1
|
Zellers S, Alexander J, Ellingson JM, Schaefer JD, Corley RP, Iacono W, Hewitt JK, Hopfer CJ, McGue MK, Vrieze S. Limited psychological and social effects of lifetime cannabis use frequency: Evidence from a 30-year community study of 4,078 twins. J Psychopathol Clin Sci 2024; 133:115-128. [PMID: 38147055 PMCID: PMC10751959 DOI: 10.1037/abn0000867] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/27/2023]
Abstract
BACKGROUND Cannabis use is associated with outcomes like income, legal problems, and psychopathology. This finding rests largely on correlational research designs, which rely at best on statistical controls for confounding. Here, we control for unmeasured confounders using a longitudinal study of twins. METHOD In a sample of 4,078 American adult twins first assessed decades ago, we used cotwin control mixed effects models to evaluate the effect of lifetime average frequency of cannabis consumption measured on substance use, psychiatric, and psychosocial outcomes. RESULTS On average, participants had a lifetime cannabis frequency of about one to two times per month, across adolescence and adulthood. As expected, in individual-level analyses, cannabis use was significantly associated with almost all outcomes in the expected directions. However, when comparing each twin to their cotwin, which inherently controls for shared genes and environments, we observed within-pair differences consistent with possible causality in three of the 22 assessed outcomes: cannabis use disorder symptoms (βW-Pooled = .15, SE = .02, p = 1.7 × 10-22), frequency of tobacco use (βW-Pooled = .06, SE = .01, p = 1.2 × 10-5), and illicit drug involvement (βW-Pooled = .06, SE = .02, p = 1.2 × 10-4). Covariate specification curve analyses indicated that within-pair effects on tobacco and illicit drug use, but not cannabis use disorder, attenuated substantially when covarying for lifetime alcohol and tobacco use. CONCLUSIONS The cotwin control results suggest that more frequent cannabis use causes small increases in cannabis use disorder symptoms, approximately 1.3 symptoms when going from a once-a-year use to daily use. For other outcomes, our results are more consistent with familial confounding, at least in this community population of twins. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
Collapse
Affiliation(s)
- Stephanie Zellers
- Department of Psychology, University of Minnesota
- Institute for Molecular Medicine Finland, University of Helsinki
| | | | - Jarrod M. Ellingson
- Department of Psychiatry, University of Colorado Anschutz Medical Campus
- Institute for Behavioral Genetics, University of Colorado Boulder
| | | | - Robin P. Corley
- Institute for Behavioral Genetics, University of Colorado Boulder
| | | | - John K. Hewitt
- Institute for Behavioral Genetics, University of Colorado Boulder
- Department of Psychology and Neuroscience, University of Colorado Boulder
| | - Christian J. Hopfer
- Department of Psychiatry, University of Colorado Anschutz Medical Campus
- Institute for Behavioral Genetics, University of Colorado Boulder
| | | | - Scott Vrieze
- Department of Psychology, University of Minnesota
| |
Collapse
|
2
|
Zellers SM, Ross JM, Saunders GRB, Ellingson JM, Walvig T, Anderson JE, Corley RP, Iacono W, Hewitt JK, Hopfer CJ, McGue MK, Vrieze S. Recreational cannabis legalization has had limited effects on a wide range of adult psychiatric and psychosocial outcomes. Psychol Med 2023; 53:1-10. [PMID: 36601811 PMCID: PMC10319916 DOI: 10.1017/s0033291722003762] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 11/15/2022] [Accepted: 11/28/2022] [Indexed: 01/06/2023]
Abstract
BACKGROUND The causal impacts of recreational cannabis legalization are not well understood due to the number of potential confounds. We sought to quantify possible causal effects of recreational cannabis legalization on substance use, substance use disorder, and psychosocial functioning, and whether vulnerable individuals are more susceptible to the effects of cannabis legalization than others. METHODS We used a longitudinal, co-twin control design in 4043 twins (N = 240 pairs discordant on residence), first assessed in adolescence and now age 24-49, currently residing in states with different cannabis policies (40% resided in a recreationally legal state). We tested the effect of legalization on outcomes of interest and whether legalization interacts with established vulnerability factors (age, sex, or externalizing psychopathology). RESULTS In the co-twin control design accounting for earlier cannabis frequency and alcohol use disorder (AUD) symptoms respectively, the twin living in a recreational state used cannabis on average more often (βw = 0.11, p = 1.3 × 10-3), and had fewer AUD symptoms (βw = -0.11, p = 6.7 × 10-3) than their co-twin living in an non-recreational state. Cannabis legalization was associated with no other adverse outcome in the co-twin design, including cannabis use disorder. No risk factor significantly interacted with legalization status to predict any outcome. CONCLUSIONS Recreational legalization was associated with increased cannabis use and decreased AUD symptoms but was not associated with other maladaptations. These effects were maintained within twin pairs discordant for residence. Moreover, vulnerabilities to cannabis use were not exacerbated by the legal cannabis environment. Future research may investigate causal links between cannabis consumption and outcomes.
Collapse
Affiliation(s)
- Stephanie M. Zellers
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota, USA
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - J. Megan Ross
- Department of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | | | - Jarrod M. Ellingson
- Department of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado, USA
| | - Tasha Walvig
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Jacob E. Anderson
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Robin P. Corley
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado, USA
| | - William Iacono
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota, USA
| | - John K. Hewitt
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado, USA
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado, USA
| | - Christian J. Hopfer
- Department of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado, USA
| | - Matt K. McGue
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Scott Vrieze
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota, USA
| |
Collapse
|
3
|
Zellers SM, Ross JM, Saunders GRB, Ellingson JM, Anderson JE, Corley RP, Iacono W, Hewitt JK, Hopfer CJ, McGue MK, Vrieze S. Impacts of recreational cannabis legalization on cannabis use: a longitudinal discordant twin study. Addiction 2023; 118:110-118. [PMID: 36002928 PMCID: PMC10086942 DOI: 10.1111/add.16016] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Accepted: 07/12/2022] [Indexed: 11/30/2022]
Abstract
AIMS To estimate the effect of recreational legalization on cannabis use frequency and sources of variance across legal environments. DESIGN Longitudinal discordant twin and gene-environment interaction models in twins recruited from birth records and assessed prospectively. SETTING The United States, including states with different recreational cannabis policies before and after 2014, when recreational cannabis was first legalized. PARTICIPANTS Two longitudinal, prospectively assessed samples of American twins aged 24-47 (n = 1425 in legal states, n = 1996 in illegal states), including 111 monozygotic pairs discordant for residence. MEASUREMENTS Current cannabis use frequency (measured continuously and ordinally) was the primary outcome, and the predictor was recreational status of cannabis (legal/illegal) in the participant's state of residence at the time of assessment. Covariates include age, sex and cannabis use frequency prior to 2014. FINDINGS Accounting for pre-2014 use, residents of legal states used cannabis more frequently than residents of illegal states (b = 0.21, P = 8.08 × 10-5 ). Comparing 111 pairs of monozygotic twins discordant for residence confirmed the effect (b = 0.18, P = 0.014). There was inconclusive evidence for genetic influences on cannabis use frequency that were specific to the legal environment [χ2 = 2.9 × 10-9 , degrees of freedom (d.f.) = 1, P > 0.999]. Existing genetic influences were moderated by the legal environment, as the genetic correlation between marijuana use before and after legalization was lower in states that legalized (rgenetic = 0.24) compared with states that did not (rgenetic = 0.78, Pdifference = 0.016). CONCLUSIONS In the United States, there appears to be a ~ 20% average increase in cannabis use frequency attributable to recreational legalization, consistent across increasingly rigorous designs. In addition, the heritability of cannabis use frequency appears to be moderated by legalization.
Collapse
Affiliation(s)
| | - J. Megan Ross
- Department of PsychiatryUniversity of Colorado Anschutz Medical CampusAuroraCOUSA
| | | | - Jarrod M. Ellingson
- Department of PsychiatryUniversity of Colorado Anschutz Medical CampusAuroraCOUSA
- Institute for Behavioral GeneticsUniversity of Colorado BoulderBoulderCOUSA
| | | | - Robin P. Corley
- Institute for Behavioral GeneticsUniversity of Colorado BoulderBoulderCOUSA
| | - William Iacono
- Department of PsychologyUniversity of MinnesotaMinneapolisMNUSA
| | - John K. Hewitt
- Institute for Behavioral GeneticsUniversity of Colorado BoulderBoulderCOUSA
- Department of Psychology and NeuroscienceUniversity of Colorado BoulderBoulderCOUSA
| | - Christian J. Hopfer
- Department of PsychiatryUniversity of Colorado Anschutz Medical CampusAuroraCOUSA
- Institute for Behavioral GeneticsUniversity of Colorado BoulderBoulderCOUSA
| | - Matt K. McGue
- Department of PsychologyUniversity of MinnesotaMinneapolisMNUSA
| | - Scott Vrieze
- Department of PsychologyUniversity of MinnesotaMinneapolisMNUSA
| |
Collapse
|
4
|
Isen JD, Ludeke SG, Foster JD, McGue MK, Iacono WG. The clashing nature of rebelliousness: Nontraditional attitudes and counter-normative behaviors show divergent associations with intelligence. J Pers 2021; 90:527-540. [PMID: 34655470 DOI: 10.1111/jopy.12681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 08/25/2021] [Accepted: 10/12/2021] [Indexed: 11/29/2022]
Abstract
OBJECTIVE Prior literature indicates that nontraditional attitudes are linked to higher intelligence. However, such attitudes in adolescence often accompany counter-normative, delinquent-type behaviors, which are themselves negatively linked with intelligence. This points to the possibility of suppression in the relationship between intelligence and nontraditional attitudes. METHOD We analyzed a large community sample of 17 year olds (N = 3330) with data on intelligence, nontraditional attitudes, and a diverse collection of self- and teacher-reported counter-normative behaviors. Developmental questions for these relationships were examined through cross-sectional comparisons between the adolescents and their parents as well as longitudinal analysis of the adolescent sample across emerging adulthood. RESULTS Youth who endorsed nontraditional attitudes had lower school grades, earlier age at first sex, heavier substance use, and were perceived as more oppositional by their teachers. Each of these problem behaviors was inversely related to intelligence. Accordingly, the positive correlation between nontraditional attitudes and intelligence was much weaker in adolescents as compared to their middle-aged parents. Longitudinal analyses revealed that the association between nontraditional attitudes and intelligence strengthens in early adulthood. CONCLUSIONS Associations between intelligence and sociopolitical attitudes can be obscured even by seemingly distal psychological characteristics.
Collapse
Affiliation(s)
- Joshua D Isen
- Department of Psychology, University of South Alabama, Mobile, AL, USA
| | - Steven G Ludeke
- Department of Psychology, University of Southern Denmark, Odense, Denmark
| | - Joshua D Foster
- Department of Psychology, University of South Alabama, Mobile, AL, USA
| | - Matt K McGue
- Department of Psychology, University of Minnesota, Twin Cities, MN, USA
| | - William G Iacono
- Department of Psychology, University of Minnesota, Twin Cities, MN, USA
| |
Collapse
|
5
|
Stringer S, Minică CC, Verweij KJ, Mbarek H, Bernard M, Derringer J, van Eijk KR, Isen JD, Loukola A, Maciejewski DF, Mihailov E, van der Most PJ, Sánchez-Mora C, Roos L, Sherva R, Walters R, Ware JJ, Abdellaoui A, Bigdeli TB, Branje SJ, Brown SA, Bruinenberg M, Casas M, Esko T, Garcia-Martinez I, Gordon SD, Harris JM, Hartman CA, Henders AK, Heath AC, Hickie IB, Hickman M, Hopfer CJ, Hottenga JJ, Huizink AC, Irons DE, Kahn RS, Korhonen T, Kranzler HR, Krauter K, van Lier PA, Lubke GH, Madden PA, Mägi R, McGue MK, Medland SE, Meeus WH, Miller MB, Montgomery GW, Nivard MG, Nolte IM, Oldehinkel AJ, Pausova Z, Qaiser B, Quaye L, Ramos-Quiroga JA, Richarte V, Rose RJ, Shin J, Stallings MC, Stiby AI, Wall TL, Wright MJ, Koot HM, Paus T, Hewitt JK, Ribasés M, Kaprio J, Boks MP, Snieder H, Spector T, Munafò MR, Metspalu A, Gelernter J, Boomsma DI, Iacono WG, Martin NG, Gillespie NA, Derks EM, Vink JM. Erratum to "Short communication: Genetic association between schizophrenia and cannabis use" [Drug Alcohol Depend. 171 (2017) 117-121]. Drug Alcohol Depend 2017; 173:e1-e2. [PMID: 28283211 PMCID: PMC6380510 DOI: 10.1016/j.drugalcdep.2017.02.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- Sven Stringer
- Department of Complex Trait Genetics, VU Amsterdam, Center for Neurogenomics and Cognitive Research,
Amsterdam, The Netherlands,Department of Psychiatry, Academic Medical Centre, Amsterdam, The Netherlands
| | - Camelia C. Minică
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The
Netherlands
| | - Karin J.H. Verweij
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The
Netherlands,Neuroscience Campus Amsterdam, Amsterdam, The Netherlands,VU University, Department of Developmental Psychology and EMGO Institute for Health and Care Research,
Amsterdam, The Netherlands
| | - Hamdi Mbarek
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The
Netherlands
| | - Manon Bernard
- The Hospital for Sick Children Research Institute, Toronto, Canada
| | - Jaime Derringer
- Department of Psychology, University of Illinois Urbana-Champaign, Champaign, Illinois, USA
| | - Kristel R. van Eijk
- Department of Human Neurogenetics, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht,
The Netherlands
| | - Joshua D. Isen
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Anu Loukola
- Department of Public Health, University of Helsinki, Hjelt Institute, Helsinki, Finland
| | - Dominique F. Maciejewski
- VU University, Department of Developmental Psychology and EMGO Institute for Health and Care Research,
Amsterdam, The Netherlands
| | | | - Peter J. van der Most
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The
Netherlands
| | - Cristina Sánchez-Mora
- Psychiatric Genetics Unit, 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), Barcelona, Spain
| | - Leonie Roos
- Twin Research and Genetic Epidemiology, King’s College London, London, United Kingdom
| | - Richard Sherva
- Biomedical Genetics Department, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Raymond Walters
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts, USA,Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts,
USA,Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Jennifer J. Ware
- School of Social and Community Medicine, University of Bristol, Bristol, UK,MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
| | - Abdel Abdellaoui
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The
Netherlands
| | - Timothy B. Bigdeli
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth
University, Richmond, Virginia, USA
| | - Susan J.T. Branje
- Research Centre Adolescent Development, Utrecht University, Utrecht, the Netherlands
| | - Sandra A. Brown
- Department of Psychology and Psychiatry, University of California San Diego, La Jolla, California,
USA
| | - Marcel Bruinenberg
- The LifeLines Cohort Study, University of Groningen, Groningen, The Netherlands
| | - Miguel Casas
- Department of Psychiatry, Hospital Universitari Vall d’Hebron, Barcelona, Spain,Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain,Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona,
Spain
| | - Tõnu Esko
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Iris Garcia-Martinez
- Psychiatric Genetics Unit, Vall d’Hebron Research Institute (VHIR), Universitat Autònoma de
Barcelona, Barcelona, Spain,Department of Psychiatry, Hospital Universitari Vall d’Hebron, Barcelona, Spain
| | - Scott D. Gordon
- Genetic Epidemiology, Molecular Epidemiology and Neurogenetics Laboratories, QIMR Berghofer Medical
Research Institute, Brisbane, Queensland, Australia
| | - Juliette M. Harris
- Twin Research and Genetic Epidemiology, King’s College London, London, United Kingdom
| | - Catharina A. Hartman
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The
Netherlands
| | - Anjali K. Henders
- Genetic Epidemiology, Molecular Epidemiology and Neurogenetics Laboratories, QIMR Berghofer Medical
Research Institute, Brisbane, Queensland, Australia
| | - Andrew C. Heath
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri, USA
| | - Ian B. Hickie
- Brain & Mind Research Institute, University of Sydney, Sydney, NSW, Australia
| | - Matthew Hickman
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Christian J. Hopfer
- Department of Psychiatry, University of Colorado Denver, Aurora, Colorado, USA
| | - Jouke Jan Hottenga
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The
Netherlands
| | - Anja C. Huizink
- VU University, Department of Developmental Psychology and EMGO Institute for Health and Care Research,
Amsterdam, The Netherlands
| | - Daniel E. Irons
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota, USA
| | - René S. Kahn
- Department of Human Neurogenetics, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht,
The Netherlands
| | - Tellervo Korhonen
- Department of Public Health, University of Helsinki, Hjelt Institute, Helsinki, Finland,University of Eastern Finland, Institute of Public Health & Clinical Nutrition, Kuopio, Finland,Department of Mental Health and Substance Abuse Services, National Institute for Health and Welfare,
Helsinki, Finland
| | - Henry R. Kranzler
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA
| | - Ken Krauter
- Department of Molecular, Cellular and Developmental Biology, University of Colorado Boulder, Boulder,
Colorado, USA
| | - Pol A.C. van Lier
- VU University, Department of Developmental Psychology and EMGO Institute for Health and Care Research,
Amsterdam, The Netherlands
| | - Gitta H. Lubke
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The
Netherlands,Department of Psychology, University of Notre Dame, Notre Dame, Indiana, USA
| | - Pamela A.F. Madden
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri, USA
| | - Reedik Mägi
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Matt K. McGue
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Sarah E. Medland
- Genetic Epidemiology, Molecular Epidemiology and Neurogenetics Laboratories, QIMR Berghofer Medical
Research Institute, Brisbane, Queensland, Australia
| | - Wim H.J. Meeus
- Research Centre Adolescent Development, Utrecht University, Utrecht, the Netherlands,Developmental Psychology, Tilburg University, Tilburg, The Netherlands
| | - Michael B. Miller
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Grant W. Montgomery
- Genetic Epidemiology, Molecular Epidemiology and Neurogenetics Laboratories, QIMR Berghofer Medical
Research Institute, Brisbane, Queensland, Australia
| | - Michel G. Nivard
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The
Netherlands
| | - Ilja M. Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The
Netherlands
| | - Albertine J. Oldehinkel
- Interdisciplinary Center for Pathology and Emotion Regulation, University of Groningen, University Medical
Center Groningen, Groningen, The Netherlands
| | - Zdenka Pausova
- The Hospital for Sick Children Research Institute, Toronto, Canada,Physiology and Nutritional Sciences, University of Toronto, Toronto, Canada
| | - Beenish Qaiser
- Department of Public Health, University of Helsinki, Hjelt Institute, Helsinki, Finland
| | - Lydia Quaye
- Twin Research and Genetic Epidemiology, King’s College London, London, United Kingdom
| | - Josep A. Ramos-Quiroga
- Department of Psychiatry, Hospital Universitari Vall d’Hebron, Barcelona, Spain,Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain,Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona,
Spain
| | - Vanesa Richarte
- Department of Psychiatry, Hospital Universitari Vall d’Hebron, Barcelona, Spain
| | - Richard J. Rose
- Department of Psychological & Brain Sciences, Indiana University Bloomington, Bloomington, Indiana,
USA
| | - Jean Shin
- The Hospital for Sick Children Research Institute, Toronto, Canada
| | - Michael C. Stallings
- Institute for Behavioral Genetics, Department of Psychology and Neuroscience, University of Colorado
Boulder, Boulder, Colorado, USA
| | - Alex I. Stiby
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Tamara L. Wall
- Department of Psychiatry, University of California San Diego, La Jolla, California, USA
| | - Margaret J. Wright
- Genetic Epidemiology, Molecular Epidemiology and Neurogenetics Laboratories, QIMR Berghofer Medical
Research Institute, Brisbane, Queensland, Australia
| | - Hans M. Koot
- VU University, Department of Developmental Psychology and EMGO Institute for Health and Care Research,
Amsterdam, The Netherlands
| | - Tomas Paus
- Rotman Research Institute, Baycrest, Toronto, Canada,Psychology and Psychiatry, University of Toronto, Toronto, Canada,Center for the Developing Brain, Child Mind Institute, New York, USA
| | - John K. Hewitt
- Institute for Behavioral Genetics, Department of Psychology and Neuroscience, University of Colorado
Boulder, Boulder, Colorado, USA
| | - Marta Ribasés
- Psychiatric Genetics Unit, 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), Barcelona, Spain
| | - Jaakko Kaprio
- Department of Public Health, University of Helsinki, Hjelt Institute, Helsinki, Finland,Department of Mental Health and Substance Abuse Services, National Institute for Health and Welfare,
Helsinki, Finland,Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Marco P. Boks
- Department of Human Neurogenetics, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht,
The Netherlands
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The
Netherlands
| | - Tim Spector
- Twin Research and Genetic Epidemiology, King’s College London, London, United Kingdom
| | - Marcus R. Munafò
- School of Social and Community Medicine, University of Bristol, Bristol, UK,UK Centre for Tobacco and Alcohol Studies and School of Experimental Psychology, University of Bristol,
Bristol, UK
| | | | - Joel Gelernter
- Psychiatry, Genetics, & Neurobiology, Yale University School of Medicine & VA CT, West Haven,
Connecticut, USA
| | - Dorret I. Boomsma
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The
Netherlands,Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
| | - William G. Iacono
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Nicholas G. Martin
- Genetic Epidemiology, Molecular Epidemiology and Neurogenetics Laboratories, QIMR Berghofer Medical
Research Institute, Brisbane, Queensland, Australia
| | - Nathan A. Gillespie
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth
University, Richmond, Virginia, USA,Genetic Epidemiology, Molecular Epidemiology and Neurogenetics Laboratories, QIMR Berghofer Medical
Research Institute, Brisbane, Queensland, Australia
| | - Eske M. Derks
- Department of Psychiatry, Academic Medical Centre, Amsterdam, The Netherlands
| | - Jacqueline M. Vink
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The
Netherlands,Behavioural Science Institute, Radboud University, Nijmegen, The Netherlands
| |
Collapse
|
6
|
Stringer S, Minică CC, Verweij KJH, Mbarek H, Bernard M, Derringer J, van Eijk KR, Isen JD, Loukola A, Maciejewski DF, Mihailov E, van der Most PJ, Sánchez-Mora C, Roos L, Sherva R, Walters R, Ware JJ, Abdellaoui A, Bigdeli TB, Branje SJT, Brown SA, Bruinenberg M, Casas M, Esko T, Garcia-Martinez I, Gordon SD, Harris JM, Hartman CA, Henders AK, Heath AC, Hickie IB, Hickman M, Hopfer CJ, Hottenga JJ, Huizink AC, Irons DE, Kahn RS, Korhonen T, Kranzler HR, Krauter K, van Lier PAC, Lubke GH, Madden PAF, Mägi R, McGue MK, Medland SE, Meeus WHJ, Miller MB, Montgomery GW, Nivard MG, Nolte IM, Oldehinkel AJ, Pausova Z, Qaiser B, Quaye L, Ramos-Quiroga JA, Richarte V, Rose RJ, Shin J, Stallings MC, Stiby AI, Wall TL, Wright MJ, Koot HM, Paus T, Hewitt JK, Ribasés M, Kaprio J, Boks MP, Snieder H, Spector T, Munafò MR, Metspalu A, Gelernter J, Boomsma DI, Iacono WG, Martin NG, Gillespie NA, Derks EM, Vink JM. Genome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32 330 subjects from the International Cannabis Consortium. Transl Psychiatry 2016; 6:e769. [PMID: 27023175 PMCID: PMC4872459 DOI: 10.1038/tp.2016.36] [Citation(s) in RCA: 110] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2015] [Accepted: 12/21/2015] [Indexed: 01/15/2023] Open
Abstract
Cannabis is the most widely produced and consumed illicit psychoactive substance worldwide. Occasional cannabis use can progress to frequent use, abuse and dependence with all known adverse physical, psychological and social consequences. Individual differences in cannabis initiation are heritable (40-48%). The International Cannabis Consortium was established with the aim to identify genetic risk variants of cannabis use. We conducted a meta-analysis of genome-wide association data of 13 cohorts (N=32 330) and four replication samples (N=5627). In addition, we performed a gene-based test of association, estimated single-nucleotide polymorphism (SNP)-based heritability and explored the genetic correlation between lifetime cannabis use and cigarette use using LD score regression. No individual SNPs reached genome-wide significance. Nonetheless, gene-based tests identified four genes significantly associated with lifetime cannabis use: NCAM1, CADM2, SCOC and KCNT2. Previous studies reported associations of NCAM1 with cigarette smoking and other substance use, and those of CADM2 with body mass index, processing speed and autism disorders, which are phenotypes previously reported to be associated with cannabis use. Furthermore, we showed that, combined across the genome, all common SNPs explained 13-20% (P<0.001) of the liability of lifetime cannabis use. Finally, there was a strong genetic correlation (rg=0.83; P=1.85 × 10(-8)) between lifetime cannabis use and lifetime cigarette smoking implying that the SNP effect sizes of the two traits are highly correlated. This is the largest meta-analysis of cannabis GWA studies to date, revealing important new insights into the genetic pathways of lifetime cannabis use. Future functional studies should explore the impact of the identified genes on the biological mechanisms of cannabis use.
Collapse
Affiliation(s)
- S Stringer
- Department of Complex Trait Genetics, VU Amsterdam, Center for Neurogenomics and Cognitive Research, Amsterdam, The Netherlands
- Department of Psychiatry, Academic Medical Centre, Amsterdam, The Netherlands
| | - C C Minică
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The Netherlands
| | - K J H Verweij
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The Netherlands
- Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
- Department of Developmental Psychology and EMGO Institute for Health and Care Research, VU University, Amsterdam, The Netherlands
| | - H Mbarek
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The Netherlands
| | - M Bernard
- The Hospital for Sick Children Research Institute, Toronto, Canada
| | - J Derringer
- Department of Psychology, University of Illinois Urbana-Champaign, Champaign, IL, USA
| | - K R van Eijk
- Department of Human Neurogenetics, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - J D Isen
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - A Loukola
- Department of Public Health, Hjelt Institute, University of Helsinki, Helsinki, Finland
| | - D F Maciejewski
- Department of Developmental Psychology and EMGO Institute for Health and Care Research, VU University, Amsterdam, The Netherlands
| | - E Mihailov
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - P J van der Most
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - C Sánchez-Mora
- Psychiatric Genetics Unit, 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), Barcelona, Spain
| | - L Roos
- Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - R Sherva
- Biomedical Genetics Department, Boston University School of Medicine, Boston, MA, USA
| | - R Walters
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - J J Ware
- School of Social and Community Medicine, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
| | - A Abdellaoui
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The Netherlands
| | - T B Bigdeli
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - S J T Branje
- Research Centre Adolescent Development, Utrecht University, Utrecht, The Netherlands
| | - S A Brown
- Department of Psychology and Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - M Bruinenberg
- The LifeLines Cohort Study, University of Groningen, Groningen, The Netherlands
| | - M Casas
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain
- Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - T Esko
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - I Garcia-Martinez
- Psychiatric Genetics Unit, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - S D Gordon
- Genetic Epidemiology, Molecular Epidemiology and Neurogenetics Laboratories, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - J M Harris
- Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - C A Hartman
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - A K Henders
- Genetic Epidemiology, Molecular Epidemiology and Neurogenetics Laboratories, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - A C Heath
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - I B Hickie
- Brain and Mind Research Institute, University of Sydney, Sydney, NSW, Australia
| | - M Hickman
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - C J Hopfer
- Department of Psychiatry, University of Colorado Denver, Aurora, CO, USA
| | - J J Hottenga
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The Netherlands
| | - A C Huizink
- Department of Developmental Psychology and EMGO Institute for Health and Care Research, VU University, Amsterdam, The Netherlands
| | - D E Irons
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - R S Kahn
- Department of Human Neurogenetics, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - T Korhonen
- Department of Public Health, Hjelt Institute, University of Helsinki, Helsinki, Finland
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
- Department of Mental Health and Substance Abuse Services, National Institute for Health and Welfare, Helsinki, Finland
| | - H R Kranzler
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - K Krauter
- Department of Molecular, Cellular and Developmental Biology, University of Colorado Boulder, Boulder, CO, USA
| | - P A C van Lier
- Department of Developmental Psychology and EMGO Institute for Health and Care Research, VU University, Amsterdam, The Netherlands
| | - G H Lubke
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The Netherlands
- Department of Psychology, University of Notre Dame, Notre Dame, IN, USA
| | - P A F Madden
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - R Mägi
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - M K McGue
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - S E Medland
- Genetic Epidemiology, Molecular Epidemiology and Neurogenetics Laboratories, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - W H J Meeus
- Research Centre Adolescent Development, Utrecht University, Utrecht, The Netherlands
- Developmental Psychology, Tilburg University, Tilburg, The Netherlands
| | - M B Miller
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - G W Montgomery
- Genetic Epidemiology, Molecular Epidemiology and Neurogenetics Laboratories, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - M G Nivard
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The Netherlands
| | - I M Nolte
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - A J Oldehinkel
- Interdisciplinary Center for Pathology and Emotion Regulation, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Z Pausova
- The Hospital for Sick Children Research Institute, Toronto, Canada
- Department of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON, Canada
| | - B Qaiser
- Department of Public Health, Hjelt Institute, University of Helsinki, Helsinki, Finland
| | - L Quaye
- Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - J A Ramos-Quiroga
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain
- Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - V Richarte
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - R J Rose
- Department of Psychological and Brain Sciences, Indiana University Bloomington, Bloomington, IN, USA
| | - J Shin
- The Hospital for Sick Children Research Institute, Toronto, Canada
| | - M C Stallings
- Department of Psychology and Neuroscience, Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - A I Stiby
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - T L Wall
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - M J Wright
- Genetic Epidemiology, Molecular Epidemiology and Neurogenetics Laboratories, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - H M Koot
- Department of Developmental Psychology and EMGO Institute for Health and Care Research, VU University, Amsterdam, The Netherlands
| | - T Paus
- Rotman Research Institute, Baycrest, Toronto, ON, Canada
- Department of Psychology and Psychiatry, University of Toronto, Toronto, ON, Canada
- Center for the Developing Brain, Child Mind Institute, New York, NY, USA
| | - J K Hewitt
- Department of Psychology and Neuroscience, Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - M Ribasés
- Psychiatric Genetics Unit, 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), Barcelona, Spain
| | - J Kaprio
- Department of Public Health, Hjelt Institute, University of Helsinki, Helsinki, Finland
- Department of Mental Health and Substance Abuse Services, National Institute for Health and Welfare, Helsinki, Finland
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - M P Boks
- Department of Human Neurogenetics, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - H Snieder
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - T Spector
- Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - M R Munafò
- School of Social and Community Medicine, University of Bristol, Bristol, UK
- UK Centre for Tobacco and Alcohol Studies and School of Experimental Psychology, University of Bristol, Bristol, UK
| | - A Metspalu
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - J Gelernter
- Department of Psychiatry, Genetics, and Neurobiology, Yale University School of Medicine and VA CT, West Haven, CT, USA
| | - D I Boomsma
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The Netherlands
- Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
| | - W G Iacono
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - N G Martin
- Genetic Epidemiology, Molecular Epidemiology and Neurogenetics Laboratories, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - N A Gillespie
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Richmond, VA, USA
- Genetic Epidemiology, Molecular Epidemiology and Neurogenetics Laboratories, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - E M Derks
- Department of Psychiatry, Academic Medical Centre, Amsterdam, The Netherlands
| | - J M Vink
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The Netherlands
- Behavioural Science Institute, Radboud University, Nijmegen, The Netherlands
| |
Collapse
|
7
|
Abstract
AIMS We sought to estimate the contribution of genetic and environmental factors to adolescent tobacco, alcohol and other substance use. DESIGN, SETTING AND PARTICIPANTS The sample consisted of 327 monozygotic and 174 like-sex dizygotic twin pairs born in Minnesota and aged 17-18 years at time of assessment. Biometrical methods were used to estimate the contribution of additive genetic, shared and non-shared environmental factors to adolescent substance use. MEASUREMENTS As part of a day-long psychological assessment, adolescent twins completed a computerized substance use interview to determine whether they had ever used tobacco, alcohol or other illicit drugs. FINDINGS The heritability for the liabilities to tobacco, alcohol and other drug use was estimated to be 59%, 60% and 33% among males, and 11%, 10% and 11% among females. However, the gender difference was not statistically significant. Estimates of shared environmental effect were substantial and insignificantly higher among females (71%, 68% and 36%, respectively) than among males (18%, 23% and 23%, respectively). The covariation among the three substance use phenotypes could be accounted for by a common underlying substance use factor. Estimates of the contributions of genetic, shared environmental and non-shared environmental factors to variance in this factor were 23% 63% and 14%, respectively. CONCLUSIONS These findings add to the growing behavioral genetic literature indicating that adolescent initiation of substance use, a powerful predictor of adult substance use diagnosis, is influenced primarily by environmental rather than genetic factors.
Collapse
Affiliation(s)
- C Han
- Department of Psychology, University of Minnesota, Minneapolis 55455, USA.
| | | | | |
Collapse
|
8
|
Sharma AR, McGue MK, Benson PL. The psychological adjustment of United States adopted adolescents and their nonadopted siblings. Child Dev 1998; 69:791-802. [PMID: 9680685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Using data from a national sample of 715 United States adoptive families, comparisons were made between adopted adolescents and birth adolescents (children born to the adoptive parents) on the Youth Self-Report (Achenbach), 8 psychological and behavioral adjustment factor scales from the Attitudes and Behaviors survey (Benson), and an identity scale (Search Institute). Multivariate, followed by univariate, analyses of variance showed significant differences between the 2 groups on the psychological factor scales of Licit Drug Use and School Adjustment. A subsample of nonclinically referred adopted adolescents were also compared to norms on the Youth Self-Report. Nonreferred adopted boys showed higher levels of adjustment than the norm group on Withdrawn behaviors. Nonreferred adopted girls showed better adjustment than the norm group on Social Problems and Withdrawn behaviors and poorer adjustment on Delinquent Behavior and Externalizing behavior. (Standardized effect sizes were in the small to moderate range.) These same patterns were evidenced when controlling for ethnicity. These data are examined within Brodzinsky's stress and coping model of adoptee adjustment and support a body of adoption research that finds a pattern of small but significant differences between adopted and nonadopted persons. The differences showing poorer adoptee adjustment in comparison to nonadoptees should not be overstated as is sometimes the case in the adoption clinical literature, and areas in which adoptees evidence higher levels of psychological functioning should be further researched.
Collapse
Affiliation(s)
- A R Sharma
- Search Institute, Minneapolis, MN 55415, USA.
| | | | | |
Collapse
|
9
|
Holdcraft LC, Iacono WG, McGue MK. Antisocial Personality Disorder and depression in relation to alcoholism: a community-based sample. J Stud Alcohol 1998; 59:222-6. [PMID: 9500310 DOI: 10.15288/jsa.1998.59.222] [Citation(s) in RCA: 66] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE Antisocial Personality Disorder (ASPD) and depression frequently co-occur with alcoholism. This study examined the relationship between the presence of ASPD or depression and the course and severity of alcoholism. METHOD Alcoholic men (n = 207), recruited from a community-based sample, the Minnesota Twin-Family Study (MTFS), were categorized according to comorbid diagnoses into the following four groups: alcoholics with ASPD (n = 25), alcoholics with depression (n = 24), alcoholics with neither ASPD nor depression, but who were allowed to have additional psychopathology (n = 130) and alcoholics with no other psychiatric diagnoses (n = 28). The four diagnostic subgroups were compared on alcohol and drug use, alcohol-related problems and personality dimensions. RESULTS ASPD was associated with an earlier age of first intoxication, a more chronic and severe course of alcoholism, more social consequences of drinking and higher levels of drug use. On the whole, depression was associated with a less severe course of alcoholism. Alcoholics with depression and alcoholics with ASPD had higher negative emotionality, and alcoholics with ASPD had lower constraint scores on the Multidimensional Personality Questionnaire. CONCLUSIONS These findings, derived from a community-based sample, indicate the importance of assessing comorbidity among alcoholics and confirm the association of ASPD with a more severe and chronic course of alcoholism and with higher likelihood of drug abuse.
Collapse
Affiliation(s)
- L C Holdcraft
- Department of Psychology, University of Minnesota, Minneapolis 55455, USA
| | | | | |
Collapse
|
10
|
Abstract
OBJECTIVE This study used a model-fitting strategy to estimate genetic and environmental contributions to the core behavioral dimensions associated with attention-deficit hyperactivity disorder (ADHD) in 576 twin boys, aged 11 and 12 years. METHOD Teacher ratings and maternal structured interview reports composed of behavioral items including DSM-III and DSM-III-R criteria for ADHD were obtained for 194 pairs of monozygotic and 94 pairs of dizygotic twins. Factor analysis of these measures yielded two ADHD-related dimensions, inattention and impulsivity-hyperactivity. Scales representing these dimensions were used in the genetic analyses. RESULTS Univariate analyses supported a substantial contribution of genetic factors in the expression of inattention and impulsivity-hyperactivity and smaller contributions of shared and nonshared environmental factors. Results varied according to informant source, with mothers' reports suggestive of rater bias effects. Bivariate analyses indicated that the correlation between these two ADHD dimensions was also genetically mediated. CONCLUSIONS Genetic factors are etiologically important in the expression of the separate dimensions of ADHD and in the covariation between them. However, it is important to obtain reports from more than one informant because rater bias effects may be operative, particularly in maternal reports.
Collapse
Affiliation(s)
- D K Sherman
- University of Michigan Medical Center, Ann Arbor, USA
| | | | | |
Collapse
|
11
|
Abstract
OBJECTIVE The present study examined probandwise concordance rates for attention deficit hyperactivity disorder (ADHD) in a community sample of 194 monozygotic and 94 dizygotic male twins, ages 11-12 years. METHOD DSM-III and DSM-III-R diagnoses of ADHD were based on rating scale reports from the twins' teachers and structured interview reports obtained from their mothers. Model-fitting analyses were used to estimate genetic and environmental effects on ADHD. RESULTS Concordance rates for ADHD were greater for monozygotic than dizygotic twins according to both mothers' and teachers' reports; this finding indicates the importance of genetic factors in the etiology of this syndrome. Fifteen percent of subjects received an ADHD diagnosis by teachers' ratings, compared with 6% by mothers' reports. Three percent of subjects met criteria for ADHD in both school and home settings. Teachers' ratings yielded moderate monozygotic and dizygotic concordance rates, in contrast to mothers' reports, which indicated a high monozygotic and a zero dizygotic concordance for ADHD. A model that included additive genetic and nonshared environmental factors provided the best fit to these ADHD data. CONCLUSIONS ADHD, as defined by DSM criteria, appears to be a genetically influenced disorder whether diagnoses are based on teachers' or mothers' reports. However, the extent of this genetic influence seems to vary by informant source. These findings suggest that obtaining diagnostic data from either teachers' or mothers' reports alone may provide an incomplete characterization of ADHD.
Collapse
Affiliation(s)
- D K Sherman
- Department of Psychology, University of Minnesota, Minneapolis 55455-0344, USA
| | | | | |
Collapse
|
12
|
Abstract
The present study examined the heritability of the P3 waveform and the N1, P2, and N2 components by assessing the visual event-related potential (ERP) of 30 monozygotic (MZ) and 34 dizygotic (DZ) twin pairs. Electroencephalogram activity was recorded from Pz, P3, and P4 scalp sites while individuals performed a reaction time task involving two conditions differing in difficulty. Genetic modeling indicated substantial genetic influence on P3 amplitude, P3 latency, and manual reaction time for the difficult condition. No significant heritability was found for the latency of P3 or manual reaction time for the easy condition, but P3 amplitude was heritable for this condition. The amplitude of the early components (N1, P2, and N2) was heritable, but no significant genetic influences were found for the latency of these components. Compared with the DZ twins, the greater similarity of the MZ pairs on the event-related potential measures was not due to their greater similarity in either head dimensions or mental ability, despite the facts that IQ scores were weakly correlated with P3 and N2 amplitude and that amplitude and latency were related to some measures of head size. These findings suggest that P3 amplitude and the amplitude of earlier ERP components are under partial genetic control, supporting the notion that these ERP components could perhaps be used to identify genetic risk for psychopathology.
Collapse
Affiliation(s)
- J Katsanis
- Department of Psychology, University of Minnesota, Minneapolis 55455, USA
| | | | | | | |
Collapse
|
13
|
Abstract
The present study examined the latency and amplitude of P300 in a large sample of subjects between 11 and 21 years old. The P300 components of the visual event-related potential showed consistent and significant age-related changes. Peak amplitude was found to diminish with increasing age, whereas peak latency decreased. Our data indicate that a linear relationship best explains the association between age and P300 amplitude and latency. The changes in P300 amplitude and latency across the different ages are likely to reflect developmental changes in mental processing that are not due to a decrease in general cortical reactivity with increasing age or the result of subject noncompliance.
Collapse
Affiliation(s)
- J Katsanis
- Department of Psychology, University of Minnesota, Minneapolis 55455, USA
| | | | | |
Collapse
|
14
|
Goay MS, Prasad B, Gilbertson D, Altmann M, McGue MK, Gatewood L, Rich SS. Simulation of stochastic micropopulation models--IV. SNAPPERS: model implementation for genetic traits. Comput Biol Med 1995; 25:519-31. [PMID: 8665797 DOI: 10.1016/0010-4825(95)00033-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
The current paper concerning stochastic micropopulation simulations describes SNAPPERS, which serves as a framework for simulation models of the genetic transmission of disease. The versions described are implemented using the simulation shell, SUMMERS, which includes the generic commonalities of several micropopulation models. Population members in SNAPPERS move through states related to the individual's status relative to the genotype (phenotype). Features of the model include one or two major loci, polygenic and common familial contribution to the phenotype, assortative mating, and flexibility in defining gene action. The user can select from multiple ascertainment strategies for analysis of simulated families.
Collapse
Affiliation(s)
- M S Goay
- National Micropopulation Simulation Resource, University of Minnesota, Minneapolis 55455, USA
| | | | | | | | | | | | | |
Collapse
|
15
|
Vogler GP, Wette R, McGue MK, Rao DC. Properties of alternative estimators of familial correlations under variable sibship size. Biometrics 1995; 51:276-83. [PMID: 7766782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Selected distributional properties of a variety of estimators of familial correlations (spouse, parent-child, and sibling) were investigated numerically, focusing particularly on sibling correlations under variable sibship size. Maximum likelihood estimators were evaluated for each of the three familial relationships. An additional parent-offspring estimator was studied using a parent-midoffspring estimate pooled over variable sibship size. For sibling intraclass correlations, three estimators based on analysis of variance and three pairwise estimators using different weighting functions for variable sibship sizes were investigated. Correlations were estimated from data simulated under eight sampling conditions (each replicated 1,000 times) using two sets of true parameter values, moderate and large sample sizes, and normal versus highly non-normal sample distributions of data. The estimators are nearly unbiased and efficient, but none of the sibling correlation estimators are normally distributed in small samples. Estimates from highly non-normal data are nearly unbiased but are less efficient than those from normal data.
Collapse
Affiliation(s)
- G P Vogler
- Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri 63110, USA
| | | | | | | |
Collapse
|
16
|
Abstract
To test if familial transmission of schizophrenia is consistent with a model of monogenic inheritance with a multifactorial background, a mixed-model segregation analysis was applied to Swedish pedigrees consisting of 270 probands in 263 nuclear families. Results of the best-fitting mixed-model solutions are consistent with multifactorial transmission and no major gene. However, numerical instabilities prevented formal hypothesis testing, so an irrefutable genetic mechanism remains unidentified. Alternative research strategies that exploit recent advances in molecular genetics are discussed.
Collapse
Affiliation(s)
- G P Vogler
- Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri 63110
| | | | | | | |
Collapse
|
17
|
Wette R, McGue MK, Rao DC, Cloninger CR. On the properties of maximum likelihood estimators of familial correlations under variable sibship size. Biometrics 1988; 44:717-25. [PMID: 3203127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Selected distributional properties of the maximum likelihood estimator and its z-transformation of three familial correlations (parental, parent-offspring, filial) were investigated numerically for the case of nuclear families with variable sibship size. This investigation was based on six different sets of the three correlations, and four different sample sizes, defining 24 sampling conditions, which were replicated 1,000 times each. It was found that the distributional properties of the correlation estimator are affected by the magnitude of the correlations even in large samples although approximate normality is achieved locally. Fisher's z-transformation, here used only in its interclass form, achieves reduction of skewness, stabilization of variance, and approach to normality already in small samples, except for the filial correlation (where it may be deemed inappropriate) in smaller samples. For both the correlation estimator and its z-transformation, the (estimated) relative efficiency was shown to be high (better than 90% in most sampling conditions), suggesting that the estimated minimum variance bound is a satisfactory estimator of the sampling variance. It is concluded that the maximum likelihood estimation of familial correlations under variable sibship size is feasible and, when prudently applied, especially in the form of their z-transformations, provides an appropriate method in analyses of family studies.
Collapse
Affiliation(s)
- R Wette
- Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri 63110
| | | | | | | |
Collapse
|
18
|
Schuster DP, Rowley H, Feinstein S, McGue MK, Zuckerman GR. Prospective evaluation of the risk of upper gastrointestinal bleeding after admission to a medical intensive care unit. Am J Med 1984; 76:623-30. [PMID: 6608877 DOI: 10.1016/0002-9343(84)90286-9] [Citation(s) in RCA: 181] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
One hundred seventy-four patients (179 admissions) were prospectively evaluated for the subsequent occurrence of upper gastrointestinal ("stress") bleeding after admission to a medical/respiratory intensive care unit. Evidence for either overt or occult gastrointestinal bleeding developed in 25 (14 percent). The group of bleeders had a higher mortality (64 percent versus 9 percent), duration of intensive care unit stay (median 14.2 versus 4.2 days), number of patients requiring mechanical ventilatory support (84 percent versus 26 percent), and duration of such support for those who required it (median 9.5 versus 4.2 days) than the group who did not bleed. In three patients, death was related to bleeding. Upon patients' admission to the intensive care unit, diagnoses of an acute respiratory illness (but not specifically chronic obstructive pulmonary disease), a malignancy, or sepsis were more common among those who subsequently bled. Of factors tested, a coagulopathy and the need for mechanical ventilation were most strongly associated with the risk of bleeding. Other factors did not add to the risk once these two were taken into account. Among patients receiving mechanical ventilation, the risk of overt bleeding was particularly low for those who required such support for less than five days (only 3 percent). It is concluded that (1) significant upper gastrointestinal bleeding occurring after medical intensive care unit admission is an uncommon event, and (2) prolonged mechanical ventilation and/or the presence of a coagulopathy are the most potent risk factors. Medical patients with either of the latter conditions are most likely to benefit from prophylaxis regimens against "stress"-induced upper gastrointestinal bleeding.
Collapse
|
19
|
Abstract
Blood enzyme activities that might be suggestive of organ-specific damage were measured over a six-week period in two, male, long-distance runners training for a marathon. Striking changes were observed in the CK and LD isoenzymes. Runner B exhibited a flipped LD1/LD2 isoenzyme ratio that paralleled his persistent MB CK elevation. The hepatic enzyme ALT was transiently elevated in Runner A. These data suggest that increases of cardiac isoenzymes (MB CK and LD1) and the specific hepatic enzyme ALT could lead to an inappropriate laboratory diagnosis of a myocardial infarction or liver disease, respectively, in a healthy runner during intense training for a marathon.
Collapse
|