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Lai D, Kuo SIC, Wetherill L, Aliev F, Zhang M, Abreu M, Schwantes-An TH, Dick D, Francis MW, Johnson EC, Kamarajan C, Kinreich S, Kuperman S, Meyers J, Nurnberger JI, Liu Y, Edenberg HJ, Porjesz B, Agrawal A, Foroud T, Schuckit M, Plawecki MH, Bucholz KK, McCutcheon VV. Associations between alcohol use disorder polygenic score and remission in participants from high-risk families and the Indiana Biobank. ALCOHOL, CLINICAL & EXPERIMENTAL RESEARCH 2024; 48:283-294. [PMID: 38054532 PMCID: PMC10922306 DOI: 10.1111/acer.15239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 11/29/2023] [Accepted: 11/29/2023] [Indexed: 12/07/2023]
Abstract
BACKGROUND In the United States, ~50% of individuals who meet criteria for alcohol use disorder (AUD) during their lifetimes do not remit. We previously reported that a polygenic score for AUD (PGSAUD ) was positively associated with AUD severity as measured by DSM-5 lifetime criterion count, and AUD severity was negatively associated with remission. Thus, we hypothesized that PGSAUD would be negatively associated with remission. METHODS Individuals of European (EA) and African ancestry (AA) from the Collaborative Study on the Genetics of Alcoholism (COGA) who met lifetime criteria for AUD, and two EA cohorts ascertained for studies of liver diseases and substance use disorders from the Indiana Biobank were included. In COGA, 12-month remission was defined as any period of ≥12 consecutive months without meeting AUD criteria except craving and was further categorized as abstinent and non-abstinent. In the Indiana Biobank, remission was defined based on ICD codes and could not be further distinguished as abstinent or non-abstinent. Sex and age were included as covariates. COGA analyses included additional adjustment for AUD severity, family history of remission, and AUD treatment history. RESULTS In COGA EA, PGSAUD was negatively associated with 12-month and non-abstinent remission (p ≤ 0.013, βs between -0.15 and -0.10) after adjusting for all covariates. In contrast to the COGA findings, PGSAUD was positively associated with remission (p = 0.004, β = 0.28) in the Indiana Biobank liver diseases cohort but not in the Indiana Biobank substance use disorder cohort (p = 0.17, β = 0.15). CONCLUSIONS PGSAUD was negatively associated with 12-month and non-abstinent remission in COGA EA, independent of behavioral measures of AUD severity and family history of remission. The discrepant results in COGA and the Indiana Biobank could reflect different ascertainment strategies: the Indiana Biobank participants were older and had higher rates of liver disease, suggesting that these individuals remitted due to alcohol-related health conditions that manifested in later life.
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Affiliation(s)
- Dongbing Lai
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Sally I-Chun Kuo
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ
| | - Leah Wetherill
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Fazil Aliev
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ
| | - Michael Zhang
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Marco Abreu
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Tae-Hwi Schwantes-An
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Danielle Dick
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ
| | | | - Emma C. Johnson
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
| | - Chella Kamarajan
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Science University, NY
| | - Sivan Kinreich
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Science University, NY
| | - Samuel Kuperman
- Department of Psychiatry, University of Iowa Roy J and Lucille A Carver College of Medicine, Iowa City, IA
| | - Jacquelyn Meyers
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Science University, 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
| | - Yunlong Liu
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - 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
| | - Bernice Porjesz
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Science University, 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
| | - Marc Schuckit
- Department of Psychiatry, University of California, San Diego Medical School, San Diego, CA
| | - Martin H. Plawecki
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN
| | - Kathleen K. Bucholz
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
| | - Vivia V. McCutcheon
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
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Zhao R, Shi H, Yin J, Sun Z, Xu Y. Promoter Specific Methylation of SSTR4 is Associated With Alcohol Dependence in Han Chinese Males. Front Genet 2022; 13:915513. [PMID: 35754825 PMCID: PMC9218598 DOI: 10.3389/fgene.2022.915513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 05/16/2022] [Indexed: 11/13/2022] Open
Abstract
Alcohol dependence (AD), a disease can be affected by environmental factors with epigenetic modification like DNA methylation changes, is one of the most serious and complex public health problems in China and worldwide. Previous findings from our laboratory using the Illumina Infinium Human Methylation450 BeadChip suggested that methylation at the promoter of SSTR4 was one of the major form of DNA modification in alcohol-dependent populations. To investigate whether DNA methylation levels of the SSTR4 promoter influence alcohol-dependent behaviors, genomic DNA was extracted from the peripheral blood sample of 63 subjects with AD and 65 healthy controls, and pyrosequencing was used to verify the results of BeadChip array. Linear regression was used to analyze the correlation between the methylation levels of SSTR4 promoter and the scores of alcohol dependence scales. Gene expression of SSTR4 in brain tissue was obtained from the Genotype-Tissue Expression (GTEx) project and Human Brain Transcriptome database (HBT). We found the methylation levels of SSTR4 in AD group were significantly lower than healthy controls (two-tailed t-test, t = 14.723, p < 0.001). In addition, only weak to moderate correlations between the methylation levels of the SSTR4 promoter region and scale scores of Alcohol Use Disorders Identification Test (AUDIT), Life Events Scale (LES) and Wheatley Stress Profile (WSS) based on linear regression analyses (AUDIT: R 2 = 0.35, p < 0.001; LES: R 2 = 0.27, p < 0.001; WSS: R 2 = 0.49, p < 0.001). The hypomethylated status of SSTR4 may involve in the development of AD and increase the risk of AD persistence in Han Chinese males.
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Affiliation(s)
- Rongrong Zhao
- The First Affiliated Hospital and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China
| | - Huihui Shi
- The First Affiliated Hospital and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China
| | - Jiajun Yin
- Brain Science Basic Laboratory, The Affiliated Wuxi Mental Health Center with Nanjing Medical University, Wuxi, China
| | - Zhen Sun
- The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
| | - Yahui Xu
- The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
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Johnson EC, Sanchez-Roige S, Acion L, Adams MJ, Bucholz KK, Chan G, Chao MJ, Chorlian DB, Dick DM, Edenberg HJ, Foroud T, Hayward C, Heron J, Hesselbrock V, Hickman M, Kendler KS, Kinreich S, Kramer J, Kuo SIC, Kuperman S, Lai D, McIntosh AM, Meyers JL, Plawecki MH, Porjesz B, Porteous D, Schuckit MA, Su J, Zang Y, Palmer AA, Agrawal A, Clarke TK, Edwards AC. Polygenic contributions to alcohol use and alcohol use disorders across population-based and clinically ascertained samples. Psychol Med 2021; 51:1147-1156. [PMID: 31955720 PMCID: PMC7405725 DOI: 10.1017/s0033291719004045] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND Studies suggest that alcohol consumption and alcohol use disorders have distinct genetic backgrounds. METHODS We examined whether polygenic risk scores (PRS) for consumption and problem subscales of the Alcohol Use Disorders Identification Test (AUDIT-C, AUDIT-P) in the UK Biobank (UKB; N = 121 630) correlate with alcohol outcomes in four independent samples: an ascertained cohort, the Collaborative Study on the Genetics of Alcoholism (COGA; N = 6850), and population-based cohorts: Avon Longitudinal Study of Parents and Children (ALSPAC; N = 5911), Generation Scotland (GS; N = 17 461), and an independent subset of UKB (N = 245 947). Regression models and survival analyses tested whether the PRS were associated with the alcohol-related outcomes. RESULTS In COGA, AUDIT-P PRS was associated with alcohol dependence, AUD symptom count, maximum drinks (R2 = 0.47-0.68%, p = 2.0 × 10-8-1.0 × 10-10), and increased likelihood of onset of alcohol dependence (hazard ratio = 1.15, p = 4.7 × 10-8); AUDIT-C PRS was not an independent predictor of any phenotype. In ALSPAC, the AUDIT-C PRS was associated with alcohol dependence (R2 = 0.96%, p = 4.8 × 10-6). In GS, AUDIT-C PRS was a better predictor of weekly alcohol use (R2 = 0.27%, p = 5.5 × 10-11), while AUDIT-P PRS was more associated with problem drinking (R2 = 0.40%, p = 9.0 × 10-7). Lastly, AUDIT-P PRS was associated with ICD-based alcohol-related disorders in the UKB subset (R2 = 0.18%, p < 2.0 × 10-16). CONCLUSIONS AUDIT-P PRS was associated with a range of alcohol-related phenotypes across population-based and ascertained cohorts, while AUDIT-C PRS showed less utility in the ascertained cohort. We show that AUDIT-P is genetically correlated with both use and misuse and demonstrate the influence of ascertainment schemes on PRS analyses.
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Affiliation(s)
- Emma C Johnson
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Sandra Sanchez-Roige
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Laura Acion
- Department of Psychiatry, University of Iowa, Carver College of Medicine, Iowa City, IA, USA
| | - Mark J Adams
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Kathleen K Bucholz
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Grace Chan
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Michael J Chao
- Department of Neuroscience, Icahn School of Medicine at Mt. Sinai, New York, NY, USA
| | - David B Chorlian
- Department of Psychiatry, Suny Downstate Medical Center, Brooklyn, NY, 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
| | - Howard J Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Caroline Hayward
- MRC Human Genetics Unit, University of Edinburgh, Institute of Genetics and Molecular Medicine, Edinburgh, UK
| | - Jon Heron
- University of Bristol, Bristol Medical School, Population Health Sciences, Bristol, UK
| | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Matthew Hickman
- University of Bristol, Bristol Medical School, Population Health Sciences, Bristol, UK
| | - Kenneth S Kendler
- Department of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
| | - Sivan Kinreich
- Department of Psychiatry, Suny Downstate Medical Center, Brooklyn, NY, USA
| | - John Kramer
- Department of Psychiatry, University of Iowa, Carver College of Medicine, Iowa City, IA, USA
| | - Sally I-Chun Kuo
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, USA
| | - Samuel Kuperman
- Department of Psychiatry, University of Iowa, Carver College of Medicine, Iowa City, IA, USA
| | - Dongbing Lai
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | | | - Jacquelyn L Meyers
- Department of Psychiatry, Suny Downstate Medical Center, Brooklyn, NY, USA
| | - Martin H Plawecki
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Bernice Porjesz
- Department of Psychiatry, Suny Downstate Medical Center, Brooklyn, NY, USA
| | - David Porteous
- University of Edinburgh, Institute of Genetics & Molecular Medicine, Centre for Genomic and Experimental Medicine, Edinburgh, UK
| | - Marc A Schuckit
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Jinni Su
- Department of Psychology, Arizona State University, Tempe, AZ, USA
| | - Yong Zang
- Department of Biostatistics, Indiana University School of Medicine, Bloomington, IN, USA
| | - Abraham A Palmer
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
- University of California San Diego, Institute for Genomic Medicine, San Diego, CA, USA
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Toni-Kim Clarke
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Alexis C Edwards
- Department of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
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Koenig LB, Haber JR, Jacob T. Transitions in alcohol use over time: a survival analysis. BMC Psychol 2020; 8:115. [PMID: 33143748 PMCID: PMC7607670 DOI: 10.1186/s40359-020-00479-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Accepted: 10/22/2020] [Indexed: 11/10/2022] Open
Abstract
Background The current study examined the predictors of the onset of alcohol use as well as predictors of remission and relapse, both from heavy drinking and from alcohol dependence. Similarities and differences in both clinical and psychosocial predictors across the transitions were examined.
Methods A sample of men from the Vietnam Era Twin Registry (N = 1769) completed an assessment of lifetime drinking history, which allowed age markers for starting and stopping different drinking patterns. The men also completed various assessments regarding personality, alcohol motives, and psychiatric diagnoses. Survival analyses were used to examine the predictors of the three transitions of onset, remission, and relapse for the phenotypes of heavy drinking and of alcohol dependence, censoring the individuals who had not yet experienced an event. Results As expected, predictors of onset for drinking, heavy drinking, and alcohol dependence were largely consistent and included externalizing symptomology, nicotine dependence, and cotwin history of drinking as risk factors. Predictors of remission from heavy drinking, somewhat similarly to remission from alcohol dependence, included the risk factor of externalizing disorders but also, as predicted, included more risk and protective factors in the psychosocial realm that were not predictors of onset. Contrary to our prediction, relapse to heavy drinking and alcohol dependence were predicted largely by unique psychosocial risk and protective factors including social and coping motives. Conclusion Current findings extend the findings of past research to remission and relapse in the later decades of life and have implications for treatment of alcohol use problems.
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Affiliation(s)
- Laura B Koenig
- Winona State University, Winona, MN, USA. .,Department of Social Sciences, Southwest Minnesota State University, 1501 State Street, Marshall, MN, 56258, USA.
| | - Jon Randolph Haber
- Veterans Affairs Palo Alto Health Care System, 795 Willow Road, MC 151J, Menlo Park, CA, 94025, USA
| | - Theodore Jacob
- Veterans Affairs Palo Alto Health Care System, 795 Willow Road, MC 151J, Menlo Park, CA, 94025, USA
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Sliedrecht W, de Waart R, Witkiewitz K, Roozen HG. Alcohol use disorder relapse factors: A systematic review. Psychiatry Res 2019; 278:97-115. [PMID: 31174033 DOI: 10.1016/j.psychres.2019.05.038] [Citation(s) in RCA: 161] [Impact Index Per Article: 32.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2019] [Revised: 05/23/2019] [Accepted: 05/24/2019] [Indexed: 12/12/2022]
Abstract
A relapsing-remitting course is very common in patients with an Alcohol Use Disorder (AUD). Understanding the determinants associated with alcohol resumption remains a formidable task. This paper examines relapse determinants based on a systematic review of recent alcohol literature (2000-2019). Relevant databases were consulted for articles that contained information about specific relapse determinants and reported statistical significance of each relapse determinant in predicting relapse. Relapse was broadly defined based on the characterization in the included articles. From the initial identified 4613 papers, a total of 321 articles were included. Results encompass multiple relapse determinants, which were ordered according to biopsychosocial and spiritual categories, and presented, using a descriptive methodology. Psychiatric co-morbidity, AUD severity, craving, use of other substances, health and social factors were consistently significantly associated with AUD relapse. Conversely, supportive social network factors, self efficacy, and factors related to purpose and meaning in life, were protective against AUD relapse. Despite heterogeneity in different methods, measures, and sample characteristics, these findings may contribute to a better therapeutic understanding in which specific factors are associated with relapse and those that prevent relapse. Such factors may have a role in a personalized medicine framework to improve patient outcomes.
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Affiliation(s)
- Wilco Sliedrecht
- De Hoop GGZ, Provincialeweg 70, 3329 KP Dordrecht, the Netherlands.
| | - Ranne de Waart
- Mentrum/Arkin, Wisselwerking 46-48, 1112 XR Diemen, the Netherlands.
| | - Katie Witkiewitz
- The University of New Mexico (UNM), MSC 03-2220, Univ of New Mexico, Albuquerque, NM 87131, USA.
| | - Hendrik G Roozen
- The University of New Mexico (UNM), Center on Alcoholism, Substance Abuse, and Addictions (CASAA), MSC 11 6280, 1 Univ of New Mexico, Albuquerque, NM 87106, USA.
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Remission from Alcohol Use Disorder among Males in the Lundby Cohort during 1947-1997. PSYCHIATRY JOURNAL 2019; 2018:4829389. [PMID: 30643794 PMCID: PMC6311273 DOI: 10.1155/2018/4829389] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/01/2018] [Revised: 11/15/2018] [Accepted: 11/29/2018] [Indexed: 11/17/2022]
Abstract
Background Alcohol use disorders are a major health problem, often with a chronic course. Studies on remission from alcohol use disorders are sparse. Objective The aim of this study was to analyse the rate of remission from AUD and the possible influence of other mental disorders and sociodemographic factors on the remission in the Lundby Cohort. Method Remission from AUD was studied for 312 male subjects in the Lundby Cohort, which was followed for 50 years. Cox regression analyses were used to study the possible influence of sociodemographic variables and other mental disorders on AUD remission. Results In all, 64/312 (21%) subjects achieved remission during the study period. The presence of a severe mental disorder, such as delirium tremens and organic disorders, was related to remission. Blue-collar workers had higher rates of remission than white-collar workers. There was indication that treatment improved the prognosis. Conclusions The overall remission rate was low, but treatment may improve the prognosis. Severe mental disorders, such as delirium tremens and organic disorders as well as being blue-collar rather than white-collar worker, were related to remission.
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McCutcheon VV, Schuckit MA, Kramer JR, Chan G, Edenberg HJ, Smith TL, Bender AK, Hesselbrock V, Hesselbrock M, Bucholz KK. Familial association of abstinent remission from alcohol use disorder in first-degree relatives of alcohol-dependent treatment-seeking probands. Addiction 2017; 112:1909-1917. [PMID: 28556494 PMCID: PMC5633502 DOI: 10.1111/add.13890] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2016] [Revised: 01/05/2017] [Accepted: 05/22/2017] [Indexed: 01/24/2023]
Abstract
BACKGROUND AND AIMS Studies that have included family history of alcohol use disorder (AUD) as a predictor of remission from AUD have yielded few significant results. The goals of this study were to estimate the association of persistent AUD, non-abstinent remission and abstinent remission ('AUD/remission status') in a proband with AUD/remission status in a relative and to test whether this association differed in related and unrelated proband-relative pairs. DESIGN High-risk family study of alcohol dependence. Probands were recruited from treatment settings and relatives were invited to participate. Baseline assessments occurred between 1991 and 1998 with follow-up between 1996 and 2005. Half of probands were matched with a biological 1st-degree relative with life-time AUD (related group) and half of probands were paired with an unrelated individual with life-time AUD (unrelated group). SETTING Brooklyn, New York; Indianapolis, Indiana; Iowa City, Iowa; San Diego, California; Farmington, Connecticut; and St Louis, Missouri, USA. PARTICIPANTS A total of 606 probands (25.7% female, mean age 37.7) with baseline and follow-up data and 606 of their 1st-degree relatives who had life-ime AUDs (45.8% female, mean age 36.2 years). MEASUREMENTS Persistent AUD, non-abstinent remission and abstinent remission were based on self-report interview data on most recent AUD symptoms and alcohol consumption. Dependent variable was relatives' AUD/remission status. Independent variable was probands' AUD/remission status. FINDINGS A total of 34.6% of probands and 20.6% of relatives were abstinent and 11.1% of probands and 22.8% of relatives were in non-abstinent remission. AUD/remission status was correlated significantly in related (r = 0.23, P = 0.0037) but not in unrelated pairs. A significant interaction of probands' abstinent remission with a variable representing related (versus unrelated, P = 0.003) pairs suggested a familial association for abstinent remission. In related pairs, individuals with an abstinent proband were more likely to be abstinent themselves than were individuals whose proband had persistent AUD [relative risk ratio = 3.27, 95% confidence interval (CI) = 1.56-6.85, P = 0.002]; this association was not significant in unrelated pairs. CONCLUSIONS The likelihood of abstinent remission among people with alcohol use disorder appears to be more than three times greater for individuals who are related to an abstinent proband versus those related to a proband with persistent alcohol use disorder.
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Affiliation(s)
- Vivia V. McCutcheon
- Washington University School of Medicine, Dept. of Psychiatry, St. Louis, MO 63110
| | - Marc A. Schuckit
- University of California, San Diego, Dept. of Psychiatry, San Diego, CA 92093
| | | | - Grace Chan
- University of Connecticut School of Medicine, Dept. of Psychiatry, Farmington, CT 06030
| | - Howard J. Edenberg
- Indiana University School of Medicine, Dept. of Biochemistry and Molecular Biology, Indianapolis, IN 46202
| | - Tom L. Smith
- University of California, San Diego, Dept. of Psychiatry, San Diego, CA 92093
| | - Annah K. Bender
- University of Missouri, College of Nursing, St. Louis, MO 63121
| | - Victor Hesselbrock
- University of Connecticut School of Medicine, Dept. of Psychiatry, Farmington, CT 06030
| | - Michie Hesselbrock
- University of Connecticut School of Medicine, Dept. of Psychiatry, Farmington, CT 06030
| | - Kathleen K. Bucholz
- Washington University School of Medicine, Dept. of Psychiatry, St. Louis, MO 63110
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Vanyukov MM, Tarter RE, Conway KP, Kirillova GP, Chandler RK, Daley DC. Risk and resistance perspectives in translation-oriented etiology research. Transl Behav Med 2016; 6:44-54. [PMID: 27012252 DOI: 10.1007/s13142-015-0355-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Risk for a disorder and the mechanisms that determine its elevation, risk factors, are the focus of medical research. Targeting risk factors should serve the goal of prevention and treatment intervention. Risk, however, is but one of the aspects of liability to a disorder, a latent trait that encompasses effects of all factors leading to or from the diagnostic threshold. The coequal but opposite aspect of liability is resistance to a disorder. The factors that increase resistance and thus enable prevention or recovery may differ from those that elevate risk. Accordingly, there are nontrivial differences between research perspectives that focus on risk and on resistance. This article shows how this distinction translates into goals and methods of research and practice, from the choice of potential mechanisms tested to the results sought in intervention. The resistance concept also differs from those of "resilience" and "protective factors," subsuming but not limited to them. The implications of the concept are discussed using substance use disorder as an example and substantiate the need for biomedical research and its translation to shift to the resistance perspective.
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Affiliation(s)
- Michael M Vanyukov
- University of Pittsburgh, 3520 Forbes Ave., Suite 203, Pittsburgh, PA, 15213, USA.
| | - Ralph E Tarter
- University of Pittsburgh, 3520 Forbes Ave., Suite 203, Pittsburgh, PA, 15213, USA
| | - Kevin P Conway
- National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD, USA
| | - Galina P Kirillova
- University of Pittsburgh, 3520 Forbes Ave., Suite 203, Pittsburgh, PA, 15213, USA
| | - Redonna K Chandler
- National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD, USA
| | - Dennis C Daley
- University of Pittsburgh, 3520 Forbes Ave., Suite 203, Pittsburgh, PA, 15213, USA
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McCutcheon VV, Luke DA, Lessov-Schlaggar CN. Reduced Social Network Drinking is Associated with Improved Response Inhibition in Women During Early Recovery from Alcohol Use Disorders: A Pilot Study. Alcohol Clin Exp Res 2015; 40:170-7. [PMID: 26727533 DOI: 10.1111/acer.12925] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2014] [Accepted: 10/05/2015] [Indexed: 11/29/2022]
Abstract
BACKGROUND Social support for recovery from alcohol use disorders (AUDs) is associated with improvements in self-reported impulsive behavior in individuals treated for AUDs. We build on these findings using a behavioral task-based measure of response inhibition, a well-defined component of impulsivity, to examine the association of disinhibition with alcohol-specific social network characteristics during early recovery. METHODS Women (n = 28) were recruited from treatment for AUD within 3 to 4 weeks of their last drink and were assessed at baseline and again 3 months later. Outcome measures were level of disinhibition at baseline and change in disinhibition from baseline to follow-up, measured using a computer-based continuous performance test. The primary independent variables were level of drinking in the social network at baseline and change in network drinking from baseline to follow-up. RESULTS The sample [50% black, age M (SD) = 42.3 (9.5)] reported high rates of physical and sexual abuse before age 13 (43%), psychiatric disorder (71%), drug use disorder (78%), and previous treatment (71%). More drinking in participants' social networks was associated with greater disinhibition at baseline (β = 12.5, 95% CI = 6.3, 18.7). A reduction in network drinking from baseline to follow-up was associated with reduced disinhibition (β = -6.0, 95% CI = -11.3, -0.78) independent of IQ, recent alcohol consumption, and self-reported negative urgency. CONCLUSIONS This study extends previous findings of an association between social networks and self-reported impulsivity to a neurobehavioral phenotype, response inhibition, suggesting that abstinence-supporting social networks may play a role in cognitive change during early recovery from AUDs.
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Affiliation(s)
- Vivia V McCutcheon
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Douglas A Luke
- Brown School of Social Work, Washington University in St. Louis, St. Louis, Missouri
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Behavioral genetics and population health interventions for alcohol problems: at odds or oddly in agreement? Genet Med 2012; 15:272-3. [PMID: 22995990 PMCID: PMC3835068 DOI: 10.1038/gim.2012.127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
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