder. Biometric modeling was conducted to (a) determine the structure of genetic and environmental influences on initiation and disorder and (b) examine their genetic and environmental overlap. The latent structure of initiation differed across men and women. The familial covariance between initiation and disorder was genetic among men and genetic and environmental among women, suggesting that the relation between first substance use and disorder is partly explained by a shared liability. After accounting for familial overlap, significant unique environmental correlations were observed, indicating that the age of initiation of multiple drugs may directly increase risk for substance-related problems. Results support the utility of conceptualizing initiation in terms of age and of adopting a multivariate approach. (PsycINFO Database Record
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Affiliation(s)
| | | | - Michael T Lynskey
- Institute of Psychiatry, Psychology & Neuroscience, King's College London
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18
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Verweij KJ, Creemers H, Korhonen T, Latvala A, Dick D, Rose RJ, Huizink A, Kaprio J. Role of overlapping genetic and environmental factors in the relationship between early adolescent conduct problems and substance use in young adulthood. Addiction 2016; 111:1036-45. [PMID: 26748618 PMCID: PMC4861688 DOI: 10.1111/add.13303] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2015] [Revised: 07/13/2015] [Accepted: 01/07/2016] [Indexed: 11/26/2022]
Abstract
AIMS To determine (1) the prospective associations of conduct problems during early adolescence with tobacco, alcohol and cannabis use in young adulthood and (2) to what extent these associations are due to overlapping genetic versus environmental influences. DESIGN A prospective twin study using biometric twin modelling. SETTING Finland. PARTICIPANTS A total of 1847 Finnish twins (943 males and 904 females) were interviewed in early adolescence, 73% of whom (n = 1353, 640 males and 713 females) were retained in young adulthood. MEASUREMENTS Symptom counts of conduct disorder (CD) criteria were obtained from a semi-structured clinical interview in early adolescence [age 14-15 years, mean = 14.2, standard deviation (SD) = 0.15]. Frequency of alcohol, tobacco and cannabis use was obtained from a semi-structured clinical interview in young adulthood (age 19.9-26.6 years, mean = 22.4, SD = 0.7). FINDINGS We found modest to moderate phenotypical correlations (r = 0.16-0.35) between early adolescent CD symptoms and substance use in young adulthood. In males, the phenotypical correlations of CD symptoms with all three substance use variables are explained largely by overlapping genetic influences. In females, overlapping shared environmental influences predominantly explain the phenotypical correlation between CD symptoms and tobacco and cannabis use. CONCLUSIONS Conduct disorder symptoms in early adolescence appear to moderately predict substance use in early adulthood. In males, genetic influences seem to be most important in explaining the relationship between conduct disorder symptoms and substance use whereas in females, shared environmental influences seem to be most important.
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Affiliation(s)
- Karin J.H. Verweij
- VU University, Department of Clinical Developmental Psychology and EMGO Institute for Health and Care Research, 1081 BT Amsterdam, the Netherlands,Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The Netherlands
| | - H.E. Creemers
- Forensic Child and Youth Care Sciences, University of Amsterdam, Amsterdam, The Netherlands,Department of Public Health, University of Helsinki, Helsinki, Finland
| | - T. Korhonen
- Department of Public Health, University of Helsinki, Helsinki, Finland,National Institute for Health and Welfare, Helsinki, Finland,Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Finland
| | - A. Latvala
- Department of Public Health, University of Helsinki, Helsinki, Finland,National Institute for Health and Welfare, Helsinki, Finland
| | - D.M. Dick
- Departments of Psychiatry, Psychology and Human and Molecular Genetics, Virginia Commonwealth University, Richmond, Virginia
| | - R. J. Rose
- Department of Public Health, University of Helsinki, Helsinki, Finland,Department of Psychological and Brain Sciences, Indiana University, Bloomington, Indiana, USA
| | - A.C. Huizink
- VU University, Department of Clinical Developmental Psychology and EMGO Institute for Health and Care Research, 1081 BT Amsterdam, the Netherlands
| | - J. Kaprio
- Department of Public Health, University of Helsinki, Helsinki, Finland,National Institute for Health and Welfare, Helsinki, Finland,Finnish Institute of Molecular Medicine, University of Helsinki, Helsinki, Finland
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Grucza RA, Agrawal A, Krauss MJ, Bongu J, Plunk AD, Cavazos-Rehg PA, Bierut LJ. Declining Prevalence of Marijuana Use Disorders Among Adolescents in the United States, 2002 to 2013. J Am Acad Child Adolesc Psychiatry 2016; 55:487-494.e6. [PMID: 27238067 PMCID: PMC4957692 DOI: 10.1016/j.jaac.2016.04.002] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2015] [Revised: 02/24/2016] [Accepted: 04/01/2016] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Little is known about recent trends in marijuana use disorders among adolescents in the United States. We analyzed trends in the past-year prevalence of DSM-IV marijuana use disorders among adolescents, both overall and conditioned on past-year marijuana use. Potential explanatory factors for trends in prevalence were explored. METHOD We assembled data from the adolescent samples of the 2002 to 2013 administrations of the National Survey on Drug Use and Health (N = 216,852; aged 12-17 years). The main outcome measures were odds ratios describing the average annual change in prevalence and conditional prevalence of marijuana use disorders, estimated from models of marijuana use disorder as a function of year. Post hoc analyses incorporated measures of potentially explanatory risk and protective factors into the trend analyses. RESULTS A decline in the past-year prevalence of marijuana use disorders was observed (odds ratio = 0.976 per year; 95% CI = 0.968, 0.984; p < .001). This was due to both a net decline in past-year prevalence of use and a decline in the conditional prevalence of marijuana use disorders. The trend in marijuana use disorders was accounted for by a decrease in the rate of conduct problems among adolescents (e.g., fighting, stealing). CONCLUSION Past-year prevalence of marijuana use disorders among US adolescents declined by an estimated 24% over the 2002 to 2013 period. The decline may be related to trends toward lower rates of conduct problems. Identification of factors responsible for the reduction in conduct problems could inform interventions targeting both conduct problems and marijuana use disorders.
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Few LR, Agrawal A. Commentary on Verweij et al. (2016): Conduct problems and substance use-genetic and environmental perspectives on sex differences. Addiction 2016; 111:1046-7. [PMID: 27157903 PMCID: PMC4941623 DOI: 10.1111/add.13371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2016] [Accepted: 02/19/2016] [Indexed: 11/28/2022]
Abstract
Genes influence the covariance between conduct disorder (CD) problems and substance use in males, but shared environment is more important in females. We now need to consider: (a) how genetic influences on CD affect correlations across substances from early to later stages of involvement; (b) whether polygenic liability to CD and substance use overlap; (c) environmental pathways of vulnerability (e.g. peers) in females; and (d) sex effects derived from opposite-sex twin pairs.
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Affiliation(s)
- Lauren R. Few
- Washington University School of Medicine, Department of Psychiatry, 660 S. Euclid, CB 8134, Saint Louis, MO 63110
| | - Arpana Agrawal
- Washington University School of Medicine, Department of Psychiatry, St Louis, MO, USA.
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21
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Bogdan R, Winstone JMA, Agrawal A. Genetic and Environmental Factors Associated with Cannabis Involvement. CURRENT ADDICTION REPORTS 2016; 3:199-213. [PMID: 27642547 PMCID: PMC5019486 DOI: 10.1007/s40429-016-0103-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Approximately 50-70% of the variation in cannabis use and use disorders can be attributed to heritable factors. For cannabis use, the remaining variance can be parsed in to familial and person-specific environmental factors while for use disorders, only the latter contribute. While numerous candidate gene studies have identified the role of common variation influencing liability to cannabis involvement, replication has been elusive. To date, no genomewide association study has been sufficiently powered to identify significant loci. Despite this, studies adopting polygenic techniques and integrating genetic variation with neural phenotypes and measures of environmental risk, such as childhood adversity, are providing promising new leads. It is likely that the small effect sizes associated with variants related to cannabis involvement will only be robustly identified in substantially larger samples. Results of such large-scale efforts will provide valuable single variant targets for translational research in neurogenetic, pharmacogenetic and non-human animal models as well as polygenic risk indices that can be used to explore a host of other genetic hypotheses related to cannabis use and misuse.
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Affiliation(s)
- Ryan Bogdan
- BRAIN lab, Department of Psychological and Brain Sciences, Washington University in St. Louis
| | - Jonathan MA Winstone
- BRAIN lab, Department of Psychological and Brain Sciences, Washington University in St. Louis
| | - Arpana Agrawal
- Department of Psychiatry, Washington University in St Louis, St Louis, Missouri
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