Multivariate assessment of factors influencing illicit substance use in twins from female-female pairs.
- Authors
- Karkowski, L M; Prescott, C A; Kendler, K S
- Year
- 2000
- Journal
- American journal of medical genetics
- PMID
- 11054775
Although familial factors have been shown to influence drug use, abuse, and dependence, little is known about the common and specific factors that influence polysubstance use and misuse. Our objective was to assess whether there are genetic and environmental factors specific to each substance or whether there are factors that predispose an individual to use of illicit substances in general. Twins from female-female pairs from the Virginia Twin Registry were interviewed by phone to assess lifetime nonmedical use of cannabis, sedatives, stimulants, cocaine, opiates, and hallucinogens. Multivariate, biometrical model-fitting was applied to the data using the Mx computer package. In the best-fitting model, use of all classes of drugs was influenced by a single general genetic factor (common to all substances) and a general familial environmental factor. The magnitude of influence of the general genetic factor ranged from 3% of the variance for opiates to 59% of the variance for cannabis. Some differences were seen from the univariate results, indicating some of the parameter estimates were unstable due to small numbers of concordant pairs. However, generalizations could be made. In women, the substances examined share genetic and familial environmental factors which contribute to the vulnerability to use. Degree of influence of the factors differs for the substances examined. However, no specific genetic or familial environmental factors were found to contribute significantly to use of any of the illicit substances.
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| Differential etiologic associations of heroin use and prescription opioid misuse with psychopathology. | Dash GF et al. | β | 2024 | β |
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| Specificity in genetic and environmental risk for prescription opioid misuse and heroin use. | Dash GF 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 |
| Are prescription misuse and illicit drug use etiologically distinct? A genetically-informed analysis of opioids and stimulants. | Dash GF et al. | β | 2022 | β |
| Contextualizing prescription opioid misuse and heroin use within dimensional models of drug involvement. | Dash GF et al. | β | 2022 | β |
| FOXN3 and GDNF Polymorphisms as Common Genetic Factors of Substance Use and Addictive Behaviors. | Vereczkei A et al. | β | 2022 | β |
| Prospects for finding the mechanisms of sex differences in addiction with human and model organism genetic analysis. | Datta U et al. | β | 2020 | β |
| Characterization of DSM-IV Opioid Dependence Among Individuals of European Ancestry. | Brick LA et al. | β | 2019 | β |
| Transgenerational influence of parental morphine exposure on pain perception, anxiety-like behavior and passive avoidance memory among male and female offspring of Wistar rats. | Ahmadian-Moghadam H et al. | β | 2019 | β |
| The Genetic Relationship Between Psychological Distress, Somatic Distress, Affective Disorders, and Substance Use in Young Australian Adults: A Multivariate Twin Study. | Chang LH et al. | β | 2018 | β |
| Heritability of lifetime ecstasy use. | Verweij KJH 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 |
| Linking neuroscience with modern concepts of impulse control disorders in Parkinson's disease. | Napier TC et al. | β | 2015 | β |
| Parent-child conflict and drug use in college women: a moderated mediation model of self-control and mindfulness. | Tarantino N et al. | β | 2015 | β |
| X Chromosome Inactivation in Opioid Addicted Women. | Vousooghi N et al. | β | 2015 | β |
| DRD3 variation associates with early-onset heroin dependence, but not specific personality traits. | Kuo SC et al. | β | 2014 | β |
| Have the genetics of cannabis involvement gone to pot? | Agrawal A et al. | β | 2014 | β |
| The role of the habenula in drug addiction. | Velasquez KM et al. | β | 2014 | β |
| ANKK1, TTC12, and NCAM1 polymorphisms and heroin dependence: importance of considering drug exposure. | Nelson EC et al. | β | 2013 | β |
| Case-control association analysis of polymorphisms in the Ξ΄-opioid receptor, OPRD1, with cocaine and opioid addicted populations. | Crist RC et al. | β | 2013 | β |
| Case-control association study of WLS variants in opioid and cocaine addicted populations. | Crist RC et al. | β | 2013 | β |
| Genetics of impulse control disorders in Parkinson's disease. | Cormier F et al. | β | 2013 | β |
| Implications of genome wide association studies for addiction: are our a priori assumptions all wrong? | Hall FS et al. | β | 2013 | β |
| Positive association between--1021TT genotype of dopamine beta hydroxylase gene and progressive behavior of injection heroin users. | Xie X et al. | β | 2013 | β |
| Substance-specific environmental influences on drug use and drug preference in animals and humans. | Badiani A | β | 2013 | β |
| A common genetic network underlies substance use disorders and disruptive or externalizing disorders. | Arcos-Burgos M et al. | β | 2012 | β |
| Association study of the Ξ²-arrestin 2 gene (ARRB2) with opioid and cocaine dependence in a European-American population. | Ambrose-Lanci LM et al. | β | 2012 | β |
| Gambling, disordered gambling and their association with major depression and substance use: a web-based cohort and twin-sibling study. | Blanco C et al. | β | 2012 | β |
| How do gamblers start gambling: identifying behavioural markers for high-risk internet gambling. | Braverman J et al. | β | 2012 | β |
| Genomic regions identified by overlapping clusters of nominally-positive SNPs from genome-wide studies of alcohol and illegal substance dependence. | Johnson C et al. | β | 2011 | β |
| "Replicated" genome wide association for dependence on illegal substances: genomic regions identified by overlapping clusters of nominally positive SNPs. | Drgon T et al. | β | 2011 | β |
| Association of functional variants in the dopamine D2-like receptors with risk for gambling behaviour in healthy Caucasian subjects. | Lobo DS et al. | β | 2010 | β |
| Genetically informative research on adolescent substance use: methods, findings, and challenges. | Lynskey MT et al. | β | 2010 | β |
| Genetic and environmental influences on cannabis use initiation and problematic use: a meta-analysis of twin studies. | Verweij KJ et al. | β | 2010 | β |
| Genome wide association for addiction: replicated results and comparisons of two analytic approaches. | Drgon T et al. | β | 2010 | β |
| Genome-wide association for smoking cessation success: participants in the Patch in Practice trial of nicotine replacement. | Uhl GR et al. | β | 2010 | β |
| Variation in nicotinic acetylcholine receptor genes is associated with multiple substance dependence phenotypes. | Sherva R et al. | β | 2010 | β |
| Addiction genetics and pleiotropic effects of common haplotypes that make polygenic contributions to vulnerability to substance dependence. | Uhl GR et al. | β | 2009 | β |
| Candidate genes for cannabis use disorders: findings, challenges and directions. | Agrawal A et al. | β | 2009 | β |
| Genome-wide association for nicotine dependence and smoking cessation success in NIH research volunteers. | Drgon T et al. | β | 2009 | β |
| Genome-wide association for smoking cessation success: participants in a trial with adjunctive denicotinized cigarettes. | Drgon T et al. | β | 2009 | β |
| Nicotine abstinence genotyping: assessing the impact on smoking cessation clinical trials. | Uhl GR et al. | β | 2009 | β |
| Smoking and smoking cessation in disadvantaged women: assessing genetic contributions. | Uhl GR et al. | β | 2009 | β |
| Addiction Reviews. Preface. | Uhl GR | β | 2008 | β |
| Addiction science and its genetics. | Ball D | β | 2008 | β |
| Association of candidate genes with antisocial drug dependence in adolescents. | Corley RP et al. | β | 2008 | β |
| Behavioral disinhibition and the development of early-onset addiction: common and specific influences. | Iacono WG et al. | β | 2008 | β |
| Genetic and environmental contributions to the diversity of substances used in adolescent twins: a longitudinal study of age and sex effects. | Derringer J et al. | β | 2008 | β |
| Genome wide association for substance dependence: convergent results from epidemiologic and research volunteer samples. | Johnson C et al. | β | 2008 | β |
| Genome-wide linkage analysis of heroin dependence in Han Chinese: results from Wave Two of a multi-stage study. | Glatt SJ et al. | β | 2008 | β |
| "Higher order" addiction molecular genetics: convergent data from genome-wide association in humans and mice. | Uhl GR et al. | β | 2008 | β |
| Measured environmental contributions to cannabis abuse/dependence in an offspring of twins design. | Scherrer JF et al. | β | 2008 | β |
| Molecular genetics of addiction and related heritable phenotypes: genome-wide association approaches identify "connectivity constellation" and drug target genes with pleiotropic effects. | Uhl GR et al. | β | 2008 | β |
| Molecular genetics of successful smoking cessation: convergent genome-wide association study results. | Uhl GR et al. | β | 2008 | β |
| Neurobiology of addiction. An integrative review. | Goodman A | β | 2008 | β |
| Reduced behavioral and neural activation in stimulant users to different error rates during decision making. | Paulus MP et al. | β | 2008 | β |
| Substance dependence low-density whole genome association study in two distinct American populations. | Yu Y et al. | β | 2008 | β |
| The effect of cannabis on the brain: can it cause brain anomalies that lead to increased risk for schizophrenia? | DeLisi LE | β | 2008 | β |
| Allelic and genotypic associations of DRD2 TaqI A polymorphism with heroin dependence in Spanish subjects: a case control study. | Perez de los Cobos J et al. | β | 2007 | β |
| CNR1 variation modulates risk for drug and alcohol dependence. | Zuo L et al. | β | 2007 | β |
| Drug addiction: pathways to the disease and pathophysiological perspectives. | Le Moal M et al. | β | 2007 | β |
| Genomewide suggestive linkage of opioid dependence to chromosome 14q. | Lachman HM et al. | β | 2007 | β |
| Molecular genetics of nicotine dependence and abstinence: whole genome association using 520,000 SNPs. | Uhl GR et al. | β | 2007 | β |
| Variation in a bicarbonate co-transporter gene family member SLC4A7 is associated with propensity to addictions: a study using fine-mapping and three samples. | Ishiguro H et al. | β | 2007 | β |
| Addiction molecular genetics: 639,401 SNP whole genome association identifies many "cell adhesion" genes. | Liu QR et al. | β | 2006 | β |
| Association of GABRA2 with drug dependence in the collaborative study of the genetics of alcoholism sample. | Agrawal A et al. | β | 2006 | β |
| Genetic and environmental vulnerabilities underlying adolescent substance use and problem use: general or specific? | Young SE et al. | β | 2006 | β |
| Genome-wide linkage analysis of heroin dependence in Han Chinese: results from wave one of a multi-stage study. | Glatt SJ et al. | β | 2006 | β |
| Genomewide linkage scan for opioid dependence and related traits. | Gelernter J et al. | β | 2006 | β |
| NrCAM in addiction vulnerability: positional cloning, drug-regulation, haplotype-specific expression, and altered drug reward in knockout mice. | Ishiguro H et al. | β | 2006 | β |
| Pooled association genome scanning for alcohol dependence using 104,268 SNPs: validation and use to identify alcoholism vulnerability loci in unrelated individuals from the collaborative study on the genetics of alcoholism. | Johnson C et al. | β | 2006 | β |
| The developmental behavior genetics of drug involvement: overview and comments. | Zucker RA | β | 2006 | β |
| The genetic epidemiology of cannabis use, abuse and dependence. | Agrawal A et al. | β | 2006 | β |
| Combining research approaches to advance our understanding of drug addiction. | van den Bree MB | β | 2005 | β |
| Genetic influences in emotional dysfunction and alcoholism-related brain damage. | Oscar-Berman M et al. | β | 2005 | β |
| Pooled association genome scanning: validation and use to identify addiction vulnerability loci in two samples. | Liu QR et al. | β | 2005 | β |
| Cannabis and other illicit drugs: comorbid use and abuse/dependence in males and females. | Agrawal A et al. | β | 2004 | β |
| Toward a syndrome model of addiction: multiple expressions, common etiology. | Shaffer HJ et al. | β | 2004 | β |
| Gender differences in treatment-seeking Brazilian drug-dependent individuals. | Zilberman ML et al. | β | 2003 | β |
| Genetic variation in the psychomotor stimulant properties of cocaine in Mus musculus. | Downing C et al. | β | 2003 | β |
| Liability to substance use disorders: 1. Common mechanisms and manifestations. | Vanyukov MM et al. | β | 2003 | β |
| Specificity of genetic and environmental risk factors for use and abuse/dependence of cannabis, cocaine, hallucinogens, sedatives, stimulants, and opiates in male twins. | Kendler KS et al. | β | 2003 | β |
| Item response theory modeling of substance use: an index based on 10 drug categories. | Kirisci L et al. | β | 2002 | β |
| Sex differences in shared genetic and environmental influences between conduct disorder symptoms and marijuana use in adolescents. | Miles DR et al. | β | 2002 | β |
| Substance abuse vulnerability loci: converging genome scanning data. | Uhl GR et al. | β | 2002 | β |
| Polysubstance abuse-vulnerability genes: genome scans for association, using 1,004 subjects and 1,494 single-nucleotide polymorphisms. | Uhl GR et al. | β | 2001 | β |