Genetic etiology of the common liability to drug dependence: evidence of common and specific mechanisms for DSM-IV dependence symptoms.
- Authors
- Palmer, Rohan H C; Button, Tanya M; Rhee, Soo H; Corley, Robin P; Young, Susan E; Stallings, Michael C; Hopfer, Christian J; Hewitt, John K
- Year
- 2012
- Journal
- Drug and alcohol dependence
- PMID
- 22243758
- DOI
- 10.1016/j.drugalcdep.2011.12.015
- PMCID
- PMC3342475
BACKGROUND: We investigated the etiological nature of comorbid alcohol, tobacco, and cannabis DSM-IV dependence symptoms in late adolescence and young adulthood while accounting for gender differences in the magnitude of genetic and environmental influences. METHODS: Univariate and multivariate twin modeling was used to determine the heritability of each substance and the etiology of multiple drug problems in a sample of 2484 registrants of the Center for Antisocial Drug Dependence who provided data at the second wave of an ongoing longitudinal study. We report on mean and prevalence levels of whole-life DSM-IV dependence symptoms that were assessed with the Composite International Diagnostic Interview-Substance Abuse Module. Biometrical analyses were limited to age-adjusted DSM-IV dependence symptom counts from a subset of twins that reported using alcohol, tobacco, or cannabis in their lifetime. RESULTS: Male and female alcohol, tobacco, and cannabis DSM-IV symptoms are indicators of a heritable unidimensional latent continuous trait. Additive genetic factors explain more than 60% of the common liability to drug dependence. A larger proportion of the variation in each substance is attributable to substance-specific genetic and environmental factors. CONCLUSIONS: These data suggest that both common and substance-specific genetic and environmental factors contribute to individual differences in the levels of DSM-IV alcohol, tobacco, and cannabis dependence symptoms.
Multivariate biometrical models; Only Twin 1 depictedNote: Path diagrams of multivariate behavioral genetic models used to describe multivariate or longitudinal data. Figure 1a describes the Independent Pathway Model that consists of a common genetic and environmental factor that describes the covariance between substances, while the specific factors capture genetic and environmental influences that are unique to each substance. The Common Pathway Model, depicted in Figure 1b, is a restricted form of the Independent Pathway Model created by positing that the covariation between substances arises from a latent factor (referred to as Substance Dependence Vulnerability). Abbreviations: A β additive genetic effects; C β shared environmental effects; Common β identifies the portion of the model which estimates factor loadings common to all phenotypes; E β non-shared environmental effects; Specific β describes the portion of the model that identifies genetic or environmental effects that are unique to a particular phenotype, beyond that which may already be shared; Alc β Alcohol; Tob β Tobacco; Can - Cannabis.
LLM interpretation
This is a path diagram illustrating the "Common Pathway Model" for multivariate behavioral genetics. The model shows a latent factor, "Substance Dependence Vulnerability," influenced by common additive genetic (A), shared environmental (C), and non-shared environmental (E) effects, which in turn influences three phenotypes: Alcohol (Alc), Tobacco (Tob), and Cannabis (Can). Additionally, each phenotype is influenced by its own set of specific A, C, and E factors.
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|---|---|---|---|---|
| Genetic overlap of chronic pain, musculoskeletal-specific pain, substance use disorders and substance use consumption: Common addiction and substance-specific effects. | Rader L et al. | β | 2026 | β |
| "General Addiction Liability" Revisited. | Watts AL et al. | β | 2025 | β |
| The BioSUD Biobank as a genomic resource for substance use disorders in Italy. | Ribatti RM et al. | β | 2025 | β |
| Atypical effective connectivity from the frontal cortex to striatum in alcohol use disorder. | Song H et al. | β | 2024 | β |
| Discrimination and Tobacco Use Outcomes Among US Adults: Effect Modification by Race/Ethnicity. | Mattingly DT et al. | β | 2024 | β |
| Distress about social problems and tobacco and cannabis use outcomes among young adults in Los Angeles County. | Mattingly DT et al. | β | 2024 | β |
| Generalized genetic liability to substance use disorders. | Miller AP et al. | β | 2024 | β |
| Genetic and shared environmental factors explain the association between adolescent polysubstance use and high school noncompletion. | Davis CN et al. | β | 2024 | β |
| Individual Differences in Substance Use Motives, Trauma, and Stress Among College-Based Polysubstance Users. | Jaume-Feliciosi N et al. | β | 2024 | β |
| The collaborative study on the genetics of alcoholism: Sample and clinical data. | Dick DM et al. | β | 2023 | β |
| The Concept of Resistance to Substance Use and a Research Approach: The Resist! Project. | Vanyukov MM et al. | β | 2023 | β |
| A Gateway That Never Was. | Vanyukov MM | β | 2022 | β |
| The addiction risk factor: A unitary genetic vulnerability characterizes substance use disorders and their associations with common correlates. | Hatoum AS et al. | β | 2022 | β |
| Cigarette Smoking Behavior a Gateway to Opium Use Disorder: A Mendelian Randomization Analysis. | Rajabi A et al. | β | 2021 | β |
| Multi-Polygenic Analysis of Nicotine Dependence in Individuals of European Ancestry. | Risner VA et al. | β | 2021 | β |
| Novel insights into the common heritable liability to addiction: a multivariate genome-wide association study | Schoeler T et al. | β | 2021 | β |
| The Etiologic, Theory-Based, Ontogenetic Hierarchical Framework of Alcohol Use Disorder: A Translational Systematic Review of Reviews. | Boness CL et al. | β | 2021 | β |
| Traditional risk and cultural protection: Correlates of alcohol and cannabis co-use among African-American adolescents. | Banks DE et al. | β | 2021 | β |
| Revisiting the Association Between "Gateway Hypothesis" of Early Drug Use and Drug Use Progression: A Cohort Analysis of Peer Influences on Drug Use Progression Among a Population Cohort. | Nkansah-Amankra S | β | 2020 | β |
| The Relationship Between Tobacco and Cannabis Use: A Review. | Lemyre A et al. | β | 2019 | β |
| Dissociable psychosocial profiles of adolescent substance users. | Fitzgerald A et al. | β | 2018 | β |
| Drug use among youth: National survey data support a common liability of all drug use. | DuPont RL et al. | β | 2018 | β |
| Investigating causal associations between use of nicotine, alcohol, caffeine and cannabis: a two-sample bidirectional Mendelian randomization study. | Verweij KJH et al. | β | 2018 | β |
| Prevalence of Nonmedical Use of Prescription Opioids and Association With Co-occurring Substance Use Disorders Among Adolescents in Substance Use Treatment. | Al-Tayyib A et al. | β | 2018 | β |
| 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. | Waaktaar T et al. | β | 2018 | β |
| The utility of twins in developmental cognitive neuroscience research: How twins strengthen the ABCD research design. | Iacono WG et al. | β | 2018 | β |
| Age of initiation and substance use progression: A multivariate latent growth analysis. | Richmond-Rakerd LS et al. | β | 2017 | β |
| Association of the PLCB1 gene with drug dependence. | Cabana-DomΓnguez J et al. | β | 2017 | β |
| Chronic Nicotine Exposure Initiated in Adolescence and Unpaired to Behavioral Context Fails to Enhance Sweetened Ethanol Seeking. | Madayag AC et al. | β | 2017 | β |
| Developmentally Specific Associations Between CNR1 Genotype and Cannabis Use Across Emerging Adulthood. | Ashenhurst JR et al. | β | 2017 | β |
| Genetics of alcohol consumption in Drosophila melanogaster. | Fochler S et al. | β | 2017 | β |
| Genetic variation in the exome: Associations with alcohol and tobacco co-use. | Otto JM et al. | β | 2017 | β |
| Mechanisms and genetic factors underlying co-use of nicotine and alcohol or other drugs of abuse. | Cross SJ et al. | β | 2017 | β |
| The genetic epidemiology of substance use disorder: A review. | Prom-Wormley EC et al. | β | 2017 | β |
| Age at first use and later substance use disorder: Shared genetic and environmental pathways for nicotine, alcohol, and cannabis. | Richmond-Rakerd LS et al. | β | 2016 | β |
| Alcohol-related genes show an enrichment of associations with a persistent externalizing factor. | Ashenhurst JR et al. | β | 2016 | β |
| Evidence of Shared Genome-Wide Additive Genetic Effects on Interpersonal Trauma Exposure and Generalized Vulnerability to Drug Dependence in a Population of Substance Users. | Palmer RH et al. | β | 2016 | β |
| Genome-wide significant loci for addiction and anxiety. | Hodgson K et al. | β | 2016 | β |
| Item Response Theory Analysis to Assess Dimensionality of Substance Use Disorder Abuse and Dependence Symptoms. | Kirisci L et al. | β | 2016 | β |
| Nicotinic acetylcholine receptors: upregulation, age-related effects and associations with drug use. | Melroy-Greif WE et al. | β | 2016 | β |
| Psychometric modeling of abuse and dependence symptoms across six illicit substances indicates novel dimensions of misuse. | Clark SL et al. | β | 2016 | β |
| Vaping as a Catalyst for Smoking? An Initial Model on the Initiation of Electronic Cigarette Use and the Transition to Tobacco Smoking Among Adolescents. | Schneider S et al. | β | 2016 | β |
| Association of substance dependence phenotypes in the COGA sample. | Wetherill L et al. | β | 2015 | β |
| Examining the role of common genetic variants on alcohol, tobacco, cannabis and illicit drug dependence: genetics of vulnerability to drug dependence. | Palmer RH et al. | β | 2015 | β |
| Genetic relationship between the addiction diagnosis in adults and their childhood measure of addiction liability. | Vanyukov M et al. | β | 2015 | β |
| Shared additive genetic influences on DSM-IV criteria for alcohol dependence in subjects of European ancestry. | Palmer RH et al. | β | 2015 | β |
| The Gateway Hypothesis of substance abuse: developmental, biological and societal perspectives. | Kandel D et al. | β | 2015 | β |
| Early adolescent patterns of alcohol, cigarettes, and marijuana polysubstance use and young adult substance use outcomes in a nationally representative sample. | Moss HB et al. | β | 2014 | β |
| Mpdz expression in the caudolateral substantia nigra pars reticulata is crucially involved in alcohol withdrawal. | Kruse LC et al. | β | 2014 | β |
| Pleiotrophin differentially regulates the rewarding and sedative effects of ethanol. | Vicente-RodrΓguez M et al. | β | 2014 | β |
| Toward a comprehensive developmental model of smoking initiation and nicotine dependence. | GarcΓa-RodrΓguez O et al. | β | 2014 | β |
| Convergent functional genomics in addiction research - a translational approach to study candidate genes and gene networks. | Spanagel R | β | 2013 | β |
| Defining psychosis: the evolution of DSM-5 schizophrenia spectrum disorders. | Bhati MT | β | 2013 | β |
| Stability and change of genetic and environmental effects on the common liability to alcohol, tobacco, and cannabis DSM-IV dependence symptoms. | Palmer RH et al. | β | 2013 | β |
| The genetics of alcohol dependence. | Rietschel M et al. | β | 2013 | β |
| Substance-specific symptoms and general liability to addiction. | Vanyukov MM | β | 2012 | β |
| The genetics of alcohol dependence: advancing towards systems-based approaches. | Palmer RH et al. | β | 2012 | β |