1
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Barr P, Neale Z, Chatzinakos C, Schulman J, Mullins N, Zhang J, Chorlian D, Kamarajan C, Kinreich S, Pandey A, Pandey G, de Viteri SS, Acion L, Bauer L, Bucholz K, Chan G, Dick D, Edenberg H, Foroud T, Goate A, Hesselbrock V, Johnson E, Kramer J, Lai D, Plawecki M, Salvatore J, Wetherill L, Agrawal A, Porjesz B, Meyers J. Clinical, genomic, and neurophysiological correlates of lifetime suicide attempts among individuals with alcohol dependence. Res Sq 2024:rs.3.rs-3894892. [PMID: 38405959 PMCID: PMC10889049 DOI: 10.21203/rs.3.rs-3894892/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Research has identified clinical, genomic, and neurophysiological markers associated with suicide attempts (SA) among individuals with psychiatric illness. However, there is limited research among those with an alcohol use disorder (AUD), despite their disproportionately higher rates of SA. We examined lifetime SA in 4,068 individuals with DSM-IV alcohol dependence from the Collaborative Study on the Genetics of Alcoholism (23% lifetime suicide attempt; 53% female; 17% Admixed African American ancestries; mean age: 38). We 1) conducted a genome-wide association study (GWAS) of SA and performed downstream analyses to determine whether we could identify specific biological pathways of risk, and 2) explored risk in aggregate across other clinical conditions, polygenic scores (PGS) for comorbid psychiatric problems, and neurocognitive functioning between those with AD who have and have not reported a lifetime suicide attempt. The GWAS and downstream analyses did not produce any significant associations. Participants with an AUD who had attempted suicide had greater rates of trauma exposure, major depressive disorder, post-traumatic stress disorder, and other substance use disorders compared to those who had not attempted suicide. Polygenic scores for suicide attempt, depression, and PTSD were associated with reporting a suicide attempt (ORs = 1.22-1.44). Participants who reported a SA also had decreased right hemispheric frontal-parietal theta and decreased interhemispheric temporal-parietal alpha electroencephalogram resting-state coherences relative to those who did not, but differences were small. Overall, individuals with alcohol dependence who report SA appear to experience a variety of severe comorbidities and elevated polygenic risk for SA. Our results demonstrate the need to further investigate suicide attempts in the presence of substance use disorders.
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Affiliation(s)
- Peter Barr
- SUNY Downstate Health Sciences University
| | - Zoe Neale
- SUNY Downstate Health Sciences University
| | | | | | | | | | | | | | | | - Ashwini Pandey
- State University of New York Downstate Health Sciences University
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Jacquelyn Meyers
- State University of New York (SUNY) Downstate Health Sciences University
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Dick DM, Balcke E, McCutcheon V, Francis M, Kuo S, Salvatore J, Meyers J, Bierut LJ, Schuckit M, Hesselbrock V, Edenberg HJ, Porjesz B, Kuperman S, Kramer J, Bucholz K. The collaborative study on the genetics of alcoholism: Sample and clinical data. Genes Brain Behav 2023; 22:e12860. [PMID: 37581339 PMCID: PMC10550787 DOI: 10.1111/gbb.12860] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 06/22/2023] [Accepted: 07/19/2023] [Indexed: 08/16/2023]
Abstract
The collaborative study on the genetics of alcoholism (COGA) is a multi-site, multidisciplinary project with the goal of identifying how genes are involved in alcohol use disorder and related outcomes, and characterizing how genetic risk unfolds across development and in conjunction with the environment and brain function. COGA is a multi-generational family-based study in which probands were recruited through alcohol treatment centers, along with a set of community comparison families. Nearly 18,000 individuals from >2200 families have been assessed over a period of over 30 years with a rich phenotypic battery that includes semi-structured psychiatric interviews and questionnaire measures, along with DNA collection and electrophysiological data on a large subset. Participants range in age from 7 to 97, with many having longitudinal assessments, providing a valuable opportunity to study alcohol use and problems across the lifespan. Here we provide an overview of data collection methods for the COGA sample, and details about sample characteristics and comorbidity. We also review key research findings that have emerged from analyses of the COGA data. COGA data are available broadly to researchers, and we hope this overview will encourage further collaboration and use of these data to advance the field.
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Affiliation(s)
- Danielle M. Dick
- Department of PsychiatryRutgers Robert Wood Johnson Medical SchoolPiscatawayNew JerseyUSA
| | - Emily Balcke
- Department of PsychiatryRutgers Robert Wood Johnson Medical SchoolPiscatawayNew JerseyUSA
| | - Vivia McCutcheon
- Department of PsychiatryWashington University School of Medicine in St. LouisSt. LouisMissouriUSA
| | - Meredith Francis
- School of Social WorkVirginia Commonwealth UniversityRichmondVirginiaUSA
| | - Sally Kuo
- Department of PsychiatryRutgers Robert Wood Johnson Medical SchoolPiscatawayNew JerseyUSA
| | - Jessica Salvatore
- Department of PsychiatryRutgers Robert Wood Johnson Medical SchoolPiscatawayNew JerseyUSA
| | - Jacquelyn Meyers
- Department of Psychiatry and Behavioral SciencesSUNY Downstate Health Sciences UniversityBrooklynNew YorkUSA
| | - Laura J. Bierut
- Department of PsychiatryWashington University School of Medicine in St. LouisSt. LouisMissouriUSA
| | - Marc Schuckit
- Department of PsychiatryUniversity of California San Diego School of MedicineLa JollaCaliforniaUSA
| | - Victor Hesselbrock
- Department of PsychiatryUniversity of Connecticut School of MedicineFarmingtonConnecticutUSA
| | - Howard J. Edenberg
- Department of Medical and Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
- Department of Biochemistry and Molecular BiologyIndiana University School of MedicineIndianapolisIndianaUSA
| | - Bernice Porjesz
- Department of Psychiatry and Behavioral SciencesSUNY Downstate Health Sciences UniversityBrooklynNew YorkUSA
| | - Samuel Kuperman
- Department of PsychiatryUniversity of Iowa Carver College of MedicineIowa CityIowaUSA
| | - John Kramer
- Department of PsychiatryUniversity of Iowa Carver College of MedicineIowa CityIowaUSA
| | - Kathleen Bucholz
- Department of PsychiatryWashington University School of Medicine in St. LouisSt. LouisMissouriUSA
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Schuckit MA, Smith TL, Danko G, Tear J, Hennies J, Mendoza LA, Hesselbrock V, Edenberg HJ, Hesselbrock M, Bucholz K, Chan G, Kuperman S, Francis MW, Plawecki MH. Changes over time in endorsement of 11 DSM-IV alcohol use disorder (AUD) criteria in young adults with persistent or recurrent AUD in The Collaborative Study on the Genetics of Alcoholism. Alcohol Clin Exp Res (Hoboken) 2023; 47:919-929. [PMID: 36924463 PMCID: PMC10308878 DOI: 10.1111/acer.15054] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 01/12/2023] [Accepted: 02/28/2023] [Indexed: 03/18/2023]
Abstract
BACKGROUND Endorsement of specific Diagnostic and Statistical Manual of Mental Disorders, 4th Edition (DSM-IV) alcohol use disorder (AUD) criteria have been shown to change significantly over time in men in their thirties who have persistent or recurrent AUD. However, few studies have documented whether the endorsement of AUD items changes over time in younger individuals or in women. We evaluated changes in the endorsement of AUD criteria in 377 men and women with persistent or recurrent AUD during their twenties. METHODS Information on AUD-item endorsement over time was available for 223 men and 154 women aged 20-25 with persistent or recurrent AUD in at least three interviews in the Collaborative Study on the Genetics of Alcoholism. The statistical significance of endorsement changes over time was evaluated using the related-sample Cochran's Q test for the full sample and for men and women separately. Additional analyses evaluated sex differences in the patterns of change. RESULTS In the full sample, the predominant pattern was for a significant increase in the rates of endorsement for six of the seven alcohol dependence criteria but not in the four abuse criteria. A similar pattern was seen within men, but women had significant changes in only three of the seven dependence criteria. CONCLUSIONS Endorsement of the seven alcohol dependence criteria among individuals with persistent or recurrent AUD in their twenties generally increased, but few changes were observed in the rates of endorsement of the four abuse criteria. These results are discussed in terms of how they reflect on the nature of AUD and the DSM criteria.
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Affiliation(s)
- Marc A Schuckit
- University of California, San Diego, 8950 Villa La Jolla Drive. Suite B-218, La Jolla, California, 92037, USA
| | - Tom L Smith
- University of California, San Diego, 8950 Villa La Jolla Drive. Suite B-218, La Jolla, California, 92037, USA
| | - George Danko
- University of California, San Diego, 8950 Villa La Jolla Drive. Suite B-218, La Jolla, California, 92037, USA
| | - Jake Tear
- University of California, San Diego, 8950 Villa La Jolla Drive. Suite B-218, La Jolla, California, 92037, USA
| | - Jessica Hennies
- University of California, San Diego, 8950 Villa La Jolla Drive. Suite B-218, La Jolla, California, 92037, USA
| | - Lee Anne Mendoza
- University of California, San Diego, 8950 Villa La Jolla Drive. Suite B-218, La Jolla, California, 92037, USA
| | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut, 263 Farmington Ave. MC-2103, Farmington, Connecticut, 06030-1410, USA
| | - Howard J Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, 635 Barnhill Drive, MS4063, Indianapolis, Indiana, 46202-5122, USA
| | - Michie Hesselbrock
- Department of Psychiatry, University of Connecticut, 263 Farmington Ave. MC-2103, Farmington, Connecticut, 06030-1410, USA
| | - Kathleen Bucholz
- Psychiatry, Washington Univ. School of Medicine, 4560 Clayton Ave, Suite 1000, Saint Louis, Missouri, 63110, USA
| | - Grace Chan
- Department of Psychiatry, University of Connecticut Health Center, 263 Farmington Ave, MC 2103, Farmington, Connecticut, 06030-2103, USA
| | - Samuel Kuperman
- Child Psychiatry Clinic, UIHC Department of Psychiatry, The University of Iowa, 200 Hawkins Drive RM#2701-C JPP, Iowa City, Iowa, 52242-1057, USA
| | - Meredith W Francis
- Department of Psychiatry, Brown School of Social Work, Washington University in Saint Louis, 1 Brookings Drive, Saint Louis, Missouri, 63130, USA
| | - Martin H Plawecki
- Department of Psychiatry, Indiana University School of Medicine, Goodman Hall, 355 West 16th Street, Suite 4800, Indianapolis, Indiana, 46202, USA
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Su J, Kuo SIC, Trevino A, Barr PB, Aliev F, Bucholz K, Chan G, Edenberg HJ, Kuperman S, Lai D, Meyers JL, Pandey G, Porjesz B, Dick DM. Examining social genetic effects on educational attainment via parental educational attainment, income, and parenting. J Fam Psychol 2022; 36:1340-1350. [PMID: 35666911 PMCID: PMC9733825 DOI: 10.1037/fam0001003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Higher parental educational attainment is associated with higher offspring educational attainment. In this study, we incorporated genotypic and phenotypic information from fathers, mothers, and offspring to disentangle the genetic and socioenvironmental pathways underlying this association. Data were drawn from a sample of individuals of European ancestry from the collaborative study on the genetics of alcoholism (n = 4,089; 51% female). Results from path analysis indicated that paternal and maternal educational attainment genome-wide polygenic scores were associated with offspring educational attainment, above and beyond the effect of offspring education polygenic score. Parental educational attainment, income, and parenting behaviors served as important socioenvironmental pathways that mediated the effect of parental education polygenic score on offspring educational attainment. Our study highlights the importance of using genetically informed family studies to disentangle the genetic and socioenvironmental pathways underlying parental influences on human development. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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Affiliation(s)
- Jinni Su
- Department of Psychology, Arizona State University
| | - Sally I-Chun Kuo
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University
| | | | - Peter B. Barr
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University
| | - Fazil Aliev
- Rutgers Addiction Research Center, Rutgers University
| | | | - Grace Chan
- Department of Psychiatry, University of Connecticut School of Medicine
- Department of Psychiatry, University of Iowa
| | | | | | - Dongbing Lai
- Department of Medical and Molecular Genetics, Indiana University
| | - Jacquelyn L. Meyers
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University
| | - Gayathri Pandey
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University
| | - Bernice Porjesz
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University
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Barr PB, Driver MN, Kuo SIC, Stephenson M, Aliev F, Linnér RK, Marks J, Anokhin AP, Bucholz K, Chan G, Edenberg HJ, Edwards AC, Francis MW, Hancock DB, Harden KP, Kamarajan C, Kaprio J, Kinreich S, Kramer JR, Kuperman S, Latvala A, Meyers JL, Palmer AA, Plawecki MH, Porjesz B, Rose RJ, Schuckit MA, Salvatore JE, Dick DM. Clinical, environmental, and genetic risk factors for substance use disorders: characterizing combined effects across multiple cohorts. Mol Psychiatry 2022; 27:4633-4641. [PMID: 36195638 PMCID: PMC9938102 DOI: 10.1038/s41380-022-01801-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Substance use disorders (SUDs) incur serious social and personal costs. The risk for SUDs is complex, with risk factors ranging from social conditions to individual genetic variation. We examined whether models that include a clinical/environmental risk index (CERI) and polygenic scores (PGS) are able to identify individuals at increased risk of SUD in young adulthood across four longitudinal cohorts for a combined sample of N = 15,134. Our analyses included participants of European (NEUR = 12,659) and African (NAFR = 2475) ancestries. SUD outcomes included: (1) alcohol dependence, (2) nicotine dependence; (3) drug dependence, and (4) any substance dependence. In the models containing the PGS and CERI, the CERI was associated with all three outcomes (ORs = 01.37-1.67). PGS for problematic alcohol use, externalizing, and smoking quantity were associated with alcohol dependence, drug dependence, and nicotine dependence, respectively (OR = 1.11-1.33). PGS for problematic alcohol use and externalizing were also associated with any substance dependence (ORs = 1.09-1.18). The full model explained 6-13% of the variance in SUDs. Those in the top 10% of CERI and PGS had relative risk ratios of 3.86-8.04 for each SUD relative to the bottom 90%. Overall, the combined measures of clinical, environmental, and genetic risk demonstrated modest ability to distinguish between affected and unaffected individuals in young adulthood. PGS were significant but added little in addition to the clinical/environmental risk index. Results from our analysis demonstrate there is still considerable work to be done before tools such as these are ready for clinical applications.
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Affiliation(s)
- Peter B Barr
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA.
- VA New York Harbor Healthcare System, Brooklyn, NY, USA.
| | - Morgan N Driver
- Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - Sally I-Chun Kuo
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
| | - Mallory Stephenson
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - Fazil Aliev
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
- Rutgers Addiction Research Center, Rutgers University, Piscataway, NJ, USA
| | | | - Jesse Marks
- Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, Durham, NC, USA
| | - Andrey P Anokhin
- Department of Psychiatry, School of Medicine, Washington University in St. Louis, St Louis, MO, USA
| | - Kathleen Bucholz
- Department of Psychiatry, School of Medicine, Washington University in St. Louis, St Louis, MO, USA
| | - Grace Chan
- Department of Psychiatry, School of Medicine, University of Connecticut, Farmington, CT, USA
- Department of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Howard J Edenberg
- Department of Medical and Molecular Genetics, School of Medicine, Indiana University, Indianapolis, IN, USA
- Department of Biochemistry and Molecular Biology, School of Medicine, Indiana University, Indianapolis, IN, USA
| | - Alexis C Edwards
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - Meredith W Francis
- Department of Psychiatry, School of Medicine, Washington University in St. Louis, St Louis, MO, USA
| | - Dana B Hancock
- Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, Durham, NC, USA
| | - K Paige Harden
- Department of Psychology, University of Texas at Austin, Austin, TX, USA
- Population Research Center, University of Texas at Austin, Austin, TX, USA
| | - Chella Kamarajan
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Sivan Kinreich
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - John R Kramer
- Department of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Samuel Kuperman
- Department of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Antti Latvala
- Institute of Criminology and Legal Policy, University of Helsinki, Helsinki, Finland
| | - Jacquelyn L Meyers
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
- VA New York Harbor Healthcare System, Brooklyn, NY, USA
| | - Abraham A Palmer
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Martin H Plawecki
- Department of Psychiatry, School of Medicine, Indiana University, Indianapolis, IN, USA
| | - Bernice Porjesz
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Richard J Rose
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA
| | - Marc A Schuckit
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Jessica E Salvatore
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
| | - Danielle M Dick
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
- Rutgers Addiction Research Center, Rutgers University, Piscataway, NJ, USA
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Gaddis N, Mathur R, Marks J, Zhou L, Quach B, Waldrop A, Levran O, Agrawal A, Randesi M, Adelson M, Jeffries PW, Martin NG, Degenhardt L, Montgomery GW, Wetherill L, Lai D, Bucholz K, Foroud T, Porjesz B, Runarsdottir V, Tyrfingsson T, Einarsson G, Gudbjartsson DF, Webb BT, Crist RC, Kranzler HR, Sherva R, Zhou H, Hulse G, Wildenauer D, Kelty E, Attia J, Holliday EG, McEvoy M, Scott RJ, Schwab SG, Maher BS, Gruza R, Kreek MJ, Nelson EC, Thorgeirsson T, Stefansson K, Berrettini WH, Gelernter J, Edenberg HJ, Bierut L, Hancock DB, Johnson EO. Multi-trait genome-wide association study of opioid addiction: OPRM1 and beyond. Sci Rep 2022; 12:16873. [PMID: 36207451 PMCID: PMC9546890 DOI: 10.1038/s41598-022-21003-y] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 09/21/2022] [Indexed: 12/02/2022] Open
Abstract
Opioid addiction (OA) is moderately heritable, yet only rs1799971, the A118G variant in OPRM1, has been identified as a genome-wide significant association with OA and independently replicated. We applied genomic structural equation modeling to conduct a GWAS of the new Genetics of Opioid Addiction Consortium (GENOA) data together with published studies (Psychiatric Genomics Consortium, Million Veteran Program, and Partners Health), comprising 23,367 cases and effective sample size of 88,114 individuals of European ancestry. Genetic correlations among the various OA phenotypes were uniformly high (rg > 0.9). We observed the strongest evidence to date for OPRM1: lead SNP rs9478500 (p = 2.56 × 10-9). Gene-based analyses identified novel genome-wide significant associations with PPP6C and FURIN. Variants within these loci appear to be pleiotropic for addiction and related traits.
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Affiliation(s)
- Nathan Gaddis
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, USA
| | - Ravi Mathur
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, USA
| | - Jesse Marks
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, USA
| | - Linran Zhou
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, USA
| | - Bryan Quach
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, USA
| | - Alex Waldrop
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, USA
| | - Orna Levran
- The Laboratory of the Biology of Addictive Diseases, The Rockefeller University, New York, NY, USA
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Matthew Randesi
- The Laboratory of the Biology of Addictive Diseases, The Rockefeller University, New York, NY, USA
| | - Miriam Adelson
- Dr. Miriam and Sheldon G. Adelson Clinic for Drug Abuse, Treatment and Research, Las Vegas, NV, USA
| | - Paul W Jeffries
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Nicholas G Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Louisa Degenhardt
- National Drug and Alcohol Research Centre, University of New South Wales, Randwick, NSW, Australia
| | - Grant W Montgomery
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
| | - Leah Wetherill
- Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Dongbing Lai
- Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Kathleen Bucholz
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Tatiana Foroud
- Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Bernice Porjesz
- Department of Psychiatry, State University of New York Downstate Medical Center, Brooklyn, NY, USA
| | | | | | | | | | - Bradley Todd Webb
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, USA
| | - Richard C Crist
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Henry R Kranzler
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Richard Sherva
- Genome Science Institute, Boston University, Boston, MA, USA
| | - Hang Zhou
- Department of Psychiatry, Yale University School of Medicine, West Haven, CT, USA
| | - Gary Hulse
- School of Psychiatry and Clinical Neurosciences, The University of Western Australia, Perth, WA, Australia
| | - Dieter Wildenauer
- School of Psychiatry and Clinical Neurosciences, The University of Western Australia, Perth, WA, Australia
| | - Erin Kelty
- School of Population and Global Health, Population and Public Health, The University of Western Australia, Perth, WA, Australia
| | - John Attia
- Hunter Medical Research Institute, Newcastle, Australia
| | - Elizabeth G Holliday
- Hunter Medical Research Institute, Newcastle, Australia
- School of Medicine and Public Health, The University of Newcastle, Callaghan, NSW, Australia
| | - Mark McEvoy
- Hunter Medical Research Institute, Newcastle, Australia
- School of Medicine and Public Health, The University of Newcastle, Callaghan, NSW, Australia
| | - Rodney J Scott
- School of Biomedical Sciences and Pharmacy College of Health, Medicine and Wellbeing, The University of Newcastle, New Lambton Heights, NSW, Australia
| | - Sibylle G Schwab
- Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, NSW, Australia
| | - Brion S Maher
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Richard Gruza
- Department of Family and Community Medicine, Saint Louis University, Saint Louis, MO, USA
| | - Mary Jeanne Kreek
- The Laboratory of the Biology of Addictive Diseases, The Rockefeller University, New York, NY, USA
| | - Elliot C Nelson
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | | | - Kari Stefansson
- deCODE Genetics/Amgen, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reyjavik, Iceland
| | - Wade H Berrettini
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Joel Gelernter
- Department of Psychiatry, Genetics, & Neuroscience, Yale University School of Medicine, West Haven, CT, USA
| | - Howard J Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Laura Bierut
- Department of Psychiatry, Washington University, St. Louis, MO, USA
| | - Dana B Hancock
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, USA
| | - Eric Otto Johnson
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, USA.
- Fellow Program, RTI International, Research Triangle Park, NC, USA.
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7
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Ehlers CL, Schuckit MA, Hesselbrock V, Gilder DA, Wills D, Bucholz K. The clinical course of antisocial behaviors in men and women of three racial groups. J Psychiatr Res 2022; 151:319-327. [PMID: 35533515 PMCID: PMC9744109 DOI: 10.1016/j.jpsychires.2022.04.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 04/14/2022] [Accepted: 04/28/2022] [Indexed: 12/14/2022]
Abstract
AIMS To describe the clinical course and symptom profile of DSM-IV Antisocial Personality Disorder (ASPD) and the syndrome of Adult Antisocial Behavior Syndrome (AABS) and determine if they differ based on sex and race. METHODS Using questions from a validated semi-structured interview, data were gathered from 2 independent family studies in: 1) American Indians (AI), and 2) European Americans (EA), African Americans (AA) (total n = 7171) who reported antisocial symptoms. RESULTS Within these two samples 1148 (16%) individuals met ASPD criteria, 1932 (27%) met adult ASPD but not childhood conduct disorder (CD) (i.e., AABS). The clinical course of the antisocial behaviors studied did not differ based on race or sex; however, individual symptom counts, and age of onsets of those symptoms, were significantly different across the groups. Women reported fewer symptoms and at an older age (less fights, school suspensions/expulsions, arrests or jail time), than men but were more likely to run away from home. Those with ASPD vs. AABS had more symptoms overall including not experiencing remorse. AA and AI participants and those with ASPD, had more symptoms, and were more likely to be suspended/expelled from school and arrested at a younger age than EA. CONCLUSION In these select samples, the order and sequence of antisocial behaviors did not differ by race, AASB vs. ASPD, or sex; however individual symptom endorsement did, with men (vs. women), those with ASPD (vs. AABS), AI and AA (vs. EA) reporting more suspensions/expulsions from school and arrests. This suggests further study of the possible role of race and sex in the consequences associated with antisocial syndromes is warranted.
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Affiliation(s)
- Cindy L. Ehlers
- Department of Neurosciences, The Scripps Research Institute, La Jolla, CA
| | | | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut School of Medicine, Department of Psychiatry, Farmington, CT
| | - David A. Gilder
- Department of Neurosciences, The Scripps Research Institute, La Jolla, CA
| | - Derek Wills
- Department of Neurosciences, The Scripps Research Institute, La Jolla, CA
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8
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Cho SB, Smith RL, Bucholz K, Chan G, Edenberg HJ, Hesselbrock V, Kramer J, McCutcheon VV, Nurnberger J, Schuckit M, Zang Y, Dick DM, Salvatore JE. Using a developmental perspective to examine the moderating effects of marriage on heavy episodic drinking in a young adult sample enriched for risk. Dev Psychopathol 2021; 33:1097-1106. [PMID: 32611468 PMCID: PMC7775899 DOI: 10.1017/s0954579420000371] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Many studies demonstrate that marriage protects against risky alcohol use and moderates genetic influences on alcohol outcomes; however, previous work has not considered these effects from a developmental perspective or in high-risk individuals. These represent important gaps, as it cannot be assumed that marriage has uniform effects across development or in high-risk samples. We took a longitudinal developmental approach to examine whether marital status was associated with heavy episodic drinking (HED), and whether marital status moderated polygenic influences on HED. Our sample included 937 individuals (53.25% female) from the Collaborative Study on the Genetics of Alcoholism who reported their HED and marital status biennially between the ages of 21 and 25. Polygenic risk scores (PRS) were derived from a genome-wide association study of alcohol consumption. Marital status was not associated with HED; however, we observed pathogenic gene-by-environment effects that changed across young adulthood. Among those who married young (age 21), individuals with higher PRS reported more HED; however, these effects decayed over time. The same pattern was found in supplementary analyses using parental history of alcohol use disorder as the index of genetic liability. Our findings indicate that early marriage may exacerbate risk for those with higher polygenic load.
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Affiliation(s)
- Seung Bin Cho
- Department of Psychology, Pusan National University, Busan, South Korea
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, USA
| | - Rebecca L Smith
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, USA
| | - Kathleen Bucholz
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA
| | - Grace Chan
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Howard J Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - John Kramer
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Vivia V McCutcheon
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA
| | - John Nurnberger
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Marc Schuckit
- Department of Psychiatry, University of California-San Diego, La Jolla, CA, USA
| | - Yong Zang
- Department of Biostatistics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Danielle M Dick
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, USA
- Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - Jessica E Salvatore
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, USA
- Virginia Institute for Psychiatric and Behavioral Genetics, Richmond, VA, USA
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9
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Lai D, Kapoor M, Wetherill L, Schwandt M, Ramchandani VA, Goldman D, Chao M, Almasy L, Bucholz K, Hart RP, Kamarajan C, Meyers JL, Nurnberger JI, Tischfield J, Edenberg HJ, Schuckit M, Goate A, Scott DM, Porjesz B, Agrawal A, Foroud T. Genome-wide admixture mapping of DSM-IV alcohol dependence, criterion count, and the self-rating of the effects of ethanol in African American populations. Am J Med Genet B Neuropsychiatr Genet 2021; 186:151-161. [PMID: 32652861 PMCID: PMC9376735 DOI: 10.1002/ajmg.b.32805] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 04/06/2020] [Accepted: 06/01/2020] [Indexed: 12/15/2022]
Abstract
African Americans (AA) have lower prevalence of alcohol dependence and higher subjective response to alcohol than European Americans. Genome-wide association studies (GWAS) have identified genes/variants associated with alcohol dependence specifically in AA; however, the sample sizes are still not large enough to detect variants with small effects. Admixture mapping is an alternative way to identify alcohol dependence genes/variants that may be unique to AA. In this study, we performed the first admixture mapping of DSM-IV alcohol dependence diagnosis, DSM-IV alcohol dependence criterion count, and two scores from the self-rating of effects of ethanol (SRE) as measures of response to alcohol: the first five times of using alcohol (SRE-5) and average of SRE across three times (SRE-T). Findings revealed a region on chromosome 4 that was genome-wide significant for SRE-5 (p value = 4.18E-05). Fine mapping did not identify a single causal variant to be associated with SRE-5; instead, conditional analysis concluded that multiple variants collectively explained the admixture mapping signal. PPARGC1A, a gene that has been linked to alcohol consumption in previous studies, is located in this region. Our finding suggests that admixture mapping is a useful tool to identify genes/variants that may have been missed by current GWAS approaches in admixed populations.
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Affiliation(s)
- Dongbing Lai
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Manav Kapoor
- Department of Neuroscience, Icahn School of Medicine at Mt. Sinai, New York, NY
| | - Leah Wetherill
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Melanie Schwandt
- Office of the Clinical Director, National Institute on Alcohol Abuse & Alcoholism, Bethesda, MD
| | - Vijay A. Ramchandani
- Section on Human Psychopharmacology, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD
| | - David Goldman
- Office of the Clinical Director, National Institute on Alcohol Abuse & Alcoholism, Bethesda, MD
| | - Michael Chao
- Department of Neuroscience, Icahn School of Medicine at Mt. Sinai, New York, NY
| | - Laura Almasy
- Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia and University of Pennsylvania School of Medicine, Philadelphia, PA
| | - Kathleen Bucholz
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
| | - Ronald P. Hart
- Department of Cell Biology and Neuroscience, Rutgers University, Piscataway, NJ
| | - Chella Kamarajan
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, State University of New York, Downstate Medical Center, Brooklyn, NY
| | - Jacquelyn L. Meyers
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, State University of New York, Downstate Medical Center, Brooklyn, NY
| | - John I. Nurnberger
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN
| | - Jay Tischfield
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers University, Piscataway, NJ
| | - 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
| | - Marc Schuckit
- Department of Psychiatry, University of California, San Diego Medical School, San Diego, CA
| | - Alison Goate
- Department of Neuroscience, Icahn School of Medicine at Mt. Sinai, New York, NY
| | - Denise M. Scott
- Departments of Pediatrics and Human Genetics, Howard University, Washington, DC
| | - Bernice Porjesz
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, State University of New York, Downstate Medical Center, Brooklyn, NY
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
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10
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Subbie-Saenz de Viteri S, Pandey A, Pandey G, Kamarajan C, Smith R, Anokhin A, Bauer L, Bender A, Chan G, Dick D, Edenberg H, Kinreich S, Kramer J, Schuckit M, Zang Y, McCutcheon V, Bucholz K, Porjesz B, Meyers JL. Pathways to post-traumatic stress disorder and alcohol dependence: Trauma, executive functioning, and family history of alcoholism in adolescents and young adults. Brain Behav 2020; 10:e01789. [PMID: 32990406 PMCID: PMC7667345 DOI: 10.1002/brb3.1789] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2019] [Revised: 07/15/2020] [Accepted: 07/17/2020] [Indexed: 12/19/2022] Open
Abstract
INTRODUCTION Family history (FH) of alcohol dependence is likely to increase the risk of trauma exposure, post-traumatic stress disorder (PTSD), and alcohol dependence. FH of alcohol dependence and trauma has been separately shown to adversely affect planning/problem-solving aspects of executive function. However, few studies have examined these risk factors in an integrated model. METHODS Using data from trauma-exposed individuals from the Collaborative Study on the Genetics of Alcoholism prospective cohort (N = 1,860), comprising offspring from alcohol-dependent high-risk and comparison families (mean age [SE] = 21.9 [4.2]), we investigated associations of trauma (nonsexual assaultive, nonassaultive, sexual assaultive) with DSM-IV PTSD and alcohol dependence symptom counts, and planning/problem-solving abilities assessed using the Tower of London Test (TOLT). Moderating effects of family history density of alcohol use disorder (FHD) on these associations and sex differences were explored. RESULTS Family history density was positively associated with PTSD in female participants who endorsed a sexual assaultive trauma. Exposure to nonsexual assaultive trauma was associated with more excess moves made on the TOLT. CONCLUSION Findings from this study demonstrate associations with PTSD and alcohol dependence symptom counts, as well as poor problem-solving ability in trauma-exposed individuals from families densely affected with alcohol dependence, depending on trauma type, FHD, and sex. This suggests that having a FH of alcohol dependence and exposure to trauma during adolescence may be associated with more PTSD and alcohol dependence symptoms, and poor problem-solving abilities in adulthood.
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Affiliation(s)
| | - Ashwini Pandey
- State University of New York Downstate Health Sciences University, Brooklyn, New York, USA
| | - Gayathri Pandey
- State University of New York Downstate Health Sciences University, Brooklyn, New York, USA
| | - Chella Kamarajan
- State University of New York Downstate Health Sciences University, Brooklyn, New York, USA
| | - Rebecca Smith
- Virginia Commonwealth University, Richmond, Virginia, USA
| | - Andrey Anokhin
- Washington University School of Medicine, St. Louis, Missouri, USA
| | - Lance Bauer
- University of Connecticut School of Medicine, Farmington, Connecticut, USA
| | - Annah Bender
- University of Missouri, St. Louis, Missouri, USA
| | - Grace Chan
- University of Connecticut School of Medicine, Farmington, Connecticut, USA
| | - Danielle Dick
- Virginia Commonwealth University, Richmond, Virginia, USA
| | - Howard Edenberg
- Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Sivan Kinreich
- State University of New York Downstate Health Sciences University, Brooklyn, New York, USA
| | | | | | - Yong Zang
- Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Vivia McCutcheon
- Washington University School of Medicine, St. Louis, Missouri, USA
| | - Kathleen Bucholz
- Washington University School of Medicine, St. Louis, Missouri, USA
| | - Bernice Porjesz
- State University of New York Downstate Health Sciences University, Brooklyn, New York, USA
| | - Jacquelyn L Meyers
- State University of New York Downstate Health Sciences University, Brooklyn, New York, USA
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11
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Salvatore JE, Barr PB, Stephenson M, Aliev F, Kuo SIC, Su J, Agrawal A, Almasy L, Bierut L, Bucholz K, Chan G, Edenberg HJ, Johnson EC, McCutcheon VV, Meyers JL, Schuckit M, Tischfield J, Wetherill L, Dick DM. Sibling comparisons elucidate the associations between educational attainment polygenic scores and alcohol, nicotine and cannabis. Addiction 2020; 115:337-346. [PMID: 31659820 PMCID: PMC7034661 DOI: 10.1111/add.14815] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Revised: 05/30/2019] [Accepted: 09/02/2019] [Indexed: 12/16/2022]
Abstract
BACKGROUND AND AIMS The associations between low educational attainment and substance use disorders (SUDs) may be related to a common genetic vulnerability. We aimed to elucidate the associations between polygenic scores for educational attainment and clinical criterion counts for three SUDs (alcohol, nicotine and cannabis). DESIGN Polygenic association and sibling comparison methods. The latter strengthens inferences in observational research by controlling for confounding factors that differ between families. SETTING Six sites in the United States. PARTICIPANTS European ancestry participants aged 25 years and older from the Collaborative Study on the Genetics of Alcoholism (COGA). Polygenic association analyses included 5582 (54% female) participants. Sibling comparisons included 3098 (52% female) participants from 1226 sibling groups nested within the overall sample. MEASUREMENTS Outcomes included criterion counts for DSM-5 alcohol use disorder (AUDSX), Fagerström nicotine dependence (NDSX) and DSM-5 cannabis use disorder (CUDSX). We derived polygenic scores for educational attainment (EduYears-GPS) using summary statistics from a large (> 1 million) genome-wide association study of educational attainment. FINDINGS In polygenic association analyses, higher EduYears-GPS predicted lower AUDSX, NDSX and CUDSX [P < 0.01, effect sizes (R2 ) ranging from 0.30 to 1.84%]. These effects were robust in sibling comparisons, where sibling differences in EduYears-GPS predicted all three SUDs (P < 0.05, R2 0.13-0.20%). CONCLUSIONS Individuals who carry more alleles associated with educational attainment tend to meet fewer clinical criteria for alcohol, nicotine and cannabis use disorders, and these effects are robust to rigorous controls for potentially confounding factors that differ between families (e.g. socio-economic status, urban-rural residency and parental education).
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Affiliation(s)
- Jessica E. Salvatore
- Department of Psychology, Virginia Commonwealth University, Box 842018, Richmond, VA 23284-2018
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth, University, Box 980126, Richmond, VA 23298
| | - Peter B. Barr
- Department of Psychology, Virginia Commonwealth University, Box 842018, Richmond, VA 23284-2018
| | - Mallory Stephenson
- Department of Psychology, Virginia Commonwealth University, Box 842018, Richmond, VA 23284-2018
| | - Fazil Aliev
- Department of Psychology, Virginia Commonwealth University, Box 842018, Richmond, VA 23284-2018
- Department of Business Administration, Karabuk University, 78050 Karabuk, Turkey
| | - Sally I-Chun Kuo
- Department of Psychology, Virginia Commonwealth University, Box 842018, Richmond, VA 23284-2018
| | - Jinni Su
- Department of Psychology, Arizona State University, Box 871104, Tempe, AZ 85287-1104
| | - Arpana Agrawal
- Department of Psychiatry, Washington University in St. Louis, 660 S. Euclid, CB 8134, St., Louis, MO 63110
| | - Laura Almasy
- Department of Genetics, University of Pennsylvania, 415 Curie Boulevard Philadelphia, PA, 19104-6145
- Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, 3615, Civic Center Blvd, ARC 1016-C, Philadelphia, PA 19104
| | - Laura Bierut
- Department of Psychiatry, Washington University in St. Louis, 660 S. Euclid, CB 8134, St., Louis, MO 63110
| | - Kathleen Bucholz
- Department of Psychiatry, Washington University in St. Louis, 660 S. Euclid, CB 8134, St., Louis, MO 63110
| | - Grace Chan
- Department of Psychiatry, University of Connecticut School of Medicine, 263 Farmington, Avenue, Farmington, CT 06030-2103
| | - Howard J. Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University, 635 Barnhill Dr.,, Indianapolis, IN 46202
| | - Emma C. Johnson
- Department of Psychiatry, Washington University in St. Louis, 660 S. Euclid, CB 8134, St., Louis, MO 63110
| | - Vivia V. McCutcheon
- Department of Psychiatry, Washington University in St. Louis, 660 S. Euclid, CB 8134, St., Louis, MO 63110
| | - Jacquelyn L. Meyers
- Department of Psychiatry, SUNY Downstate Medical Center, 450 Clarkson Avenue Brooklyn, NY 11203
| | - Marc Schuckit
- Department of Psychiatry, University of California-San Diego, 9500 Gilman Drive La Jolla,, CA 92093
| | - Jay Tischfield
- Department of Genetics and the Human Genetics Institute of New Jersey, 145 Bevier Road, Piscataway, NJ 08854-8082
| | - Leah Wetherill
- Department of Medical and Molecular Genetics, Indiana University, 410 W. 10th Street, Indianapolis, IN 46202
| | - Danielle M. Dick
- Department of Psychology, Virginia Commonwealth University, Box 842018, Richmond, VA 23284-2018
- Department of Human & Molecular Genetics, Virginia Commonwealth University, Box, 980033, Richmond, VA, USA 23298
- College Behavioral and Emotional Health Institute, Virginia Commonwealth University, Box, 842018 Richmond, VA, 23284
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12
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Meyers J, McCutcheon VV, Pandey AK, Kamarajan C, Subbie S, Chorlian D, Salvatore J, Pandey G, Almasy L, Anokhin A, Bauer L, Bender A, Dick DM, Edenberg HJ, Hesselbrock V, Kramer J, Kuperman S, Agrawal A, Bucholz K, Porjesz B. Early Sexual Trauma Exposure and Neural Response Inhibition in Adolescence and Young Adults: Trajectories of Frontal Theta Oscillations During a Go/No-Go Task. J Am Acad Child Adolesc Psychiatry 2019; 58:242-255.e2. [PMID: 30738551 PMCID: PMC6537865 DOI: 10.1016/j.jaac.2018.07.905] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2017] [Revised: 06/14/2018] [Accepted: 08/15/2018] [Indexed: 12/12/2022]
Abstract
OBJECTIVE Trauma, particularly when experienced early in life, can alter neurophysiologic and behavioral development, thereby increasing risk for substance use disorders and related psychopathology. However, few studies have empirically examined trauma using well-characterized developmental samples that are followed longitudinally. METHOD The association of assaultive, non-assaultive, and sexual assaultive experiences before 10 years of age with developmental trajectories of brain function during response inhibition was examined by measuring electrophysiologic theta and delta oscillations during no-go and go conditions in an equal probability go/no-go task. Data were drawn from the Collaborative Study of the Genetics of Alcoholism (COGA) prospective cohort, composed of offspring who were aged 12 through 22 years at enrollment from high-risk and comparison families, with follow-ups at 2-year intervals since 2004. In addition, other important predictors of neurophysiologic functioning (eg, substance use, impulsivity, and parental alcohol use disorders) were investigated. Moreover, associations of neurophysiologic functioning with alcohol and cannabis use disorder symptom counts and externalizing and internalizing psychopathology were examined. RESULTS Individuals exposed to sexual assaultive trauma before 10 years of age had slower rates of change in developmental trajectories of no-go frontal theta during response inhibition. Importantly, effects remained significant after accounting for exposure to other traumatic exposures, such as parental history of alcohol use disorder and participants' substance use, but not measures of impulsivity. Further, slower rates of change in no-go frontal theta adolescent and young adult development were associated with increased risk for alcohol use disorder symptoms and internalizing psychopathology, but not for cannabis use disorder symptoms or externalizing psychopathology. CONCLUSION Childhood sexual assault is associated with atypical frontal neurophysiologic development during response inhibition. This could reflect alterations in frontal lobe development, synaptic pruning, and/or cortical maturation involving neural circuits for inhibitory control. These same areas could be associated with increased risk for young adult alcohol use disorder symptoms and internalizing psychopathology. These findings support the hypothesis that changes in neurocognitive development related to early sexual trauma exposure could increase the risk for mental health and substance use problems in young adulthood.
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Affiliation(s)
- Jacquelyn Meyers
- State University of New York Downstate Medical Center, Brooklyn, NY.
| | | | | | - Chella Kamarajan
- State University of New York Downstate Medical Center, Brooklyn, NY
| | - Stacey Subbie
- State University of New York Downstate Medical Center, Brooklyn, NY
| | - David Chorlian
- State University of New York Downstate Medical Center, Brooklyn, NY
| | - Jessica Salvatore
- Virginia Commonwealth University, Richmond.,Virginia Institute of Psychiatric and Behavioral Genetics,Virginia Commonwealth University
| | - Gayathri Pandey
- State University of New York Downstate Medical Center, Brooklyn, NY
| | | | | | - Lance Bauer
- University of Connecticut School of Medicine, Farmington
| | | | | | | | | | | | | | | | | | - Bernice Porjesz
- State University of New York Downstate Medical Center, Brooklyn, NY
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13
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Acion L, Kramer J, Liu X, Chan G, Langbehn D, Bucholz K, McCutcheon V, Hesselbrock V, Schuckit M, Dick D, Hesselbrock M, Kuperman S. Reliability and validity of an internalizing symptom scale based on the adolescent and adult Semi-Structured Assessment for the Genetics of Alcoholism (SSAGA). Am J Drug Alcohol Abuse 2018; 45:151-160. [PMID: 29870277 PMCID: PMC6481182 DOI: 10.1080/00952990.2018.1476520] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2017] [Revised: 05/08/2018] [Accepted: 05/10/2018] [Indexed: 10/14/2022]
Abstract
BACKGROUND The Semi-Structured Assessment for the Genetics of Alcoholism (SSAGA) is an interview that assesses psychiatric symptoms and diagnoses, including substance use disorders and anxiety and mood (i.e., internalizing) disorders. Although the SSAGA is widely used, there exists no overall internalizing characteristics scale based on items drawn from SSAGA's mood and anxiety disorder sections. OBJECTIVES To design and assess a SSAGA-based measurement instrument capturing the overall internalizing dimension that underlies more specific internalizing conditions. METHODS We developed, assessed, and characterized a new scale for measuring internalizing problematic characteristics derived from the SSAGA interview. All samples were drawn from the Collaborative Studies on the Genetics of Alcoholism, a prospective multi-site genetic study of families at high risk for alcohol use disorders. All participants taking part in the study between September 2005 and September 2017 were eligible (n = 904, 52.2% female). RESULTS The scale had adequate internal consistency (ordinal α = 0.85, 95% CI = [0.81, 0.89]). Construct validity was supported by its association with other measures of internalizing characteristics (Internalizing Scale from Achenbach Self Reports; Neuroticism Scale from the Neuroticism-Extraversion-Openness Five-Factor Personality Inventory). Several indices of alcohol, marijuana, and nicotine misuse were also positively associated with Internalizing Scale scores. CONCLUSIONS The Internalizing Scale has very good psychometric properties and can be used in studies that incorporate the SSAGA interview to study the association between internalizing characteristics and problematic alcohol and other substance use. These associations can potentially be utilized to identify individuals at risk for substance problems and to design treatments targeting such individuals.
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Affiliation(s)
- Laura Acion
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, Iowa
- Iowa Consortium for Substance Abuse Research and Evaluation, Iowa City, Iowa
- Fundación Sadosky, Buenos Aires, Argentina
| | - John Kramer
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, Iowa
| | - Xiangtao Liu
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, Iowa
| | - Grace Chan
- Department of Psychiatry, University of Connecticut Health Center, Farmington, Connecticut
| | - Douglas Langbehn
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, Iowa
| | - Kathleen Bucholz
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Vivia McCutcheon
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut Health Center, Farmington, Connecticut
| | - Marc Schuckit
- Department of Psychiatry, University of California San Diego School of Medicine, La Jolla, California
| | - Danielle Dick
- Department of Psychology, Virginia Commonwealth University, Richmond, Virginia
| | - Michie Hesselbrock
- Department of Psychiatry, University of Connecticut Health Center, Farmington, Connecticut
| | - Samuel Kuperman
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, Iowa
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14
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Schuckit MA, Smith TL, Danko G, Anthenelli R, Schoen L, Kawamura M, Kramer J, Dick DM, Neale Z, Kuperman S, McCutcheon V, Anokhin AP, Hesselbrock V, Hesselbrock M, Bucholz K. A Prospective Comparison of How the Level of Response to Alcohol and Impulsivity Relate to Future DSM-IV Alcohol Problems in the COGA Youth Panel. Alcohol Clin Exp Res 2017; 41:1329-1339. [PMID: 28440866 DOI: 10.1111/acer.13407] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2017] [Accepted: 04/18/2017] [Indexed: 02/06/2023]
Abstract
BACKGROUND Alcohol problems reflect both environmental and genetic characteristics that often operate through endophenotypes like low levels of response (low LRs) to alcohol and higher impulsivity. Relationships of these preexisting characteristics to alcohol problems have been studied, but few analyses have included both low LR and impulsivity in the same model. METHODS We extracted prospective data from 1,028 participants in the Prospective Youth Sample of the Collaborative Study on the Genetics of Alcoholism (COGA). At Time 1 (age 18), these drinking but non-alcohol-dependent males and females completed the Barratt Impulsivity Scale and the Self-Report of the Effects of Alcohol questionnaire regarding drinks required for effects the first 5 times of drinking (SRE5-LR). Two years later, they reported perceived drinking patterns of peers (PEER), their own alcohol expectancies (EXPECT), and their drinking to cope with stress (COPE). Subsequently, at Time 3, participants reported numbers of up to 11 DSM-IV alcohol criterion items experienced in the 2 years since Time 2 (ALC PROBS). Data were analyzed using structural equation modeling (SEM). RESULTS In the SEM, Baseline SRE5-LR and impulsivity were weakly related and did not interact in predicting later ALC PROBS. LR was directly linked to Time 3 ALC PROBS and to PEER, but had no direct path to EXPECT, with partial mediation to ALC PROBS through PEER to EXPECT and via COPE. Impulsivity did not relate directly to ALC PROBS or PEER, but was directly related to EXPECT and COPE, with effects on ALC PROBS also operating through EXPECT and COPE. CONCLUSIONS Low LRs and impulsivity related to Time 3 ALC PROBS through somewhat different paths. Education- and counseling-based approaches to mitigate future alcohol problems may benefit from emphasizing different potential mediators of adverse alcohol outcomes for youth with low LRs versus those with high impulsivity or both characteristics.
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Affiliation(s)
- Marc A Schuckit
- Department of Psychiatry, University of California, San Diego, La Jolla, California
| | - Tom L Smith
- Department of Psychiatry, University of California, San Diego, La Jolla, California
| | - George Danko
- Department of Psychiatry, University of California, San Diego, La Jolla, California
| | - Robert Anthenelli
- Department of Psychiatry, University of California, San Diego, La Jolla, California
| | - Lara Schoen
- Department of Psychiatry, University of California, San Diego, La Jolla, California
| | - Mari Kawamura
- Department of Psychiatry, University of California, San Diego, La Jolla, California
| | - John Kramer
- Department of Psychiatry, The University of Iowa, Iowa City, Iowa
| | - Danielle M Dick
- Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia
| | - Zoe Neale
- Department of Psychology, Virginia Commonwealth University, Richmond, Virginia
| | - Samuel Kuperman
- Child Psychiatry Clinic, The University of Iowa, Iowa City, Iowa
| | - Vivia McCutcheon
- Department of Psychiatry, Washington University, St. Louis, Missouri
| | - Andrey P Anokhin
- Washington University in Saint Louis School of Medicine, St. Louis, Missouri
| | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut, Farmington, Connecticut
| | - Michie Hesselbrock
- Department of Psychiatry, School of Medicine, University of Connecticut, Farmington, Connecticut
| | - Kathleen Bucholz
- Washington University in Saint Louis School of Medicine, St. Louis, Missouri
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15
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Affiliation(s)
- Marta Yanina Pepino
- Center for Human Nutrition, Washington University School of Medicine, St Louis, Missouri2Atkins Center of Excellence in Obesity Medicine, Washington University School of Medicine, St Louis, Missouri
| | - Adewole L Okunade
- Center for Human Nutrition, Washington University School of Medicine, St Louis, Missouri2Atkins Center of Excellence in Obesity Medicine, Washington University School of Medicine, St Louis, Missouri
| | - J Christopher Eagon
- Center for Human Nutrition, Washington University School of Medicine, St Louis, Missouri2Atkins Center of Excellence in Obesity Medicine, Washington University School of Medicine, St Louis, Missouri
| | - Bruce D Bartholow
- Department of Psychological Sciences, University of Missouri, Columbia
| | - Kathleen Bucholz
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
| | - Samuel Klein
- Center for Human Nutrition, Washington University School of Medicine, St Louis, Missouri2Atkins Center of Excellence in Obesity Medicine, Washington University School of Medicine, St Louis, Missouri
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16
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Wetherill L, Agrawal A, Kapoor M, Bertelsen S, Bierut LJ, Brooks A, Dick D, Hesselbrock M, Hesselbrock V, Koller DL, Le N, Nurnberger JI, Salvatore JE, Schuckit M, Tischfield JA, Wang JC, Xuei X, Edenberg HJ, Porjesz B, Bucholz K, Goate AM, Foroud T. Association of substance dependence phenotypes in the COGA sample. Addict Biol 2015; 20:617-27. [PMID: 24832863 PMCID: PMC4233207 DOI: 10.1111/adb.12153] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
Alcohol and drug use disorders are individually heritable (50%). Twin studies indicate that alcohol and substance use disorders share common genetic influences, and therefore may represent a more heritable form of addiction and thus be more powerful for genetic studies. This study utilized data from 2322 subjects from 118 European-American families in the Collaborative Study on the Genetics of Alcoholism sample to conduct genome-wide association analysis of a binary and a continuous index of general substance dependence liability. The binary phenotype (ANYDEP) was based on meeting lifetime criteria for any DSM-IV dependence on alcohol, cannabis, cocaine or opioids. The quantitative trait (QUANTDEP) was constructed from factor analysis based on endorsement across the seven DSM-IV criteria for each of the four substances. Heritability was estimated to be 54% for ANYDEP and 86% for QUANTDEP. One single-nucleotide polymorphism (SNP), rs2952621 in the uncharacterized gene LOC151121 on chromosome 2, was associated with ANYDEP (P = 1.8 × 10(-8) ), with support from surrounding imputed SNPs and replication in an independent sample [Study of Addiction: Genetics and Environment (SAGE); P = 0.02]. One SNP, rs2567261 in ARHGAP28 (Rho GTPase-activating protein 28), was associated with QUANTDEP (P = 3.8 × 10(-8) ), and supported by imputed SNPs in the region, but did not replicate in an independent sample (SAGE; P = 0.29). The results of this study provide evidence that there are common variants that contribute to the risk for a general liability to substance dependence.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Nhung Le
- Washington University School of Medicine
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17
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Salvatore JE, Aliev F, Bucholz K, Agrawal A, Hesselbrock V, Hesselbrock M, Bauer L, Kuperman S, Schuckit MA, Kramer J, Edenberg HJ, Foroud TM, Dick DM. Polygenic risk for externalizing disorders: Gene-by-development and gene-by-environment effects in adolescents and young adults. Clin Psychol Sci 2015; 3:189-201. [PMID: 25821660 PMCID: PMC4371857 DOI: 10.1177/2167702614534211] [Citation(s) in RCA: 76] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
In this project, we aimed to bring large-scale gene identification findings into a developmental psychopathology framework. Using a family-based sample, we tested whether polygenic scores for externalizing disorders-based on single nucleotide polymorphism weights derived from genome-wide association study results in adults (n = 1,249)-predicted externalizing disorders, subclinical externalizing behavior, and impulsivity-related traits adolescents (n = 248) and young adults (n = 207), and whether parenting and peer factors in adolescence moderated polygenic risk to predict externalizing disorders. Polygenic scores predicted externalizing disorders in adolescents and young adults, even after controlling for parental externalizing disorder history. Polygenic scores also predicted subclinical externalizing behavior and impulsivity traits in the adolescents and young adults. Adolescent parental monitoring and peer substance use moderated polygenic scores to predict externalizing disorders. This illustrates how state of the science genetics can be integrated with psychological science to identify how genetic risk contributes to the development of psychopathology.
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Affiliation(s)
| | - Fazil Aliev
- Department of Psychiatry, Virginia Commonwealth University
| | | | | | | | | | - Lance Bauer
- Department of Psychiatry, University of Connecticut
| | | | - Marc A Schuckit
- Department of Psychiatry, University of California-San Diego
| | - John Kramer
- Department of Psychiatry, University of Iowa
| | - Howard J Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University
| | - Tatiana M Foroud
- Department of Medical and Molecular Genetics, Indiana University
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18
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Dick DM, Cho SB, Latendresse SJ, Aliev F, Nurnberger JI, Edenberg HJ, Schuckit M, Hesselbrock VM, Porjesz B, Bucholz K, Wang JC, Goate A, Kramer JR, Kuperman S. Genetic influences on alcohol use across stages of development: GABRA2 and longitudinal trajectories of drunkenness from adolescence to young adulthood. Addict Biol 2014; 19:1055-64. [PMID: 23692184 PMCID: PMC3783626 DOI: 10.1111/adb.12066] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
Longitudinal analyses allow us to understand how genetic risk unfolds across development, in a way that is not possible with cross-sectional analyses of individuals at different ages. This has received little attention in genetic association analyses. In this study, we test for genetic effects of GABRA2, a gene previously associated with alcohol dependence, on trajectories of drunkenness from age 14 to 25. We use data from 1070 individuals who participated in the prospective sample of the Collaborative Study on the Genetics of Alcoholism, in order to better understand the unfolding of genetic risk across development. Piecewise linear growth models were fit to model the influence of genotype on rate of increase in drunkenness from early adolescence to young adulthood (14-18 years), the change in drunkenness during the transition to adulthood (18-19 years) and the rate of change in drunkenness across young adulthood (≥ 19 years). Variation in GABRA2 was associated with an increase in drunkenness that occurred at the transition between adolescence and adulthood. The genotypic effect was more pronounced in females. These analyses illustrate the importance of longitudinal data to characterize how genetic effects unfold across development. The findings suggest that transitions across important developmental periods may alter the relative importance of genetic effects on patterns of alcohol use. The findings also suggest the importance of considering gender when evaluating genetic effects on drinking patterns in males and females.
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Affiliation(s)
- Danielle M. Dick
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA
| | - Seung Bin Cho
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA
| | - Shawn J. Latendresse
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA
| | - Fazil Aliev
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA
| | | | | | - Marc Schuckit
- University of California, San Diego VA Medical Center, San Diego, CA
| | | | - Bernice Porjesz
- State University of New York (SUNY) Downstate Medical Center, Brooklyn, NY
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19
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Kapoor M, Wang JC, Wetherill L, Le N, Bertelsen S, Hinrichs AL, Budde J, Agrawal A, Almasy L, Bucholz K, Dick DM, Harari O, Xiaoling X, Hesselbrock V, Kramer J, Nurnberger JI, Rice J, Schuckit M, Tischfield J, Porjesz B, Edenberg HJ, Bierut L, Foroud T, Goate A. Genome-wide survival analysis of age at onset of alcohol dependence in extended high-risk COGA families. Drug Alcohol Depend 2014; 142:56-62. [PMID: 24962325 PMCID: PMC4127128 DOI: 10.1016/j.drugalcdep.2014.05.023] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2014] [Revised: 05/24/2014] [Accepted: 05/29/2014] [Indexed: 12/13/2022]
Abstract
BACKGROUND The age at onset of alcohol dependence (AD) is a critical moderator of genetic associations for alcohol dependence. The present study evaluated whether single nucleotide polymorphisms (SNPs) can influence the age at onset of AD in large high-risk families from the Collaborative Study on the Genetics of Alcoholism (COGA). METHODS Genomewide SNP genotyping was performed in 1788 regular drinkers from 118 large European American families densely affected with alcoholism. We used a genome-wide Cox proportional hazards regression model to test for association between age at onset of AD and SNPs. RESULTS This family-based analysis identified an intergenic SNP, rs2168784 on chromosome 3 that showed strong evidence of association (P=5×10(-9)) with age at onset of AD among regular drinkers. Carriers of the minor allele of rs2168784 had 1.5 times the hazard of AD onset as compared with those homozygous for the major allele. By the age of 20 years, nearly 30% of subjects homozygous for the minor allele were alcohol dependent while only 19% of those homozygous for the major allele were. We also identified intronic SNPs in the ADP-ribosylation factor like 15 (ARL15) gene on chromosome 5 (P=1.11×10(-8)) and the UTP20 small subunit (UTP20) gene on chromosome 12 (P=4.32×10(-8)) that were associated with age at onset of AD. CONCLUSIONS This extended family based genome-wide cox-proportional hazards analysis identified several loci that might be associated with age at onset of AD.
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Affiliation(s)
- Manav Kapoor
- Washington University School of Medicine, United States
| | | | | | - Nhung Le
- Washington University School of Medicine, United States
| | | | | | - John Budde
- Washington University School of Medicine, United States
| | | | - Laura Almasy
- Southwest Foundation for Biomedical Research, United States
| | | | | | - Oscar Harari
- Washington University School of Medicine, United States
| | - Xuei Xiaoling
- Indiana University School of Medicine, United States
| | | | - John Kramer
- University of Iowa Carver College of Medicine, United States
| | | | - John Rice
- Washington University School of Medicine, United States
| | | | | | | | | | - Laura Bierut
- Washington University School of Medicine, United States
| | | | - Alison Goate
- Washington University School of Medicine, United States.
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20
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Petry NM, Blanco C, Auriacombe M, Borges G, Bucholz K, Crowley TJ, Grant BF, Hasin DS, O'Brien C. An overview of and rationale for changes proposed for pathological gambling in DSM-5. J Gambl Stud 2014; 30:493-502. [PMID: 23526033 DOI: 10.1007/s10899-013-9370-0] [Citation(s) in RCA: 101] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
The fifth revision of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) is scheduled for publication in 2013. It will include several changes to the diagnosis of pathological gambling: the name of the disorder will be altered, the threshold for diagnosis will decrease, and one criterion will be removed. This paper reviews the rationale for these changes and addresses how they may impact diagnosis and treatment of the disorder, as well as potential for future research in the field.
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Affiliation(s)
- Nancy M Petry
- MC-3944, University of Connecticut School of Medicine, 263 Farmington Avenue, Farmington, CT, 06030-3944, USA,
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21
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Sadler B, Haller G, Agrawal A, Culverhouse R, Bucholz K, Brooks A, Tischfield J, Johnson EO, Edenberg H, Schuckit M, Saccone N, Bierut L, Goate A. Variants near CHRNB3-CHRNA6 are associated with DSM-5 cocaine use disorder: evidence for pleiotropy. Sci Rep 2014; 4:4497. [PMID: 24675634 PMCID: PMC4894386 DOI: 10.1038/srep04497] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2013] [Accepted: 02/26/2014] [Indexed: 12/16/2022] Open
Abstract
In the U.S.A., cocaine is the second most abused illicit drug. Variants within the CHRNB3-A6 gene cluster have been associated with cigarette consumption in several GWAS. These receptors represent intriguing candidates for the study of cocaine dependence because nicotinic receptors are thought to be involved in generalized addiction pathways. Using genotypic data from a GWAS of the Study of Addiction: Genetics and Environment (SAGE) dataset, we tested for association of CHRNB3-A6 SNPs with DSM-5 cocaine use disorder. Multiple SNPs in the region were significantly associated with increased risk of cocaine use disorder. Inclusion of the most significant SNP as a covariate in a linear regression model provided evidence for an additional independent signal within this locus for cocaine use disorder. These results suggest that the CHRNB3-A6 locus contains multiple variants affecting risk for vulnerability to cocaine and nicotine dependence as well as bipolar disorder, suggesting that they have pleiotropic effects.
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Affiliation(s)
- Brooke Sadler
- 1] School of Human Evolution and Social Change, Arizona State University, Tempe, AZ, USA [2] Department of Psychiatry, Washington University, St. Louis, MO, USA
| | - Gabe Haller
- 1] Department of Psychiatry, Washington University, St. Louis, MO, USA [2] Department of Genetics, Washington University, St. Louis, MO, USA
| | - Arpana Agrawal
- Department of Psychiatry, Washington University, St. Louis, MO, USA
| | - Rob Culverhouse
- Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Kathleen Bucholz
- Department of Psychiatry, Washington University, St. Louis, MO, USA
| | - Andy Brooks
- Department of Genetics, Rutgers University, Piscataway, NJ
| | - Jay Tischfield
- Department of Genetics, Rutgers University, Piscataway, NJ
| | - Eric O Johnson
- Division of Health, Social and Economic Research, Research Triangle Institute International, Research Triangle Park, NC
| | - Howard Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN
| | - Marc Schuckit
- Department of Psychiatry, University of California-San Diego, La Jolla, CA
| | - Nancy Saccone
- Department of Genetics, Washington University, St. Louis, MO, USA
| | - Laura Bierut
- Department of Psychiatry, Washington University, St. Louis, MO, USA
| | - Alison Goate
- 1] Department of Psychiatry, Washington University, St. Louis, MO, USA [2] Department of Genetics, Washington University, St. Louis, MO, USA
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22
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Wetherill L, Kapoor M, Agrawal A, Bucholz K, Koller D, Bertelsen SE, Le N, Wang JC, Almasy L, Hesselbrock V, Kramer J, Nurnberger JI, Schuckit M, Tischfield JA, Xuei X, Porjesz B, Edenberg HJ, Goate AM, Foroud T. Family-based association analysis of alcohol dependence criteria and severity. Alcohol Clin Exp Res 2014; 38:354-66. [PMID: 24015780 PMCID: PMC3946798 DOI: 10.1111/acer.12251] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2012] [Accepted: 07/08/2013] [Indexed: 01/08/2023]
Abstract
BACKGROUND Despite the high heritability of alcohol dependence (AD), the genes found to be associated with it account for only a small proportion of its total variability. The goal of this study was to identify and analyze phenotypes based on homogeneous classes of individuals to increase the power to detect genetic risk factors contributing to the risk of AD. METHODS The 7 individual DSM-IV criteria for AD were analyzed using latent class analysis (LCA) to identify classes defined by the pattern of endorsement of the criteria. A genome-wide association study was performed in 118 extended European American families (n = 2,322 individuals) densely affected with AD to identify genes associated with AD, with each of the 7 DSM-IV criteria, and with the probability of belonging to 2 of 3 latent classes. RESULTS Heritability for DSM-IV AD was 61% and ranged from 17 to 60% for the other phenotypes. A single nucleotide polymorphism (SNP) in the olfactory receptor OR51L1 was significantly associated (7.3 × 10(-8) ) with the DSM-IV criterion of persistent desire to, or inability to, cut down on drinking. LCA revealed a 3-class model: the "low-risk" class (50%) rarely endorsed any criteria and none met criteria for AD; the "moderate-risk" class (33%) endorsed primarily 4 DSM-IV criteria and 48% met criteria for AD; and the "high-risk" class (17%) manifested high endorsement probabilities for most criteria and nearly all (99%) met criteria for AD. One SNP in a sodium leak channel NALCN demonstrated genome-wide significance with the high-risk class (p = 4.1 × 10(-8) ). Analyses in an independent sample did not replicate these associations. CONCLUSIONS We explored the genetic contribution to several phenotypes derived from the DSM-IV AD criteria. The strongest evidence of association was with SNPs in NALCN and OR51L1.
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Affiliation(s)
| | | | | | | | | | | | - Nhung Le
- Washington University School of Medicine
| | | | | | | | - John Kramer
- University of Iowa Carver College of Medicine
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23
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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] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 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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Haller G, Kapoor M, Budde J, Xuei X, Edenberg H, Nurnberger J, Kramer J, Brooks A, Tischfield J, Almasy L, Agrawal A, Bucholz K, Rice J, Saccone N, Bierut L, Goate A. Rare missense variants in CHRNB3 and CHRNA3 are associated with risk of alcohol and cocaine dependence. Hum Mol Genet 2013; 23:810-9. [PMID: 24057674 DOI: 10.1093/hmg/ddt463] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Previous findings have demonstrated that variants in nicotinic receptor genes are associated with nicotine, alcohol and cocaine dependence. Because of the substantial comorbidity, it has often been unclear whether a variant is associated with multiple substances or whether the association is actually with a single substance. To investigate the possible contribution of rare variants to the development of substance dependencies other than nicotine dependence, specifically alcohol and cocaine dependence, we undertook pooled sequencing of the coding regions and flanking sequence of CHRNA5, CHRNA3, CHRNB4, CHRNA6 and CHRNB3 in 287 African American and 1028 European American individuals from the Collaborative Study of the Genetics of Alcoholism (COGA). All members of families for whom any individual was sequenced (2504 African Americans and 7318 European Americans) were then genotyped for all variants identified by sequencing. For each gene, we then tested for association using FamSKAT. For European Americans, we find increased DSM-IV cocaine dependence symptoms (FamSKAT P = 2 × 10(-4)) and increased DSM-IV alcohol dependence symptoms (FamSKAT P = 5 × 10(-4)) among carriers of missense variants in CHRNB3. Additionally, one variant (rs149775276; H329Y) shows association with both cocaine dependence symptoms (P = 7.4 × 10(-5), β = 2.04) and alcohol dependence symptoms (P = 2.6 × 10(-4), β = 2.04). For African Americans, we find decreased cocaine dependence symptoms among carriers of missense variants in CHRNA3 (FamSKAT P = 0.005). Replication in an independent sample supports the role of rare variants in CHRNB3 and alcohol dependence (P = 0.006). These are the first results to implicate rare variants in CHRNB3 or CHRNA3 in risk for alcohol dependence or cocaine dependence.
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Chorlian DB, Rangaswamy M, Manz N, Wang JC, Dick D, Almasy L, Bauer L, Bucholz K, Foroud T, Hesselbrock V, Kang SJ, Kramer J, Kuperman S, Nurnberger J, Rice J, Schuckit M, Tischfield J, Edenberg HJ, Goate A, Bierut L, Porjesz B. Genetic and neurophysiological correlates of the age of onset of alcohol use disorders in adolescents and young adults. Behav Genet 2013; 43:386-401. [PMID: 23963516 PMCID: PMC4110722 DOI: 10.1007/s10519-013-9604-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2012] [Accepted: 07/26/2013] [Indexed: 10/26/2022]
Abstract
Discrete time survival analysis was used to assess the age-specific association of event-related oscillations (EROs) and CHRM2 gene variants on the onset of regular alcohol use and alcohol dependence. The subjects were 2,938 adolescents and young adults ages 12-25. Results showed that the CHRM2 gene variants and ERO risk factors had hazards which varied considerably with age. The bulk of the significant age-specific associations occurred in those whose age of onset was under 16. These associations were concentrated in those subjects who at some time took an illicit drug. These results are consistent with studies which associate greater rates of alcohol dependence among those who begin drinking at an early age. The age specificity of the genetic and neurophysiological factors is consistent with recent studies of adolescent brain development, which locate an interval of heightened vulnerability to substance use disorders in the early to mid teens.
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Affiliation(s)
- David B Chorlian
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, 450 Clarkson Ave., Brooklyn, NY, USA.
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Perry BL, Pescosolido BA, Bucholz K, Edenberg H, Kramer J, Kuperman S, Schuckit MA, Nurnberger JI. Gender-specific gene-environment interaction in alcohol dependence: the impact of daily life events and GABRA2. Behav Genet 2013; 43:402-14. [PMID: 23974430 DOI: 10.1007/s10519-013-9607-9] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2012] [Accepted: 08/03/2013] [Indexed: 11/26/2022]
Abstract
Gender-moderated gene-environment interactions are rarely explored, raising concerns about inaccurate specification of etiological models and inferential errors. The current study examined the influence of gender, negative and positive daily life events, and GABRA2 genotype (SNP rs279871) on alcohol dependence, testing two- and three-way interactions between these variables using multi-level regression models fit to data from 2,281 White participants in the Collaborative Study on the Genetics of Alcoholism. Significant direct effects of variables of interest were identified, as well as gender-specific moderation of genetic risk on this SNP by social experiences. Higher levels of positive life events were protective for men with the high-risk genotype, but not among men with the low-risk genotype or women, regardless of genotype. Our findings support the disinhibition theory of alcohol dependence, suggesting that gender differences in social norms, constraints and opportunities, and behavioral undercontrol may explain men and women's distinct patterns of association.
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Affiliation(s)
- Brea L Perry
- Department of Sociology, University of Kentucky, 1515 Patterson Office Tower, Lexington, KY 40506-0027, USA.
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27
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Hasin DS, O’Brien CP, Auriacombe M, Borges G, Bucholz K, Budney A, Compton WM, Crowley T, Ling W, Petry NM, Schuckit M, Grant BF. DSM-5 criteria for substance use disorders: recommendations and rationale. Am J Psychiatry 2013; 170:834-51. [PMID: 23903334 PMCID: PMC3767415 DOI: 10.1176/appi.ajp.2013.12060782] [Citation(s) in RCA: 789] [Impact Index Per Article: 71.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Since DSM-IV was published in 1994, its approach to substance use disorders has come under scrutiny. Strengths were identified (notably, reliability and validity of dependence), but concerns have also arisen. The DSM-5 Substance-Related Disorders Work Group considered these issues and recommended revisions for DSM-5. General concerns included whether to retain the division into two main disorders (dependence and abuse), whether substance use disorder criteria should be added or removed, and whether an appropriate substance use disorder severity indicator could be identified. Specific issues included possible addition of withdrawal syndromes for several substances, alignment of nicotine criteria with those for other substances, addition of biomarkers, and inclusion of nonsubstance, behavioral addictions.This article presents the major issues and evidence considered by the work group, which included literature reviews and extensive new data analyses. The work group recommendations for DSM-5 revisions included combining abuse and dependence criteria into a single substance use disorder based on consistent findings from over 200,000 study participants, dropping legal problems and adding craving as criteria, adding cannabis and caffeine withdrawal syndromes, aligning tobacco use disorder criteria with other substance use disorders, and moving gambling disorders to the chapter formerly reserved for substance-related disorders. The proposed changes overcome many problems, while further studies will be needed to address issues for which less data were available.
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Hasin DS, Auriacombe M, Borges G, Bucholz K, Budney A, Crowley T, Grant BF, O’Brien C, Petry NM, Schuckit M, Wall MM. The DSM-5 field trials and reliability of alcohol use disorder. Am J Psychiatry 2013; 170:442-3. [PMID: 23545795 PMCID: PMC4290854 DOI: 10.1176/appi.ajp.2013.13010032] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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29
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Harari O, Wang JC, Bucholz K, Edenberg HJ, Heath A, Martin NG, Pergadia ML, Montgomery G, Schrage A, Bierut LJ, Madden PF, Goate AM. Pathway analysis of smoking quantity in multiple GWAS identifies cholinergic and sensory pathways. PLoS One 2012; 7:e50913. [PMID: 23227220 PMCID: PMC3515482 DOI: 10.1371/journal.pone.0050913] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2012] [Accepted: 10/25/2012] [Indexed: 11/25/2022] Open
Abstract
Cigarette smoking is a common addiction that increases the risk for many diseases, including lung cancer and chronic obstructive pulmonary disease. Genome-wide association studies (GWAS) have successfully identified and validated several susceptibility loci for nicotine consumption and dependence. However, the trait variance explained by these genes is only a small fraction of the estimated genetic risk. Pathway analysis complements single marker methods by including biological knowledge into the evaluation of GWAS, under the assumption that causal variants lie in functionally related genes, enabling the evaluation of a broad range of signals. Our approach to the identification of pathways enriched for multiple genes associated with smoking quantity includes the analysis of two studies and the replication of common findings in a third dataset. This study identified pathways for the cholinergic receptors, which included SNPs known to be genome-wide significant; as well as novel pathways, such as genes involved in the sensory perception of smell, that do not contain any single SNP that achieves that stringent threshold.
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Affiliation(s)
- Oscar Harari
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Jen-Chyong Wang
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Kathleen Bucholz
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Howard J. Edenberg
- Department of Biochemistry and Molecular Biology, School of Medicine, Indiana University, Indianapolis, Indiana, United States of America
| | - Andrew Heath
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Nicholas G. Martin
- Genetic Epidemiology, Queensland Institute of Medical Research, Brisbane, Australia
| | - Michele L. Pergadia
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Grant Montgomery
- Molecular Epidemology, Queensland Institute of Medical Research, Brisbane, Australia
| | - Andrew Schrage
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Laura J. Bierut
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Pamela F. Madden
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Alison M. Goate
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, United States of America
- * E-mail:
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30
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Lin P, Hartz SM, Wang JC, Agrawal A, Zhang TX, McKenna N, Bucholz K, Brooks AI, Tischfield JA, Edenberg HJ, Hesselbrock VM, Kramer JR, Kuperman S, Schuckit MA, Goate AM, Bierut LJ, Rice JP. Copy number variations in 6q14.1 and 5q13.2 are associated with alcohol dependence. Alcohol Clin Exp Res 2012; 36:1512-8. [PMID: 22702843 DOI: 10.1111/j.1530-0277.2012.01758.x] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2011] [Accepted: 12/25/2011] [Indexed: 11/28/2022]
Abstract
BACKGROUND Excessive alcohol use is the third leading cause of preventable death and is highly correlated with alcohol dependence, a heritable phenotype. Many genetic factors for alcohol dependence have been found, but many remain unknown. In search of additional genetic factors, we examined the association between Diagnostic and StatisticalManual of Mental Disorders, Fourth Edition (DSM-IV) alcohol dependence and all common copy number variations (CNVs) with good reliability in the Study of Addiction: Genetics and Environment (SAGE). METHODS All participants in SAGE were interviewed using the Semi-Structured Assessment for the Genetics of Alcoholism, as a part of 3 contributing studies. A total of 2,610 non-Hispanic European American samples were genotyped on the Illumina Human 1M array. We performed CNV calling by CNVPartition, PennCNV, and QuantiSNP, and only CNVs identified by all 3 software programs were examined. Association was conducted with the CNV (as a deletion/duplication) as well as with probes in the CNV region. Quantitative polymerase chain reaction (qPCR) was used to validate the CNVs in the laboratory. RESULTS CNVs in 6q14.1 (p = 1.04 × 10(-6)) and 5q13.2 (p = 3.37 × 10(-4)) were significantly associated with alcohol dependence after adjusting multiple tests. On chromosome 5q13.2, there were multiple candidate genes previously associated with various neurological disorders. The region on chromosome 6q14.1 is a gene desert that has been associated with mental retardation and language delay. The CNV in 5q13.2 was validated, whereas only a component of the CNV on 6q14.1 was validated by qPCR. Thus, the CNV on 6q14.1 should be viewed with caution. CONCLUSIONS This is the first study to show an association between DSM-IV alcohol dependence and CNVs. CNVs in regions previously associated with neurological disorders may be associated with alcohol dependence.
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Affiliation(s)
- Peng Lin
- Department of Psychiatry, Washington University, St. Louis, Missouri, USA
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31
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Bucholz K, Agrawal A, Kramer J, Schuckit M, Kuperman S, Hesselbrock V, Hesselbrock M, Chan G, Colleagues C, Bruijn CHD, Preuss U, Watzke S, Fehr C, Koller G, Soyka M, Wurst FM. S01 * ALCOHOL USE DISORDER DSM V DRAFT CRITERIA: DEVELOPMENT AND APPLICABILITY IN ADOLESCENT AND ADULT SAMPLES * S01.1 * DSM V DEVELOPMENT AND APPLICABILITY TO ADOLESCENT/YOUNG ADULT POPULATIONS. Alcohol Alcohol 2011. [DOI: 10.1093/alcalc/agr086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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32
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Dick DM, Aliev F, Krueger RF, Edwards A, Agrawal A, Lynskey M, Lin P, Schuckit M, Hesselbrock V, Nurnberger J, Almasy L, Porjesz B, Edenberg HJ, Bucholz K, Kramer J, Kuperman S, Bierut L. Genome-wide association study of conduct disorder symptomatology. Mol Psychiatry 2011; 16:800-8. [PMID: 20585324 PMCID: PMC3580835 DOI: 10.1038/mp.2010.73] [Citation(s) in RCA: 91] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2009] [Revised: 04/23/2010] [Accepted: 05/05/2010] [Indexed: 11/08/2022]
Abstract
Conduct disorder (CD) is one of the most prevalent childhood psychiatric conditions, and is associated with a number of serious concomitant and future problems. CD symptomatology is known to have a considerable genetic component, with heritability estimates in the range of 50%. Despite this, there is a relative paucity of studies aimed at identifying genes involved in the susceptibility to CD. In this study, we report results from a genome-wide association study of CD symptoms. CD symptoms were retrospectively reported by a psychiatric interview among a sample of cases and controls, in which cases met the criteria for alcohol dependence. Our primary phenotype was the natural log transformation of the number of CD symptoms that were endorsed, with data available for 3963 individuals who were genotyped on the Illumina Human 1M beadchip array. Secondary analyses are presented for case versus control status, in which caseness was established as endorsing three or more CD symptoms (N = 872 with CD and N = 3091 without CD). We find four markers that meet the criteria for genome-wide significance (P<5 × 10(-8)) with the CD symptom count, two of which are located in the gene C1QTNF7 (C1q and tumor necrosis factor-related protein 7). There were six additional SNPs in the gene that yielded converging evidence of association. These data provide the first evidence of a specific gene that is associated with CD symptomatology. None of the top signals resided in traditional candidate genes, underscoring the importance of a genome-wide approach for identifying novel variants involved in this serious childhood disorder.
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Affiliation(s)
- D M Dick
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA.
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33
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Bauer L, Dick D, Bierut L, Bucholz K, Edenberg H, Kuperman S, Kramer J, Nurnberger J, O'Connor S, Rice J, Rohrbaugh J, Schuckit M, Tischfield J, Porjesz B, Hesselbrock V. Obesity, smoking, and frontal brain dysfunction. Am J Addict 2010; 19:391-400. [PMID: 20716301 DOI: 10.1111/j.1521-0391.2010.00069.x] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Obesity, smoking, and conduct problems have all been associated with decrements in brain function. However, their additive and interactive effects have rarely been examined. To address the deficiency, we studied P300a and P300b electroencephalographic potentials in 218 women grouped by the presence versus absence of: (1) a BMI > or = 30 kg/m(2); (2) recent smoking; and (3) > or = 2 childhood conduct problems. Analyses revealed smaller P300a and P300b amplitudes over the posterior scalp among recent smokers versus nonsmokers. No corresponding group differences were found in P300 latencies or frontal scalp amplitudes. The most interesting analysis result was an interaction between conduct problems and obesity limited to the frontally generated P300a component: its latency was significantly greater in women with both attributes than in those with either or neither attribute. An exploratory ANOVA, substituting the genotype of a GABRA2 SNP for conduct problems, also demonstrated an interaction with obesity affecting P300a latency. It is hypothesized that conduct problems, and a conduct-problem-associated GABRA2 genotype, decrease the age-of-onset and/or increase the lifetime duration of obesity. As a result, they may potentiate the adverse effects of obesity on frontal white matter and thereby increase P300a latency. Smoking may affect brain function by a different mechanism to reduce posterior scalp P300a and P300b amplitudes while preserving frontal scalp P300a latency and amplitude.
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Affiliation(s)
- Lance Bauer
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, Connecticut 06030-2103, USA.
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Wang JC, Grucza R, Cruchaga C, Hinrichs AL, Bertelsen S, Budde JP, Fox L, Goldstein E, Reyes O, Saccone N, Saccone S, Xuei X, Bucholz K, Kuperman S, Nurnberger J, Rice JP, Schuckit M, Tischfield J, Hesselbrock V, Porjesz B, Edenberg HJ, Bierut LJ, Goate AM. Genetic variation in the CHRNA5 gene affects mRNA levels and is associated with risk for alcohol dependence. Mol Psychiatry 2009; 14:501-10. [PMID: 18414406 PMCID: PMC4381434 DOI: 10.1038/mp.2008.42] [Citation(s) in RCA: 181] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Alcohol dependence frequently co-occurs with cigarette smoking, another common addictive behavior. Evidence from genetic studies demonstrates that alcohol dependence and smoking cluster in families and have shared genetic vulnerability. Recently a candidate gene study in nicotine dependent cases and nondependent smoking controls reported strong associations between a missense mutation (rs16969968) in exon 5 of the CHRNA5 gene and a variant in the 3'-UTR of the CHRNA3 gene and nicotine dependence. In this study we performed a comprehensive association analysis of the CHRNA5-CHRNA3-CHRNB4 gene cluster in the Collaborative Study on the Genetics of Alcoholism (COGA) families to investigate the role of genetic variants in risk for alcohol dependence. Using the family-based association test, we observed that a different group of polymorphisms, spanning CHRNA5-CHRNA3, demonstrate association with alcohol dependence defined by Diagnostic and Statistical Manual of Mental Disorders, 4th edn (DSM-IV) criteria. Using logistic regression we replicated this finding in an independent case-control series from the family study of cocaine dependence. These variants show low linkage disequilibrium with the SNPs previously reported to be associated with nicotine dependence and therefore represent an independent observation. Functional studies in human brain reveal that the variants associated with alcohol dependence are also associated with altered steady-state levels of CHRNA5 mRNA.
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Affiliation(s)
- JC Wang
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - R Grucza
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - C Cruchaga
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - AL Hinrichs
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - S Bertelsen
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - JP Budde
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - L Fox
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - E Goldstein
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - O Reyes
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - N Saccone
- Department of Genetics, Washington University School of Medicine, Saint Louis, MO, USA
| | - S Saccone
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - X Xuei
- Department of Biochemistry and Molecular Genetics, Indiana University, Indianapolis, IN, USA
| | - K Bucholz
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - S Kuperman
- Division of Child Psychiatry, University of Iowa, Iowa City, IA, USA
| | - J Nurnberger
- Department of Psychiatry, Indiana University, Indianapolis, IN, USA
| | - JP Rice
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - M Schuckit
- Department of Psychiatry, San Diego VA Medical Center, UCSD, San Diego, CA, USA
| | - J Tischfield
- Department of Genetics/HGI, Rutgers University, Piscataway, NJ, USA
| | - V Hesselbrock
- Department of Psychiatry, University of Connecticut, Farmington, CT, USA
| | - B Porjesz
- Department of Psychiatry, SUNY Health Science Center, Brooklyn, NY, USA
| | - HJ Edenberg
- Department of Biochemistry and Molecular Genetics, Indiana University, Indianapolis, IN, USA
| | - LJ Bierut
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - AM Goate
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA,Department of Genetics, Washington University School of Medicine, Saint Louis, MO, USA,Department of Neurology, Washington University School of Medicine, Saint Louis, MO, USA
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35
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Edenberg HJ, Xuei X, Wetherill LF, Bierut L, Bucholz K, Dick DM, Hesselbrock V, Kuperman S, Porjesz B, Schuckit MA, Tischfield JA, Almasy LA, Nurnberger JI, Foroud T. Association of NFKB1, which encodes a subunit of the transcription factor NF-kappaB, with alcohol dependence. Hum Mol Genet 2007; 17:963-70. [PMID: 18079108 DOI: 10.1093/hmg/ddm368] [Citation(s) in RCA: 69] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
A broad region on chromosome 4q has been linked to alcohol dependence (alcoholism). We hypothesized that such broad linkage regions represent the combined action of multiple genes. Seeking to identify genes within that region that are associated with alcoholism, we have tested the association of NFKB1, located at 4q24, with alcoholism. NFKB1 encodes a 105 kDa transcription inhibitor that is cleaved to the 50 kDa DNA-binding subunit of the ubiquitous transcription factor NF-kappaB. NF-kappaB regulates many genes relevant to brain function, and its actions can be potentiated by ethanol; thus, NFKB1 is an excellent candidate gene for alcoholism. Nineteen SNPs in and near NFKB1 were analyzed in a sample of 219 multiplex alcoholic families of European American descent. Family-based association analyses detected significant evidence of association with eight SNPs and marginal evidence for five more. The association was driven by the affected individuals with earlier onset of alcoholism (55% of the sample with onset < or =21 years). Further analysis of the age of onset as a quantitative variable provided evidence for the association of 12 SNPs in this gene. Thus, variations in NFKB1 appear to affect the risk for alcoholism, particularly contributing to an earlier onset of the disease.
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36
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Xuei X, Dick D, Flury-Wetherill L, Tian HJ, Agrawal A, Bierut L, Goate A, Bucholz K, Schuckit M, Nurnberger J, Tischfield J, Kuperman S, Porjesz B, Begleiter H, Foroud T, Edenberg HJ. Association of the kappa-opioid system with alcohol dependence. Mol Psychiatry 2006; 11:1016-24. [PMID: 16924269 DOI: 10.1038/sj.mp.4001882] [Citation(s) in RCA: 132] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Opioid receptors and their endogenous peptide ligands play important roles in the reward and reinforcement of drugs such as heroin, cocaine, and alcohol. The binding of dynorphins to the kappa-opioid receptor has been shown to produce aversive states, which may prevent the development of reinforcement. We genotyped SNPs throughout OPRK1, encoding the kappa-opioid receptor, and PDYN, which encodes its ligand prodynorphin, in a group of 1860 European American individuals from 219 multiplex alcohol dependent families. Family-based analyses demonstrated associations between alcohol dependence and multiple SNPs in the promoter and 3' end of PDYN, and in intron 2 of OPRK1. Haplotype analyses further supported the association of PDYN. Thus, variations in the genes encoding both the kappa-opioid receptor and its ligand, OPRK1 and PDYN, are associated with the risk for alcohol dependence; this makes biological sense as variations in either should affect signaling through the kappa-opioid system.
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Affiliation(s)
- X Xuei
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
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Ergezinger M, Bohnet M, Berensmeier S, Bucholz K. Integrated Enzymatic Synthesis and Adsorption of Isomaltose in a Multiphase Fluidized Bed Reactor. Eng Life Sci 2006. [DOI: 10.1002/elsc.200620151] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
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38
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Schuckit MA, Windle M, Smith TL, Hesselbrock V, Ohannessian C, Averna S, Bauer L, Kramer J, Bucholz K, Sher KJ. Searching for the full picture: structural equation modeling in alcohol research. Alcohol Clin Exp Res 2006; 30:194-202. [PMID: 16441268 DOI: 10.1111/j.1530-0277.2006.00031.x] [Citation(s) in RCA: 31] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
This article summarizes the proceedings of a symposium presented at the 2005 Research Society on Alcoholism meeting in Santa Barbara, California. This symposium begins with a description by Michael Windle of structural equation modeling (SEM), including the assets and liabilities of this approach. Next, Marc Schuckit and Tom Smith demonstrate the application of an SEM approach to understanding the impact of a low level of response to alcohol, using data from both adolescent and adult populations. Victor Hesselbrock and colleagues next review the results when an SEM approach is used in the longitudinal study of externalizing behaviors. This is followed by a description of the application of SEM to an affect-related model as discussed by John Kramer and Kathleen Bucholz. Finally, Kenneth Sher offers thoughts on how to place these findings into perspective.
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Affiliation(s)
- Marc A Schuckit
- Department of Psychiatry, University of California at San Diego and VA San Diego Healthcare System, San Diego, California 92161-2002, USA.
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Gogineni A, King S, Jackson K, Kramer J, Bucholz K, Chan G, Iacono W, Kuperman S, Larkins JM, Longabaugh R, McGue M, Polgreen L, Sher KJ, Stout R, Strong D, Woolard R. Female offspring of alcoholic individuals: recent findings on alcoholism and psychopathology risks: symposium presented at the Research Society on Alcoholism, 2004, Vancouver Aruna Gogineni, Chair. Alcohol Clin Exp Res 2006; 30:377-87. [PMID: 16441287 DOI: 10.1111/j.1530-0277.2006.00042.x] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Aruna Gogineni
- Brown University Medical School, Providence, Rhode Island, USA
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Schuckit MA, Smith TL, Danko GP, Anderson KG, Brown SA, Kuperman S, Kramer J, Hesselbrock V, Bucholz K. Evaluation of a level of response to alcohol-based structural equation model in adolescents. ACTA ACUST UNITED AC 2005; 66:174-84. [PMID: 15957668 DOI: 10.15288/jsa.2005.66.174] [Citation(s) in RCA: 37] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE A low level of response (LR) to alcohol relates to a family history of alcoholism and predicts future heavier drinking and alcohol-related problems. The current analyses evaluate how LR functions within the context of a Social Information Processing Model, using 238 subjects aged 13 to 19 years from the Collaborative Study on the Genetics of Alcoholism (COGA). METHOD A structural equation model (SEM) was used to evaluate the relationship among (1) a family history (FH) of alcoholism, (2) the LR to alcohol, (3) expectations as measured by the Alcohol Expectancy Questionnaire and (4) the recent pattern of drinking among parents in the home as predictors of the maximum recent quantity of drinking, the maximum number of drinks ever consumed in 24 hours and the number of alcohol problems in the teenage subjects. RESULTS When tested in the SEM, LR functioned as a mediator of the relationship between an FH of alcoholism and alcoholic outcome, and expectancy functioned as a partial mediator of the relationship between LR and outcome. Invariance testing revealed that the SEM performed similarly in light and heavy drinkers, the two sexes, and older versus young subjects. Both the measurement model and SEM had good characteristics of fit, and direct paths within the model explained 49% of the variance of outcome. CONCLUSIONS Consistent with results from the San Diego Prospective Study, when tested in the more heterogeneous COGA population, LR functioned as a mediator of the relationship between the FH and alcoholic outcome. In these adolescents, LR not only had a direct relationship to alcoholic outcome but, in contrast to prior results in adults, also appeared to operate through expectations of the effects of alcohol in predicting heavier drinking and a higher rate of alcohol-related problems among teenagers.
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Affiliation(s)
- Marc A Schuckit
- Department of Psychiatry (116A), University of California, San Diego, and the VA San Diego Healthcare System, San Diego, California 92161-2002, USA.
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Nurnberger JI, Wiegand R, Bucholz K, O'Connor S, Meyer ET, Reich T, Rice J, Schuckit M, King L, Petti T, Bierut L, Hinrichs AL, Kuperman S, Hesselbrock V, Porjesz B. A family study of alcohol dependence: coaggregation of multiple disorders in relatives of alcohol-dependent probands. ACTA ACUST UNITED AC 2004; 61:1246-56. [PMID: 15583116 DOI: 10.1001/archpsyc.61.12.1246] [Citation(s) in RCA: 176] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
BACKGROUND Alcohol dependence tends to aggregate within families. We analyzed data from the family collection of the Collaborative Study on the Genetics of Alcoholism to quantify familial aggregation using several different criterion sets. We also assessed the aggregation of other psychiatric disorders in the same sample to identify areas of possible shared genetic vulnerability. DESIGN Age-corrected lifetime morbid risk was estimated in adult first-degree relatives of affected probands and control subjects for selected disorders. Diagnostic data were gathered by semistructured interview (the Semi-Structured Assessment for the Genetics of Alcoholism), family history, and medical records. Rates of illness were corrected by validating interview and family history reports against senior clinicians' all sources best estimate diagnoses. Sex, ethnicity, comorbidity, cohort effects, and site of ascertainment were also taken into account. RESULTS Including data from 8296 relatives of alcoholic probands and 1654 controls, we report lifetime risk rates of 28.8% and 14.4% for DSM-IV alcohol dependence in relatives of probands and controls, respectively; respective rates were 37.0% and 20.5% for the less stringent DSM-III-R alcohol dependence, 20.9% and 9.7% for any DSM-III-R diagnosis of nonalcohol nonnicotine substance dependence, and 8.1% and 5.2% for antisocial personality disorder. Rates of specific substance dependence were markedly increased in relatives of alcohol-dependent probands for cocaine, marijuana, opiates, sedatives, stimulants, and tobacco. Aggregation was also seen for panic disorder, obsessive-compulsive disorder, posttraumatic stress disorder, and major depression. CONCLUSIONS The risk of alcohol dependence in relatives of probands compared with controls is increased about 2-fold. The aggregation of antisocial personality disorder, drug dependence, anxiety disorders, and mood disorders suggests common mechanisms for these disorders and alcohol dependence within some families. These data suggest new phenotypes for molecular genetic studies and alternative strategies for studying the heterogeneity of alcohol dependence.
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Affiliation(s)
- John I Nurnberger
- Institute of Psychiatric Research, Department of Psychiatry, Indiana University School of Medicine, Indianapolis 46202-4887, USA.
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Dick DM, Li TK, Edenberg HJ, Hesselbrock V, Kramer J, Kuperman S, Porjesz B, Bucholz K, Goate A, Nurnberger J, Foroud T. A genome-wide screen for genes influencing conduct disorder. Mol Psychiatry 2004; 9:81-6. [PMID: 14699444 DOI: 10.1038/sj.mp.4001368] [Citation(s) in RCA: 79] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
While behavioral genetic studies have suggested that childhood conduct disorder is under genetic influence, studies aimed at gene identification are lacking. This study represents the first genome-wide linkage analysis directed toward identifying genes contributing to conduct disorder. Genome screens of retrospectively reported childhood conduct disorder and conduct disorder symptomatology were carried out in the genetically informative adult sample collected as part of the Collaborative Study on the Genetics of Alcoholism (COGA). The results suggest that regions on chromosomes 19 and 2 may contain genes conferring risk to conduct disorder. Interestingly, the same region on chromosome 2 has also been linked to alcohol dependence in this sample. Childhood conduct disorder is known to be associated with the susceptibility for future alcohol problems. Taken together, these findings suggest that some of the genes contributing to alcohol dependence in adulthood may also contribute to conduct disorder in childhood.
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Affiliation(s)
- D M Dick
- Indiana University, 975 West Walnut St., IB-130, Indianapolis, IN 46202-5251, USA
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Schuckit MA, Danko GP, Smith TL, Hesselbrock V, Kramer J, Bucholz K. A 5-year prospective evaluation of DSM-IV alcohol dependence with and without a physiological component. Alcohol Clin Exp Res 2003; 27:818-25. [PMID: 12766627 DOI: 10.1097/01.alc.0000067980.18461.33] [Citation(s) in RCA: 34] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND The DSM-III-R removed tolerance and withdrawal as required elements for a diagnosis of alcohol dependence. Although this practice was continued in DSM-IV, the more recent manual asked clinicians to note whether physiological aspects of withdrawal (tolerance and withdrawal) had ever been experienced. Few studies have determined the prognostic meaning of a history of a physiological component to DSM-IV alcohol dependence. METHODS Face-to-face structured interviews were used to evaluate the course of alcohol, drug, and psychiatric problems during the subsequent 5 years for 1094 alcohol-dependent men and women. These subjects had been classified into subgroups at the time of initial interview regarding evidence of tolerance or withdrawal, and all evaluations were based on DSM-IV criteria. At baseline, the application of DSM-IV diagnostic guidelines resulted in 649 (59.3%) individuals having a history of an alcohol withdrawal syndrome, with or without tolerance (group 1); 391 (35.7%) with histories of tolerance but not withdrawal (group 2); and 54 (4.9%) with no lifetime histories of tolerance or withdrawal (group 3). RESULTS During the 5-year follow-up, both the broad (group 1 plus 2 versus group 3) and narrow (group 1 versus group 2 plus group 3) definitions of physiological dependence were associated with more alcohol and drug problems. However, for most items, this differential primarily reflected differences between groups 1 and 3, with a less impressive effect by group 2. Although no group differences were noted for the rate of independent major depressive episodes, substance-induced depressions did differentiate among groups, a finding also most closely related to the distinction between groups 1 and 3. CONCLUSIONS These data support the prognostic importance of noting the presence of a physiological component in alcohol dependence and indicate the potential relevance of limiting the definition of a physiological component to withdrawal.
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Affiliation(s)
- M A Schuckit
- Department of Psychiatry, University of California-San Diego, 3350 La Jolla Village Drive, San Diego, CA 92161-2002, USA.
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Kuperman S, Schlosser SS, Kramer JR, Bucholz K, Hesselbrock V, Reich T, Reich W. Developmental sequence from disruptive behavior diagnosis to adolescent alcohol dependence. Am J Psychiatry 2001; 158:2022-6. [PMID: 11729019 DOI: 10.1176/appi.ajp.158.12.2022] [Citation(s) in RCA: 118] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE The authors sought to clinically describe the relationship of disruptive behavior disorders with both alcohol dependence and the use of a variety of substances. METHOD The Child Semi-Structured Assessment for the Genetics of Alcoholism was used to collect data on 54 adolescents with a diagnosis of alcohol dependence. The frequency and age at onset of the disruptive behavior disorder diagnoses were examined as well as age at first use of alcohol, tobacco, marijuana, and other street drugs. RESULTS Nearly three-quarters of the alcohol-dependent adolescents had at least one disruptive behavior disorder diagnosis. Attention deficit hyperactivity disorder (ADHD) typically occurred first, followed by conduct disorder. Substance use began with alcohol or tobacco, followed by marijuana and then other street drugs. Alcohol dependence began significantly later than the onset of either ADHD or conduct disorder and significantly later than the first use of tobacco. CONCLUSIONS Disruptive behavior diagnoses, particularly conduct disorder, typically precede the initiation of use of a variety of substances that, in turn, precede the diagnosis of alcohol dependence in adolescents.
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Affiliation(s)
- S Kuperman
- Department of Psychiatry, University of Iowa Hospitals and Clinics, Iowa City, IA 52242-1047, USA.
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Abstract
AIMS To determine the contribution of familial, interpersonal, academic and early substance use factors to relative risk for an alcohol dependence (AD) diagnosis in adolescents. METHODS Information on 619 adolescents and their 390 sets of biological parents was obtained using the adolescent version of the Child Semi-Structured Assessment for the Genetics of Alcoholism (C-SSAGA) and the adult counterpart of this instrument, the Semi-Structured Assessment for the Genetics of Alcoholism (SSAGA). The C-SSAGA elicits a wide range of environmental, social, and psychiatric diagnostic information. Specific domain scale scores associated with an adolescent AD were computed, and generalized estimating equations (GEE) modeling was used to determine the odds ratio (relative risk) of the specified risk domains for an alcohol dependence diagnosis. FINDINGS Risk factors for a DSM-III-R AD diagnosis included being at least 16 years of age, as well as negative parent-child interactions, school and personal-related difficulties (including the presence of an externalizing or internalizing DSM-III-R non-alcohol-related diagnosis), and early experimentations with a variety of substances. CONCLUSIONS An array of familial, interpersonal, academic and early substance use factors were strongly associated with adolescent AD. Given the findings of this study, further research to determine temporal relationships that might influence the onset of adolescent alcohol dependence is warranted.
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Affiliation(s)
- S Kuperman
- Department of Psychiatry, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
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Romeis JC, Scherrer JF, Xian H, Eisen SA, Bucholz K, Heath AC, Goldberg J, Lyons MJ, Henderson WG, True WR. Heritability of self-reported health. Health Serv Res 2000; 35:995-1010. [PMID: 11130808 PMCID: PMC1089180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/18/2023] Open
Abstract
OBJECTIVE To explore the contribution of genes and environmental factors to variation in a common measure (i.e., a five-point--excellent, very good, good, fair, and poor--Likert scale) of self-reported health. DATA SOURCES Data were analyzed from 4,638 male-male twin pair members of the Vietnam Era Twin (VET) Registry who responded to a 1987 health survey. STUDY DESIGN Varying models for the relationship between genetic and environmental influences on self-reported health were tested in an attempt to explain the relative contributions of additive genetic, shared and nonshared environmental effects, and health conditions reported since 1975 to perceived health status. DATA COLLECTION A mail and telephone survey of health was administered in 1987 to VET Registry twins. PRINCIPAL FINDINGS Variance component estimates under the best-fitting model included a 39.6 percent genetic contribution to self-reported health. In a model which included the effect of health condition, genes accounted for 32.5 percent and health condition accounted for 15.0 percent of the variance in self-reported health. The magnitude of the genetic contribution to perceived health status was not significantly different in a model with or without health condition. CONCLUSIONS These data suggest over one-third of the variability of self-reported health can be attributed to genes. Since perceived health status is a major predictor of morbidity, mortality, and health services utilization, future analyses should consider the role of heritable influences on traditional health services variables.
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Affiliation(s)
- J C Romeis
- School of Public Health, St. Louis University, MO 63108, USA
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Schuckit MA, Smith TL, Kalmijn J, Tsuang J, Hesselbrock V, Bucholz K. Response to alcohol in daughters of alcoholics: a pilot study and a comparison with sons of alcoholics. Alcohol Alcohol 2000; 35:242-8. [PMID: 10869242 DOI: 10.1093/alcalc/35.3.242] [Citation(s) in RCA: 107] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Drinking, but not alcohol-dependent, 18-29-year-old daughters of alcoholics (n = 38) from the Collaborative Study on the Genetics of Alcoholism were compared to 75 family-history-positive (FHP) men from the same families, and 68 family-history-negative (FHN) male controls. Subjects received 0.75 ml/kg of ethanol (for women), 0.9 ml/kg of ethanol (for men), and placebo, each of which was consumed over 8 min on different occasions. The breath-alcohol concentrations (BrAC) and reactions to alcohol [using the Subjective High Assessment Scale (SHAS) and body sway measures] were evaluated over 210 min. The results indicate that, despite slightly higher BrAC values for the FHP men, on the SHAS the FHP women and the FHP men demonstrated significantly lower scores than the FHN male controls, although the values for FHP men and women did not differ. On body sway, the FHP men showed evidence of less alcohol-related increases than FHN men, and there was a trend in the same direction for FHP women, but only early in the session (e.g. at 60 min). Pilot data for 11 FHN women revealed higher scores for both SHAS and body sway at 60 min, compared to FHP women, but, perhaps reflecting the small number of subjects, the family history differences were not significant. Overall, the results in FHP women resemble those for FHP men, and suggest that a low level of response to alcohol might also be a characteristic of daughters of alcoholics.
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Affiliation(s)
- M A Schuckit
- Department of Psychiatry, Veterans Affairs San Diego Healthcare System, CA 92161-2002, USA
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Eisen SA, Waterman B, Skinner CS, Scherrer JF, Romeis JC, Bucholz K, Heath A, Goldberg J, Lyons MJ, Tsuang MT, True WR. Sociodemographic and health status characteristics with prostate cancer screening in a national cohort of middle-aged male veterans. Urology 1999; 53:516-22. [PMID: 10096377 DOI: 10.1016/s0090-4295(98)00545-7] [Citation(s) in RCA: 35] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVES To characterize variables associated with obtaining prostate cancer screening in a nonclinical, nationally distributed, middle-aged male population. METHODS Telephone interviews were administered to 2652 individual members of the Vietnam Era Twin Registry in 1992 and 1995. Dependent variables were self-report measures of having had a digital rectal examination (DRE) and/or a prostate-specific antigen (PSA) test in the past 5 years. Independent variables were current measures of age, household income, education, race, insurance, source of care, and lifetime measures of physical condition, psychiatric illness, and alcohol and nicotine dependence. RESULTS Thirty-five percent of the sample reported having had a PSA and DRE within the past 5 years. Prevalence of obtaining either a PSA or DRE varied with age, income, education, and race. Subjects with a regular source of care, a regular physician, and health insurance reported higher rates of having had a DRE or PSA and DRE. Persons with a physical or psychiatric illness reported more screening. A multiple regression model revealed that having a regular source of care, having a regular physician, physical illness, psychiatric illness, minority status, higher income, and age predicted having had some form of screening. CONCLUSIONS A substantial portion of middle-aged men have had both a PSA and DRE performed at least once in the preceding 5 years. It may be possible to further improve prostate cancer screening participation by directing educational programs at men who are not in contact with the healthcare system. If the PSA and DRE screening guidelines that are finally adopted discourage screening among low-risk men younger than age 50, educational programs that emphasize age screening criteria may be warranted.
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Affiliation(s)
- S A Eisen
- Research Service and Medical Service, St. Louis Veterans Affairs Medical Center, MO 63106, USA
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Cloninger CR, Van Eerdewegh P, Goate A, Edenberg HJ, Blangero J, Hesselbrock V, Reich T, Nurnberger J, Schuckit M, Porjesz B, Crowe R, Rice JP, Foroud T, Przybeck TR, Almasy L, Bucholz K, Wu W, Shears S, Carr K, Crose C, Willig C, Zhao J, Tischfield JA, Li TK, Conneally PM. Anxiety proneness linked to epistatic loci in genome scan of human personality traits. Am J Med Genet 1998; 81:313-7. [PMID: 9674977 DOI: 10.1002/(sici)1096-8628(19980710)81:4<313::aid-ajmg7>3.0.co;2-u] [Citation(s) in RCA: 109] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
A genome-wide scan between normal human personality traits and a set of genetic markers at an average interval of 13 centimorgans was carried out in 758 pairs of siblings in 177 nuclear families of alcoholics. Personality traits were measured by the Tridimensional Personality Questionnaire. We detected significant linkage between the trait Harm Avoidance, a measure of anxiety proneness, and a locus on chromosome 8p21-23 that explained 38% of the trait variance. There was significant evidence of epistasis between the locus on 8p and others on chromosomes 18p, 20p, and 21q. These oligogenic interactions explained most of the variance in Harm Avoidance. There was suggestive evidence of epistasis in other personality traits. These results confirm the important influence of epistasis on human personality suggested by twin and adoption studies.
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MESH Headings
- Anxiety/genetics
- Chromosomes, Human, Pair 18
- Chromosomes, Human, Pair 20
- Chromosomes, Human, Pair 21
- Chromosomes, Human, Pair 8
- Epistasis, Genetic
- Genetic Linkage
- Genome, Human
- Humans
- Microsatellite Repeats
- Personality/genetics
- Quantitative Trait, Heritable
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Affiliation(s)
- C R Cloninger
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri 63110, USA.
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Reich T, Edenberg HJ, Goate A, Williams JT, Rice JP, Van Eerdewegh P, Foroud T, Hesselbrock V, Schuckit MA, Bucholz K, Porjesz B, Li TK, Conneally PM, Nurnberger JI, Tischfield JA, Crowe RR, Cloninger CR, Wu W, Shears S, Carr K, Crose C, Willig C, Begleiter H. Genome-wide search for genes affecting the risk for alcohol dependence. ACTA ACUST UNITED AC 1998. [DOI: 10.1002/(sici)1096-8628(19980508)81:3<207::aid-ajmg1>3.0.co;2-t] [Citation(s) in RCA: 524] [Impact Index Per Article: 20.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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