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Miller AP, Bogdan R, Agrawal A, Hatoum AS. Generalized genetic liability to substance use disorders. J Clin Invest 2024; 134:e172881. [PMID: 38828723 PMCID: PMC11142744 DOI: 10.1172/jci172881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/05/2024] Open
Abstract
Lifetime and temporal co-occurrence of substance use disorders (SUDs) is common and compared with individual SUDs is characterized by greater severity, additional psychiatric comorbidities, and worse outcomes. Here, we review evidence for the role of generalized genetic liability to various SUDs. Coaggregation of SUDs has familial contributions, with twin studies suggesting a strong contribution of additive genetic influences undergirding use disorders for a variety of substances (including alcohol, nicotine, cannabis, and others). GWAS have documented similarly large genetic correlations between alcohol, cannabis, and opioid use disorders. Extending these findings, recent studies have identified multiple genomic loci that contribute to common risk for these SUDs and problematic tobacco use, implicating dopaminergic regulatory and neuronal development mechanisms in the pathophysiology of generalized SUD genetic liability, with certain signals demonstrating cross-species and translational validity. Overlap with genetic signals for other externalizing behaviors, while substantial, does not explain the entirety of the generalized genetic signal for SUD. Polygenic scores (PGS) derived from the generalized genetic liability to SUDs outperform PGS for individual SUDs in prediction of serious mental health and medical comorbidities. Going forward, it will be important to further elucidate the etiology of generalized SUD genetic liability by incorporating additional SUDs, evaluating clinical presentation across the lifespan, and increasing the granularity of investigation (e.g., specific transdiagnostic criteria) to ultimately improve the nosology, prevention, and treatment of SUDs.
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Affiliation(s)
| | - Ryan Bogdan
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, Missouri, USA
| | | | - Alexander S. Hatoum
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, Missouri, USA
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Sheerin CM, O’Hara-Payne RK, Lancaster EE, Suarez-Rivas H, Chatzinakos C, Prom-Wormley EC, Peterson RE. Examining interactions between polygenic scores and interpersonal trauma exposure on alcohol consumption and use disorder in an ancestrally diverse college cohort. Front Genet 2024; 14:1274381. [PMID: 38361984 PMCID: PMC10868390 DOI: 10.3389/fgene.2023.1274381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 11/22/2023] [Indexed: 02/17/2024] Open
Abstract
Introduction: Genetic factors impact alcohol consumption and use disorder (AUD), with large-scale genome-wide association studies (GWAS) identifying numerous associated variants. Aggregate genetic methods in combination with important environmental factors (e.g., interpersonal trauma [IPT]) can be applied to expand our understanding of the ways by which genetic and environmental variables work together to influence alcohol consumption and disordered use. The present study aimed to detail the relationships between genome-wide polygenic scores (PGS) for alcohol phenotypes (i.e., alcohol consumption and AUD status) and IPT exposure as well as the interaction between them across ancestry. Methods: Data were drawn from the Spit for Science (S4S) study, a US college student population, where participants reported on IPT exposure prior to college and alcohol consumption and problems during college (N = 9,006; ancestry: 21.3% African [AFR], 12.5% Admixed Americas [AMR], 9.6% East Asian [EAS], 48.1% European [EUR], 8.6% South Asian [SAS]). Two trans-ancestry PGS were constructed, one for alcohol consumption and another for AUD, using large-scale GWAS summary statistics from multiple ancestries weighted using PRS-CSx. Regression models were applied to test for the presence of associations between alcohol-PGS and IPT main and interaction effects. Results: In the meta-analysis across ancestry groups, IPT exposure and PGS were significantly associated with alcohol consumption (βIPT = 0.31, P IPT = 0.0002; βPGS = 0.09, P PGS = 0.004) and AUD (ORIPT = 1.12, P IPT = 3.5 × 10-8; ORPGS = 1.02, P PGS = 0.002). No statistically significant interactions were detected between IPT and sex nor between IPT and PGS. When inspecting ancestry specific results, the alcohol consumption-PGS and AUD-PGS were only statistically significant in the EUR ancestry group (βPGS = 0.09, P PGS = 0.04; ORPGS = 1.02, P PGS = 0.022, respectively). Discussion: IPT exposure prior to college was strongly associated with alcohol outcomes in this college-age sample, which could be used as a preventative measure to identify students at high risk for problematic alcohol use. Additionally, results add to developing evidence of polygenic score association in meta-analyzed samples, highlighting the importance of continued efforts to increase ancestral representation in genetic studies and inclusive analytic approaches to increase the generalizability of results from genetic association studies.
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Affiliation(s)
- Christina M. Sheerin
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, United States
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, United States
| | - Rowan K. O’Hara-Payne
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, United States
- Center for Biological Data Science, Virginia Commonwealth University, Richmond, VA, United States
| | - Eva E. Lancaster
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, United States
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, United States
| | - Hailie Suarez-Rivas
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, United States
| | - Chris Chatzinakos
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, United States
- Institute for Genomics in Health, SUNY Downstate Health Sciences University, Brooklyn, NY, United States
| | - Elizabeth C. Prom-Wormley
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, United States
- Department of Epidemiology, Virginia Commonwealth University, Richmond, VA, United States
| | - Roseann E. Peterson
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, United States
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, United States
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, United States
- Institute for Genomics in Health, SUNY Downstate Health Sciences University, Brooklyn, NY, United States
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Mulholland PJ, Berto S, Wilmarth PA, McMahan C, Ball LE, Woodward JJ. Adaptor protein complex 2 in the orbitofrontal cortex predicts alcohol use disorder. Mol Psychiatry 2023; 28:4766-4776. [PMID: 37679472 PMCID: PMC10918038 DOI: 10.1038/s41380-023-02236-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 08/17/2023] [Accepted: 08/23/2023] [Indexed: 09/09/2023]
Abstract
Alcohol use disorder (AUD) is a life-threatening disease characterized by compulsive drinking, cognitive deficits, and social impairment that continue despite negative consequences. The inability of individuals with AUD to regulate drinking may involve functional deficits in cortical areas that normally balance actions that have aspects of both reward and risk. Among these, the orbitofrontal cortex (OFC) is critically involved in goal-directed behavior and is thought to maintain a representation of reward value that guides decision making. In the present study, we analyzed post-mortem OFC brain samples collected from age- and sex-matched control subjects and those with AUD using proteomics, bioinformatics, machine learning, and reverse genetics approaches. Of the 4,500+ total unique proteins identified in the proteomics screen, there were 47 proteins that differed significantly by sex that were enriched in processes regulating extracellular matrix and axonal structure. Gene ontology enrichment analysis revealed that proteins differentially expressed in AUD cases were involved in synaptic and mitochondrial function, as well as transmembrane transporter activity. Alcohol-sensitive OFC proteins also mapped to abnormal social behaviors and social interactions. Machine learning analysis of the post-mortem OFC proteome revealed dysregulation of presynaptic (e.g., AP2A1) and mitochondrial proteins that predicted the occurrence and severity of AUD. Using a reverse genetics approach to validate a target protein, we found that prefrontal Ap2a1 expression significantly correlated with voluntary alcohol drinking in male and female genetically diverse mouse strains. Moreover, recombinant inbred strains that inherited the C57BL/6J allele at the Ap2a1 interval consumed higher amounts of alcohol than those that inherited the DBA/2J allele. Together, these findings highlight the impact of excessive alcohol consumption on the human OFC proteome and identify important cross-species cortical mechanisms and proteins that control drinking in individuals with AUD.
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Affiliation(s)
- Patrick J Mulholland
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC, 29425, USA.
- Charleston Alcohol Research Center, Medical University of South Carolina, Charleston, SC, 29425, USA.
| | - Stefano Berto
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Phillip A Wilmarth
- Proteomics Shared Resource, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239, USA
| | - Christopher McMahan
- School of Mathematical and Statistical Sciences, Clemson-MUSC Artificial Intelligence Hub, Clemson University, Clemson, SC, 29634-0975, USA
| | - Lauren E Ball
- Cell and Molecular Pharmacology and Experimental Therapeutics, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - John J Woodward
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC, 29425, USA
- Charleston Alcohol Research Center, Medical University of South Carolina, Charleston, SC, 29425, USA
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Mulholland PJ, Berto S, Wilmarth PA, McMahan C, Ball LE, Woodward JJ. Adaptor protein complex 2 in the orbitofrontal cortex predicts alcohol use disorder. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.28.542637. [PMID: 37398482 PMCID: PMC10312445 DOI: 10.1101/2023.05.28.542637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Alcohol use disorder (AUD) is a life-threatening disease characterized by compulsive drinking, cognitive deficits, and social impairment that continue despite negative consequences. The inability of individuals with AUD to regulate drinking may involve functional deficits in cortical areas that normally balance actions that have aspects of both reward and risk. Among these, the orbitofrontal cortex (OFC) is critically involved in goal-directed behavior and is thought to maintain a representation of reward value that guides decision making. In the present study, we analyzed post-mortem OFC brain samples collected from age- and sex-matched control subjects and those with AUD using proteomics, bioinformatics, machine learning, and reverse genetics approaches. Of the 4,500+ total unique proteins identified in the proteomics screen, there were 47 proteins that differed significantly by sex that were enriched in processes regulating extracellular matrix and axonal structure. Gene ontology enrichment analysis revealed that proteins differentially expressed in AUD cases were involved in synaptic and mitochondrial function, as well as transmembrane transporter activity. Alcohol-sensitive OFC proteins also mapped to abnormal social behaviors and social interactions. Machine learning analysis of the post-mortem OFC proteome revealed dysregulation of presynaptic (e.g., AP2A1) and mitochondrial proteins that predicted the occurrence and severity of AUD. Using a reverse genetics approach to validate a target protein, we found that prefrontal Ap2a1 expression significantly correlated with voluntary alcohol drinking in male and female genetically diverse mouse strains. Moreover, recombinant inbred strains that inherited the C57BL/6J allele at the Ap2a1 interval consumed higher amounts of alcohol than those that inherited the DBA/2J allele. Together, these findings highlight the impact of excessive alcohol consumption on the human OFC proteome and identify important cross-species cortical mechanisms and proteins that control drinking in individuals with AUD.
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Stephenson M, Heron J, Bountress K, Hickman M, Kendler KS, Edwards AC. The effect of parental alcohol use on alcohol use disorder in young adulthood: Exploring the mediating roles of adolescent alcohol expectancies and consumption. J Adolesc 2023; 95:716-728. [PMID: 36751135 PMCID: PMC10257746 DOI: 10.1002/jad.12148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 01/21/2023] [Accepted: 01/23/2023] [Indexed: 02/09/2023]
Abstract
INTRODUCTION Parental alcohol use and problems are risk factors for alcohol use disorder (AUD), and these effects may be mediated by adolescent alcohol expectancies and consumption. In the present study, we tested the direct effects of mothers' and fathers' alcohol consumption on young adult AUD, as well as the indirect effects through adolescent maximum alcohol use, alcohol consumption, and alcohol expectancies. METHODS Participants were 5160 individuals (49.1% female) and their biological parents from the Avon Longitudinal Study of Parents and Children, a cohort study of children born in southwestern England during 1991 and 1992. Structural equation modeling (SEM) was used to test associations of mothers' and fathers' alcohol use (assessed when children were 12 years old) with age 24 AUD. Potential mediator variables included the maximum number of alcoholic drinks consumed within a 24-h period by age 13.5 and alcohol expectancies and alcohol consumption at ages 17 and 20. RESULTS Higher maternal and paternal alcohol use were associated with higher levels of alcohol consumption at age 17. Greater alcohol consumption, in turn, was related to a more severe presentation of AUD. The overall indirect effects of mothers' (b = 0.033, 95% confidence interval [CI] = 0.006, 0.059) and fathers' drinking (b = 0.041, 95% CI = 0.018, 0.064) on AUD were modest but significant, and were primarily comprised of adolescent alcohol consumption rather than alcohol expectancies. CONCLUSIONS Our findings underscore the importance of both mothers' and fathers' drinking for the development of alcohol use and problems across adolescence and young adulthood.
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Affiliation(s)
- Mallory Stephenson
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University
| | - Jon Heron
- Population Health Sciences, Bristol Medical School, University of Bristol
| | - Kaitlin Bountress
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University
- Department of Psychiatry, School of Medicine, Virginia Commonwealth University
| | - Matthew Hickman
- Population Health Sciences, Bristol Medical School, University of Bristol
- MRC Integrative Epidemiology Unit (IEU), University of Bristol
| | - Kenneth S. Kendler
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University
- Department of Psychiatry, School of Medicine, Virginia Commonwealth University
| | - Alexis C. Edwards
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University
- Department of Psychiatry, School of Medicine, Virginia Commonwealth University
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Saunders GRB, McGue M, Iacono WG, Vrieze S. Longitudinal effects and environmental moderation of ALDH2 and ADH1B gene variants on substance use from age 14 to 40. Dev Psychopathol 2022; 34:1-9. [PMID: 36102130 PMCID: PMC10011021 DOI: 10.1017/s0954579422000712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Alcohol use and dependence are strongly affected by variation in aldehyde dehydrogenase (ALDH2) and, to a lesser extent, alcohol dehydrogenase (ADH1B) genes. We use this genetic variation with an adoption design to test the causal role of alcohol use on other drug use, as well as the moderating role of adoptive parent, sibling, and peer alcohol use. Longitudinal models were run on 412 genotyped adopted individuals of East Asian ancestry with multiple assessments between ages 14 and 40. We found robust associations between alcohol frequency, quantity, and maximum drinks and ALDH2, but not ADH1B, status. The magnitude of the ALDH2 protective effect increased with age, particularly for maximum drinks, though estimates were smaller than previously reported in ancestrally similar individuals in East/North-East Asian countries. These results suggest that sociocultural factors in Minnesota may reduce the protective effects of ALDH2. We found that peer alcohol use, but not parent or sibling use, predicted adopted offspring's use, and that these environmental influences did not vary by ALDH2 status. Finally, we did not find strong evidence of associations between ALDH2 status and tobacco, marijuana, or illegal drug use, contrary to expectation if alcohol serves as a gateway to use of other drugs.
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Affiliation(s)
| | - Matt McGue
- Department of Psychology, University of Minnesota, Minneapolis, MN55455, USA
| | - William G Iacono
- Department of Psychology, University of Minnesota, Minneapolis, MN55455, USA
| | - Scott Vrieze
- Department of Psychology, University of Minnesota, Minneapolis, MN55455, USA
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Corongiu S, Dessì C, Espa E, Pisanu A, Pinna A, Lecca D, Fenu S, Cadoni C. Influence of Age and Genetic Background on Ethanol Intake and Behavioral Response Following Ethanol Consumption and During Abstinence in a Model of Alcohol Abuse. Front Behav Neurosci 2022; 16:858940. [PMID: 35418842 PMCID: PMC8996132 DOI: 10.3389/fnbeh.2022.858940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 02/25/2022] [Indexed: 11/13/2022] Open
Abstract
Genetic background and age at first exposure have been identified as critical variables that contribute to individual vulnerability to drug addiction. Evidence shows that genetic factors may account for 40–70% of the variance in liability to addiction. Alcohol consumption by young people, especially in the form of binge-drinking, is becoming an alarming phenomenon predictive of future problems with drinking. Thus, the literature indicates the need to better understand the influence of age and genetic background on the development of alcohol dependence. To this aim, the inbred rat strains Lewis (LEW, addiction prone) and Fischer 344 (F344, addiction resistant) were used as a model of genetic vulnerability to addiction and compared with the outbred strain Sprague-Dawley (SD) in a two-bottle choice paradigm as a model of alcohol abuse. During a 9-week period, adolescent and adult male rats of the three strains were intermittently exposed to ethanol (20%) and water during three 24-h sessions/week. Adult and adolescent SD and LEW rats escalated their alcohol intake over time reaching at stable levels, while F344 rats did not escalate their intake, regardless of age at drinking onset. Among adolescents, only F344 rats consumed a higher total amount of ethanol than adults, although only SD and LEW rats escalated their intake. Adult LEW rats, albeit having a lower ethanol consumption as compared to SD rats but greater than F344, showed a more compulsive intake, consuming higher amounts of ethanol during the first hour of exposure, reaching a higher degree of ethanol preference when start drinking as adolescents. Behavioral analysis during the first hour of ethanol consumption revealed significant strain differences, among which noticeable the lack of sedative effect in the LEW strain, at variance with F344 and SD strains, and highest indices of withdrawal (most notable jumping) in LEW rats during the first hour of abstinence days. The present results underscore the importance of individual genetic background and early onset of alcohol use in the progression toward abuse and development of alcohol addiction.
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Affiliation(s)
- Silvia Corongiu
- Neuropsychopharmacology Section, Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
| | - Christian Dessì
- Department of Biomedical Sciences, Institute of Neuroscience, National Research Council of Italy, Cagliari, Italy
| | - Elena Espa
- Neuropsychopharmacology Section, Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
| | - Augusta Pisanu
- Department of Biomedical Sciences, Institute of Neuroscience, National Research Council of Italy, Cagliari, Italy
| | - Annalisa Pinna
- Department of Biomedical Sciences, Institute of Neuroscience, National Research Council of Italy, Cagliari, Italy
| | - Daniele Lecca
- Neuropsychopharmacology Section, Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
| | - Sandro Fenu
- Neuropsychopharmacology Section, Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
| | - Cristina Cadoni
- Department of Biomedical Sciences, Institute of Neuroscience, National Research Council of Italy, Cagliari, Italy
- *Correspondence: Cristina Cadoni, ,
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Lusk R, Hoffman PL, Mahaffey S, Rosean S, Smith H, Silhavy J, Pravenec M, Tabakoff B, Saba LM. Beyond Genes: Inclusion of Alternative Splicing and Alternative Polyadenylation to Assess the Genetic Architecture of Predisposition to Voluntary Alcohol Consumption in Brain of the HXB/BXH Recombinant Inbred Rat Panel. Front Genet 2022; 13:821026. [PMID: 35368676 PMCID: PMC8965255 DOI: 10.3389/fgene.2022.821026] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 02/10/2022] [Indexed: 12/02/2022] Open
Abstract
Post transcriptional modifications of RNA are powerful mechanisms by which eukaryotes expand their genetic diversity. For instance, researchers estimate that most transcripts in humans undergo alternative splicing and alternative polyadenylation. These splicing events produce distinct RNA molecules, which in turn yield distinct protein isoforms and/or influence RNA stability, translation, nuclear export, and RNA/protein cellular localization. Due to their pervasiveness and impact, we hypothesized that alternative splicing and alternative polyadenylation in brain can contribute to a predisposition for voluntary alcohol consumption. Using the HXB/BXH recombinant inbred rat panel (a subset of the Hybrid Rat Diversity Panel), we generated over one terabyte of brain RNA sequencing data (total RNA) and identified novel splice variants (via StringTie) and alternative polyadenylation sites (via aptardi) to determine the transcriptional landscape in the brains of these animals. After establishing an analysis pipeline to ascertain high quality transcripts, we quantitated transcripts and integrated genotype data to identify candidate transcript coexpression networks and individual candidate transcripts associated with predisposition to voluntary alcohol consumption in the two-bottle choice paradigm. For genes that were previously associated with this trait (e.g., Lrap, Ift81, and P2rx4) (Saba et al., Febs. J., 282, 3556–3578, Saba et al., Genes. Brain. Behav., 20, e12698), we were able to distinguish between transcript variants to provide further information about the specific isoforms related to the trait. We also identified additional candidate transcripts associated with the trait of voluntary alcohol consumption (i.e., isoforms of Mapkapk5, Aldh1a7, and Map3k7). Consistent with our previous work, our results indicate that transcripts and networks related to inflammation and the immune system in brain can be linked to voluntary alcohol consumption. Overall, we have established a pipeline for including the quantitation of alternative splicing and alternative polyadenylation variants in the transcriptome in the analysis of the relationship between the transcriptome and complex traits.
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Affiliation(s)
- Ryan Lusk
- Department of Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Paula L. Hoffman
- Department of Pharmacology, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Spencer Mahaffey
- Department of Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Samuel Rosean
- Department of Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Harry Smith
- Department of Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Jan Silhavy
- Institute of Physiology of the Czech Academy of Sciences, Prague, Czechia
| | - Michal Pravenec
- Institute of Physiology of the Czech Academy of Sciences, Prague, Czechia
| | - Boris Tabakoff
- Department of Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Laura M. Saba
- Department of Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
- *Correspondence: Laura M. Saba,
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Helle AC, Boness CL, Sher KJ. College students' receptiveness to intervention approaches for alcohol and cannabis use. PSYCHOLOGY OF ADDICTIVE BEHAVIORS 2022; 36:157-176. [PMID: 33749290 PMCID: PMC8455707 DOI: 10.1037/adb0000699] [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] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
OBJECTIVE Addressing high-risk alcohol and cannabis use represent major challenges to institutions of higher education. A range of evidence-based treatment approaches are available, but little is known concerning students' receptiveness to such approaches. Prior work identified that students were most open to individual therapy and self-help options for reducing alcohol use, but less open to medication. The current study examines student receptiveness to intervention approaches across a wider range of intervention approaches (e.g., remote/telehealth), and extends to evaluate cannabis intervention receptiveness. METHOD Undergraduate students reported on alcohol and cannabis use, motives for and reasons against use, and openness to an array of interventions for reducing alcohol and cannabis use. RESULTS Informal options (self-help, talking with family/friends), individual therapy, and appointments with a primary care provider (PCP) were endorsed most frequently. Group therapy and medication were less commonly endorsed, though medication was endorsed at a higher prevalence than in prior studies. Women generally expressed higher receptiveness than men. Lower alcohol consumption was associated with increased receptiveness to some approaches. Students at high risk for alcohol and/or cannabis dependence were less receptive to many treatment options. CONCLUSIONS College students were open to a wide variety of approaches for reducing their alcohol and cannabis use. These results can inform selection, implementation, and availability of campus-wide services, especially as low-cost technological-based approaches are expanding. Further attention to existing services (e.g., PCP) for addressing alcohol and cannabis use may be considered, given students' receptiveness to such approaches. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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Affiliation(s)
- Ashley C. Helle
- University of Missouri, Department of Psychological
Sciences, 200 South 7 Street, Columbia, MO 65211, United State
- Corresponding author:
| | - Cassandra L. Boness
- University of Missouri, Department of Psychological
Sciences, 200 South 7 Street, Columbia, MO 65211, United State
| | - Kenneth J. Sher
- University of Missouri, Department of Psychological
Sciences, 200 South 7 Street, Columbia, MO 65211, United State
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Kapoor M, Chao MJ, Johnson EC, Novikova G, Lai D, Meyers JL, Schulman J, Nurnberger JI, Porjesz B, Liu Y, Foroud T, Edenberg HJ, Marcora E, Agrawal A, Goate A. Multi-omics integration analysis identifies novel genes for alcoholism with potential overlap with neurodegenerative diseases. Nat Commun 2021; 12:5071. [PMID: 34417470 PMCID: PMC8379159 DOI: 10.1038/s41467-021-25392-y] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Accepted: 08/03/2021] [Indexed: 11/27/2022] Open
Abstract
Identification of causal variants and genes underlying genome-wide association study (GWAS) loci is essential to understand the biology of alcohol use disorder (AUD) and drinks per week (DPW). Multi-omics integration approaches have shown potential for fine mapping complex loci to obtain biological insights to disease mechanisms. In this study, we use multi-omics approaches, to fine-map AUD and DPW associations at single SNP resolution to demonstrate that rs56030824 on chromosome 11 significantly reduces SPI1 mRNA expression in myeloid cells and lowers risk for AUD and DPW. Our analysis also identifies MAPT as a candidate causal gene specifically associated with DPW. Genes prioritized in this study show overlap with causal genes associated with neurodegenerative disorders. Multi-omics integration analyses highlight, genetic similarities and differences between alcohol intake and disordered drinking, suggesting molecular heterogeneity that might inform future targeted functional and cross-species studies.
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Affiliation(s)
- Manav Kapoor
- Departments of Genetics and Genomic Sciences and Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Michael J Chao
- Departments of Genetics and Genomic Sciences and Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Emma C Johnson
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Gloriia Novikova
- Departments of Genetics and Genomic Sciences and Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Dongbing Lai
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Jacquelyn L Meyers
- Department of Psychiatry, State University of New York, Downstate Medical Center, Brooklyn, NY, USA
| | - Jessica Schulman
- Departments of Genetics and Genomic Sciences and Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - John I Nurnberger
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Bernice Porjesz
- Department of Psychiatry, State University of New York, Downstate Medical Center, Brooklyn, NY, USA
| | - Yunlong Liu
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Howard J Edenberg
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Edoardo Marcora
- Departments of Genetics and Genomic Sciences and Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Alison Goate
- Departments of Genetics and Genomic Sciences and Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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Boness CL, Loeffelman JE, Steinley D, Trull T, Sher KJ. Using Complete Enumeration to Derive "One-Size-Fits-All" Versus "Subgroup-Specific" Diagnostic Rules for Substance Use Disorder. Assessment 2020; 27:1075-1088. [PMID: 32037845 PMCID: PMC7694888 DOI: 10.1177/1073191120903092] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
The use of fixed diagnostic rules, whereby the same diagnostic algorithms are applied across all individuals regardless of personal attributes, has been the tradition in the Diagnostic and Statistical Manual of Mental Disorders. This practice of "averaging" across individuals inevitably introduces diagnostic error. Furthermore, these average rules are typically derived through expert consensus rather than through data-driven approaches. Utilizing National Survey on Drug Use and Health 2013 (N = 23, 889), we examined whether subgroup-specific, "customized" alcohol use disorder diagnostic rules, derived using deterministic optimization, perform better than an average, "one-size-fits-all" diagnostic rule. The average solution for the full sample included a set size of six and diagnostic threshold of three. Subgroups had widely varying set sizes (M = 6.870; range = 5-10) with less varying thresholds (M = 2.70; range = 2-4). External validation verified that the customized algorithms performed as well, and sometimes better than, the average solution in the prediction of relevant correlates. However, the average solution still performed adequately with respect to external validators.
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Chang LH, Ong JS, An J, Verweij KJH, Vink JM, Pasman J, Liu M, MacGregor S, Cornelis MC, Martin NG, Derks EM. Investigating the genetic and causal relationship between initiation or use of alcohol, caffeine, cannabis and nicotine. Drug Alcohol Depend 2020; 210:107966. [PMID: 32276208 DOI: 10.1016/j.drugalcdep.2020.107966] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Revised: 03/06/2020] [Accepted: 03/12/2020] [Indexed: 11/27/2022]
Abstract
BACKGROUND Caffeine, alcohol, nicotine and cannabis are commonly used psychoactive substances. While the use of these substances has been previously shown to be genetically correlated, causality between these substance use traits remains unclear. We aimed to revisit the genetic relationships among different measures of SU using genome-wide association study (GWAS) summary statistics from the UK Biobank, International Cannabis Consortium, and GWAS & Sequencing Consortium of Alcohol and Nicotine use. METHODS We obtained GWAS summary statistics from the aforementioned consortia for ten substance use traits including various measures of alcohol consumption, caffeine consumption, cannabis initiation and smoking behaviours. We then conducted SNP-heritability (h2) estimation for individual SU traits, followed by genetic correlation analyses and two-sample Mendelian randomisation (MR) studies between substance use trait pairs. RESULTS SNP h2 of the ten traits ranged from 0.03 to 0.11. After multiple testing correction, 29 of the 45 trait pairs showed evidence of being genetically correlated. MR analyses revealed that most SU traits were not causally associated with each other. However, we found evidence for an MR association between regular smoking initiation and caffeine consumption 40.17 mg; 95 % CI: [24.01, 56.33] increase in caffeine intake per doubling of odds in smoking initiation). Our findings were robust against horizontal pleiotropy, SNP-outliers, and the direction of causality was consistent in all MR analyses. CONCLUSIONS Most of the substance traits were genetically correlated but there is little evidence to establish causality apart from the relationship between smoking initiation and caffeine consumption.
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Affiliation(s)
- Lun-Hsien Chang
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, 300 Herston Road, Brisbane, QLD, 4006, Australia.
| | - Jue-Sheng Ong
- Statistical Genetics, QIMR Berghofer Medical Research Institute, 300 Herston Road, Brisbane, QLD, 4006, Australia.
| | - Jiyuan An
- Statistical Genetics, QIMR Berghofer Medical Research Institute, 300 Herston Road, Brisbane, QLD, 4006, Australia.
| | - Karin J H Verweij
- Department of Psychiatry, Amsterdam UMC Location AMC, University of Amsterdam, Meibergdreef 5, 1105 AZ, Amsterdam, the Netherlands.
| | - Jacqueline M Vink
- Behavioural Science Institute, Developmental Psychopathology, Radboud University, Postbus 9104 6500 HE Nijmegen, the Netherlands.
| | - Joëlle Pasman
- Behavioural Science Institute, Developmental Psychopathology, Radboud University, Postbus 9104 6500 HE Nijmegen, the Netherlands.
| | - Mengzhen Liu
- Institute for Behavioural Genetics, University of Colorado, Boulder, CO, 80309-0447, United States.
| | - Stuart MacGregor
- Statistical Genetics, QIMR Berghofer Medical Research Institute, 300 Herston Road, Brisbane, QLD, 4006, Australia.
| | - Marilyn C Cornelis
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 N Lake Shore Dr Suite 1400, Chicago, IL, 60611, United States.
| | - Nicholas G Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, 300 Herston Road, Brisbane, QLD, 4006, Australia.
| | - Eske M Derks
- Translational Neurogenomics, QIMR Berghofer Medical Research Institute, 300 Herston Road, Brisbane, QLD 4006, Australia.
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Gelernter J, Sun N, Polimanti R, Pietrzak RH, Levey DF, Lu Q, Hu Y, Li B, Radhakrishnan K, Aslan M, Cheung KH, Li Y, Rajeevan N, Sayward F, Harrington K, Chen Q, Cho K, Honerlaw J, Pyarajan S, Lencz T, Quaden R, Shi Y, Hunter-Zinck H, Gaziano JM, Kranzler HR, Concato J, Zhao H, Stein MB. Genome-wide Association Study of Maximum Habitual Alcohol Intake in >140,000 U.S. European and African American Veterans Yields Novel Risk Loci. Biol Psychiatry 2019; 86:365-376. [PMID: 31151762 PMCID: PMC6919570 DOI: 10.1016/j.biopsych.2019.03.984] [Citation(s) in RCA: 63] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Revised: 03/16/2019] [Accepted: 03/18/2019] [Indexed: 12/20/2022]
Abstract
BACKGROUND Habitual alcohol use can be an indicator of alcohol dependence, which is associated with a wide range of serious health problems. METHODS We completed a genome-wide association study in 126,936 European American and 17,029 African American subjects in the Veterans Affairs Million Veteran Program for a quantitative phenotype based on maximum habitual alcohol consumption. RESULTS ADH1B, on chromosome 4, was the lead locus for both populations: for the European American sample, rs1229984 (p = 4.9 × 10-47); for African American, rs2066702 (p = 2.3 × 10-12). In the European American sample, we identified three additional genome-wide-significant maximum habitual alcohol consumption loci: on chromosome 17, rs77804065 (p = 1.5 × 10-12), at CRHR1 (corticotropin-releasing hormone receptor 1); the protein product of this gene is involved in stress and immune responses; and on chromosomes 8 and 10. European American and African American samples were then meta-analyzed; the associated region at CRHR1 increased in significance to 1.02 × 10-13, and we identified two additional genome-wide significant loci, FGF14 (p = 9.86 × 10-9) (chromosome 13) and a locus on chromosome 11. Besides ADH1B, none of the five loci have prior genome-wide significant support. Post-genome-wide association study analysis identified genetic correlation to other alcohol-related traits, smoking-related traits, and many others. Replications were observed in UK Biobank data. Genetic correlation between maximum habitual alcohol consumption and alcohol dependence was 0.87 (p = 4.78 × 10-9). Enrichment for cell types included dopaminergic and gamma-aminobutyric acidergic neurons in midbrain, and pancreatic delta cells. CONCLUSIONS The present study supports five novel alcohol-use risk loci, with particularly strong statistical support for CRHR1. Additionally, we provide novel insight regarding the biology of harmful alcohol use.
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Affiliation(s)
- Joel Gelernter
- Psychiatry Service, VA Connecticut Healthcare System, West Haven, Connecticut; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.
| | - Ning Sun
- Veterans Affairs (VA) Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut; Department of Biostatistics, Yale University School of Medicine, New Haven, Connecticut
| | - Renato Polimanti
- Psychiatry Service, VA Connecticut Healthcare System, West Haven, Connecticut; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Robert H Pietrzak
- Psychiatry Service, VA Connecticut Healthcare System, West Haven, Connecticut; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Daniel F Levey
- Psychiatry Service, VA Connecticut Healthcare System, West Haven, Connecticut; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Qiongshi Lu
- Department of Biostatistics, Yale University School of Medicine, New Haven, Connecticut
| | - Yiming Hu
- Department of Biostatistics, Yale University School of Medicine, New Haven, Connecticut
| | - Boyang Li
- Department of Biostatistics, Yale University School of Medicine, New Haven, Connecticut
| | - Krishnan Radhakrishnan
- Veterans Affairs (VA) Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut
| | - Mihaela Aslan
- Veterans Affairs (VA) Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut; Department of Medicine, Yale University School of Medicine, New Haven, Connecticut
| | - Kei-Hoi Cheung
- Veterans Affairs (VA) Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut; Department of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut
| | - Yuli Li
- Veterans Affairs (VA) Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut; Yale Center for Medical Informatics, Yale University School of Medicine, New Haven, Connecticut
| | - Nallakkandi Rajeevan
- Veterans Affairs (VA) Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut; Yale Center for Medical Informatics, Yale University School of Medicine, New Haven, Connecticut
| | - Fred Sayward
- Veterans Affairs (VA) Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut; Yale Center for Medical Informatics, Yale University School of Medicine, New Haven, Connecticut
| | - Kelly Harrington
- Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, Massachusetts; Department of Psychiatry, Boston University School of Medicine, Boston, Massachusetts
| | - Quan Chen
- Veterans Affairs (VA) Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut; Department of Biostatistics, Yale University School of Medicine, New Haven, Connecticut
| | - Kelly Cho
- Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, Massachusetts; Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Jacqueline Honerlaw
- Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, Massachusetts
| | - Saiju Pyarajan
- Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, Massachusetts; Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Todd Lencz
- Department of Psychiatry, Hofstra Northwell School of Medicine, Hempstead, New York; Department of Molecular Medicine, Hofstra Northwell School of Medicine, Hempstead, New York; Department of Psychiatry, Division of Research, The Zucker Hillside Hospital Division of Northwell Health, Glen Oaks, New York; Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, Manhasset, New York
| | - Rachel Quaden
- Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, Massachusetts
| | - Yunling Shi
- Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, Massachusetts
| | - Haley Hunter-Zinck
- Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, Massachusetts
| | - J Michael Gaziano
- Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, Massachusetts; Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Henry R Kranzler
- Veterans Integrated Services Networks (VISN) 4 Mental Illness Research, Education and Clinical Center, Crescenz VA Medical Center, Philadelphia, Pennsylvania; Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - John Concato
- Veterans Affairs (VA) Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut; Department of Medicine, Yale University School of Medicine, New Haven, Connecticut
| | - Hongyu Zhao
- Veterans Affairs (VA) Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut; Department of Biostatistics, Yale University School of Medicine, New Haven, Connecticut
| | - Murray B Stein
- Psychiatry Service, VA San Diego Healthcare System, San Diego, California; Department of Psychiatry, University of California San Diego, La Jolla, California.
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Stevens JE, Steinley D, McDowell YE, Boness CL, Trull TJ, Martin CS, Sher KJ. Toward more efficient diagnostic criteria sets and rules: The use of optimization approaches in addiction science. Addict Behav 2019; 94:57-64. [PMID: 30777336 PMCID: PMC6544486 DOI: 10.1016/j.addbeh.2019.02.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2018] [Revised: 01/24/2019] [Accepted: 02/04/2019] [Indexed: 11/26/2022]
Abstract
Psychiatric diagnostic systems, such as The Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), use expert consensus to determine diagnostic criteria sets and rules (DCSRs), rather than exploiting empirical techniques to arrive at optimal solutions (OS). Our project utilizes complete enumeration (i.e., generating all possible subsets of item combinations A and B with all possible thresholds, T) to evaluate all possible DCSRs given a set of relevant diagnostic data. This method yields the entire population distribution of diagnostic classifications (i.e., diagnosis of the disorder versus no diagnosis) produced by a set of dichotomous predictors (i.e., diagnostic criteria). Once unique sets are enumerated, optimization on some predefined correlate or predictor will maximally separate diagnostic groups on one or more, disorder-specific "outcome" criteria. We used this approach to illustrate how to create a common Substance Use Disorder (SUD) DCSR that is applicable to multiple substances. We demonstrate the utility of this approach with respect to alcohol use disorder and Cannabis Use Disorder (CUD) using DSM-5 criteria as input variables. The optimal SUD solution with a moderate or above severity grading included four criteria (i.e. 1) having a strong urge or craving for the substance (CR), 2) failure to fulfill major role obligations at work school or home (FF), 3) continued use of the substance despite social or interpersonal problems caused by the substance use (SI) and 4) physically hazardous use (HU)) with a diagnostic threshold of two. The derived DCSR was validated with known correlates of SUD and performed as well as DSM-5. Our findings illustrate the value of using an empirical approach to what is typically a subjective process of choosing criteria and algorithms that is prone to bias. The optimization of diagnostic criteria can reduce criteria set sizes, resulting in decreased research, clinician, and patient burden.
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Affiliation(s)
- Jordan E Stevens
- Department of Psychological Science, University of Missouri, United States.
| | - Douglas Steinley
- Department of Psychological Science, University of Missouri, United States
| | - Yoanna E McDowell
- Department of Psychological Science, University of Missouri, United States
| | - Cassandra L Boness
- Department of Psychological Science, University of Missouri, United States
| | - Timothy J Trull
- Department of Psychological Science, University of Missouri, United States
| | | | - Kenneth J Sher
- Department of Psychological Science, University of Missouri, United States
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15
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Johnson EC, St Pierre CL, Meyers JL, Aliev F, McCutcheon VV, Lai D, Dick DM, Goate AM, Kramer J, Kuperman S, Nurnberger JI, Schuckit MA, Porjesz B, Edenberg HJ, Bucholz KK, Agrawal A. The Genetic Relationship Between Alcohol Consumption and Aspects of Problem Drinking in an Ascertained Sample. Alcohol Clin Exp Res 2019; 43:1113-1125. [PMID: 30994927 PMCID: PMC6560626 DOI: 10.1111/acer.14064] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Accepted: 04/04/2019] [Indexed: 12/12/2022]
Abstract
BACKGROUND Genomewide association studies (GWAS) have begun to identify loci related to alcohol consumption, but little is known about whether this genetic propensity overlaps with specific indices of problem drinking in ascertained samples. METHODS In 6,731 European Americans who had been exposed to alcohol, we examined whether polygenic risk scores (PRS) from a GWAS of weekly alcohol consumption in the UK Biobank predicted variance in 6 alcohol-related phenotypes: alcohol use, maximum drinks within 24 hours (MAXD), total score on the Self-Rating of the Effects of Ethanol Questionnaire (SRE-T), DSM-IV alcohol dependence (DSM4AD), DSM-5 alcohol use disorder symptom counts (DSM5AUDSX), and reduction/cessation of problematic drinking. We also examined the extent to which an single nucleotide polymorphism (rs1229984) in ADH1B, which is strongly associated with both alcohol consumption and dependence, contributed to the polygenic association with these phenotypes and whether PRS interacted with sex, age, or family history of alcoholism to predict alcohol-related outcomes. We performed mixed-effect regression analyses, with family membership and recruitment site included as random effects, as well as survival modeling of age of onset of DSM4AD. RESULTS PRS for alcohol consumption significantly predicted variance in 5 of the 6 outcomes: alcohol use (Δmarginal R2 = 1.39%, Δ area under the curve [AUC] = 0.011), DSM4AD (Δmarginal R2 = 0.56%; ΔAUC = 0.003), DSM5AUDSX (Δmarginal R2 = 0.49%), MAXD (Δmarginal R2 = 0.31%), and SRE-T (Δmarginal R2 = 0.22%). PRS were also associated with onset of DSM4AD (hazard ratio = 1.11, p = 2.08e-5). The inclusion of rs1229984 attenuated the effects of the alcohol consumption PRS, particularly for DSM4AD and DSM5AUDSX, but the PRS continued to exert an independent effect for all 5 alcohol measures (Δmarginal R2 after controlling for ADH1B = 0.14 to 1.22%). Interactions between PRS and sex, age, or family history were nonsignificant. CONCLUSIONS Genetic propensity for typical alcohol consumption was associated with alcohol use and was also associated with 4 of the additional 5 outcomes, though the variance explained in this sample was modest. Future GWAS that focus on the multifaceted nature of AUD, which goes beyond consumption, might reveal additional information regarding the polygenic underpinnings of problem drinking.
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Affiliation(s)
- Emma C Johnson
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
| | - Celine L St Pierre
- Division of Biological and Biomedical Sciences, Washington University School of Medicine, Saint Louis, Missouri
| | - Jacquelyn L Meyers
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, New York
| | - Fazil Aliev
- Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia
- Department of Actuarial and Risk Management, Faculty of Business, Karabuk University, Karabük, Turkey
| | - Vivia V McCutcheon
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
| | - Dongbing Lai
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana
| | - Danielle M Dick
- Department of Psychology and Human and Molecular Genetics, Virginia Commonwealth University, Richmond, Virginia
| | - Alison M Goate
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York
| | - John Kramer
- Department of Psychiatry, Roy J and Lucille A Carver College of Medicine, University of Iowa, Iowa City, Iowa
| | - Samuel Kuperman
- Department of Psychiatry, Roy J and Lucille A Carver College of Medicine, University of Iowa, Iowa City, Iowa
| | - John I Nurnberger
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana
| | - Marc A Schuckit
- Department of Psychiatry, University of California San Diego, San Diego, California
| | - Bernice Porjesz
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, New York
| | - Howard J Edenberg
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, Indiana
| | - Kathleen K Bucholz
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
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16
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Boness CL, Stevens JE, Steinley D, Trull T, Sher KJ. Deriving alternative criteria sets for alcohol use disorders using statistical optimization: Results from the National Survey on Drug Use and Health. Exp Clin Psychopharmacol 2019; 27:283-296. [PMID: 30556734 PMCID: PMC6538450 DOI: 10.1037/pha0000249] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Much of the foundation of clinical practice, psychiatric epidemiology, and research into the etiology, course, prevention, and treatment of alcohol use disorder (AUD) rests on psychiatric diagnosis. However, existing research has failed to adequately exploit empirical techniques and existing databases to derive criteria considered optimal with respect to predicting external correlates. The current project adopts a novel approach to deriving new diagnostic criteria sets and rules for AUD. Utilizing the 2010 (N = 24,120) and 2013 (N = 23,627) National Survey on Drug Use and Health (NSDUH; Substance Abuse and Mental Health Services Administration [SAMHSA], 2011, 2014) data sets, we performed a statistical optimization procedure, using complete enumeration, on participants 21 or older who had consumed at least 1 alcoholic beverage in the past year. The goal was to maximize the distance (based on Cohen's d) between mean levels of the optimization criteria (i.e., consumption and functional impairment) in those with an AUD diagnosis versus those without. In contrast with current convention, AUD is derived transparently using a data-driven approach. The best solution included 9 criteria with a diagnostic threshold of 3, while the second-best solution comprised 5 criteria with a threshold of 2. External validation demonstrated both solutions perform similarly, suggesting it is appropriate to use either, depending on the goal of the diagnosis. Overall, statistical optimization approaches can yield highly efficient criteria sets and rules, although multiple, near equivalently performing solutions can be generated. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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17
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Kranzler HR, Zhou H, Kember RL, Vickers Smith R, Justice AC, Damrauer S, Tsao PS, Klarin D, Baras A, Reid J, Overton J, Rader DJ, Cheng Z, Tate JP, Becker WC, Concato J, Xu K, Polimanti R, Zhao H, Gelernter J. Genome-wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations. Nat Commun 2019; 10:1499. [PMID: 30940813 PMCID: PMC6445072 DOI: 10.1038/s41467-019-09480-8] [Citation(s) in RCA: 284] [Impact Index Per Article: 56.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Accepted: 03/06/2019] [Indexed: 12/21/2022] Open
Abstract
Alcohol consumption level and alcohol use disorder (AUD) diagnosis are moderately heritable traits. We conduct genome-wide association studies of these traits using longitudinal Alcohol Use Disorder Identification Test-Consumption (AUDIT-C) scores and AUD diagnoses in a multi-ancestry Million Veteran Program sample (N = 274,424). We identify 18 genome-wide significant loci: 5 associated with both traits, 8 associated with AUDIT-C only, and 5 associated with AUD diagnosis only. Polygenic Risk Scores (PRS) for both traits are associated with alcohol-related disorders in two independent samples. Although a significant genetic correlation reflects the overlap between the traits, genetic correlations for 188 non-alcohol-related traits differ significantly for the two traits, as do the phenotypes associated with the traits' PRS. Cell type group partitioning heritability enrichment analyses also differentiate the two traits. We conclude that, although heavy drinking is a key risk factor for AUD, it is not a sufficient cause of the disorder.
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Affiliation(s)
- Henry R Kranzler
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA.
- Crescenz Veterans Affairs Medical Center, Philadelphia, PA, 19104, USA.
| | - Hang Zhou
- Yale School of Medicine, New Haven, CT, 06511, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, 06516, USA
| | - Rachel L Kember
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Crescenz Veterans Affairs Medical Center, Philadelphia, PA, 19104, USA
| | - Rachel Vickers Smith
- Crescenz Veterans Affairs Medical Center, Philadelphia, PA, 19104, USA
- University of Louisville School of Nursing, Louisville, KY, 40202, USA
| | - Amy C Justice
- Yale School of Medicine, New Haven, CT, 06511, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, 06516, USA
- Yale School of Public Health, New Haven, CT, 06511, USA
| | - Scott Damrauer
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Crescenz Veterans Affairs Medical Center, Philadelphia, PA, 19104, USA
| | - Philip S Tsao
- VA Palo Alto Health Care System, Palo Alto, CA, 94304, USA
- Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Derek Klarin
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - Aris Baras
- Regeneron Genetics Center, Tarrytown, NY, 10591, USA
| | - Jeffrey Reid
- Regeneron Genetics Center, Tarrytown, NY, 10591, USA
| | - John Overton
- Regeneron Genetics Center, Tarrytown, NY, 10591, USA
| | - Daniel J Rader
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Zhongshan Cheng
- Yale School of Medicine, New Haven, CT, 06511, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, 06516, USA
| | - Janet P Tate
- Yale School of Medicine, New Haven, CT, 06511, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, 06516, USA
| | - William C Becker
- Yale School of Medicine, New Haven, CT, 06511, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, 06516, USA
| | - John Concato
- Yale School of Medicine, New Haven, CT, 06511, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, 06516, USA
| | - Ke Xu
- Yale School of Medicine, New Haven, CT, 06511, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, 06516, USA
| | - Renato Polimanti
- Yale School of Medicine, New Haven, CT, 06511, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, 06516, USA
| | - Hongyu Zhao
- Yale School of Medicine, New Haven, CT, 06511, USA
- Yale School of Public Health, New Haven, CT, 06511, USA
| | - Joel Gelernter
- Yale School of Medicine, New Haven, CT, 06511, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, 06516, USA
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18
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Boness CL, Lane SP, Sher KJ. Not all alcohol use disorder criteria are equally severe: Toward severity grading of individual criteria in college drinkers. PSYCHOLOGY OF ADDICTIVE BEHAVIORS 2019; 33:35-49. [PMID: 30676037 DOI: 10.1037/adb0000443] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Alcohol use disorder (AUD) diagnosis in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5; American Psychiatric Association, 2013) contains a severity gradient based on number of criteria endorsed, implicitly assuming criteria are interchangeable. However, criteria vary widely in endorsement rates, implying differences in the latent severity associated with a symptom (e.g., Lane, Steinley, & Sher, 2016) and demonstrating criteria are not interchangeable (Lane & Sher, 2015). We evaluated whether variation in the severity of criteria could be resolved by employing multiple indicators of each criterion varying in item-level severity. We assessed 909 undergraduate students aged 18 years or older with at least 12 drinking occasions in the past year. Participants self-administered questions on alcohol consumption and past year AUD symptoms via an online survey. For each of the 11 AUD criteria, we selected three indicators based on the difficulty values of the one-parameter logistic item response theory model ranging from low to high. We first tested a higher order AUD factor defined by 11 lower order criterion factors, χ2(551) = 2,959.35, p < .0001; root mean square error of approximation = 0.09. The 33 items were used to create severity scores: a criterion count (0-11), symptom count (0-33), and factor scores derived from a bifactor model. Though our new scores resulted in incremental validity over DSM-5 across a range of external validators, when the standardized regression estimates were compared, the new scores did not consistently outperform the DSM-5 suggesting this approach is viable for developing more sensitive diagnostic instruments but needs further refinement. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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Affiliation(s)
| | - Sean P Lane
- Department of Psychological Sciences, Purdue University
| | - Kenneth J Sher
- Department of Psychological Sciences, University of Missouri
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Chen G, Zhang F, Xue W, Wu R, Xu H, Wang K, Zhu J. An association study revealed substantial effects of dominance, epistasis and substance dependence co-morbidity on alcohol dependence symptom count. Addict Biol 2017; 22:1475-1485. [PMID: 27151647 DOI: 10.1111/adb.12402] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2015] [Revised: 02/27/2016] [Accepted: 03/15/2016] [Indexed: 12/12/2022]
Abstract
Alcohol dependence is a complex disease involving polygenes, environment and their interactions. Inadequate consideration of these interactions may have hampered the progress on genome-wide association studies of alcohol dependence. By using the dataset of the Study of Addiction: Genetics and Environment with 3838 subjects, we conducted a genome-wide association studies of alcohol dependence symptom count (ADSC) with a full genetic model considering additive, dominance, epistasis and their interactions with ethnicity, as well as conditions of co-morbid substance dependence. Twenty quantitative trait single nucleotide polymorphisms (QTSs) showed highly significant associations with ADSC, including four previously reported genes (ADH1C, PKNOX2, CPE and KCNB2) and the reported intergenic rs1363605, supporting the overall validity of the analysis. Two QTSs within or near ADH1C showed very strong association in a dominance inheritance mode and increased the phenotype value of ADSC when the effect of co-morbid opiate or marijuana dependence was controlled. Highly significant association was also identified in variants within four novel genes (RGS6, FMN1, NRM and BPTF), two non-coding RNA and two epistasis loci. QTS rs7616413, located near PTPRG encoding a protein tyrosine phosphatase receptor, interacted with rs10090742 within ANGPT1 encoding a protein tyrosine phosphatase in an additive × additive or dominance × additive manner. The detected QTSs contributed to about 20 percent of total heritability, in which dominance and epistasis effects accounted for over 50 percent. These results demonstrated that perturbations arising from gene-gene interaction and conditions of co-morbidity substantially influence the genetic architecture of complex trait.
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Affiliation(s)
- Gang Chen
- Center for Translational Systems Biology and Neuroscience, and Key Laboratory of Integrative Biomedicine for Brain Diseases; Nanjing University of Chinese Medicine; Nanjing China
| | - Futao Zhang
- Institute of Bioinformatics; Zhejiang University; Hangzhou China
| | - Wenda Xue
- Center for Translational Systems Biology and Neuroscience, and Key Laboratory of Integrative Biomedicine for Brain Diseases; Nanjing University of Chinese Medicine; Nanjing China
| | - Ruyan Wu
- Center for Translational Systems Biology and Neuroscience, and Key Laboratory of Integrative Biomedicine for Brain Diseases; Nanjing University of Chinese Medicine; Nanjing China
| | - Haiming Xu
- Institute of Bioinformatics; Zhejiang University; Hangzhou China
| | - Kesheng Wang
- Department of Biostatistics and Epidemiology, College of Public Health; East Tennessee State University; Johnson City TN USA
| | - Jun Zhu
- Institute of Bioinformatics; Zhejiang University; Hangzhou China
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Cohen-Gilbert JE, Nickerson LD, Sneider JT, Oot EN, Seraikas AM, Rohan ML, Silveri MM. College Binge Drinking Associated with Decreased Frontal Activation to Negative Emotional Distractors during Inhibitory Control. Front Psychol 2017; 8:1650. [PMID: 29018380 PMCID: PMC5614979 DOI: 10.3389/fpsyg.2017.01650] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2017] [Accepted: 09/07/2017] [Indexed: 12/23/2022] Open
Abstract
The transition to college is associated with an increase in heavy episodic alcohol use, or binge drinking, during a time when the prefrontal cortex and prefrontal-limbic circuitry continue to mature. Traits associated with this immaturity, including impulsivity in emotional contexts, may contribute to risky and heavy episodic alcohol consumption. The current study used blood oxygen level dependent (BOLD) multiband functional magnetic resonance imaging (fMRI) to assess brain activation during a task that required participants to ignore background images with positive, negative, or neutral emotional valence while performing an inhibitory control task (Go-NoGo). Subjects were 23 college freshmen (seven male, 18-20 years) who engaged in a range of drinking behavior (past 3 months' binge episodes range = 0-19, mean = 4.6, total drinks consumed range = 0-104, mean = 32.0). Brain activation on inhibitory trials (NoGo) was contrasted between negative and neutral conditions and between positive and neutral conditions using non-parametric testing (5000 permutations) and cluster-based thresholding (z = 2.3), p ≤ 0.05 corrected. Results showed that a higher recent incidence of binge drinking was significantly associated with decreased activation of dorsolateral prefrontal cortex (DLPFC), dorsomedial prefrontal cortex (DMPFC), and anterior cingulate cortex (ACC), brain regions strongly implicated in executive functioning, during negative relative to neutral inhibitory trials. No significant associations between binge drinking and brain activation were observed for positive relative to neutral images. While task performance was not significantly associated with binge drinking in this sample, subjects with heavier recent binge drinking showed decreased recruitment of executive control regions under negative versus neutral distractor conditions. These findings suggest that in young adults with heavier recent binge drinking, processing of negative emotional images interferes more with inhibitory control neurocircuitry than in young adults who do not binge drink often. This pattern of altered frontal lobe activation associated with binge drinking may serve as an early marker of risk for future self-regulation deficits that could lead to problematic alcohol use. These findings underscore the importance of understanding the impact of emotion on cognitive control and associated brain functioning in binge drinking behaviors among young adults.
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Affiliation(s)
- Julia E. Cohen-Gilbert
- Neurodevelopmental Laboratory on Addictions and Mental Health, McLean Hospital, BelmontMA, United States
- Department of Psychiatry, Harvard Medical School, BostonMA, United States
| | - Lisa D. Nickerson
- Department of Psychiatry, Harvard Medical School, BostonMA, United States
- Applied Neuroimaging Statistics Laboratory, McLean Hospital, BelmontMA, United States
| | - Jennifer T. Sneider
- Neurodevelopmental Laboratory on Addictions and Mental Health, McLean Hospital, BelmontMA, United States
- Department of Psychiatry, Harvard Medical School, BostonMA, United States
| | - Emily N. Oot
- Neurodevelopmental Laboratory on Addictions and Mental Health, McLean Hospital, BelmontMA, United States
- Boston University School of Medicine, BostonMA, United States
| | - Anna M. Seraikas
- Neurodevelopmental Laboratory on Addictions and Mental Health, McLean Hospital, BelmontMA, United States
| | - Michael L. Rohan
- Department of Psychiatry, Harvard Medical School, BostonMA, United States
- McLean Imaging Center, McLean Hospital, BelmontMA, United States
| | - Marisa M. Silveri
- Neurodevelopmental Laboratory on Addictions and Mental Health, McLean Hospital, BelmontMA, United States
- Department of Psychiatry, Harvard Medical School, BostonMA, United States
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21
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Waldron JS, Malone SM, McGue M, Iacono WG. Genetic and environmental sources of covariation between early drinking and adult functioning. PSYCHOLOGY OF ADDICTIVE BEHAVIORS 2017; 31:589-600. [PMID: 28594187 DOI: 10.1037/adb0000283] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
The vast majority of individuals initiate alcohol consumption for the first time in adolescence. Given the widespread nature of its use and evidence that adolescents may be especially vulnerable to its effects, there is concern about the long-term detrimental impact of adolescent drinking on adult functioning. While some researchers have suggested that genetic processes may confound the relationship, the mechanisms linking drinking and later adjustment remain unclear. The current study utilized a genetically informed sample and biometric modeling to examine the nature of the familial influences on this association and identify the potential for genetic confounding. The sample was drawn from the Minnesota Twin Family Study (MTFS), a longitudinal study consisting of 2,764 twins assessed in 2 cohorts at regular follow-ups from age 17 to age 29 (older cohort) or age 11 to age 29 (younger cohort). A broad range of adult measures was included assessing substance use, antisocial behavior, personality, socioeconomic status, and social functioning. A bivariate Cholesky decomposition was used to examine the common genetic and environmental influences on adolescent drinking and each of the measures of adult adjustment. The results revealed that genetic factors and nonshared environmental influences were generally most important in explaining the relationship between adolescent drinking and later functioning. While the presence of nonshared environmental influences on the association are not inconsistent with a causal impact of adolescent drinking, the findings suggest that many of the adjustment issues associated with adolescent alcohol consumption are best understood as genetically influenced vulnerabilities. (PsycINFO Database Record
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Affiliation(s)
| | | | - Matt McGue
- Department of Psychology, University of Minnesota
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22
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Reilly MT, Noronha A, Goldman D, Koob GF. Genetic studies of alcohol dependence in the context of the addiction cycle. Neuropharmacology 2017; 122:3-21. [PMID: 28118990 DOI: 10.1016/j.neuropharm.2017.01.017] [Citation(s) in RCA: 67] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2016] [Revised: 01/13/2017] [Accepted: 01/19/2017] [Indexed: 12/16/2022]
Abstract
Family, twin and adoption studies demonstrate clearly that alcohol dependence and alcohol use disorders are phenotypically complex and heritable. The heritability of alcohol use disorders is estimated at approximately 50-60% of the total phenotypic variability. Vulnerability to alcohol use disorders can be due to multiple genetic or environmental factors or their interaction which gives rise to extensive and daunting heterogeneity. This heterogeneity makes it a significant challenge in mapping and identifying the specific genes that influence alcohol use disorders. Genetic linkage and (candidate gene) association studies have been used now for decades to map and characterize genomic loci and genes that underlie the genetic vulnerability to alcohol use disorders. These approaches have been moderately successful in identifying several genes that contribute to the complexity of alcohol use disorders. Recently, genome-wide association studies have become one of the major tools for identifying genes for alcohol use disorders by examining correlations between millions of common single-nucleotide polymorphisms with diagnosis status. Genome-wide association studies are just beginning to uncover novel biology; however, the functional significance of results remains a matter of extensive debate and uncertainty. In this review, we present a select group of genome-wide association studies of alcohol dependence, as one example of a way to generate functional hypotheses, within the addiction cycle framework. This analysis may provide novel directions for validating the functional significance of alcohol dependence candidate genes. This article is part of the Special Issue entitled "Alcoholism".
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Affiliation(s)
- Matthew T Reilly
- National Institutes of Health (NIH), National Institute on Alcohol Abuse and Alcoholism (NIAAA), Division of Neuroscience and Behavior, 5635 Fishers Lane, Bethesda, MD 20852, USA.
| | - Antonio Noronha
- National Institutes of Health (NIH), National Institute on Alcohol Abuse and Alcoholism (NIAAA), Division of Neuroscience and Behavior, 5635 Fishers Lane, Bethesda, MD 20852, USA
| | - David Goldman
- National Institutes of Health (NIH), National Institute on Alcohol Abuse and Alcoholism (NIAAA), Chief, Laboratory of Neurogenetics, 5635 Fishers Lane, Bethesda, MD 20852, USA
| | - George F Koob
- National Institutes of Health (NIH), National Institute on Alcohol Abuse and Alcoholism (NIAAA), Director NIAAA, 5635 Fishers Lane, Bethesda, MD 20852, USA
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23
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Hart AB, Lynch KG, Farrer L, Gelernter J, Kranzler HR. Which alcohol use disorder criteria contribute to the association of ADH1B with alcohol dependence? Addict Biol 2016; 21:924-38. [PMID: 25828809 DOI: 10.1111/adb.12244] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Although alcohol dependence (AD) is approximately 50% heritable, little is known about how specific genetic loci affect AD risk. In a genome-wide association study (GWAS), we identified highly significant associations between two population-specific functional variants in the alcohol dehydrogenase 1B gene (ADH1B) and AD in African-Americans (AAs; rs2066702) and European-Americans (EAs; rs1229984). In the current study, we determined which specific diagnostic criteria contributed to the observed associations of ADH1B SNPs with AD. Our analysis included both the DSM-IV and DSM-5 diagnostic systems. We also investigated the relationship of ADH1B variants to the maximum number of drinks consumed in a 24-hour period (MaxDrinks), a presumed intermediate phenotype of AD. We found that, although all criteria made strong individual contributions to the associations, the largest contributions came from those reflecting neuroadaptation: tolerance (rs2066702) and withdrawal (rs1229984). Overall, evidence for association with DSM-5 criteria was slightly stronger than for DSM-IV criteria. For rs2066702, results were similar for DSM-IV and DSM-5 criteria. However, the most significant DSM-5 criterion associated with rs1229984 was alcohol-related social/interpersonal problems. Both ADH1B variants were associated with MaxDrinks, a measure of innate tolerance, and MaxDrinks mediated the associations between ADH1B and alcohol outcomes. We replicated the findings for rs2066702 and tolerance in an independent sample of AAs. Taken together, these results suggest that variation in ADH1B affects the adaptation to heavy drinking, highlighting population-specific differences in genetic risk for AUD. They also suggest that the revisions reflected in DSM-5 AUD may enhance the utility of that diagnosis for gene finding.
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Affiliation(s)
- Amy B. Hart
- Center for Studies of Addiction; Department of Psychiatry; Perelman School of Medicine; University of Pennsylvania; Philadelphia PA USA
| | - Kevin G. Lynch
- Center for Studies of Addiction; Department of Psychiatry; Perelman School of Medicine; University of Pennsylvania; Philadelphia PA USA
| | - Lindsay Farrer
- Departments of Medicine (Biomedical Genetics), Neurology, Ophthalmology, Genetics & Genomics, Biostatistics, and Epidemiology; Schools of Medicine and Public Health; Boston University; Boston MA USA
| | - Joel Gelernter
- Departments of Psychiatry; Division of Human Genetics; Neurobiology, and Genetics; School of Medicine; Yale University; New Haven CT USA
- VA Connecticut Healthcare System; West Haven CT USA
| | - Henry R. Kranzler
- Center for Studies of Addiction; Department of Psychiatry; Perelman School of Medicine; University of Pennsylvania; Philadelphia PA USA
- VISN4 MIRECC; Philadelphia VAMC; Philadelphia PA USA
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24
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A Preliminary Prospective Study of an Escalation in 'Maximum Daily Drinks', Fronto-Parietal Circuitry and Impulsivity-Related Domains in Young Adult Drinkers. Neuropsychopharmacology 2016; 41:1637-47. [PMID: 26514582 PMCID: PMC4832027 DOI: 10.1038/npp.2015.332] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2015] [Revised: 09/14/2015] [Accepted: 09/14/2015] [Indexed: 12/23/2022]
Abstract
Excessive alcohol use in young adults is associated with greater impulsivity and neurobiological alterations in executive control systems. The maximum number of drinks consumed during drinking occasions ('MaxDrinks') represents a phenotype linked to vulnerability of alcohol use disorders, and an increase, or 'escalation', in MaxDrinks may be indicative of greater risk for problematic drinking. Thirty-six young adult drinkers performed a Go/No-Go task during fMRI, completed impulsivity-related assessments, and provided monthly reports of alcohol use during a 12-month follow-up period. Participants were characterized by MaxDrinks at baseline and after follow-up, identifying 18 escalating drinkers and 18 constant drinkers. Independent component analysis was used to investigate functional brain networks associated with response inhibition, and relationships with principal component analysis derived impulsivity-related domains were examined. Greater baseline MaxDrinks was associated with an average reduction in the engagement of a right-lateralized fronto-parietal functional network, while an escalation in MaxDrinks was associated with a greater difference in fronto-parietal engagement between successful inhibitions and error trials. Escalating drinkers displayed greater impulsivity/compulsivity-related domain scores that were positively associated with fronto-parietal network engagement and change in MaxDrinks during follow-up. In young adults, an escalating MaxDrinks trajectory was prospectively associated with altered fronto-parietal control mechanisms and greater impulsivity/compulsivity scores. Continued longitudinal studies of MaxDrinks trajectories, functional network activity, and impulsivity/compulsivity-related features may lend further insight into an intermediate phenotype vulnerable for alcohol use and addictive disorders.
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25
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Chartier KG, Dick DM, Almasy L, Chan G, Aliev F, Schuckit MA, Scott DM, Kramer J, Bucholz KK, Bierut LJ, Nurnberger J, Porjesz B, Hesselbrock VM. Interactions Between Alcohol Metabolism Genes and Religious Involvement in Association With Maximum Drinks and Alcohol Dependence Symptoms. J Stud Alcohol Drugs 2016; 77:393-404. [PMID: 27172571 PMCID: PMC4869897 DOI: 10.15288/jsad.2016.77.393] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2015] [Accepted: 11/06/2015] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVE Variations in the genes encoding alcohol dehydrogenase (ADH) enzymes are associated with both alcohol consumption and dependence in multiple populations. Additionally, some environmental factors have been recognized as modifiers of these relationships. This study examined the modifying effect of religious involvement on relationships between ADH gene variants and alcohol consumption-related phenotypes. METHOD Subjects were African American, European American, and Hispanic American adults with lifetime exposure to alcohol (N = 7,716; 53% female) from the Collaborative Study on the Genetics of Alcoholism. Genetic markers included ADH1Brs1229984, ADH1B-rs2066702, ADH1C-rs698, ADH4-rs1042364, and ADH4-rs1800759. Phenotypes were maximum drinks consumed in a 24-hour period and total number of alcohol dependence symptoms according to the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition. Religious involvement was defined by self-reported religious services attendance. RESULTS Both religious involvement and ADH1B-rs1229984 were negatively associated with the number of maximum drinks consumed and the number of lifetime alcohol dependence symptoms endorsed. The interactions of religious involvement with ADH1B-rs2066702, ADH1C-rs698, and ADH4-rs1042364 were significantly associated with maximum drinks and alcohol dependence symptoms. Risk variants had weaker associations with maximum drinks and alcohol dependence symptoms as a function of increasing religious involvement. CONCLUSIONS This study provided initial evidence of a modifying effect for religious involvement on relationships between ADH variants and maximum drinks and alcohol dependence symptoms.
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Affiliation(s)
- Karen G. Chartier
- Virginia Commonwealth University School of Social Work, Richmond, Virginia
- Department of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, Virginia
| | - Danielle M. Dick
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia
| | - Laura Almasy
- South Texas Diabetes and Obesity Institute, University of Texas Health Science Center at San Antonio, San Antonio, Texas
| | - Grace Chan
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, Connecticut
| | - Fazil Aliev
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia
- Faculty of Business, Karabuk University, Karabuk, Turkey
| | - Marc A. Schuckit
- Department of Psychiatry, University of San Diego School of Medicine, La Jolla, California
| | - Denise M. Scott
- Departments of Pediatrics and Human Genetics, Howard University, Washington, DC
| | - John Kramer
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, Iowa
| | - Kathleen K. Bucholz
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Laura J. Bierut
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - John Nurnberger
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana
| | - Bernice Porjesz
- Department of Psychiatry, SUNY Downstate Medical Center, Brooklyn, New York
| | - Victor M. Hesselbrock
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, Connecticut
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26
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Kapoor M, Chou YL, Edenberg HJ, Foroud T, Martin NG, Madden PAF, Wang JC, Bertelsen S, Wetherill L, Brooks A, Chan G, Hesselbrock V, Kuperman S, Medland SE, Montgomery G, Tischfield J, Whitfield JB, Bierut LJ, Heath AC, Bucholz KK, Goate AM, Agrawal A. Genome-wide polygenic scores for age at onset of alcohol dependence and association with alcohol-related measures. Transl Psychiatry 2016; 6:e761. [PMID: 27003187 PMCID: PMC4872451 DOI: 10.1038/tp.2016.27] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2015] [Revised: 11/25/2015] [Accepted: 12/25/2015] [Indexed: 12/18/2022] Open
Abstract
Age at onset of alcohol dependence (AO-AD) is a defining feature of multiple drinking typologies. AO-AD is heritable and likely shares genetic liability with other aspects of alcohol consumption. We examine whether polygenic variation in AO-AD, based on a genome-wide association study (GWAS), was associated with AO-AD and other aspects of alcohol consumption in two independent samples. Genetic risk scores (GRS) were created based on AO-AD GWAS results from a discovery sample of 1788 regular drinkers from extended pedigrees from the Collaborative Study of the Genetics of Alcoholism (COGA). GRS were used to predict AO-AD, AD and Alcohol dependence symptom count (AD-SX), age at onset of intoxication (AO-I), as well as maxdrinks in regular drinking participants from two independent samples-the Study of Addictions: Genes and Environment (SAGE; n=2336) and an Australian sample (OZ-ALC; n=5816). GRS for AO-AD from COGA explained a modest but significant proportion of the variance in all alcohol-related phenotypes in SAGE. Despite including effect sizes associated with large numbers of single nucleotide polymorphisms (SNPs; >110 000), GRS explained, at most, 0.7% of the variance in these alcohol measures in this independent sample. In OZ-ALC, significant but even more modest associations were noted with variance estimates ranging from 0.03 to 0.16%. In conclusion, there is modest evidence that genetic variation in AO-AD is associated with liability to other aspects of alcohol involvement.
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Affiliation(s)
- M Kapoor
- Neuroscience Genetics & Genomics Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Y-L Chou
- Washington University School of Medicine, St. Louis, MO, USA
| | - H J Edenberg
- Indiana University School of Medicine, Indianapolis, IN, USA
| | - T Foroud
- Indiana University School of Medicine, Indianapolis, IN, USA
| | - N G Martin
- Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - P A F Madden
- Washington University School of Medicine, St. Louis, MO, USA
| | - J C Wang
- Neuroscience Genetics & Genomics Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - S Bertelsen
- Neuroscience Genetics & Genomics Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - L Wetherill
- Indiana University School of Medicine, Indianapolis, IN, USA
| | - A Brooks
- Rutgers University, New Brunswick, NJ, USA
| | - G Chan
- University of Connecticut Health Center, Farmington, CT, USA
| | - V Hesselbrock
- University of Connecticut Health Center, Farmington, CT, USA
| | - S Kuperman
- University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - S E Medland
- Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - G Montgomery
- Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | | | - J B Whitfield
- Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - L J Bierut
- Washington University School of Medicine, St. Louis, MO, USA
| | - A C Heath
- Washington University School of Medicine, St. Louis, MO, USA
| | - K K Bucholz
- Washington University School of Medicine, St. Louis, MO, USA
| | - A M Goate
- Neuroscience Genetics & Genomics Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - A Agrawal
- Washington University School of Medicine, St. Louis, MO, USA
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27
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Munn-Chernoff MA, Grant JD, Agrawal A, Sartor CE, Werner KB, Bucholz KK, Madden PAF, Heath AC, Duncan AE. Genetic overlap between alcohol use disorder and bulimic behaviors in European American and African American women. Drug Alcohol Depend 2015; 153:335-40. [PMID: 26096536 PMCID: PMC4509802 DOI: 10.1016/j.drugalcdep.2015.05.043] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2015] [Revised: 05/29/2015] [Accepted: 05/30/2015] [Indexed: 10/23/2022]
Abstract
BACKGROUND Despite substantial evidence that alcohol use disorder (AUD) and bulimic behaviors (i.e., binge eating and compensatory behaviors) co-occur, insufficient information exists regarding a possible shared etiology. Moreover, although numerous twin studies of European ancestry individuals have reported moderate heritability estimates for AUD and bulimic behaviors, with little evidence for shared environmental factors, research on genetic and environmental risk in African American (AA) individuals is lacking. METHODS We investigated specific and overlapping genetic and environmental influences on AUD and bulimic behaviors in 3232 European American (EA; 55.38% monozygotic) and 549 AA (42.81% monozygotic) young adult female twins from the Missouri Adolescent Female Twin Study (age range=18-29 years). A structured clinical interview assessed lifetime DSM-5 AUD (minus craving) and bulimic behaviors. Biometrical twin modeling was conducted to generate age-adjusted estimates of genetic and environmental influences on AUD, bulimic behaviors, and their comorbidity. RESULTS Estimates of genetic and environmental contributions on AUD and bulimic behaviors could be equated across EA and AA women. Additive genetic effects accounted for 59% (95% CI: 50%, 66%) and 43% (33%, 52%) of the variance in AUD and bulimic behaviors, respectively, with the remainder due to non-shared environmental effects. Shared genetic factors (rg=.33 (.18, .49)) were solely responsible for the correlation between phenotypes; the non-shared environmental correlation was not significant (re=.10 (-.05, .25)). CONCLUSIONS Findings indicate similar magnitudes of genetic and environmental effects on AUD and bulimic behaviors for EA and AA women and implicate common genetic mechanisms underlying liability to these problem behaviors.
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Affiliation(s)
| | - Julia D. Grant
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, 660 South Euclid, CB 8134, St. Louis, MO 63110, USA.
| | - Carolyn E. Sartor
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO,Department of Psychiatry, Yale University School of Medicine, West Haven, CT
| | - Kimberly B. Werner
- George Warren Brown School of Social Work, Washington University, St. Louis, MO
| | - Kathleen K. Bucholz
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
| | - Pamela A. F. Madden
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
| | - Andrew C. Heath
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
| | - Alexis E. Duncan
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO,George Warren Brown School of Social Work, Washington University, St. Louis, MO
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28
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Glass J, Grant J, Yoon H, Bucholz K. Alcohol problem recognition and help seeking in adolescents and young adults at varying genetic and environmental risk. Drug Alcohol Depend 2015; 153:250-7. [PMID: 26036603 PMCID: PMC4761262 DOI: 10.1016/j.drugalcdep.2015.05.006] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2014] [Revised: 04/06/2015] [Accepted: 05/08/2015] [Indexed: 10/23/2022]
Abstract
INTRODUCTION Alcohol use disorder symptoms frequently occur in adolescents and younger adults who seldom acknowledge a need for help. We identified sociodemographic, clinical, and familial predictors of alcohol problem recognition and help seeking in an offspring of twin sample. METHOD We analyzed longitudinal data from the Children of Alcoholics and Twins as Parents studies, which are combinable longitudinal data sources due to their equivalent design. We analyzed respondents (n=1073, 56.0% of the total sample) with alcohol use disorder symptoms at the baseline interview. Familial characteristics included perceptions of alcohol problems and help seeking for alcohol problems within the immediate family and a categorical variable indicating genetic and environmental risk. We used logistic regression to examine predictors of alcohol problem recognition and help seeking. RESULTS Approximately 25.9% recognized their alcohol problems and 26.7% sought help for drinking. In covariate-adjusted analyses, help seeking among family members predicted problem recognition, several clinical characteristics predicted both problem recognition and help seeking, and familial risk predicted help seeking. Alcohol problem recognition mediated the association between alcohol use disorder symptoms and incident help seeking. CONCLUSIONS Facilitating the self-recognition of alcohol use disorder symptoms, and perhaps the awareness of family members' help seeking for alcohol problems, may be potentially promising methods to facilitate help seeking.
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Affiliation(s)
- J.E. Glass
- School of Social Work, University of Wisconsin-Madison, 1350 University Ave, Madison, WI 53706
| | - J.D. Grant
- Department of Psychiatry and Alcoholism Research Center, Washington University School of Medicine, 660 Euclid, St. Louis, MO, United States, 63110
| | - H.Y. Yoon
- Department of Journalism and Mass Communication, University of Wisconsin-Madison, 5115 Vilas Hall, 821 University Avenue, Madison WI 53705
| | - K.K. Bucholz
- Department of Psychiatry and Alcoholism Research Center, Washington University School of Medicine, 660 Euclid, St. Louis, MO, United States, 63110
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Saba LM, Flink SC, Vanderlinden LA, Israel Y, Tampier L, Colombo G, Kiianmaa K, Bell RL, Printz MP, Flodman P, Koob G, Richardson HN, Lombardo J, Hoffman PL, Tabakoff B. The sequenced rat brain transcriptome--its use in identifying networks predisposing alcohol consumption. FEBS J 2015; 282:3556-78. [PMID: 26183165 DOI: 10.1111/febs.13358] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2015] [Revised: 06/10/2015] [Accepted: 06/23/2015] [Indexed: 01/01/2023]
Abstract
UNLABELLED A quantitative genetic approach, which involves correlation of transcriptional networks with the phenotype in a recombinant inbred (RI) population and in selectively bred lines of rats, and determination of coinciding quantitative trait loci for gene expression and the trait of interest, has been applied in the present study. In this analysis, a novel approach was used that combined DNA-Seq data, data from brain exon array analysis of HXB/BXH RI rat strains and six pairs of rat lines selectively bred for high and low alcohol preference, and RNA-Seq data (including rat brain transcriptome reconstruction) to quantify transcript expression levels, generate co-expression modules and identify biological functions that contribute to the predisposition of consuming varying amounts of alcohol. A gene co-expression module was identified in the RI rat strains that contained both annotated and unannotated transcripts expressed in the brain, and was associated with alcohol consumption in the RI panel. This module was found to be enriched with differentially expressed genes from the selected lines of rats. The candidate genes within the module and differentially expressed genes between high and low drinking selected lines were associated with glia (microglia and astrocytes) and could be categorized as being related to immune function, energy metabolism and calcium homeostasis, as well as glial-neuronal communication. The results of the present study show that there are multiple combinations of genetic factors that can produce the same phenotypic outcome. Although no single gene accounts for predisposition to a particular level of alcohol consumption in every animal model, coordinated differential expression of subsets of genes in the identified pathways produce similar phenotypic outcomes. DATABASE The datasets supporting the results of the present study are available at http://phenogen.ucdenver.edu.
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Affiliation(s)
- Laura M Saba
- Department of Pharmaceutical Sciences, University of Colorado Denver, Aurora, CO, USA
| | - Stephen C Flink
- Department of Pharmaceutical Sciences, University of Colorado Denver, Aurora, CO, USA
| | - Lauren A Vanderlinden
- Department of Pharmaceutical Sciences, University of Colorado Denver, Aurora, CO, USA
| | - Yedy Israel
- Laboratory of Pharmacogenetics of Alcoholism, Molecular & Clinical Pharmacology Program, Institute of Biomedical Sciences, Faculty of Medicine, University of Chile, Santiago, Chile
| | - Lutske Tampier
- Laboratory of Pharmacogenetics of Alcoholism, Molecular & Clinical Pharmacology Program, Institute of Biomedical Sciences, Faculty of Medicine, University of Chile, Santiago, Chile
| | - Giancarlo Colombo
- Neuroscience Institute, National Research Council of Italy, Section of Cagliari, Monserrato, Italy
| | - Kalervo Kiianmaa
- Department of Alcohol, Drugs and Addiction, National Institute for Health and Welfare, Helsinki, Finland
| | - Richard L Bell
- Department of Psychiatry, Institute of Psychiatric Research, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Morton P Printz
- Department of Pharmacology, University of California San Diego, La Jolla, CA, USA
| | - Pamela Flodman
- Department of Pediatrics, University of California, Irvine, Irvine, CA, USA
| | - George Koob
- Committee on the Neurobiology of Addiction Disorders, The Scripps Research Institute, La Jolla, CA, USA
| | - Heather N Richardson
- Committee on the Neurobiology of Addiction Disorders, The Scripps Research Institute, La Jolla, CA, USA
| | - Joseph Lombardo
- National Supercomputing Center for Energy and Environment, University of Nevada, Las Vegas, Nevada, USA
| | - Paula L Hoffman
- Department of Pharmaceutical Sciences, University of Colorado Denver, Aurora, CO, USA.,Department of Pharmacology, University of Colorado Denver, Aurora, CO, USA
| | - Boris Tabakoff
- Department of Pharmaceutical Sciences, University of Colorado Denver, Aurora, CO, USA.,Department of Pharmacology, University of Colorado Denver, Aurora, CO, USA
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Xu K, Kranzler HR, Sherva R, Sartor CE, Almasy L, Koesterer R, Zhao H, Farrer LA, Gelernter J. Genomewide Association Study for Maximum Number of Alcoholic Drinks in European Americans and African Americans. Alcohol Clin Exp Res 2015; 39:1137-47. [PMID: 26036284 PMCID: PMC4706077 DOI: 10.1111/acer.12751] [Citation(s) in RCA: 49] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2014] [Accepted: 03/27/2015] [Indexed: 12/31/2022]
Abstract
BACKGROUND We conducted a genomewide association study (GWAS) for maximum number of alcoholic drinks consumed in a 24-hour period ("MaxDrinks"), in 2 independent samples comprised of over 9,500 subjects, following up on our GWAS for alcohol dependence (AD) in European Americans (EAs) and African Americans (AAs). METHODS The samples included our GWAS samples (Yale-UPenn) recruited for studies of the genetics of drug or AD, and a publicly available sample: the Study of Addiction: Genetics and Environment (SAGE). Genomewide association analysis was performed for ~890,000 single nucleotide polymorphisms (SNPs) using linear association random effects models. EAs and AAs were separately analyzed. RESULTS The results confirmed significant associations of the well-known functional loci at ADH1B with MaxDrinks in EAs (rs1229984 Arg48His p = 5.96 × 10(-15) ) and AAs (rs2066702 Arg370Cys, p = 2.50 × 10(-10) ). The region of significant association on chromosome 4 was extended to LOC100507053 in AAs but not EAs. We also identified potentially novel significant common SNPs for MaxDrinks in EAs in the Yale-UPenn sample: rs1799876 at SERPINC1 on chromosome 1 (4.00 × 10(-8) ) and rs2309169 close to ANKRD36 on chromosome 2 (p = 5.58 × 10(-9) ). After adjusting for the peak SNP rs1229984 on ADH1B, rs1799876 was nearly significant (p = 1.99 × 10(-7) ) and rs2309169 remained highly significant (2.12 × 10(-9) ). CONCLUSIONS The results provide further support that ADH1B modulates alcohol consumption. Future replications of potential novel loci are warranted. This is the largest MaxDrinks GWAS to date, the first in AAs.
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Affiliation(s)
- Ke Xu
- Department of Psychiatry, Yale School of Medicine, and VA CT Healthcare Center, West Haven, CT, USA 06516
| | - Henry R. Kranzler
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine and VISN 4 MIRECC, Philadelphia VA Medical Center, Philadelphia, PA, USA
| | - Richard Sherva
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA, USA
| | - Carolyn E. Sartor
- Department of Psychiatry, Yale School of Medicine, and VA CT Healthcare Center, West Haven, CT, USA 06516
| | - Laura Almasy
- Department of Psychiatry, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Ryan Koesterer
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA, USA
| | - Hongyu Zhao
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
| | - Lindsay A. Farrer
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA, USA
| | - Joel Gelernter
- Department of Psychiatry, Yale School of Medicine, and VA CT Healthcare Center, West Haven, CT, USA 06516
- Department of genetics and Neurobiology, Yale University School of Medicine, West Haven, USA 06516
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Genome-Wide Meta-Analysis of Longitudinal Alcohol Consumption Across Youth and Early Adulthood. Twin Res Hum Genet 2015; 18:335-47. [PMID: 26081443 DOI: 10.1017/thg.2015.36] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
The public health burden of alcohol is unevenly distributed across the life course, with levels of use, abuse, and dependence increasing across adolescence and peaking in early adulthood. Here, we leverage this temporal patterning to search for common genetic variants predicting developmental trajectories of alcohol consumption. Comparable psychiatric evaluations measuring alcohol consumption were collected in three longitudinal community samples (N=2,126, obs=12,166). Consumption-repeated measurements spanning adolescence and early adulthood were analyzed using linear mixed models, estimating individual consumption trajectories, which were then tested for association with Illumina 660W-Quad genotype data (866,099 SNPs after imputation and QC). Association results were combined across samples using standard meta-analysis methods. Four meta-analysis associations satisfied our pre-determined genome-wide significance criterion (FDR<0.1) and six others met our 'suggestive' criterion (FDR<0.2). Genome-wide significant associations were highly biological plausible, including associations within GABA transporter 1, SLC6A1 (solute carrier family 6, member 1), and exonic hits in LOC100129340 (mitofusin-1-like). Pathway analyses elaborated single marker results, indicating significant enriched associations to intuitive biological mechanisms, including neurotransmission, xenobiotic pharmacodynamics, and nuclear hormone receptors (NHR). These findings underscore the value of combining longitudinal behavioral data and genome-wide genotype information in order to study developmental patterns and improve statistical power in genomic studies.
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Kilcoyne B, Shmulewitz D, Meyers JL, Aharonovich E, Greenstein E, Frisch A, Weizman A, Spivak B, Edenberg HJ, Gelernter J, Hasin DS. Alcohol consumption mediates the relationship between ADH1B and DSM-IV alcohol use disorder and criteria. J Stud Alcohol Drugs 2015; 75:635-42. [PMID: 24988262 DOI: 10.15288/jsad.2014.75.635] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVE A single nucleotide variation in the alcohol dehydrogenase 1B (ADH1B) gene, rs1229984, produces an ADH1B enzyme with faster acetaldehyde production. This protective variant is associated with lower alcohol consumption and lower risk for alcohol use disorders (AUDs). Based on the premise that faster ADH1B kinetics decreases alcohol consumption, we formally tested if the association between ADH1B variant rs1229984 and AUDs occurs through consumption. We also tested whether the association between rs1229984 and each of the 11 Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV), AUD criteria occurs through consumption. METHOD A total of 1,130 lifetime drinkers from an Israeli household sample were assessed with a structured interview and genotyped for rs1229984 (protective allele frequency = 0.28). Logistic regression evaluated the association between rs1229984 and each phenotype (AUDs, 11 individual DSM-IV criteria). For phenotypes significantly related to rs1229984, the effect through consumption was tested with logistic regression and bootstrapping. RESULTS ADH1B rs1229984 was significantly associated with AUDs and six criteria, with odds ratios ranging from 1.32 to 1.96. The effect through consumption was significant for these relationships, explaining 23%-74% of the total ADH1B effect. CONCLUSIONS This is the first study to show that ADH1B rs1229984 is related to 6 of the 11 DSM-IV AUD criteria and that alcohol consumption explained a significant proportion of these associations and the association of ADH1B with AUDs. Better understanding of the relationship between ADH1B and the DSM-IV AUD criteria, including effects through consumption, will enhance our understanding of the etiologic model through which AUDs can occur.
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Affiliation(s)
- Bari Kilcoyne
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Dvora Shmulewitz
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, New York, New York State Psychiatric Institute, New York, New York
| | - Jacquelyn L Meyers
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Efrat Aharonovich
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, New York, New York State Psychiatric Institute, New York, New York
| | | | - Amos Frisch
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel, Felsenstein Medical Research Center, Petach Tikva, Israel
| | - Abraham Weizman
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel, Felsenstein Medical Research Center, Petach Tikva, Israel, Research Unit, Geha Mental Health Center, Petach Tikva, Israel
| | - Baruch Spivak
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Howard J Edenberg
- Departments of Biochemistry and Molecular Biology, Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana
| | - Joel Gelernter
- Departments of Psychiatry, Genetics and Neurobiology, Yale University School of Medicine, New Haven, Connecticut
| | - Deborah S Hasin
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, New York, New York State Psychiatric Institute, New York, New York
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Sartor CE, Wang Z, Xu K, Kranzler HR, Gelernter J. The joint effects of ADH1B variants and childhood adversity on alcohol related phenotypes in African-American and European-American women and men. Alcohol Clin Exp Res 2014; 38:2907-14. [PMID: 25410943 DOI: 10.1111/acer.12572] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2014] [Accepted: 09/06/2014] [Indexed: 11/30/2022]
Abstract
BACKGROUND The ADH1B gene has consistently been implicated in problem drinking, but rarely incorporated into gene by environment investigations of alcohol phenotypes. This study examined the joint effects of variation in ADH1B and childhood adversity-a well-documented risk factor for alcohol problems and moderator of genetic liability to psychiatric outcomes-on maximum drinks consumed in a 24-hour period (maxdrinks) and alcohol use disorder (AUD) symptoms. METHODS Data were drawn from 2,617 African-American (AA) and 1,436 European-American (EA) participants (42% female) in a multisite genetic study of substance dependence. We tested the most significant ADH1B single nucleotide polymorphisms for alcohol dependence from a genomewide association study with this sample, ADH1B-rs1229984 (Arg48His) and ADH1B-rs2066702 (Arg370Cys), in EA and AA subsamples, respectively. RESULTS Ordinal regression analyses conducted separately by sex and population revealed significant main effects for childhood adversity for both alcohol phenotypes in AA women and men and for maxdrinks in EA women. A significant rs1229984 by childhood adversity interaction was observed for AUD symptoms in EA men. Unexposed His-allele carriers reported a mean of 3.6 AUD criteria, but adversity-exposed His-allele carriers endorsed approximately the same number (6.3) as those without the protective allele (6.3 and 7.0 for adversity-exposed and -unexposed groups, respectively). CONCLUSIONS Results suggest that under conditions of childhood adversity, the His allele does not exert its protective effects in EA men (OR = 0.57, CI: 0.32 to 1.01; p = 0.056). Findings highlight the robust risk effect conferred by childhood adversity and the importance of considering population and sex in genetically informative investigations of its association with alcohol outcomes.
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Affiliation(s)
- Carolyn E Sartor
- Department of Psychiatry , Yale University School of Medicine, New Haven, Connecticut
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Ma Y, Yuan W, Jiang X, Cui WY, Li MD. Updated findings of the association and functional studies of DRD2/ANKK1 variants with addictions. Mol Neurobiol 2014; 51:281-99. [PMID: 25139281 DOI: 10.1007/s12035-014-8826-2] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2014] [Accepted: 06/01/2014] [Indexed: 02/06/2023]
Abstract
Both nicotine and alcohol addictions are severe public health hazards worldwide. Various twin and family studies have demonstrated that genetic factors contribute to vulnerability to these addictions; however, the susceptibility genes and the variants underlying them remain largely unknown. Of susceptibility genes investigated for addictions, DRD2 has received much attention. Considering new evidence supporting the association of DRD2 and its adjacent gene ankyrin repeat and kinase domain containing 1 (ANKK1) with various addictions, in this paper, we provide an updated view of the involvement of variants in DRD2 and ANKK1 in the etiology of nicotine dependence (ND) and alcohol dependence (AD) based on linkage, association, and molecular studies. This evidence shows that both genes are significantly associated with addictions; however the association with ANKK1 appears to be stronger. Thus, both more replication studies in independent samples and functional studies of some of these variants are warranted.
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Affiliation(s)
- Yunlong Ma
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University School of Medicine, Hangzhou, China
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Vaht M, Merenäkk L, Mäestu J, Veidebaum T, Harro J. Serotonin transporter gene promoter polymorphism (5-HTTLPR) and alcohol use in general population: interaction effect with birth cohort. Psychopharmacology (Berl) 2014; 231:2587-94. [PMID: 24408213 DOI: 10.1007/s00213-013-3427-8] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2013] [Accepted: 12/20/2013] [Indexed: 12/16/2022]
Abstract
RATIONALE AND OBJECTIVE Prevalence of alcohol use is markedly influenced by socioeconomic conditions and is therefore subject to cohort effects. The common genetic variation 5-HTTLPR (serotonin transporter gene-linked polymorphic region) has been related to several aspects of alcohol use and addiction but with mixed results, probably due to different environmental interaction effects. We aimed at assessing whether the association between alcohol use and 5-HTTLPR genotype is subject to cohort effects as birth cohorts may be raised in significantly different environments. METHODS We used the database of the Estonian Children Personality Behaviour and Health Study (beginning in 1998). Cohorts of initially 9-year-old (recalled at ages 15 and 18) and 15-year-old (recalled at ages 18 and 25) children provided self-reports on their alcohol use in all data collection waves (complete data available n = 1,075). RESULTS A significant genotype × gender × cohort interaction effect on the age of consuming the first alcoholic drink was found [F(2, 1,063) = 7.2, p < 0.001]. Females with the s/s genotype in the older cohort were the latest experimenters with alcohol, while the s/s females of younger cohort had tried alcohol earlier than any other group. In males, there was no significant cohort × genotype interaction, but the 5-HTTLPR genotype was associated with alcohol use, the s/s subjects reporting the highest consumption. CONCLUSION Expression of genetic vulnerability to alcohol use is influenced by birth cohort effects. The 5-HTTLPR genotype is associated with alcohol consumption in general population, but the effect depends on gender and birth cohort.
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Affiliation(s)
- Mariliis Vaht
- Department of Psychology, Estonian Centre of Behavioural and Health Sciences, University of Tartu, Tartu, Estonia
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Kos MZ, Glahn DC, Carless MA, Olvera R, McKay DR, Quillen EE, Gelernter J, Chen XD, Deng HW, Kent JW, Dyer TD, Göring HH, Curran JE, Duggirala R, Blangero J, Almasy L. Novel QTL at chromosome 6p22 for alcohol consumption: Implications for the genetic liability of alcohol use disorders. Am J Med Genet B Neuropsychiatr Genet 2014; 165B:294-302. [PMID: 24692236 PMCID: PMC4172449 DOI: 10.1002/ajmg.b.32231] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2013] [Accepted: 03/10/2014] [Indexed: 02/01/2023]
Abstract
Linkage studies of alcoholism have implicated several chromosome regions, leading to the successful identification of susceptibility genes, including ADH4 and GABRA2 on chromosome 4. Quantitative endophenotypes that are potentially closer to gene action than clinical endpoints offer a means of obtaining more refined linkage signals of genes that predispose alcohol use disorders (AUD). In this study we examine a self-reported measure of the maximum number of drinks consumed in a 24-hr period (abbreviated Max Drinks), a significantly heritable phenotype (h(2) = 0.32 ± 0.05; P = 4.61 × 10(-14)) with a strong genetic correlation with AUD (ρg = 0.99 ± 0.13) for the San Antonio Family Study (n = 1,203). Genome-wide SNPs were analyzed using variance components linkage methods in the program SOLAR, revealing a novel, genome-wide significant QTL (LOD = 4.17; P = 5.85 × 10(-6)) for Max Drinks at chromosome 6p22.3, a region with a number of compelling candidate genes implicated in neuronal function and psychiatric illness. Joint analysis of Max Drinks and AUD status shows that the QTL has a significant non-zero effect on diagnosis (P = 4.04 × 10(-3)), accounting for 8.6% of the total variation. Significant SNP associations for Max Drinks were also identified at the linkage region, including one, rs7761213 (P = 2.14 × 10(-4)), obtained for an independent sample of Chinese families. Thus, our study identifies a potential risk locus for AUD at 6p22.3, with significant pleiotropic effects on the heaviness of alcohol consumption that may not be population specific.
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Affiliation(s)
- Mark Z. Kos
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA,Correspondence to: Dr. M.Z. Kos, Department of Genetics, Texas Biomedical Research Institute, 7620 N.W. Loop 410, San Antonio, TX 78227, USA,
| | - David C. Glahn
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, Hartford, CT, USA
| | - Melanie A. Carless
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Rene Olvera
- Department of Psychiatry, University of Texas Health Science Center, San Antonio, TX, USA
| | - D. Reese McKay
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, Hartford, CT, USA
| | - Ellen E. Quillen
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Joel Gelernter
- Department of Psychiatry, Yale University School of Medicine, West Haven, CT, USA
| | - Xiang-Ding Chen
- College of Life Sciences, Hunan Normal University, Changsha, Hunan, China
| | - Hong-Wen Deng
- School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Jack W. Kent
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Thomas D. Dyer
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Harald H.H. Göring
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Joanne E. Curran
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Ravi Duggirala
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - John Blangero
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Laura Almasy
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA
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Quillen EE, Chen XD, Almasy L, Yang F, He H, Li X, Wang XY, Liu TQ, Hao W, Deng HW, Kranzler HR, Gelernter J. ALDH2 is associated to alcohol dependence and is the major genetic determinant of "daily maximum drinks" in a GWAS study of an isolated rural Chinese sample. Am J Med Genet B Neuropsychiatr Genet 2014; 165B:103-10. [PMID: 24277619 PMCID: PMC4149216 DOI: 10.1002/ajmg.b.32213] [Citation(s) in RCA: 95] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2013] [Accepted: 10/21/2013] [Indexed: 01/30/2023]
Abstract
Alcohol dependence (AD) is a moderately heritable phenotype with a small number of known risk genes mapped via linkage or candidate gene studies. We considered 313 males from among 595 members of documented, extended pedigrees in which AD segregates collected in Northern Hunan Province, China. A joint analysis of both males and females could not be performed as the difference in alcohol consumption variance was too large. Genome-wide association analyses were performed for approximately 300,000 single nucleotide polymorphisms (SNPs). Significant associations found in the ALDH2 region for AD (minimum P = 4.73 × 10(-8)) and two AD-related phenotypes: flushing response (minimum P = 4.75 × 10(-26)) and maximum drinks in a 24-hr period (minimum P = 1.54 × 10(-16)). Association of previous candidate SNP, rs10774610 in CCDC63, was confirmed but resulted from linkage disequilibrium with ALDH2. ALDH2 is strongly associated with flushing response, AD, and maximum drinks in males, with nonsynonymous SNP rs671 explaining 29.2%, 7.9%, and 22.9% of phenotypic variation, respectively, in this sample. When rs671 was considered as a candidate SNP in females, it explained 23.6% of the variation in flushing response, but alcohol consumption rates were too low among females-despite familial enrichment for AD-for an adequate test of association for either AD or maximum drinks. These results support a mediating effect of aldehyde dehydrogenase deficiency on alcohol consumption in males and a secondary, culturally mediated limitation on alcohol consumption by females that should be appropriately modeled in future studies of alcohol consumption in populations where this may be a factor.
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Affiliation(s)
- Ellen E Quillen
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, Texas
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Irons DE, Iacono WG, Oetting WS, Kirkpatrick RM, Vrieze SI, Miller MB, McGue M. Gamma-aminobutyric acid system genes--no evidence for a role in alcohol use and abuse in a community-based sample. Alcohol Clin Exp Res 2014; 38:938-47. [PMID: 24460875 DOI: 10.1111/acer.12352] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2013] [Accepted: 11/13/2013] [Indexed: 12/17/2022]
Abstract
BACKGROUND While twin and adoption studies point to substantial genetic influence upon alcohol use, dependence, and other alcohol-related phenotypes, few of the genes underlying variation in these phenotypes have been identified. Markers in genes related to GABAergic activity-a system integral to many of alcohol's biological effects-have been implicated in alcohol use and alcohol-related psychopathology in linkage and association studies. METHODS Using multiple methods, we conducted a comprehensive examination of the effects of markers in γ-aminobutyric acid (GABA) system genes in a community-based sample of 7,224 individuals assessed in early and middle adulthood. In addition to testing the effect of individual single nucleotide polymorphism (SNP) markers on alcohol-related phenotypes, we computed a polygenic score reflecting the aggregated effects of multiple GABA system SNPs. We also estimated the variance in alcohol-related phenotypes attributable to all GABA system markers considered simultaneously and conducted gene-based association tests. RESULTS No method produced results indicative of an effect of GABA system variants on measures of alcohol use or misuse. CONCLUSIONS These results reflect alcohol-related behaviors in a population-representative sample, many of whom are still in adolescence, and in which the incidence of heavy drinking and alcohol-related symptomatology are relatively low. Contrasted with existing studies of the association between alcohol use and GABA system genes, our results suggest that the relationship may be limited to particular contexts, such as when accompanied by polysubstance abuse or a familial history of alcoholism.
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Affiliation(s)
- Daniel E Irons
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota
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Wang JC, Foroud T, Hinrichs AL, Le NXH, Bertelsen S, Budde JP, Harari O, Koller DL, Wetherill L, Agrawal A, Almasy L, Brooks AI, Bucholz K, Dick D, Hesselbrock V, Johnson EO, Kang S, Kapoor M, Kramer J, Kuperman S, Madden PAF, Manz N, Martin NG, McClintick JN, Montgomery GW, Nurnberger JI, Rangaswamy M, Rice J, Schuckit M, Tischfield JA, Whitfield JB, Xuei X, Porjesz B, Heath AC, Edenberg HJ, Bierut LJ, Goate AM. A genome-wide association study of alcohol-dependence symptom counts in extended pedigrees identifies C15orf53. Mol Psychiatry 2013; 18:1218-24. [PMID: 23089632 PMCID: PMC3752321 DOI: 10.1038/mp.2012.143] [Citation(s) in RCA: 65] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2011] [Revised: 07/26/2012] [Accepted: 09/04/2012] [Indexed: 11/09/2022]
Abstract
Several studies have identified genes associated with alcohol-use disorders (AUDs), but the variation in each of these genes explains only a small portion of the genetic vulnerability. The goal of the present study was to perform a genome-wide association study (GWAS) in extended families from the Collaborative Study on the Genetics of Alcoholism to identify novel genes affecting risk for alcohol dependence (AD). To maximize the power of the extended family design, we used a quantitative endophenotype, measured in all individuals: number of alcohol-dependence symptoms endorsed (symptom count (SC)). Secondary analyses were performed to determine if the single nucleotide polymorphisms (SNPs) associated with SC were also associated with the dichotomous phenotype, DSM-IV AD. This family-based GWAS identified SNPs in C15orf53 that are strongly associated with DSM-IV alcohol-dependence symptom counts (P=4.5 × 10(-8), inflation-corrected P=9.4 × 10(-7)). Results with DSM-IV AD in the regions of interest support our findings with SC, although the associations were less significant. Attempted replications of the most promising association results were conducted in two independent samples: nonoverlapping subjects from the Study of Addiction: Genes and Environment (SAGE) and the Australian Twin Family Study of AUDs (OZALC). Nominal association of C15orf53 with SC was observed in SAGE. The variant that showed strongest association with SC, rs12912251 and its highly correlated variants (D'=1, r(2) 0.95), have previously been associated with risk for bipolar disorder.
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Affiliation(s)
- Jen-Chyong Wang
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Anthony L Hinrichs
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO
| | - Nhung XH Le
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO
| | - Sarah Bertelsen
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO
| | - John P Budde
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO
| | - Oscar Harari
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO
| | - Daniel L Koller
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Leah Wetherill
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO
| | - Laura Almasy
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX
| | | | - Kathleen Bucholz
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO
| | - Danielle Dick
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA
| | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut Health Center, Farmington, CT
| | - Eric O Johnson
- Division of Health, Social and Economic Research, Research Triangle Institute International, Research Triangle Park, NC
| | - Sun Kang
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY
| | - Manav Kapoor
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO
| | - John Kramer
- Department of Psychiatry, University of Iowa College of Medicine, Iowa City, IA
| | - Samuel Kuperman
- Division of Child Psychiatry, University of Iowa Hospitals, Iowa City, IA
| | - Pamela AF Madden
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO
| | - Niklas Manz
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY
| | | | - Jeanette N McClintick
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN
| | | | - John I Nurnberger
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN
| | - Madhavi Rangaswamy
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY
| | - John Rice
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO
| | - Marc Schuckit
- Department of Psychiatry, University of California-San Diego, La Jolla, CA
| | - Jay A Tischfield
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX
| | | | - Xiaoling Xuei
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN
| | - Bernice Porjesz
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY
| | - Andrew C Heath
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO
| | - Howard J Edenberg
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN
| | - Laura J Bierut
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO
| | - Alison M Goate
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO
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Pan Y, Luo X, Liu X, Wu LY, Zhang Q, Wang L, Wang W, Zuo L, Wang KS. Genome-wide association studies of maximum number of drinks. J Psychiatr Res 2013; 47:1717-24. [PMID: 23953852 PMCID: PMC4286179 DOI: 10.1016/j.jpsychires.2013.07.013] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2013] [Revised: 06/25/2013] [Accepted: 07/18/2013] [Indexed: 12/21/2022]
Abstract
Maximum number of drinks (MaxDrinks) defined as "Maximum number of alcoholic drinks consumed in a 24-h period" is an intermediate phenotype that is closely related to alcohol dependence (AD). Family, twin and adoption studies have shown that the heritability of MaxDrinks is approximately 0.5. We conducted the first genome-wide association (GWA) study and meta-analysis of MaxDrinks as a continuous phenotype. 1059 individuals were from the Collaborative Study on the Genetics of Alcoholism (COGA) sample and 1628 individuals were from the Study of Addiction - Genetics and Environment (SAGE) sample. Family sample with 3137 individuals was from the Australian twin-family study of alcohol use disorder (OZALC). Two population-based Caucasian samples (COGA and SAGE) with 1 million single-nucleotide polymorphisms (SNPs) were used for gene discovery and one family-based Caucasian sample was used for replication. Through meta-analysis we identified 162 SNPs associated with MaxDirnks (p < 10(-4)). The most significant association with MaxDrinks was observed with SNP rs11128951 (p = 4.27 × 10(-8)) near SGOL1 gene at 3p24.3. Furthermore, several SNPs (rs17144687 near DTWD2, rs12108602 near NDST4, and rs2128158 in KCNB2) showed significant associations with MaxDrinks (p < 5 × 10(-7)) in the meta-analysis. Especially, 8 SNPs in DDC gene showed significant associations with MaxDrinks (p < 5 × 10(-7)) in the SAGE sample. Several flanking SNPs in above genes/regions were confirmed in the OZALC family sample. In conclusions, we identified several genes/regions associated with MaxDrinks. These findings can improve the understanding about the pathogenesis of alcohol consumption phenotypes and alcohol-related disorders.
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Affiliation(s)
- Yue Pan
- Department of Biostatistics and Epidemiology, College of Public Health, East Tennessee State University, Johnson City, TN, USA
- Department of Epidemiology and Public Health, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Xingguang Luo
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Xuefeng Liu
- Department of Biostatistics and Epidemiology, College of Public Health, East Tennessee State University, Johnson City, TN, USA
| | - Long-Yang Wu
- The Jackson Laboratory, 600 Main Street, Bar Harbor, ME 04609 USA
| | - Qunyuan Zhang
- Division of Statistical Genomics, Washington University School of Medicine, St. Louis, MO, USA
| | - Liang Wang
- Department of Biostatistics and Epidemiology, College of Public Health, East Tennessee State University, Johnson City, TN, USA
| | - Weize Wang
- Department of Epidemiology and Public Health, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Lingjun Zuo
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Ke-Sheng Wang
- Department of Biostatistics and Epidemiology, College of Public Health, East Tennessee State University, Johnson City, TN, USA
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Kapoor M, Wang JC, Wetherill L, Le N, Bertelsen S, Hinrichs AL, Budde J, Agrawal A, Bucholz K, Dick D, Harari O, Hesselbrock V, Kramer J, Nurnberger JI, Rice J, Saccone N, Schuckit M, Tischfield J, Porjesz B, Edenberg HJ, Bierut L, Foroud T, Goate A. A meta-analysis of two genome-wide association studies to identify novel loci for maximum number of alcoholic drinks. Hum Genet 2013; 132:1141-51. [PMID: 23743675 PMCID: PMC3776011 DOI: 10.1007/s00439-013-1318-z] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2013] [Accepted: 05/22/2013] [Indexed: 10/26/2022]
Abstract
Maximum number of alcoholic drinks consumed in a 24-h period (maxdrinks) is a heritable (>50 %) trait and is strongly correlated with vulnerability to excessive alcohol consumption and subsequent alcohol dependence (AD). Several genome-wide association studies (GWAS) have studied alcohol dependence, but few have concentrated on excessive alcohol consumption. We performed two GWAS using maxdrinks as an excessive alcohol consumption phenotype: one in 118 extended families (N = 2,322) selected from the Collaborative Study on the Genetics of Alcoholism (COGA), and the other in a case-control sample (N = 2,593) derived from the Study of Addiction: Genes and Environment (SAGE). The strongest association in the COGA families was detected with rs9523562 (p = 2.1 × 10(-6)) located in an intergenic region on chromosome 13q31.1; the strongest association in the SAGE dataset was with rs67666182 (p = 7.1 × 10(-7)), located in an intergenic region on chromosome 8. We also performed a meta-analysis with these two GWAS and demonstrated evidence of association in both datasets for the LMO1 (p = 7.2 × 10(-7)) and PLCL1 genes (p = 4.1 × 10(-6)) with maxdrinks. A variant in AUTS2 and variants in INADL, C15orf32 and HIP1 that were associated with measures of alcohol consumption in a meta-analysis of GWAS studies and a GWAS of alcohol consumption factor score also showed nominal association in the current meta-analysis. The present study has identified several loci that warrant further examination in independent samples. Among the top SNPs in each of the dataset (p ≤ 10(-4)) far more showed the same direction of effect in the other dataset than would be expected by chance (p = 2 × 10(-3), 3 × 10(-6)), suggesting that there are true signals among these top SNPs, even though no SNP reached genome-wide levels of significance.
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Affiliation(s)
- Manav Kapoor
- Department of Psychiatry, B8134, Washington University School of Medicine, 660 S. Euclid Ave., St. Louis, MO, 63110, USA
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42
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Edwards AC, Kendler KS. Alcohol consumption in men is influenced by qualitatively different genetic factors in adolescence and adulthood. Psychol Med 2013; 43:1857-1868. [PMID: 23282961 PMCID: PMC3670965 DOI: 10.1017/s0033291712002917] [Citation(s) in RCA: 26] [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] [Indexed: 11/06/2022]
Abstract
BACKGROUND Alcohol consumption is influenced by genetic factors. Previous studies have examined the heritability of alcohol consumption, or related phenotypes, from adolescence into adulthood, frequently finding that total heritability changes over time. However, it remains unclear whether the same genes underlie liability to alcohol consumption across development versus whether novel risk genes become important over time. Method A population-based study of adult male twins (n=1790) born in Virginia, USA, retrospectively reported on their average monthly alcohol consumption from early adolescence through adulthood. We used twin modeling methods to explore genetic and environmental influences on alcohol consumption over time. RESULTS One latent genetic factor accounted for the majority of the heritability in alcohol consumption during mid- to late adolescence, but its influence declined thereafter; from young adulthood forward, heritability was largely attributable to a second genetic factor. The total heritability of alcohol consumption increased from 0 at ages 12-14 years to 0.40 by ages 18-21 years. Shared environmental factors declined in influence over time. CONCLUSIONS The heritability of alcohol consumption over time is dynamic both quantitatively and qualitatively. These results have important implications for gene identification endeavors. Furthermore, these findings could inform efforts to elucidate developmentally dynamic behaviors, such as antisocial behavior.
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Affiliation(s)
- A C Edwards
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA 23298-0126, USA.
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43
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McRae AF, Richter MM, Lind PA. Case-control association testing of common variants from sequencing of DNA pools. PLoS One 2013; 8:e65410. [PMID: 23762362 PMCID: PMC3676437 DOI: 10.1371/journal.pone.0065410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2013] [Accepted: 04/25/2013] [Indexed: 12/05/2022] Open
Abstract
While genome-wide association studies (GWAS) have been successful in identifying a large number of variants associated with disease, the challenge of locating the underlying causal loci remains. Sequencing of case and control DNA pools provides an inexpensive method for assessing all variation in a genomic region surrounding a significant GWAS result. However, individual variants need to be ranked in terms of the strength of their association to disease in order to prioritise follow-up by individual genotyping. A simple method for testing for case-control association in sequence data from DNA pools is presented that allows the partitioning of the variance in allele frequency estimates into components due to the sampling of chromosomes from the pool during sequencing, sampling individuals from the population and unequal contribution from individuals during pool construction. The utility of this method is demonstrated on a sequence from the alcohol dehydrogenase (ADH) gene cluster on a case-control sample for heavy alcohol consumption.
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Affiliation(s)
- Allan F McRae
- University of Queensland Diamantina Institute, Brisbane, Australia.
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44
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Aragam N, Wang KS, Anderson JL, Liu X. TMPRSS9 and GRIN2B are associated with neuroticism: a genome-wide association study in a European sample. J Mol Neurosci 2013; 50:250-6. [PMID: 23229837 DOI: 10.1007/s12031-012-9931-1] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2012] [Accepted: 11/26/2012] [Indexed: 12/31/2022]
Abstract
Major depression disorder (MDD) is a complex and chronic disease that ranks fourth as cause of disability worldwide. About 14 million adults in the USA are believed to have MDD, and an estimated 75 % attempt suicide making MDD a major public health problem. Neuroticism has been recognized as an endophenotype of MDD; however, few genome-wide association (GWA) analyses of neuroticism as a quantitative trait have been reported to date. The aim of this study is to identify genome-wide genetic variants affecting neuroticism using a European sample. A linear regression model was used to analyze the association with neuroticism as a continuous trait in the Netherlands Study of Depression and Anxiety and Netherlands Twin Registry population-based sample of 2,748 individuals with Perlegen 600K single nucleotide polymorphisms (SNPs). In addition, the neuroticism-associated genes/loci of the top 20 SNPs (p < 10⁻⁴) were examined with anti-social personality disorder (ASPD) in an Australian twin family study. Through GWA analysis, 32 neuroticism-associated SNPs (p < 10⁻⁴) were identified. The most significant association was observed with SNP rs4806846 within the TMPRSS9 gene (p = 7.79 × 10⁻⁶) at 19p13.3. The next best signal was in GRIN2B gene (rs220549, p = 1.05 × 10⁻⁵) at 12p12. In addition, several SNPs within GRIN2B showed borderline associations with ASPD in the Australian sample. In conclusion, these results provide a possible genetic basis for the association with neuroticism. Our findings provide a basis for replication in other populations to elucidate the potential role of these genetic variants in neuroticism and MDD along with a possible relationship between ASPD and neuroticism.
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Affiliation(s)
- Nagesh Aragam
- Department of Biostatistics and Epidemiology, College of Public Health, East Tennessee State University, PO Box 70259, Lamb Hall, Johnson City, TN 37614-1700, USA
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Meyers JL, Nyman E, Loukola A, Rose RJ, Kaprio J, Dick DM. The association between DRD2/ANKK1 and genetically informed measures of alcohol use and problems. Addict Biol 2013; 18:523-36. [PMID: 22970887 PMCID: PMC3522787 DOI: 10.1111/j.1369-1600.2012.00490.x] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
In 1990, Blum and colleagues first reported an association between DRD2 and alcoholism. While there have been subsequent replications of this genetic association, there have also been numerous studies that failed to detect an association between DRD2 and alcohol dependence. We propose that one aspect contributing to this inconsistency is the variation in alcohol phenotype used across studies. Within the population-based Finnish twin sample, FinnTwin16, we previously performed multivariate twin analyses to extract latent genetic factors, which account for the variation across seven measures of alcohol consumption (frequency of drinking, frequency × quantity, frequency of heavy drinking, frequency of intoxication and maximum drinks in a 24-hour period) and problems (the Rutgers Alcohol Problem Index-RAPI and the Mälmö-modified Michigan Alcohol Screen Test-MmMAST) in 3065 twins. In the present study, we examined the association between 31 DRD2/ANKK1 single-nucleotide polymorphisms (SNPs) and the genetic factor scores generated by twin analyses in a subset of FinnTwin16 (n = 602). We focus on two of the genetic factors: a general alcohol consumption and problems factor score, which represents shared genetic variance across alcohol measures, and a alcohol problems genetic factor score, which loads onto the two indices of problematic drinking (MAST and RAPI). After correction for multiple testing across SNPs and phenotypes, of the 31 SNPs genotyped across DRD2/ANKK1, one SNP (rs10891549) showed significant association with the general alcohol consumption and problems factor score (P = 0.004), and four SNPs (rs10891549, rs1554929, rs6275, rs6279), representing two independent signals after accounting for linkage disequilibrium, showed significant association with the alcohol problems genetic factor score (P = 0.005, P = 0.005, P = 0.003, P = 0.003). In this study, we provide additional positive evidence for the association between DRD2/ANKK1 and alcohol outcomes, including frequency of drinking and drinking problems. Additionally, post hoc analyses indicate stronger association signals using genetic factor scores than individual measures, which suggest that accounting for the genetic architecture of the alcohol measures reduces genetic heterogeneity in alcohol dependence outcomes in this sample and enhances the ability to detect association.
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Affiliation(s)
| | - Emma Nyman
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, Finland
| | - Anu Loukola
- Department of Public Health, Hjelt Institute, University of Helsinki, Finland
- Department of Mental Health and Substance Abuse Services, National Institute for Health and Welfare, Helsinki, Finland
| | - Richard J. Rose
- Department of Psychological & Brain Sciences, Indiana University, Bloomington
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, Finland
- Department of Public Health, Hjelt Institute, University of Helsinki, Finland
- Department of Mental Health and Substance Abuse Services, National Institute for Health and Welfare, Helsinki, Finland
| | - Danielle M. Dick
- Virginia Institute of Psychiatric and Behavioral Genetics, Richmond
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46
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Genes, environments, and developmental research: methods for a multi-site study of early substance abuse. Twin Res Hum Genet 2013; 16:505-15. [PMID: 23461817 DOI: 10.1017/thg.2013.6] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
The importance of including developmental and environmental measures in genetic studies of human pathology is widely acknowledged, but few empirical studies have been published. Barriers include the need for longitudinal studies that cover relevant developmental stages and for samples large enough to deal with the challenge of testing gene-environment-development interaction. A solution to some of these problems is to bring together existing data sets that have the necessary characteristics. As part of the National Institute on Drug Abuse-funded Gene-Environment-Development Initiative, our goal is to identify exactly which genes, which environments, and which developmental transitions together predict the development of drug use and misuse. Four data sets were used of which common characteristics include (1) general population samples, including males and females; (2) repeated measures across adolescence and young adulthood; (3) assessment of nicotine, alcohol, and cannabis use and addiction; (4) measures of family and environmental risk; and (5) consent for genotyping DNA from blood or saliva. After quality controls, 2,962 individuals provided over 15,000 total observations. In the first gene-environment analyses, of alcohol misuse and stressful life events, some significant gene-environment and gene-development effects were identified. We conclude that in some circumstances, already collected data sets can be combined for gene-environment and gene-development analyses. This greatly reduces the cost and time needed for this type of research. However, care must be taken to ensure careful matching across studies and variables.
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47
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Crabbe JC, Kendler KS, Hitzemann RJ. Modeling the diagnostic criteria for alcohol dependence with genetic animal models. Curr Top Behav Neurosci 2013; 13:187-221. [PMID: 21910077 PMCID: PMC3371181 DOI: 10.1007/7854_2011_162] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
A diagnosis of alcohol dependence (AD) using the DSM-IV-R is categorical, based on an individual's manifestation of three or more symptoms from a list of seven. AD risk can be traced to both genetic and environmental sources. Most genetic studies of AD risk implicitly assume that an AD diagnosis represents a single underlying genetic factor. We recently found that the criteria for an AD diagnosis represent three somewhat distinct genetic paths to individual risk. Specifically, heavy use and tolerance versus withdrawal and continued use despite problems reflected separate genetic factors. However, some data suggest that genetic risk for AD is adequately described with a single underlying genetic risk factor. Rodent animal models for alcohol-related phenotypes typically target discrete aspects of the complex human AD diagnosis. Here, we review the literature derived from genetic animal models in an attempt to determine whether they support a single-factor or multiple-factor genetic structure. We conclude that there is modest support in the animal literature that alcohol tolerance and withdrawal reflect distinct genetic risk factors, in agreement with our human data. We suggest areas where more research could clarify this attempt to align the rodent and human data.
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Affiliation(s)
- John C Crabbe
- Portland Alcohol Research Center, Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR 97239, USA.
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48
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Distel MA, Trull TJ, de Moor MMH, Vink JM, Geels LM, van Beek JHDA, Bartels M, Willemsen G, Thiery E, Derom CA, Neale MC, Boomsma DI. Borderline personality traits and substance use: genetic factors underlie the association with smoking and ever use of cannabis, but not with high alcohol consumption. J Pers Disord 2012; 26:867-79. [PMID: 23281672 PMCID: PMC3744119 DOI: 10.1521/pedi.2012.26.6.867] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Borderline personality disorder (BPD) and substance use disorders often co-occur. Both disorders are heritable and family studies showed that there are familial factors that increase the risk for BPD as well as substance use/abuse. This is the first study that investigates whether the association of borderline personality traits (BPT) with substance use reflects an underlying genetic vulnerability or nongenetic familial influences. To this end we analyzed data of 5,638 Dutch and Belgian twins aged between 21-50 years from 3,567 families. Significant associations between BPT and high alcohol consumption (r = .192), regular smoking (r = .299), and ever use of cannabis (r = .254) were found. Bivariate genetic analyses showed that the associations of BPT and substance use had different etiologies. For regular smoking and for ever use of cannabis, the correlation with BPT was explained by common genetic factors. Interestingly, for high alcohol consumption and BPT the association was explained by unique environmental factors that influence both traits rather than common genetic factors.
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Affiliation(s)
- Marijn A Distel
- VU University Amsterdam, Department of Biological Psychology, van der Boechorststraat 1, 1081 BT Amsterdam, The Netherlands.
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49
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Abstract
Alcohol consumption dates back to the Neolithic period, and alcohol dependence contributes substantially to the current global burden of disease. Despite this, optimal therapies and preventive strategies are lacking. Formal genetic studies of alcohol dependence have shown that genetic factors play as large a role in disease etiology as environmental factors. Molecular genetic studies may identify causal factors and facilitate the development of novel preventive and therapeutic approaches. Whereas earlier studies involved the use of linkage- and candidate-gene approaches, recent years have witnessed the introduction of genome-wide association studies (GWAS). The present review provides a brief overview of the findings of formal genetic studies, summarizes the results of earlier molecular-genetic investigations, and presents a detailed overview of all published GWAS in the field of alcohol dependence research. To date, few genome-wide significant findings have been reported. However, through the polygenic approach, GWAS have both confirmed the existence of a multitude of novel risk genes and indicated interesting new candidates.
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Affiliation(s)
- Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health Mannheim, University Medical Center Mannheim, University of Heidelberg, Germany.
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50
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McCutcheon VV, Grant JD, Heath AC, Bucholz KK, Sartor CE, Nelson EC, Madden PAF, Martin NG. Environmental influences predominate in remission from alcohol use disorder in young adult twins. Psychol Med 2012; 42:2421-2431. [PMID: 22423619 PMCID: PMC3752317 DOI: 10.1017/s003329171200044x] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Familial influences on remission from alcohol use disorder (AUD) have been studied using family history of AUD rather than family history of remission. The current study used a remission phenotype in a twin sample to examine the relative contributions of genetic and environmental influences to remission. METHOD The sample comprised 6183 twins with an average age of 30 years from the Australian Twin Registry. Lifetime history of alcohol abuse and dependence symptoms and symptom recency were assessed with a structured telephone interview. AUD was defined broadly and narrowly as history of two or more or three or more abuse or dependence symptoms. Remission was defined as absence of symptoms at time of interview among individuals with lifetime AUD. Standard bivariate genetic analyses were conducted to derive estimates of genetic and environmental influences on AUD and remission. RESULTS Environmental influences alone accounted for remission in males and for 89% of influences on remission in females, with 11% due to genetic influences shared with AUD, which decreased the likelihood of remission. For women, more than 80% of influences on remission were distinct from influences on AUD, and environmental influences were from individual experiences only. For men, just over 50% of influences on remission were distinct from those on AUD, and the influence of environments shared with the co-twin were substantial. The results for the broad and narrow phenotypes were similar. CONCLUSIONS The current study establishes young adult remission as a phenotype distinct from AUD and highlights the importance of environmental influences on remission.
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Affiliation(s)
- V. V. McCutcheon
- Midwest Alcoholism Research Center, Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - J. D. Grant
- Midwest Alcoholism Research Center, Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - A. C. Heath
- Midwest Alcoholism Research Center, Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - K. K. Bucholz
- Midwest Alcoholism Research Center, Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - C. E. Sartor
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - E. C. Nelson
- Midwest Alcoholism Research Center, Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - P. A. F. Madden
- Midwest Alcoholism Research Center, Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - N. G. Martin
- Department of Epidemiology and Public Health, Queensland Institute for Medical Research, Brisbane, Australia
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