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Barr PB, Neale Z, Chatzinakos C, Schulman J, Mullins N, Zhang J, Chorlian DB, Kamarajan C, Kinreich S, Pandey AK, Pandey G, de Viteri SS, Acion L, Bauer L, Bucholz KK, Chan G, Dick DM, Edenberg HJ, Foroud T, Goate A, Hesselbrock V, Johnson EC, Kramer J, Lai D, Plawecki MH, Salvatore JE, Wetherill L, Agrawal A, Porjesz B, Meyers JL. Clinical, genomic, and neurophysiological correlates of lifetime suicide attempts among individuals with an alcohol use disorder. medRxiv 2024:2023.04.28.23289173. [PMID: 37162915 PMCID: PMC10168504 DOI: 10.1101/2023.04.28.23289173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
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; mean age: 38). Within participants with an AUD diagnosis, we explored risk across other clinical conditions, polygenic scores (PGS) for comorbid psychiatric problems, and neurocognitive functioning for lifetime suicide attempt. 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 an AUD who report a lifetime suicide attempt appear to experience greater levels of trauma, have more severe comorbidities, and carry polygenic risk for a variety of psychiatric problems. Our results demonstrate the need to further investigate suicide attempts in the presence of substance use disorders.
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Paul SE, Baranger DAA, Johnson EC, Jackson JJ, Gorelik AJ, Miller AP, Hatoum AS, Thompson WK, Strube M, Dick DM, Kamarajan C, Kramer JR, Plawecki MH, Chan G, Anokhin AP, Chorlian DB, Kinreich S, Meyers JL, Porjesz B, Edenberg HJ, Agrawal A, Bucholz KK, Bogdan R. Alcohol milestones and internalizing, externalizing, and executive function: longitudinal and polygenic score associations. Psychol Med 2024:1-14. [PMID: 38721768 DOI: 10.1017/s003329172400076x] [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] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
BACKGROUND Although the link between alcohol involvement and behavioral phenotypes (e.g. impulsivity, negative affect, executive function [EF]) is well-established, the directionality of these associations, specificity to stages of alcohol involvement, and extent of shared genetic liability remain unclear. We estimate longitudinal associations between transitions among alcohol milestones, behavioral phenotypes, and indices of genetic risk. METHODS Data came from the Collaborative Study on the Genetics of Alcoholism (n = 3681; ages 11-36). Alcohol transitions (first: drink, intoxication, alcohol use disorder [AUD] symptom, AUD diagnosis), internalizing, and externalizing phenotypes came from the Semi-Structured Assessment for the Genetics of Alcoholism. EF was measured with the Tower of London and Visual Span Tasks. Polygenic scores (PGS) were computed for alcohol-related and behavioral phenotypes. Cox models estimated associations among PGS, behavior, and alcohol milestones. RESULTS Externalizing phenotypes (e.g. conduct disorder symptoms) were associated with future initiation and drinking problems (hazard ratio (HR)⩾1.16). Internalizing (e.g. social anxiety) was associated with hazards for progression from first drink to severe AUD (HR⩾1.55). Initiation and AUD were associated with increased hazards for later depressive symptoms and suicidal ideation (HR⩾1.38), and initiation was associated with increased hazards for future conduct symptoms (HR = 1.60). EF was not associated with alcohol transitions. Drinks per week PGS was linked with increased hazards for alcohol transitions (HR⩾1.06). Problematic alcohol use PGS increased hazards for suicidal ideation (HR = 1.20). CONCLUSIONS Behavioral markers of addiction vulnerability precede and follow alcohol transitions, highlighting dynamic, bidirectional relationships between behavior and emerging addiction.
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Affiliation(s)
- Sarah E Paul
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA
| | - David A A Baranger
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA
| | - Emma C Johnson
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Joshua J Jackson
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA
| | - Aaron J Gorelik
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA
| | - Alex P Miller
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Alexander S Hatoum
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA
| | - Wesley K Thompson
- Population Neuroscience and Genetics (PNG) Center, Laureate Institute for Brain Research, Tulsa, OK, USA
| | - Michael Strube
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, 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
| | - Chella Kamarajan
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - John R Kramer
- Department of Psychiatry, Carver College of Medicine, The University of Iowa, Iowa City, IA, USA
| | - Martin H Plawecki
- Department of Psychiatry, School of Medicine, Indiana University, Indianapolis, IN, USA
| | - Grace Chan
- Department of Psychiatry, Carver College of Medicine, The University of Iowa, Iowa City, IA, USA
- Department of Psychiatry, School of Medicine, University of Connecticut, Farmington, CT, USA
| | - Andrey P Anokhin
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - David B Chorlian
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Sivan Kinreich
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Jacquelyn L Meyers
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Bernice Porjesz
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, 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
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Kathleen K Bucholz
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Ryan Bogdan
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA
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Vest N, Bell JS, Nieder A, Smith R, Bannard T, Tragesser S, Hibbard P, Dick DM. Learning with conviction: Exploring the relationship between criminal legal system involvement and substance use and recovery outcomes for students in collegiate recovery programs. Drug Alcohol Depend 2024; 257:111127. [PMID: 38394814 PMCID: PMC11031344 DOI: 10.1016/j.drugalcdep.2024.111127] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 02/01/2024] [Accepted: 02/07/2024] [Indexed: 02/25/2024]
Abstract
This study examines the association of criminal legal system involvement and age with substance use and academic related outcomes among students involved in collegiate recovery programs in the US. We examined 435 students in collegiate recovery using a national survey of college students. We computed differences between non-system-involved, system-involved with no incarceration history, and formerly incarcerated participants on relevant substance use and recovery-related outcomes. The results provide evidence that there are significant differences between those system-involved and those who are not. Specifically, we found significant differences across the outcomes of recovery capital, quality of life, hours worked per week, and substance use disorder symptoms, but after controlling for relevant covariates, only the differences between hours worked (non-system involved and system involved < formerly incarcerated) and substance use disorder symptoms (non-system involved < system involved and formerly incarcerated) remained significant. The study contributes to the literature by demonstrating that nearly half of the collegiate students in recovery in this sample have legal system-involvement and a third have been incarcerated. Further, interventions for collegiate recovery programs may need to be adjusted to account for legal system involvement among their members.
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Affiliation(s)
- Noel Vest
- Boston University, School of Public Health, Community and Health Sciences, 801 Massachusetts Ave, Boston, MA 02118, United States.
| | - Justin S Bell
- DePaul University, Center for Community Research, 990 W. Fullerton Ave, Chicago, IL 60614, USA
| | - Alexa Nieder
- DePaul University, Center for Community Research, 990 W. Fullerton Ave, Chicago, IL 60614, USA
| | - Rebecca Smith
- Virginia Commonwealth University, Department of Psychology, Richmond, VA, USA
| | - Thomas Bannard
- Virginia Commonwealth University, Department of Psychology, Richmond, VA, USA
| | - Sarah Tragesser
- Washington State University, Tri-Cities Campus, 2710 Crimson Way. Richland, WA 99354, USA
| | - Patrick Hibbard
- Chestnut Health Systems - Lighthouse Institute, 221 Walton St, Chicago, IL 60610, USA
| | - Danielle M Dick
- Rutgers University, Department of Psychiatry, 671 Hoes Lane W, Piscataway, NJ, USA
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Moreno O, Derlan Williams C, Muñoz G, Santana A, Hernandez C, de Jesus Elias M, Chartier K, Hood K, Johnson K, Middleton TJ, Montemayor BN, The Spit For Science Working Group, Vassileva J, Dick DM, Amstadter AB. Interpersonal ethnic-racial discrimination and tobacco products: The moderating role of critical action. Cultur Divers Ethnic Minor Psychol 2024:2024-64180-001. [PMID: 38512184 DOI: 10.1037/cdp0000646] [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: 03/22/2024]
Abstract
OBJECTIVE The present study aimed to understand the role of critical action, sociopolitical participation, an essential form of consciousness in the relationship between interpersonal discrimination and the use of tobacco products. METHOD The present study was part of a more extensive longitudinal study on students' genetic and environmental experiences. To examine these associations, 164 racially minoritized college students (Mage = 19.86, SD = 0.28) were surveyed for this study. RESULTS Findings indicated that the relation between interpersonal ethnic-racial discrimination (IERD) and tobacco products was moderated by critical action. Specifically, IERD was associated with greater use of tobacco products when students had low critical consciousness-critical action. The relation between IERD and the use of tobacco products became nonsignificant when students had high critical action. CONCLUSIONS Critical action was protective in mitigating increased tobacco use in the context of discrimination experiences. Research, clinical, and policy implications are discussed in efforts to reduce tobacco-related disparities among racially minoritized college students. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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Affiliation(s)
- Oswaldo Moreno
- Department of Psychology, Virginia Commonwealth University
| | | | - Geovani Muñoz
- Department of Psychology, Virginia Commonwealth University
| | | | | | | | - Karen Chartier
- Department of Psychology, Virginia Commonwealth University
| | - Kristina Hood
- Department of Psychology, Virginia Commonwealth University
| | - Kaprea Johnson
- Department of Educational Studies, Ohio State University
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5
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Thomas NS, Gillespie NA, Chan G, Edenberg HJ, Kamarajan C, Kuo SIC, Miller AP, Nurnberger JI, Tischfield J, Dick DM, Salvatore JE. A Developmentally-Informative Genome-wide Association Study of Alcohol Use Frequency. Behav Genet 2024; 54:151-168. [PMID: 38108996 PMCID: PMC10913412 DOI: 10.1007/s10519-023-10170-x] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 12/01/2023] [Indexed: 12/19/2023]
Abstract
Contemporary genome-wide association study (GWAS) methods typically do not account for variability in genetic effects throughout development. We applied genomic structural equation modeling to combine developmentally-informative phenotype data and GWAS to create polygenic scores (PGS) for alcohol use frequency that are specific to developmental stage. Longitudinal cohort studies targeted for gene-identification analyses include the Collaborative Study on the Genetics of Alcoholism (adolescence n = 1,118, early adulthood n = 2,762, adulthood n = 5,255), the National Longitudinal Study of Adolescent to Adult Health (adolescence n = 3,089, early adulthood n = 3,993, adulthood n = 5,149), and the Avon Longitudinal Study of Parents and Children (ALSPAC; adolescence n = 5,382, early adulthood n = 3,613). PGS validation analyses were conducted in the COGA sample using an alternate version of the discovery analysis with COGA removed. Results suggest that genetic liability for alcohol use frequency in adolescence may be distinct from genetic liability for alcohol use frequency later in developmental periods. The age-specific PGS predicts an increase of 4 drinking days per year per PGS standard deviation when modeled separately from the common factor PGS in adulthood. The current work was underpowered at all steps of the analysis plan. Though small sample sizes and low statistical power limit the substantive conclusions that can be drawn regarding these research questions, this work provides a foundation for future genetic studies of developmental variability in the genetic underpinnings of alcohol use behaviors and genetically-informed, age-matched phenotype prediction.
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Affiliation(s)
- Nathaniel S Thomas
- Department of Psychology, Virginia Commonwealth University, Box 842018, Richmond, VA, 23284-2018, USA.
| | - Nathan A Gillespie
- Virginia Institute for Psychiatric and Behavioral Genetics, Richmond, VA, USA
| | - Grace Chan
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
- Department of Psychiatry, University of Iowa, Carver College of Medicine, Iowa City, IA, USA
| | - Howard J Edenberg
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Chella Kamarajan
- Department of Psychiatry & Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Sally I-Chun Kuo
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
| | - Alex P Miller
- Department of Psychiatry, School of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | | | - Jay Tischfield
- Department of Genetics, Human Genetics Institute of New Jersey, Rutgers University, Piscataway, NJ, USA
| | - Danielle M Dick
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
| | - Jessica E Salvatore
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
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6
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Bountress KE, Bustamante D, Ahangari M, Aliev F, Aggen SH, Lancaster E, Peterson RE, Vassileva J, Dick DM, Amstadter AB. The impact of the COVID-19 pandemic on alcohol use disorder symptoms: Testing interactions with polygenic risk. J Am Coll Health 2024:1-6. [PMID: 38329837 DOI: 10.1080/07448481.2024.2308255] [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] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 01/10/2024] [Indexed: 02/10/2024]
Abstract
Objective: The purpose of this study was to test whether COVID impact interacts with genetic risk (polygenic risk score/PRS) to predict alcohol use disorder (AUD) symptoms. Method: Participants were n = 455 college students (79.6% female, 51% European Ancestry/EA, 24% African Ancestry/AFR, 25% Americas Ancestry/AMER) from a longitudinal study during the initial stage (March-May 2020) of the pandemic. Path models allowed for the examination of PRS and previously identified COVID-19 impact constructs. Results: There was a main effect of the AUD PRS on AUD symptoms within the EA group (β: .165, p < .01). Additionally, food/housing insecurity was predictive in the AMER group (β.295, p < .05), and greater increases in substance use were associated with AUD symptoms for EA (β:.459, p < .001) and AMER groups (β:.468, p < .001). Conclusions: Greater food/housing instability and increases in substance use, as well higher scores on PRS are associated with more AUD symptoms for some ancestral groups within this college sample.
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Affiliation(s)
- Kaitlin E Bountress
- Virginia Institute for Psychiatry and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Daniel Bustamante
- Virginia Institute for Psychiatry and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
- Integrative Life Sciences Doctoral Program, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Mohammad Ahangari
- Virginia Institute for Psychiatry and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
- Integrative Life Sciences Doctoral Program, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Fazil Aliev
- Department of Psychology, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Steven H Aggen
- Virginia Institute for Psychiatry and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Eva Lancaster
- Virginia Institute for Psychiatry and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
- Office of Data Science Strategy and Office of the Director, National Institutes of Health, Bethesda, Maryland, USA
| | - Roseann E Peterson
- Virginia Institute for Psychiatry and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
- Department of Psychiatry, SUNY Downstate, Richmond, Virginia, USA
| | - Jasmin Vassileva
- Virginia Institute for Psychiatry and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Danielle M Dick
- Rutgers Addiction Research Center, Robert Wood Johnson Medical School Psychiatry, Rutgers University, New Brunswick, New Jersey, USA
| | - Ananda B Amstadter
- Virginia Institute for Psychiatry and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
- Department of Psychology, Virginia Commonwealth University, Richmond, Virginia, USA
- Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
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7
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Barr PB, Bigdeli TB, Meyers JL, Peterson RE, Sanchez-Roige S, Mallard TT, Dick DM, Harden KP, Wilkinson A, Graham DP, Nielsen DA, Swann AC, Lipsky RK, Kosten TR, Aslan M, Harvey PD, Kimbrel NA, Beckham JC. Correlates of Risk for Disinhibited Behaviors in the Million Veteran Program Cohort. JAMA Psychiatry 2024; 81:188-197. [PMID: 37938835 PMCID: PMC10633411 DOI: 10.1001/jamapsychiatry.2023.4141] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 09/01/2023] [Indexed: 11/10/2023]
Abstract
Importance Many psychiatric outcomes share a common etiologic pathway reflecting behavioral disinhibition, generally referred to as externalizing (EXT) disorders. Recent genome-wide association studies (GWASs) have demonstrated the overlap between EXT disorders and important aspects of veterans' health, such as suicide-related behaviors and substance use disorders (SUDs). Objective To explore correlates of risk for EXT disorders within the Veterans Health Administration (VA) Million Veteran Program (MVP). Design, Setting, and Participants A series of phenome-wide association studies (PheWASs) of polygenic risk scores (PGSs) for EXT disorders was conducted using electronic health records. First, ancestry-specific PheWASs of EXT PGSs were conducted in the African, European, and Hispanic or Latin American ancestries. Next, a conditional PheWAS, covarying for PGSs of comorbid psychiatric problems (depression, schizophrenia, and suicide attempt; European ancestries only), was performed. Lastly, to adjust for unmeasured confounders, a within-family analysis of significant associations from the main PheWAS was performed in full siblings (European ancestries only). This study included the electronic health record data from US veterans from VA health care centers enrolled in MVP. Analyses took place from February 2022 to August 2023 covering a period from October 1999 to January 2020. Exposures PGSs for EXT, depression, schizophrenia, and suicide attempt. Main Outcomes and Measures Phecodes for diagnoses derived from the International Statistical Classification of Diseases, Ninth and Tenth Revisions, Clinical Modification, codes from electronic health records. Results Within the MVP (560 824 patients; mean [SD] age, 67.9 [14.3] years; 512 593 male [91.4%]), the EXT PGS was associated with 619 outcomes, of which 188 were independent of risk for comorbid problems or PGSs (from odds ratio [OR], 1.02; 95% CI, 1.01-1.03 for overweight/obesity to OR, 1.44; 95% CI, 1.42-1.47 for viral hepatitis C). Of the significant outcomes, 73 (11.9%) were significant in the African results and 26 (4.5%) were significant in the Hispanic or Latin American results. Within-family analyses uncovered robust associations between EXT PGS and consequences of SUDs, including liver disease, chronic airway obstruction, and viral hepatitis C. Conclusions and Relevance Results of this cohort study suggest a shared polygenic basis of EXT disorders, independent of risk for other psychiatric problems. In addition, this study found associations between EXT PGS and diagnoses related to SUDs and their sequelae. Overall, this study highlighted the potential negative consequences of EXT disorders for health and functioning in the US veteran population.
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Affiliation(s)
- Peter B. Barr
- VA New York Harbor Healthcare System, Brooklyn
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, New York
- Institute for Genomics in Health, SUNY Downstate Health Sciences University, Brooklyn, New York
- Department of Epidemiology and Biostatistics, School of Public Health, SUNY Downstate Health Sciences University, Brooklyn, New York
| | - Tim B. Bigdeli
- VA New York Harbor Healthcare System, Brooklyn
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, New York
- Institute for Genomics in Health, SUNY Downstate Health Sciences University, Brooklyn, New York
- Department of Epidemiology and Biostatistics, School of Public Health, SUNY Downstate Health Sciences University, Brooklyn, New York
| | - Jacquelyn L. Meyers
- VA New York Harbor Healthcare System, Brooklyn
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, New York
- Institute for Genomics in Health, SUNY Downstate Health Sciences University, Brooklyn, New York
- Department of Epidemiology and Biostatistics, School of Public Health, SUNY Downstate Health Sciences University, Brooklyn, New York
| | - Roseann E. Peterson
- VA New York Harbor Healthcare System, Brooklyn
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, New York
- Institute for Genomics in Health, SUNY Downstate Health Sciences University, Brooklyn, New York
| | - Sandra Sanchez-Roige
- Department of Psychiatry, University of California San Diego, La Jolla
- Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Travis T. Mallard
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - Danielle M. Dick
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, New Jersey
- Rutgers Addiction Research Center, Rutgers University, Piscataway, New Jersey
| | - K. Paige Harden
- Department of Psychology, University of Texas at Austin, Austin
- Population Research Center, University of Texas at Austin, Austin
| | - Anna Wilkinson
- Michael E. DeBakey VA Medical Center, Houston, Texas
- The University of Texas Health Science Center at Houston, UTHealth Houston School of Public Health, Houston
- Michael and Susan Dell Center for Healthy Living, The University of Texas Health Science Center at Houston, Houston
| | - David P. Graham
- Michael E. DeBakey VA Medical Center, Houston, Texas
- Departments of Psychiatry, Neuroscience, Pharmacology, and Immunology and Rheumatology, Baylor College of Medicine, Houston, Texas
| | - David A. Nielsen
- Michael E. DeBakey VA Medical Center, Houston, Texas
- Departments of Psychiatry, Neuroscience, Pharmacology, and Immunology and Rheumatology, Baylor College of Medicine, Houston, Texas
| | - Alan C. Swann
- Michael E. DeBakey VA Medical Center, Houston, Texas
- Departments of Psychiatry, Neuroscience, Pharmacology, and Immunology and Rheumatology, Baylor College of Medicine, Houston, Texas
| | - Rachele K. Lipsky
- Michael E. DeBakey VA Medical Center, Houston, Texas
- Departments of Psychiatry, Neuroscience, Pharmacology, and Immunology and Rheumatology, Baylor College of Medicine, Houston, Texas
| | - Thomas R. Kosten
- Michael E. DeBakey VA Medical Center, Houston, Texas
- Departments of Psychiatry, Neuroscience, Pharmacology, and Immunology and Rheumatology, Baylor College of Medicine, Houston, Texas
| | - Mihaela Aslan
- Clinical Epidemiology Research Center, VA Connecticut Healthcare System, West Haven, Connecticut
- Yale University School of Medicine, New Haven, Connecticut
| | - Philip D. Harvey
- Research Service, Bruce W. Carter Miami Veterans Affairs Medical Center, Miami, Florida
- University of Miami Miller School of Medicine, Miami, Florida
| | - Nathan A. Kimbrel
- Durham VA Health Care System, Durham, North Carolina
- VA Mid-Atlantic Mental Illness Research, Education and Clinical Center, Durham, North Carolina
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina
| | - Jean C. Beckham
- Durham VA Health Care System, Durham, North Carolina
- VA Mid-Atlantic Mental Illness Research, Education and Clinical Center, Durham, North Carolina
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina
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Elam KK, Bountress KE, Ha T, Shaw DS, Wilson MN, Aliev F, Dick DM, Lemery-Chalfant K. Developmental genetic effects on externalizing behavior and alcohol use: Examination across two longitudinal samples. Dev Psychopathol 2024; 36:82-91. [PMID: 35983793 PMCID: PMC9938843 DOI: 10.1017/s0954579422000980] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [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: 01/16/2023]
Abstract
Externalizing behavior in early adolescence is associated with alcohol use in adolescence and early adulthood and these behaviors often emerge as part of a developmental sequence. This pattern can be the result of heterotypic continuity, in which different behaviors emerge over time based on an underlying shared etiology. In particular, there is largely a shared genetic etiology underlying externalizing and substance use behaviors. We examined whether polygenic risk for alcohol use disorder predicted (1) externalizing behavior in early adolescence and alcohol use in adolescence in the Early Steps Multisite sample and (2) externalizing behavior in adolescence and alcohol use in early adulthood in the Project Alliance 1 (PAL1) sample. We examined associations separately for African Americans and European Americans. When examining European Americans in the Early Steps sample, greater polygenic risk was associated with externalizing behavior in early adolescence. In European Americans in PAL1, we found greater polygenic risk was associated with alcohol use in early adulthood. Effects were largely absent in African Americans in both samples. Results imply that genetic predisposition for alcohol use disorder may increase risk for externalizing and alcohol use as these behaviors emerge developmentally.
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Affiliation(s)
- Kit K. Elam
- Department of Applied Health Science, Indiana University, 1025 E. 7 St., Suite 116, Bloomington, IN 47405
| | - Kaitlin E. Bountress
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University
| | - Thao Ha
- Department of Psychology, Arizona State University
| | | | | | - Fazil Aliev
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School
| | - Danielle M. Dick
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School
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9
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Choi M, Driver MN, Balcke E, Saunders T, Langberg JM, Dick DM. Initial Results from a New College Substance Use Prevention Program Targeting Externalizing and Internalizing Traits. Subst Use Misuse 2024; 59:421-424. [PMID: 37897057 PMCID: PMC10873059 DOI: 10.1080/10826084.2023.2275565] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/29/2023]
Abstract
Objective: College students engage in high rates of risky substance use. Standard college prevention strategies focus on providing feedback about current substance use behaviors and harm reduction strategies but do not address the underlying genetically-influenced risk factors impacting these behaviors. We created an online Personalized Feedback Program (PFP) for college students that targets genetically-influenced externalizing and internalizing risk pathways and provides personalized recommendations and campus resources. College students received personalized feedback on four risk domains (Sensation Seeking, Impulsivity, Extraversion, and Neuroticism). Methods: An open trial (n = 300) was conducted at a large public university in spring of 2021 to assess initial responses to the PFP and evaluate intentions related to future substance use and campus resource use. Results: 81% of students in the open trial reported they enjoyed the Personalized Feedback Program. Participants reported intending to use significantly more campus resources after completing the PFP. Among participants that drank, 39% reported they intended to decrease their alcohol consumption and 41% reported they intended to decrease the number of times they get drunk after completing the PFP; these intentions to reduce use after completing the PFP are higher than rates found in previous studies. Conclusion: Preliminary data indicate that the Personalized Feedback Program may be a complementary method to enhance current college substance use prevention programs.
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Affiliation(s)
- Maia Choi
- Rutgers University, Department of Psychology, 152 Frelinghuysen Road, Piscataway, NJ, 08854
| | - Morgan N. Driver
- Virginia Commonwealth University, Department of Human and Molecular Genetics, 1101 East Marshall Street, Richmond, VA, 23298
| | - Emily Balcke
- Rutgers University, Department of Psychiatry, 671 Hoes Lane West, Piscataway, NJ, 08854
| | - Trisha Saunders
- Virginia Commonwealth University, Department of Recreation and Well-Being, 101 S. Linden Street, Richmond, VA, 23284
| | - Joshua M. Langberg
- Rutgers University, Graduate School of Applied and Professional Psychology, 152 Frelinghuysen Road, Piscataway, NJ, 08854
| | - Danielle M. Dick
- Rutgers University, Department of Psychiatry, 671 Hoes Lane West, Piscataway, NJ, 08854
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10
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Lahey BB, Durham EL, Brislin SJ, Barr PB, Dick DM, Moore TM, Pierce BL, Tong L, Reimann GE, Jeong HJ, Dupont RM, Kaczkurkin AN. Mapping potential pathways from polygenic liability through brain structure to psychological problems across the transition to adolescence. J Child Psychol Psychiatry 2024. [PMID: 38185921 DOI: 10.1111/jcpp.13944] [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] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/08/2023] [Indexed: 01/09/2024]
Abstract
BACKGROUND We used a polygenic score for externalizing behavior (extPGS) and structural MRI to examine potential pathways from genetic liability to conduct problems via the brain across the adolescent transition. METHODS Three annual assessments of child conduct problems, attention-deficit/hyperactivity problems, and internalizing problems were conducted across across 9-13 years of age among 4,475 children of European ancestry in the Adolescent Brain Cognitive DevelopmentSM Study (ABCD Study®). RESULTS The extPGS predicted conduct problems in each wave (R2 = 2.0%-2.9%). Bifactor models revealed that the extPRS predicted variance specific to conduct problems (R2 = 1.7%-2.1%), but also variance that conduct problems shared with other measured problems (R2 = .8%-1.4%). Longitudinally, extPGS predicted levels of specific conduct problems (R2 = 2.0%), but not their slope of change across age. The extPGS was associated with total gray matter volume (TGMV; R2 = .4%) and lower TGMV predicted both specific conduct problems (R2 = 1.7%-2.1%) and the variance common to all problems in each wave (R2 = 1.6%-3.1%). A modest proportion of the polygenic liability specific to conduct problems in each wave was statistically mediated by TGMV. CONCLUSIONS Across the adolescent transition, the extPGS predicted both variance specific to conduct problems and variance shared by all measured problems. The extPGS also was associated with TGMV, which robustly predicted conduct problems. Statistical mediation analyses suggested the hypothesis that polygenic variation influences individual differences in brain development that are related to the likelihood of conduct problems during the adolescent transition, justifying new research to test this causal hypothesis.
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Affiliation(s)
| | | | | | - Peter B Barr
- SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | | | | | | | - Lin Tong
- University of Chicago, Chicago, IL, USA
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11
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Brislin SJ, Salvatore JE, Meyers JM, Kamarajan C, Plawecki MH, Edenberg HJ, Kuperman S, Tischfield J, Hesselbrock V, Anokhin AP, Chorlian DB, Schuckit MA, Nurnberger JI, Bauer L, Pandey G, Pandey AK, Kramer JR, Chan G, Porjesz B, Dick DM. Examining associations between genetic and neural risk for externalizing behaviors in adolescence and early adulthood. Psychol Med 2024; 54:267-277. [PMID: 37203444 PMCID: PMC11010461 DOI: 10.1017/s0033291723001174] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
BACKGROUND Researchers have identified genetic and neural risk factors for externalizing behaviors. However, it has not yet been determined if genetic liability is conferred in part through associations with more proximal neurophysiological risk markers. METHODS Participants from the Collaborative Study on the Genetics of Alcoholism, a large, family-based study of alcohol use disorders were genotyped and polygenic scores for externalizing (EXT PGS) were calculated. Associations with target P3 amplitude from a visual oddball task (P3) and broad endorsement of externalizing behaviors (indexed via self-report of alcohol and cannabis use, and antisocial behavior) were assessed in participants of European (EA; N = 2851) and African ancestry (AA; N = 1402). Analyses were also stratified by age (adolescents, age 12-17 and young adults, age 18-32). RESULTS The EXT PGS was significantly associated with higher levels of externalizing behaviors among EA adolescents and young adults as well as AA young adults. P3 was inversely associated with externalizing behaviors among EA young adults. EXT PGS was not significantly associated with P3 amplitude and therefore, there was no evidence that P3 amplitude indirectly accounted for the association between EXT PGS and externalizing behaviors. CONCLUSIONS Both the EXT PGS and P3 amplitude were significantly associated with externalizing behaviors among EA young adults. However, these associations with externalizing behaviors appear to be independent of each other, suggesting that they may index different facets of externalizing.
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Affiliation(s)
- Sarah J. Brislin
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, New Brunswick-Piscataway, NJ, USA
| | - Jessica E. Salvatore
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, New Brunswick-Piscataway, NJ, USA
| | - Jacquelyn M. Meyers
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, New York, NY, USA
| | - Chella Kamarajan
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, New York, NY, USA
| | | | - Howard J. Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University, Bloomington, IN, USA
| | - Samuel Kuperman
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Jay Tischfield
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, New Brunswick-Piscataway, NJ, USA
| | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Andrey P. Anokhin
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA
| | - David B. Chorlian
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, New York, NY, USA
| | - Marc A. Schuckit
- Department of Psychiatry, University of California San Diego Medical School, San Diego, CA, USA
| | | | - Lance Bauer
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Gayathri Pandey
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, New York, NY, USA
| | - Ashwini K. Pandey
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, New York, NY, USA
| | - John R. Kramer
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Grace Chan
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Bernice Porjesz
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, New York, NY, USA
| | | | - Danielle M. Dick
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, New Brunswick-Piscataway, NJ, USA
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12
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Hicks TA, Bustamante D, Bountress KE, Adkins AE, Svikis DS, Gillespie NA, Dick DM, Amstadter AB. Is pre-college interpersonal trauma associated with cannabis use? J Am Coll Health 2023; 71:2645-2652. [PMID: 34586040 PMCID: PMC8960473 DOI: 10.1080/07448481.2021.1980399] [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] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Accepted: 07/22/2021] [Indexed: 05/11/2023]
Abstract
OBJECTIVE To examine the prevalence and correlates of lifetime cannabis use (i.e., experimental [use 1-5 times] and non-experimental [use ≥ 6 times]) in relation to interpersonal trauma (IPT) above and beyond relevant covariates. PARTICIPANTS A large (n = 9,889) representative sample of college students at an urban university in the southeastern part of the United States. METHODS Participants were 4 cohorts of first-year college students who completed measures of demographics, cannabis, alcohol, nicotine, and IPT. Associations were estimated using multinomial logistic regressions. RESULTS The prevalence of lifetime cannabis use was 28.1% and 17.4% for non-experimental and experimental cannabis use, respectively. IPT was significantly associated with experimental and non-experimental cannabis use above and beyond effects of sex, race, cohort, alcohol, and nicotine. CONCLUSIONS Results show that cannabis use is prevalent among college students and is associated with IPT above and beyond associations with sex, race, and other substance use.
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Affiliation(s)
- Terrell A Hicks
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, USA
- Department of Psychology, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Daniel Bustamante
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Kaitlin E Bountress
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Amy E Adkins
- Department of Psychology, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Dace S Svikis
- Department of Psychology, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Nathan A Gillespie
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, USA
- Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Danielle M Dick
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, USA
- Department of Psychology, Virginia Commonwealth University, Richmond, Virginia, USA
- Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Ananda B Amstadter
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, USA
- Department of Psychology, Virginia Commonwealth University, Richmond, Virginia, USA
- Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
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13
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DeLaney EN, Williams CD, Elias MJ, Walker CJ, Smith TH, Adkins A, Lozada FT, Dick DM. Racial discrimination and depressive symptoms mediated by conversations about race among students of color. J Am Coll Health 2023; 71:2835-2839. [PMID: 34788588 DOI: 10.1080/07448481.2021.1998071] [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] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 08/18/2021] [Accepted: 10/17/2021] [Indexed: 06/13/2023]
Abstract
Racial discrimination is associated with adverse mental health outcomes among Students of Color. In order to address racial tensions, it is important to consider students' dialogues about race. The current study tested whether having positive and negative conversations about one's ethnic-racial group mediated the relation between racial discrimination at T1 and depressive symptoms 5 months later at T2 among 94 college Students of Color. Findings indicated that greater racial discrimination at T1 was associated with more frequent negative conversations about race at T2 (b = .38, p = .00), which was, in turn, associated with greater depressive symptoms at T2 (b = 2.73, p = .04); this pathway demonstrated significant mediation. However, positive conversations about race was not a significant mediator in this association. The current study highlights the importance of focusing on racial conversations after racial discrimination in order to minimize adverse effects on mental health among Students of Color.
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Affiliation(s)
- Eryn N DeLaney
- Psychology Department, Virginia Commonwealth University, Richmond, Virginia, USA
| | | | - Maria J Elias
- Psychology Department, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Chloe J Walker
- Psychology Department, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Tricia H Smith
- Biology Department, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Amy Adkins
- Psychology Department, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Fantasy T Lozada
- Psychology Department, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Danielle M Dick
- Psychology Department, Virginia Commonwealth University, Richmond, Virginia, USA
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14
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Williams CM, Poore H, Tanksley PT, Kweon H, Courchesne-Krak NS, Londono-Correa D, Mallard TT, Barr P, Koellinger PD, Waldman ID, Sanchez-Roige S, Harden KP, Palmer AA, Dick DM, Karlsson Linnér R. Guidelines for Evaluating the Comparability of Down-Sampled GWAS Summary Statistics. Behav Genet 2023; 53:404-415. [PMID: 37713023 PMCID: PMC10584908 DOI: 10.1007/s10519-023-10152-z] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 08/15/2023] [Indexed: 09/16/2023]
Abstract
Proprietary genetic datasets are valuable for boosting the statistical power of genome-wide association studies (GWASs), but their use can restrict investigators from publicly sharing the resulting summary statistics. Although researchers can resort to sharing down-sampled versions that exclude restricted data, down-sampling reduces power and might change the genetic etiology of the phenotype being studied. These problems are further complicated when using multivariate GWAS methods, such as genomic structural equation modeling (Genomic SEM), that model genetic correlations across multiple traits. Here, we propose a systematic approach to assess the comparability of GWAS summary statistics that include versus exclude restricted data. Illustrating this approach with a multivariate GWAS of an externalizing factor, we assessed the impact of down-sampling on (1) the strength of the genetic signal in univariate GWASs, (2) the factor loadings and model fit in multivariate Genomic SEM, (3) the strength of the genetic signal at the factor level, (4) insights from gene-property analyses, (5) the pattern of genetic correlations with other traits, and (6) polygenic score analyses in independent samples. For the externalizing GWAS, although down-sampling resulted in a loss of genetic signal and fewer genome-wide significant loci; the factor loadings and model fit, gene-property analyses, genetic correlations, and polygenic score analyses were found robust. Given the importance of data sharing for the advancement of open science, we recommend that investigators who generate and share down-sampled summary statistics report these analyses as accompanying documentation to support other researchers' use of the summary statistics.
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Affiliation(s)
- Camille M Williams
- Department of Psychology, University of Texas at Austin, Austin, TX, USA.
- Population Research Center, University of Texas at Austin, Austin, TX, USA.
| | - Holly Poore
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
| | - Peter T Tanksley
- Population Research Center, University of Texas at Austin, Austin, TX, USA
| | - Hyeokmoon Kweon
- Department of Economics, School of Business and Economics, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | | | | | - Travis T Mallard
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Boston, MA, USA
| | - Peter Barr
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Philipp D Koellinger
- Department of Economics, School of Business and Economics, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Irwin D Waldman
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Sandra Sanchez-Roige
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Department of Medicine, Division of Genetic Medicine, Vanderbilt University, Nashville, TN, 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
| | - 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
| | - Danielle M Dick
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA.
- Rutgers Addiction Research Centre, Brain Health Institute, Rutgers University, Piscataway, NJ, USA.
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15
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Brown KW, Aliev F, Eley TC, Dick DM, Sawyers C. A multivariate twin study of the genetic association between present moment attention and subjective wellbeing. Sci Rep 2023; 13:17456. [PMID: 37838734 PMCID: PMC10576771 DOI: 10.1038/s41598-023-42810-x] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 09/14/2023] [Indexed: 10/16/2023] Open
Abstract
Considerable evidence supports the role of present-moment attention, a central feature of mindfulness, in subjective wellbeing maintenance and enhancement. Yet it is not clear why such a relation exists. This study examined the genetic and environmental contributions of present-moment attention to subjective wellbeing. Consistent with the "generalist genes hypothesis" and prior evidence, we hypothesized that presence and subjective wellbeing would show a substantial genetic correlation and smaller environmental correlation. Using a large epidemiological sample of healthy 16-year-old twins in the United Kingdom (N = 1136 monozygotic (MZ) and dizygotic (DZ) twin pairs), genetic overlap was found between presence and the cognitive component of subjective wellbeing (life satisfaction), and to a lesser extent, the affective component of subjective wellbeing (operationalized as happiness). The non-shared environmental overlap between these constructs was substantial. This study provides the first evidence known to us showing that present-centered attention, a primary component of mindfulness, has both genetic and environmental overlap with subjective wellbeing. The findings have implications for understanding mechanisms by which presence is associated with positive emotions and life satisfaction, and suggest, pending additional research, that mindfulness-based interventions to enhance wellbeing may be best suited to those with a genetic propensity toward mindful presence.
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Affiliation(s)
- Kirk Warren Brown
- Carnegie Mellon University, Pittsburgh, USA.
- Virginia Commonwealth University, Richmond, USA.
| | - Fazil Aliev
- Rutgers Addiction Research Center, Rutgers University, Piscataway, USA
| | | | - Danielle M Dick
- Rutgers Addiction Research Center, Rutgers University, Piscataway, USA
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16
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Meyers JL, McCutcheon VV, Horne-Osipenko KA, Waters LR, Barr P, Chan G, Chorlian DB, Johnson EC, Kuo SIC, Kramer JR, Dick DM, Kuperman S, Kamarajan C, Pandey G, Singman D, de Viteri SSS, Salvatore JE, Bierut LJ, Foroud T, Goate A, Hesselbrock V, Nurnberger J, Plaweck MH, Schuckit MA, Agrawal A, Edenberg HJ, Bucholz KK, Porjesz B. COVID-19 pandemic stressors are associated with reported increases in frequency of drunkenness among individuals with a history of alcohol use disorder. Transl Psychiatry 2023; 13:311. [PMID: 37803048 PMCID: PMC10558437 DOI: 10.1038/s41398-023-02577-1] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 07/25/2023] [Accepted: 07/31/2023] [Indexed: 10/08/2023] Open
Abstract
Some sources report increases in alcohol use have been observed since the start of the COVID-19 pandemic, particularly among women. Cross-sectional studies suggest that specific COVID-19-related stressful experiences (e.g., social disconnection) may be driving such increases in the general population. Few studies have explored these topics among individuals with a history of Alcohol Use Disorders (AUD), an especially vulnerable population. Drawing on recent data collected by the Collaborative Study on the Genetics of Alcoholism (COGA; COVID-19 study N = 1651, 62% women, age range: 30-91) in conjunction with AUD history data collected on the sample since 1990, we investigated associations of COVID-19 related stressors and coping activities with changes in drunkenness frequency since the start of the pandemic. Analyses were conducted for those without a history of AUD (N: 645) and three groups of participants with a history of AUD prior to the start of the pandemic: (1) those experiencing AUD symptoms (N: 606), (2) those in remission who were drinking (N: 231), and (3) those in remission who were abstinent (had not consumed alcohol for 5+ years; N: 169). Gender-stratified models were also examined. Exploratory analyses examined the moderating effects of 'problematic alcohol use' polygenic risk scores (PRS) and neural connectivity (i.e., posterior interhemispheric alpha EEG coherence) on associations between COVID-19 stressors and coping activities with changes in the frequency of drunkenness. Increases in drunkenness frequency since the start of the pandemic were higher among those with a lifetime AUD diagnosis experiencing symptoms prior to the start of the pandemic (14% reported increased drunkenness) when compared to those without a history of AUD (5% reported increased drunkenness). Among individuals in remission from AUD prior to the start of the pandemic, rates of increased drunkenness were 10% for those who were drinking pre-pandemic and 4% for those who had previously been abstinent. Across all groups, women reported nominally greater increases in drunkenness frequency when compared with men, although only women experiencing pre-pandemic AUD symptoms reported significantly greater rates of increased drunkenness since the start of the pandemic compared to men in this group (17% of women vs. 5% of men). Among those without a prior history of AUD, associations between COVID-19 risk and protective factors with increases in drunkenness frequency were not observed. Among all groups with a history of AUD (including those with AUD symptoms and those remitted from AUD), perceived stress was associated with increases in drunkenness. Among the remitted-abstinent group, essential worker status was associated with increases in drunkenness. Gender differences in these associations were observed: among women in the remitted-abstinent group, essential worker status, perceived stress, media consumption, and decreased social interactions were associated with increases in drunkenness. Among men in the remitted-drinking group, perceived stress was associated with increases in drunkenness, and increased relationship quality was associated with decreases in drunkenness. Exploratory analyses indicated that associations between family illness or death with increases in drunkenness and increased relationship quality with decreases in drunkenness were more pronounced among the remitted-drinking participants with higher PRS. Associations between family illness or death, media consumption, and economic hardships with increases in drunkenness and healthy coping with decreases in drunkenness were more pronounced among the remitted-abstinent group with lower interhemispheric alpha EEG connectivity. Our results demonstrated that only individuals with pre-pandemic AUD symptoms reported greater increases in drunkenness frequency since the start of the COVID-19 pandemic compared to those without a lifetime history of AUD. This increase was more pronounced among women than men in this group. However, COVID-19-related stressors and coping activities were associated with changes in the frequency of drunkenness among all groups of participants with a prior history of AUD, including those experiencing AUD symptoms, as well as abstinent and non-abstinent participants in remission. Perceived stress, essential worker status, media consumption, social connections (especially for women), and relationship quality (especially for men) are specific areas of focus for designing intervention and prevention strategies aimed at reducing pandemic-related alcohol misuse among this particularly vulnerable group. Interestingly, these associations were not observed for individuals without a prior history of AUD, supporting prior literature that demonstrates that widespread stressors (e.g., pandemics, terrorist attacks) disproportionately impact the mental health and alcohol use of those with a prior history of problems.
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Affiliation(s)
- Jacquelyn L Meyers
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, Brooklyn, NY, USA.
| | - Vivia V McCutcheon
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Kristina A Horne-Osipenko
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, Brooklyn, NY, USA
| | - Lawrence R Waters
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, Brooklyn, NY, USA
| | - Peter Barr
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, Brooklyn, NY, USA
| | - Grace Chan
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - David B Chorlian
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, Brooklyn, NY, USA
| | - Emma C Johnson
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Sally I-Chun Kuo
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
| | - John R Kramer
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Danielle M Dick
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
| | - Samuel Kuperman
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Chella Kamarajan
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, Brooklyn, NY, USA
| | - Gayathri Pandey
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, Brooklyn, NY, USA
| | - Dzov Singman
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, Brooklyn, NY, USA
| | - Stacey Subbie-Saenz de Viteri
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, Brooklyn, NY, USA
| | - Jessica E Salvatore
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
| | - Laura J Bierut
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Tatiana Foroud
- Departments of Genetics and Genomic Sciences, Neuroscience, and Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alison Goate
- Departments of Genetics and Genomic Sciences, Neuroscience, and Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Victor Hesselbrock
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - John Nurnberger
- Department of Biochemistry and Molecular Biology and Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Martin H Plaweck
- Department of Biochemistry and Molecular Biology and Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Marc A Schuckit
- Department of Psychiatry, University of California San Diego Medical School, La Jolla, CA, USA
| | - Arpana Agrawal
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Howard J Edenberg
- Department of Biochemistry and Molecular Biology and Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Kathleen K Bucholz
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Bernice Porjesz
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, Brooklyn, NY, USA
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Su J, Kuo SIC, Aliev F, Rabinowitz JA, Jamil B, Chan G, Edenberg HJ, Francis M, Hesselbrock V, Kamarajan C, Kinreich S, Kramer J, Lai D, McCutcheon V, Meyers J, Pandey A, Pandey G, Plawecki MH, Schuckit M, Tischfield J, Dick DM. Alcohol use polygenic risk score, social support, and alcohol use among European American and African American adults. Dev Psychopathol 2023:1-13. [PMID: 37781861 PMCID: PMC10985050 DOI: 10.1017/s0954579423001141] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/03/2023]
Abstract
Alcohol use is influenced by genetic and environmental factors. We examined the interactive effects between genome-wide polygenic risk scores for alcohol use (alc-PRS) and social support in relation to alcohol use among European American (EA) and African American (AA) adults across sex and developmental stages (emerging adulthood, young adulthood, and middle adulthood). Data were drawn from 4,011 EA and 1,274 AA adults from the Collaborative Study on the Genetics of Alcoholism who were between ages 18-65 and had ever used alcohol. Participants completed the Semi-Structured Assessment for the Genetics of Alcoholism and provided saliva or blood samples for genotyping. Results indicated that social support from friends, but not family, moderated the association between alc-PRS and alcohol use among EAs and AAs (only in middle adulthood for AAs); alc-PRS was associated with higher levels of alcohol use when friend support was low, but not when friend support was high. Associations were similar across sex but differed across developmental stages. Findings support the important role of social support from friends in buffering genetic risk for alcohol use among EA and AA adults and highlight the need to consider developmental changes in the role of social support in relation to alcohol use.
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Affiliation(s)
- Jinni Su
- Department of Psychology, Arizona State University, Tempe, AZ, USA
| | - Sally I-Chun Kuo
- Department of Psychiatry, Rutgers University, New Brunswick, NJ, USA
| | - Fazil Aliev
- Department of Psychiatry, Rutgers University, New Brunswick, NJ, USA
| | - Jill A Rabinowitz
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Belal Jamil
- Department of Psychology, Arizona State University, Tempe, AZ, USA
| | - Grace Chan
- Department of Psychiatry, University of Connecticut, Farmington, CT, USA
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Howard J Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University, Indianapolis, IN, USA
| | - Meredith Francis
- Department of Psychiatry, Washington University, St. Louis, MO, USA
| | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut, Farmington, CT, USA
| | - Chella Kamarajan
- Department of Psychiatry, State University of New York Downstate Medical Center, Brooklyn, USA
| | - Sivan Kinreich
- Department of Psychiatry, State University of New York Downstate Medical Center, Brooklyn, USA
| | - John Kramer
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Donbing Lai
- Department of Biochemistry and Molecular Biology, Indiana University, Indianapolis, IN, USA
| | - Vivia McCutcheon
- Department of Psychiatry, Washington University, St. Louis, MO, USA
| | - Jacquelyn Meyers
- Department of Psychiatry, State University of New York Downstate Medical Center, Brooklyn, USA
| | - Ashwini Pandey
- Department of Psychiatry, State University of New York Downstate Medical Center, Brooklyn, USA
| | - Gayathri Pandey
- Department of Psychiatry, State University of New York Downstate Medical Center, Brooklyn, USA
| | | | - Marc Schuckit
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Jay Tischfield
- Department of Genetics, Rutgers University, New Brunswick, NJ, USA
| | - Danielle M Dick
- Rutgers Addiction Research Center, Rutgers University, New Brunswick, NJ, USA
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Miller AP, Kuo SIC, Johnson EC, Tillman R, Brislin SJ, Dick DM, Kamarajan C, Kinreich S, Kramer J, McCutcheon VV, Plawecki MH, Porjesz B, Schuckit MA, Salvatore JE, Edenberg HJ, Bucholz KK, Meyers JL, Agrawal A. Diagnostic Criteria for Identifying Individuals at High Risk of Progression From Mild or Moderate to Severe Alcohol Use Disorder. JAMA Netw Open 2023; 6:e2337192. [PMID: 37815828 PMCID: PMC10565602 DOI: 10.1001/jamanetworkopen.2023.37192] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 08/22/2023] [Indexed: 10/11/2023] Open
Abstract
Importance Current Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) (DSM-5) diagnoses of substance use disorders rely on criterion count-based approaches, disregarding severity grading indexed by individual criteria. Objective To examine correlates of alcohol use disorder (AUD) across count-based severity groups (ie, mild, moderate, mild-to-moderate, severe), identify specific diagnostic criteria indicative of greater severity, and evaluate whether specific criteria within mild-to-moderate AUD differentiate across relevant correlates and manifest in greater hazards of severe AUD development. Design, Setting, and Participants This cohort study involved 2 cohorts from the family-based Collaborative Study on the Genetics of Alcoholism (COGA) with 7 sites across the United States: cross-sectional (assessed 1991-2005) and longitudinal (assessed 2004-2019). Statistical analyses were conducted from December 2022 to June 2023. Main Outcomes and Measures Sociodemographic, alcohol-related, psychiatric comorbidity, brain electroencephalography (EEG), and AUD polygenic score measures as correlates of DSM-5 AUD levels (ie, mild, moderate, severe) and criterion severity-defined mild-to-moderate AUD diagnostic groups (ie, low-risk vs high-risk mild-to-moderate). Results A total of 13 110 individuals from the cross-sectional COGA cohort (mean [SD] age, 37.8 [14.2] years) and 2818 individuals from the longitudinal COGA cohort (mean baseline [SD] age, 16.1 [3.2] years) were included. Associations with alcohol-related, psychiatric, EEG, and AUD polygenic score measures reinforced the role of increasing criterion counts as indexing severity. Yet within mild-to-moderate AUD (2-5 criteria), the presence of specific high-risk criteria (eg, withdrawal) identified a group reporting heavier drinking and greater psychiatric comorbidity even after accounting for criterion count differences. In longitudinal analyses, prior mild-to-moderate AUD characterized by endorsement of at least 1 high-risk criterion was associated with more accelerated progression to severe AUD (adjusted hazard ratio [aHR], 11.62; 95% CI, 7.54-17.92) compared with prior mild-to-moderate AUD without endorsement of high-risk criteria (aHR, 5.64; 95% CI, 3.28-9.70), independent of criterion count. Conclusions and Relevance In this cohort study of a combined 15 928 individuals, findings suggested that simple count-based AUD diagnostic approaches to estimating severe AUD vulnerability, which ignore heterogeneity among criteria, may be improved by emphasizing specific high-risk criteria. Such emphasis may allow better focus on individuals at the greatest risk and improve understanding of the development of AUD.
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Affiliation(s)
- Alex P. Miller
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
| | - Sally I-Chun Kuo
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey
| | - Emma C. Johnson
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
| | - Rebecca Tillman
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
| | - Sarah J. Brislin
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey
| | - Danielle M. Dick
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey
| | - Chella Kamarajan
- Department of Psychiatry and Behavioral Sciences, State University of New York Health Sciences University, Brooklyn
| | - Sivan Kinreich
- Department of Psychiatry and Behavioral Sciences, State University of New York Health Sciences University, Brooklyn
| | - John Kramer
- Department of Psychiatry, University of Iowa, Iowa City
| | - Vivia V. McCutcheon
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
| | | | - Bernice Porjesz
- Department of Psychiatry and Behavioral Sciences, State University of New York Health Sciences University, Brooklyn
| | - Marc A. Schuckit
- Department of Psychiatry, University of California San Diego Medical School, San Diego
| | - Jessica E. Salvatore
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey
| | - Howard J. Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University, Indianapolis
| | - Kathleen K. Bucholz
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
| | - Jaquelyn L. Meyers
- Department of Psychiatry and Behavioral Sciences, State University of New York Health Sciences University, Brooklyn
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
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19
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Johnson EC, Salvatore JE, Lai D, Merikangas AK, Nurnberger JI, Tischfield JA, Xuei X, Kamarajan C, Wetherill L, Rice JP, Kramer JR, Kuperman S, Foroud T, Slesinger PA, Goate AM, Porjesz B, Dick DM, Edenberg HJ, Agrawal A. The collaborative study on the genetics of alcoholism: Genetics. Genes Brain Behav 2023; 22:e12856. [PMID: 37387240 PMCID: PMC10550788 DOI: 10.1111/gbb.12856] [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: 03/07/2023] [Revised: 06/02/2023] [Accepted: 06/17/2023] [Indexed: 07/01/2023]
Abstract
This review describes the genetic approaches and results from the family-based Collaborative Study on the Genetics of Alcoholism (COGA). COGA was designed during the linkage era to identify genes affecting the risk for alcohol use disorder (AUD) and related problems, and was among the first AUD-focused studies to subsequently adopt a genome-wide association (GWAS) approach. COGA's family-based structure, multimodal assessment with gold-standard clinical and neurophysiological data, and the availability of prospective longitudinal phenotyping continues to provide insights into the etiology of AUD and related disorders. These include investigations of genetic risk and trajectories of substance use and use disorders, phenome-wide association studies of loci of interest, and investigations of pleiotropy, social genomics, genetic nurture, and within-family comparisons. COGA is one of the few AUD genetics projects that includes a substantial number of participants of African ancestry. The sharing of data and biospecimens has been a cornerstone of the COGA project, and COGA is a key contributor to large-scale GWAS consortia. COGA's wealth of publicly available genetic and extensive phenotyping data continues to provide a unique and adaptable resource for our understanding of the genetic etiology of AUD and related traits.
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Affiliation(s)
- Emma C. Johnson
- Department of PsychiatryWashington University School of MedicineSt. LouisMissouriUSA
| | - Jessica E. Salvatore
- Department of Psychiatry, Robert Wood Johnson Medical SchoolRutgers UniversityPiscatawayNew JerseyUSA
| | - Dongbing Lai
- Department of Medical & Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Alison K. Merikangas
- Department of Biomedical and Health InformaticsChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
- Department of Genetics, Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Lifespan Brain Institute, Children's Hospital of Philadelphia and Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - John I. Nurnberger
- Department of Medical & Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
- Department of PsychiatryIndiana University School of MedicineIndianapolisIndianaUSA
| | | | - Xiaoling Xuei
- Department of Medical & Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Chella Kamarajan
- Department of Psychiatry and Behavioral SciencesState University of New York Health Sciences UniversityBrooklynNew YorkUSA
| | - Leah Wetherill
- Department of Medical & Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | | | - John P. Rice
- Department of PsychiatryWashington University School of MedicineSt. LouisMissouriUSA
| | - John R. Kramer
- Department of Psychiatry, Carver College of MedicineUniversity of IowaIowa CityIowaUSA
| | - Samuel Kuperman
- Department of Psychiatry, Carver College of MedicineUniversity of IowaIowa CityIowaUSA
| | - Tatiana Foroud
- Department of Medical & Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Paul A. Slesinger
- Departments of Neuroscience and Pharmacological SciencesIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Alison M. Goate
- Departments of Genetics and Genomic Sciences, Neuroscience, and NeurologyIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Bernice Porjesz
- Department of Psychiatry and Behavioral SciencesState University of New York Health Sciences UniversityBrooklynNew YorkUSA
| | - Danielle M. Dick
- Department of Psychiatry, Robert Wood Johnson Medical SchoolRutgers UniversityPiscatawayNew JerseyUSA
| | - Howard J. Edenberg
- Department of Medical & Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
- Department of Biochemistry and Molecular BiologyIndiana UniversityIndianapolisIndianaUSA
| | - Arpana Agrawal
- Department of PsychiatryWashington University School of MedicineSt. LouisMissouriUSA
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20
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Thijssen AB, Dick DM, Posthuma D, Savage JE. Investigating genetically stratified subgroups to better understand the etiology of alcohol misuse. Mol Psychiatry 2023; 28:4225-4233. [PMID: 37488169 PMCID: PMC10827662 DOI: 10.1038/s41380-023-02174-0] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 06/15/2023] [Accepted: 06/28/2023] [Indexed: 07/26/2023]
Abstract
Alcohol misuse (AM) is highly prevalent and harmful, with theorized subgroups differing on internalizing and externalizing dimensions. Despite known heterogeneity, genome-wide association studies (GWAS) are usually conducted on unidimensional phenotypes. These approaches have identified important genes related to AM but fail to capture a large part of the heritability, even with recent increases in sample sizes. This study aimed to address phenotypic heterogeneity in GWAS to aid gene finding and to uncover the etiology of different types of AM. Genetic and phenotypic data from 410,414 unrelated individuals of multiple ancestry groups (primarily European) in the UK Biobank were obtained. Mixture modeling was applied to measures of alcohol misuse and internalizing/externalizing psychopathology to uncover phenotypically homogenous subclasses, which were carried forward to GWAS and functional annotation. A four-class model emerged with "low risk", "internalizing-light/non-drinkers", "heavy alcohol use-low impairment", and "broad high risk" classes. SNP heritability ranged from 3 to 18% and both known AM signals and novel signals were captured by genomic risk loci. Class comparisons showed distinct patterns of regional brain tissue enrichment and genetic correlations with internalizing and externalizing phenotypes. Despite some limitations, this study demonstrated the utility of genetic research on homogenous subclasses. Not only were novel genetic signals identified that might be used for follow-up studies, but addressing phenotypic heterogeneity allows for the discovery and investigation of differential genetic vulnerabilities in the development of AM, which is an important step towards the goal of personalized medicine.
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Affiliation(s)
- Anaïs B Thijssen
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Danielle M Dick
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers-The State University of New Jersey, Piscataway, NJ, USA
| | - Danielle Posthuma
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands
- Department of Clinical Genetics, Section Complex Trait Genetics, Amsterdam Neuroscience, Vrije Universiteit Medical Center, Amsterdam, The Netherlands
| | - Jeanne E Savage
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands.
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21
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Johnson KF, Hood KB, Moreno O, Fuentes L, Williams CD, Vassileva J, Amstadter AB, Dick DM. COVID-19-Induced Inequalities and Mental Health: Testing the Moderating Roles of Self-rated Health and Race/Ethnicity. J Racial Ethn Health Disparities 2023; 10:2093-2103. [PMID: 36018451 PMCID: PMC9415252 DOI: 10.1007/s40615-022-01389-1] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 06/20/2022] [Accepted: 08/05/2022] [Indexed: 11/05/2022]
Abstract
This study examines the relationship among COVID-19-induced social, economic, and educational inequalities on mental health (i.e., anxiety and depression). This study also examines if levels of self-rated health (SRH) moderate the relationship (i.e., COVID-induced inequalities [CII] and mental health), as well as examines the racial/ethnic group differences among 567 young adults in the mid-Atlantic region. Using a moderation model, results indicate that CII were significantly related to depression (b = .221, t(554) = 4.59, p = .000) and anxiety (b = .140, t(555) = 3.23, p = .001). SRH and race/ethnicity also moderated both relationships. At above-average SRH (i.e., moderator), higher CII were also significantly related to lower anxiety (Asian young adults only) and lower depression (Asian and White young adults only). Overall, SRH and race/ethnicity are important factors in the mental health impact of COVID-19 on young adults.
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Affiliation(s)
- Kaprea F Johnson
- Department of Educational Studies, The Ohio State University, Columbus, OH, USA
| | - Kristina B Hood
- Department of Psychology, Virginia Commonwealth University, 806 W Franklin Street, Richmond, VA, 23284-2018, USA.
| | - Oswaldo Moreno
- Department of Psychology, Virginia Commonwealth University, 806 W Franklin Street, Richmond, VA, 23284-2018, USA
| | - Lisa Fuentes
- Department of Psychology, Virginia Commonwealth University, 806 W Franklin Street, Richmond, VA, 23284-2018, USA
| | - Chelsea Derlan Williams
- Department of Psychology, Virginia Commonwealth University, 806 W Franklin Street, Richmond, VA, 23284-2018, USA
| | - Jasmin Vassileva
- Department of Psychology, Virginia Commonwealth University, 806 W Franklin Street, Richmond, VA, 23284-2018, USA
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
- Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - Ananda B Amstadter
- Department of Psychology, Virginia Commonwealth University, 806 W Franklin Street, Richmond, VA, 23284-2018, USA
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
- Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - Danielle M Dick
- Department of Psychology, Virginia Commonwealth University, 806 W Franklin Street, Richmond, VA, 23284-2018, USA
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22
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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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23
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Cusack SE, Bountress KE, Sheerin CM, Spit For Science Work Group, Dick DM, Amstadter AB. The longitudinal buffering effects of resilience on alcohol use outcomes. Psychol Trauma 2023; 15:1000-1011. [PMID: 34843351 PMCID: PMC9148383 DOI: 10.1037/tra0001156] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
OBJECTIVE Traumatic events (TE) are a risk factor for alcohol use disorder (AUD). Resilience may be protective of the effects of TE exposure, but few studies have longitudinally tested the buffering hypothesis. Thus, the present study aimed to fill this gap. METHOD Participants (N = 6,015) were from a longitudinal investigation into substance use and health outcomes at a large, urban university. Participants completed self-report measures on precollege internalizing symptoms and lifetime trauma load. Resilience was calculated as a quantitative variable. At each of the follow-up assessments, participants reported on past month consumption, AUD symptoms, and new onset TEs. Longitudinal path modeling was used to test interactions. RESULTS Higher new onset TE load was associated with greater AUD symptoms, and higher consumption at one time-point. Results demonstrate a significant main effect of resilience at Y1S and Y3S, and a significant interaction between resilience and new onset TE at the last time-point, whereby higher levels of new onset TE were associated with higher levels of AUD symptoms at low (β = .19, p < .001), and average (β = .20, p = .001) levels of resilience. This effect was attenuated at high levels of resilience (β = .07, p = .051). No significant main nor interaction effects of resilience on consumption were found. CONCLUSIONS Findings suggest resilience as an important protective factor in relation to the development of AUD symptoms after exposure to a TE, though perhaps less so in relation to consumption. Findings are consistent with prior work demonstrating that AUD symptoms are more clinically relevant than consumption in this population. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Affiliation(s)
- Shannon E Cusack
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University
| | - Kaitlin E Bountress
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University
| | - Christina M Sheerin
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University
| | | | | | - Ananda B Amstadter
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University
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24
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Hicks TA, Bountress KE, Adkins AE, Svikis DS, Gillespie NA, Dick DM, Amstadter AB. A longitudinal mediational investigation of risk pathways among cannabis use, interpersonal trauma exposure, and trauma-related distress. Psychol Trauma 2023; 15:969-978. [PMID: 35099217 PMCID: PMC9339011 DOI: 10.1037/tra0001207] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [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: 06/14/2023]
Abstract
OBJECTIVE College students are at high risk for cannabis use, interpersonal trauma (IPT) exposure, and trauma-related distress (TRD). Two phenotypic etiologic models posited to explain associations between cannabis use and trauma-related phenotypes are the self-medication (trauma/TRD → cannabis use) and high-risk (cannabis use → trauma/TRD) hypotheses. The primary objective of the present study was to investigate direct and indirect associations among cannabis use, IPT exposure, and TRD above and beyond established covariates. METHOD The current study used data from the first assessment (i.e., baseline survey at Year 1 Fall) and two follow-up assessments (i.e., Year 1 Spring and Year 2 Spring) from an ongoing longitudinal study on college behavioral health. Participants were 4 cohorts of college students (n = 9,889) who completed measures of demographics, substance use, IPT, and TRD. Indirect effects of IPT on cannabis through TRD (i.e., self-medication) and cannabis on TRD through IPT (i.e., high-risk), including tests of covariate effects (e.g., gender, age, race, cohort, alcohol, nicotine), were simultaneously estimated using a longitudinal mediation modeling framework. RESULTS Results suggest that more IPT exposure increases risk for TRD and subsequent nonexperimental (use 6+ times) cannabis use, and that experimental (use 1-5 times) and nonexperimental cannabis use increases risk for IPT exposure and subsequent TRD. CONCLUSIONS Both the self-medication and high-risk hypotheses were supported. Findings support a bidirectional causal relationship between cannabis use and trauma-related phenotypes. Additionally, results highlight areas for colleges to intervene among students to help reduce cannabis use and create a safer environment. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Affiliation(s)
- Terrell A. Hicks
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia
- Department of Psychology, Virginia Commonwealth University, Richmond, Virginia
| | - Kaitlin E. Bountress
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia
| | - Amy E. Adkins
- Department of Psychology, Virginia Commonwealth University, Richmond, Virginia
| | - Dace S. Svikis
- Department of Psychology, Virginia Commonwealth University, Richmond, Virginia
| | - Nathan A. Gillespie
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia
- Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, Virginia
| | - Danielle M. Dick
- Department of Psychology, Virginia Commonwealth University, Richmond, Virginia
- Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, Virginia
| | | | - Ananda B. Amstadter
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia
- Department of Psychology, Virginia Commonwealth University, Richmond, Virginia
- Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, Virginia
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Poore HE, Hatoum A, Mallard TT, Sanchez-Roige S, Waldman ID, Palmer AA, Paige Harden K, Barr PB, Dick DM. A multivariate approach to understanding the genetic overlap between externalizing phenotypes and substance use disorders. Addict Biol 2023; 28:e13319. [PMID: 37644899 PMCID: PMC11010459 DOI: 10.1111/adb.13319] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 05/24/2023] [Accepted: 07/17/2023] [Indexed: 08/31/2023]
Abstract
Substance use disorders (SUDs) are phenotypically and genetically correlated with each other and with other psychological traits characterized by behavioural under-control, termed externalizing phenotypes. In this study, we used genomic structural equation modelling to explore the shared genetic architecture among six externalizing phenotypes and four SUDs used in two previous multivariate genome-wide association studies of an externalizing and an addiction risk factor, respectively. We first evaluated five confirmatory factor analytic models, including a common factor model, alternative parameterizations of two-factor structures and a bifactor model. We next explored the genetic correlations between factors identified in these models and other relevant psychological traits. Finally, we quantified the degree of polygenic overlap between externalizing and addiction risk using MiXeR. We found that the common and two-factor structures provided the best fit to the data, evidenced by high factor loadings, good factor reliability and no evidence of concerning model characteristics. The two-factor models yielded high genetic correlations between factors (rg s ≥ 0.87), and between the effect sizes of genetic correlations with external traits (rg ≥ 0.95). Nevertheless, 21 of the 84 correlations with external criteria showed small, significant differences between externalizing and addiction risk factors. MiXer results showed that approximately 81% of influential externalizing variants were shared with addiction risk, whereas addiction risk shared 56% of its influential variants with externalizing. These results suggest that externalizing and addiction genetic risk are largely shared, though both constructs also retain meaningful unshared genetic variance. These results can inform future efforts to identify specific genetic influences on externalizing and SUDs.
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Affiliation(s)
- Holly E. Poore
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, New Jersey, USA
| | - Alexander Hatoum
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Travis T. Mallard
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Sandra Sanchez-Roige
- Department of Psychiatry, University of California, San Diego, San Diego, California, USA
- Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Irwin D. Waldman
- Department of Psychology, Emory University, Atlanta, Georgia, USA
| | - Abraham A. Palmer
- Department of Psychiatry, University of California, San Diego, San Diego, California, USA
- Institute for Genomic Medicine, University of California, San Diego, San Diego, California, USA
| | - K. Paige Harden
- Department of Psychology, University of Texas at Austin, Austin, Texas, USA
- Population Research Center, University of Texas at Austin, Austin, Texas, USA
| | - Peter B. Barr
- Department of Psychiatry & Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
- VA New York Harbor Healthcare System, Brooklyn, New York, USA
| | - Danielle M. Dick
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, New Jersey, USA
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26
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Smith RL, Dick DM, Amstadter A, Thomas N, Salvatore JE. A longitudinal study examining the associations between interpersonal trauma and romantic relationships among college students. Dev Psychopathol 2023; 35:1346-1357. [PMID: 34903311 PMCID: PMC9192832 DOI: 10.1017/s0954579421001243] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
We examined the associations between the developmental timing of interpersonal trauma exposure (IPT) and three indicators of involvement in and quality of romantic relationships in emerging adulthood: relationship status, relationship satisfaction, and partner alcohol use. We further examined whether these associations varied in a sex-specific manner. In a sample of emerging adult college students (N = 12,358; 61.5% female) assessed longitudinally across the college years, we found precollege IPT increased the likelihood of being in a relationship, while college-onset IPT decreased the likelihood. Precollege and college-onset IPT predicted lower relationship satisfaction, and college-onset IPT predicted higher partner alcohol use. There was no evidence that associations between IPT and relationship characteristics varied in a sex-specific manner. Findings indicate that IPT exposure, and the developmental timing of IPT, may affect college students' relationship status. Findings also suggest that IPT affects their ability to form satisfying relationships with prosocial partners.
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Affiliation(s)
- Rebecca L. Smith
- Department of Psychology, Virginia Commonwealth University, Box 842018, Richmond, VA 23284-2018
| | - Danielle M. Dick
- Department of Psychology, Virginia Commonwealth University, Box 842018, Richmond, VA 23284-2018
- Department of Human and Molecular Genetics, Virginia Commonwealth University, Box 980033, Richmond, Virginia 23298
| | - Ananda Amstadter
- 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
| | - Nathaniel Thomas
- Department of Psychology, Virginia Commonwealth University, Box 842018, Richmond, VA 23284-2018
| | | | - 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
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27
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Williams CD, DeLaney EN, Moreno O, Santana A, Fuentes L, Muñoz G, Elias MDJ, Johnson KF, Peterson RE, Hood KB, Vassileva J, Dick DM, Amstadter AB. Interactions between COVID-19 family home disruptions and relationships predicting college students' mental health over time. J Fam Psychol 2023; 37:592-602. [PMID: 37213173 PMCID: PMC10524332 DOI: 10.1037/fam0001085] [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: 05/23/2023]
Abstract
The present study tested whether family home disruptions during the COVID-19 pandemic in the Spring 2020 (Time 1; T1) informed mental health (i.e., posttraumatic stress disorder [PTSD], depressive, and anxiety symptoms) 7 months later in Fall 2020 at T2 and whether family relationship quality moderated relations. Multigroup path analysis models were used to test whether there were significant differences in relations by emerging adults' ethnic-racial backgrounds. Participants were 811 Black, Asian American, Latine, and White emerging adult college students (Mage = 19.95, SD = .33), and the majority (79.6%) who reported their gender identified as cisgender women. Results indicated that across all individuals, T1 family relationship quality moderated relations between T1 family home disruptions and T2 anxiety and depressive symptoms. At lower levels of T1 family relationship quality, family home disruptions predicted greater T2 depressive and anxiety symptoms. At higher levels of T1 family relationship quality, these relations were not significant. Findings highlight that family relationship quality is an important protective factor for diverse emerging adult college students. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Affiliation(s)
| | - Eryn N DeLaney
- Department of Psychology, Virginia Commonwealth University
| | - Oswaldo Moreno
- Department of Psychology, Virginia Commonwealth University
| | | | - Lisa Fuentes
- Department of Psychology, Virginia Commonwealth University
| | - Geovani Muñoz
- Department of Psychology, Virginia Commonwealth University
| | | | | | | | | | | | - Danielle M Dick
- Department of Human and Molecular Genetics, Virginia Commonwealth University
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28
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Choi M, Driver MN, Balcke E, Saunders T, Langberg JM, Dick DM. Bridging the gap between genetic epidemiological research and prevention: A randomized control trial of a novel personalized feedback program for alcohol and cannabis use. Drug Alcohol Depend 2023; 249:110818. [PMID: 37327509 PMCID: PMC10449035 DOI: 10.1016/j.drugalcdep.2023.110818] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 06/01/2023] [Accepted: 06/03/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Risky substance use among college students is widespread and associated with numerous negative consequences. We created an online Personalized Feedback Program (PFP) for college students that targets genetically influenced risk pathways for substance use and provides feedback on four risk domains (Sensation Seeking, Impulsivity, Extraversion, and Neuroticism) along with individualized recommendations and campus resources. METHODS A pilot randomized controlled trial was conducted to evaluate the effects of the PFP on alcohol and cannabis use. First-year college students were randomized to one of four groups: (1) control, (2) PFP, (3) computer-delivered brief motivational intervention (BMI), and (4) combined group that included both the PFP and BMI (PFP+BMI). Students completed a baseline survey (n=251) that assessed alcohol and cannabis use and program satisfaction. Two follow-up surveys were administered at 30-days and 3-months post-intervention to evaluate longitudinal effects on substance use. RESULTS Participants reported high satisfaction with the PFP. There were no significant effects of intervention group on alcohol use at the follow-up timepoints, though trends were in the expected direction with participants in the PFP group showing decreased odds of alcohol use. There were significant reductions in cannabis use in the PFP group as compared to other groups. CONCLUSIONS The PFP was met with high satisfaction and had a positive impact on reducing cannabis use. With cannabis use at a historic high among college-aged adults, further research evaluating the effects of the PFP is warranted.
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Affiliation(s)
- Maia Choi
- Rutgers University, Department of Psychology, 152 Frelinghuysen Road, Piscataway, NJ08854, United States.
| | - Morgan N Driver
- Virginia Commonwealth University, Department of Human and Molecular Genetics, 1101 East Marshall Street, Richmond, VA23298, United States
| | - Emily Balcke
- Rutgers University, Department of Psychiatry, 671 Hoes Lane West, Piscataway, NJ08854, United States
| | - Trisha Saunders
- Virginia Commonwealth University, Department of Recreation and Well-Being, 101 S. Linden Street, Richmond, VA23284, United States
| | - Joshua M Langberg
- Rutgers University, Graduate School of Applied and Professional Psychology, 152 Frelinghuysen Road, Piscataway, NJ08854, United States
| | - Danielle M Dick
- Rutgers University, Department of Psychiatry, 671 Hoes Lane West, Piscataway, NJ08854, United States.
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29
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Barr PB, Bigdeli TB, Meyers JL, Peterson RE, Sanchez-Roige S, Mallard TT, Dick DM, Paige Harden K, Wilkinson A, Graham DP, Nielsen DA, Swann A, Lipsky RK, Kosten T, Aslan M, Harvey PD, Kimbrel NA, Beckham JC. Correlates of Risk for Disinhibited Behaviors in the Million Veteran Program Cohort. medRxiv 2023:2023.03.22.23286865. [PMID: 37034805 PMCID: PMC10081391 DOI: 10.1101/2023.03.22.23286865] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Background Many psychiatric outcomes are thought to share a common etiological pathway reflecting behavioral disinhibition, generally referred to as externalizing disorders (EXT). Recent genome-wide association studies (GWAS) have demonstrated the overlap between EXT and important aspects of veterans' health, such as suicide-related behaviors, substance use disorders, and other medical conditions. Methods We conducted a series of phenome-wide association studies (PheWAS) of polygenic scores (PGS) for EXT, and comorbid psychiatric problems (depression, schizophrenia, and suicide attempt) in an ancestrally diverse cohort of U.S. veterans (N = 560,824), using diagnostic codes from electronic health records. We conducted ancestry-specific PheWASs of EXT PGS in the European, African, and Hispanic/Latin American ancestries. To determine if associations were driven by risk for other comorbid problems, we performed a conditional PheWAS, covarying for comorbid psychiatric problems (European ancestries only). Lastly, to adjust for unmeasured confounders we performed a within-family analysis of significant associations from the main PheWAS in full-siblings (N = 12,127, European ancestries only). Results The EXT PGS was associated with 619 outcomes across all bodily systems, of which, 188 were independent of risk for comorbid problems of PGS. Effect sizes ranged from OR = 1.02 (95% CI = 1.01, 1.03) for overweight/obesity to OR = 1.44 (95% CI = 1.42, 1.47) for viral hepatitis C. Of the significant outcomes 73 (11.9%) and 26 (4.5%) were significant in the African and Hispanic/Latin American results, respectively. Within-family analyses uncovered robust associations between EXT and consequences of substance use disorders, including liver disease, chronic airway obstruction, and viral hepatitis C. Conclusion Our results demonstrate a shared polygenic basis of EXT across populations of diverse ancestries and independent of risk for other psychiatric problems. The strongest associations with EXT were for diagnoses related to substance use disorders and their sequelae. Overall, we highlight the potential negative consequences of EXT for health and functioning in the US veteran population.
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Affiliation(s)
- Peter B. Barr
- VA New York Harbor Healthcare System, Brooklyn, NY
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY
- Institute for Genomics in Health (IGH), SUNY Downstate Health Sciences University, Brooklyn, NY
- Department of Epidemiology and Biostatistics, School of Public Health, SUNY Downstate Health Sciences University, Brooklyn, NY
| | - Tim B. Bigdeli
- VA New York Harbor Healthcare System, Brooklyn, NY
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY
- Institute for Genomics in Health (IGH), SUNY Downstate Health Sciences University, Brooklyn, NY
- Department of Epidemiology and Biostatistics, School of Public Health, SUNY Downstate Health Sciences University, Brooklyn, NY
| | - Jacquelyn L. Meyers
- VA New York Harbor Healthcare System, Brooklyn, NY
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY
- Institute for Genomics in Health (IGH), SUNY Downstate Health Sciences University, Brooklyn, NY
- Department of Epidemiology and Biostatistics, School of Public Health, SUNY Downstate Health Sciences University, Brooklyn, NY
| | - Roseann E. Peterson
- VA New York Harbor Healthcare System, Brooklyn, NY
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY
- Institute for Genomics in Health (IGH), SUNY Downstate Health Sciences University, Brooklyn, NY
| | - Sandra Sanchez-Roige
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Travis T. Mallard
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Danielle M. Dick
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ
- Rutgers Addiction Research Center, Rutgers University, Piscataway, NJ
| | - K. Paige Harden
- Department of Psychology, University of Texas at Austin, Austin, TX
- Population Research Center, University of Texas at Austin, Austin, TX
| | - Anna Wilkinson
- Michael E. DeBakey VA Medical Center, Houston, TX
- UTHealth Houston School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX
- Michael and Susan Dell Center for Healthy Living, The University of Texas Health Science Center at Houston, Houston, TX
| | - David P. Graham
- Michael E. DeBakey VA Medical Center, Houston, TX
- Department of Psychiatry, Neuroscience, Pharmacology, and Immunology and Rheumatology, Baylor College of Medicine, Houston, TX
| | - David A. Nielsen
- Michael E. DeBakey VA Medical Center, Houston, TX
- Department of Psychiatry, Neuroscience, Pharmacology, and Immunology and Rheumatology, Baylor College of Medicine, Houston, TX
| | - Alan Swann
- Michael E. DeBakey VA Medical Center, Houston, TX
- Department of Psychiatry, Neuroscience, Pharmacology, and Immunology and Rheumatology, Baylor College of Medicine, Houston, TX
| | - Rachele K. Lipsky
- Michael E. DeBakey VA Medical Center, Houston, TX
- Department of Psychiatry, Neuroscience, Pharmacology, and Immunology and Rheumatology, Baylor College of Medicine, Houston, TX
| | - Thomas Kosten
- Michael E. DeBakey VA Medical Center, Houston, TX
- Department of Psychiatry, Neuroscience, Pharmacology, and Immunology and Rheumatology, Baylor College of Medicine, Houston, TX
| | - Mihaela Aslan
- Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, CT
- Yale University School of Medicine, New Haven, CT
| | - Philip D. Harvey
- Research Service, Bruce W. Carter Miami Veterans Affairs (VA) Medical Center, Miami, FL
- University of Miami Miller School of Medicine, Miami, FL
| | - Nathan A. Kimbrel
- Durham VA Health Care System, Durham, NC
- VA Mid-Atlantic Mental Illness Research, Education and Clinical Center, Durham, NC
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC
| | - Jean C. Beckham
- Durham VA Health Care System, Durham, NC
- VA Mid-Atlantic Mental Illness Research, Education and Clinical Center, Durham, NC
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC
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30
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Savage JE, Dick DM. Drinking Motives, Alcohol Misuse, and Internalizing and Externalizing Psychopathology across College: A Cross-Lagged Panel Study. Subst Use Misuse 2023; 58:1377-1387. [PMID: 37339914 DOI: 10.1080/10826084.2023.2223269] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/22/2023]
Abstract
Background: Drinking motives are strong proximal predictors of alcohol use behaviors and may represent a mediational mechanism by which different individual predispositions toward internalizing or externalizing psychopathology lead to the development of alcohol misuse. However, whether the association is due to a causal relationship or a shared etiology (i.e., confounding) is difficult to determine and may change across developmental periods. Methods: This study leveraged a cross-lagged panel design to disentangle the nature of the relationships between self-report measures of drinking motives, alcohol misuse, and internalizing and externalizing psychopathology in a 4-year longitudinal sample of college students (N = 9,889). Results: Results pointed to a putative causal effect of drinking motives on early binge drinking frequency, but the direction of effect later reversed, reflecting a possible developmental shift during college. On the other hand, the relationships between drinking motives and internalizing/externalizing psychopathology appeared to be driven by shared etiology rather than direct causal mechanisms. Conclusions: These findings highlight the distinct and important role of drinking motives in the etiology of alcohol misuse and have implications for the application of tailored prevention and treatment strategies.
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Affiliation(s)
- Jeanne E Savage
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit, Amsterdam, Netherlands
| | - Danielle M Dick
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers - The State University of New Jersey, Piscataway, New Jersey, USA
- Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
- Department of Psychology, Virginia Commonwealth University, Richmond, Virginia, USA
- College Behavioral and Emotional Health Institute, Virginia Commonwealth University, Richmond, Virginia, USA
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31
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Smith RL, Bannard T, McDaniel J, Aliev F, Brown A, Holliday E, Vest N, DeFrantz-Dufor W, Dick DM. Characteristics of Students Participating in Collegiate Recovery Programs and the Impact of COVID-19: An Updated National Longitudinal Study. Addict Res Theory 2023; 32:58-67. [PMID: 38524726 PMCID: PMC10959520 DOI: 10.1080/16066359.2023.2216459] [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] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 05/17/2023] [Indexed: 03/26/2024]
Abstract
The goals of the present study were to describe the development of the first national longitudinal study of collegiate recovery programs (CRP) students; provide an updated characterization of CRP students' demographics, past problem severity, and current recovery-related functioning; and examine the perceived impact of COVID-19 on CRP students' recovery. Universities and community colleges with CRPs across the United States and Ontario, Canada, were invited to partner on this project. Launched in fall 2020, three cohorts of participants were recruited. All participants who completed the baseline survey (N = 334 from 43 CRPs) were invited to complete follow-up surveys. The sample was composed of mostly undergraduate, White, cisgender women averaging 29 years old at baseline. They reported challenging backgrounds, including high levels of polysubstance use, alcohol/substance problem severity, mental health challenges, and involvement with the criminal legal system. Despite such adversity, they evidenced high levels of recovery-related functioning. Recovery capital and quality of life were high. Students reported an average of nearly four years in recovery, with most having between two and four years of abstinence from their primary substance of choice. COVID-19 represented a substantial source of stress for many, impacting some students' abstinence and recovery-related functioning. Results generally parallel findings from the only other national study of CRP students conducted a decade ago, providing a much-needed update and novel insights into CRP students. Findings can inform our understanding of the CRP student population and can be used to tailor CRP design and service offerings to students' backgrounds and needs.
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Affiliation(s)
- Rebecca L. Smith
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, US
| | - Thomas Bannard
- Rams in Recovery, University Counseling Services, Virginia Commonwealth University, Richmond, VA, US
| | - Jessica McDaniel
- Center for Young Adult Addiction and Recovery, Kennesaw State University, Kennesaw, GA, US
| | - Fazil Aliev
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Newark, NJ, US
| | - Austin Brown
- Maxwell School of Citizenship and Public Affairs & Lerner Center for Public Health Promotion, Syracuse University, Syracuse, NY, US
| | - Erica Holliday
- Center for Young Adult Addiction and Recovery, Kennesaw State University, Kennesaw, GA, US
- Psychological Sciences, Radow College of Humanities and Social Sciences, Kennesaw State University, Kennesaw, GA, US
| | - Noel Vest
- Department of Community Health Sciences, Boston University School of Public Health, Boston University, Boston, MA, US
| | - Waltrina DeFrantz-Dufor
- Health & Counseling Center, Campus Life & Inclusive Excellence, University of Denver, Denver, CO, US
| | | | - Danielle M. Dick
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Newark, NJ, US
- Rutgers Addiction Research Center, Brain Health Institute, Rutgers University, Piscataway, NJ, US
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32
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Kamarajan C, Pandey AK, Chorlian DB, Meyers JL, Kinreich S, Pandey G, Subbie-Saenz de Viteri S, Zhang J, Kuang W, Barr PB, Aliev F, Anokhin AP, Plawecki MH, Kuperman S, Almasy L, Merikangas A, Brislin SJ, Bauer L, Hesselbrock V, Chan G, Kramer J, Lai D, Hartz S, Bierut LJ, McCutcheon VV, Bucholz KK, Dick DM, Schuckit MA, Edenberg HJ, Porjesz B. Predicting Alcohol-Related Memory Problems in Older Adults: A Machine Learning Study with Multi-Domain Features. Behav Sci (Basel) 2023; 13:bs13050427. [PMID: 37232664 DOI: 10.3390/bs13050427] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Revised: 05/08/2023] [Accepted: 05/11/2023] [Indexed: 05/27/2023] Open
Abstract
Memory problems are common among older adults with a history of alcohol use disorder (AUD). Employing a machine learning framework, the current study investigates the use of multi-domain features to classify individuals with and without alcohol-induced memory problems. A group of 94 individuals (ages 50-81 years) with alcohol-induced memory problems (the memory group) were compared with a matched control group who did not have memory problems. The random forests model identified specific features from each domain that contributed to the classification of the memory group vs. the control group (AUC = 88.29%). Specifically, individuals from the memory group manifested a predominant pattern of hyperconnectivity across the default mode network regions except for some connections involving the anterior cingulate cortex, which were predominantly hypoconnected. Other significant contributing features were: (i) polygenic risk scores for AUD, (ii) alcohol consumption and related health consequences during the past five years, such as health problems, past negative experiences, withdrawal symptoms, and the largest number of drinks in a day during the past twelve months, and (iii) elevated neuroticism and increased harm avoidance, and fewer positive "uplift" life events. At the neural systems level, hyperconnectivity across the default mode network regions, including the connections across the hippocampal hub regions, in individuals with memory problems may indicate dysregulation in neural information processing. Overall, the study outlines the importance of utilizing multidomain features, consisting of resting-state brain connectivity data collected ~18 years ago, together with personality, life experiences, polygenic risk, and alcohol consumption and related consequences, to predict the alcohol-related memory problems that arise in later life.
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Affiliation(s)
- Chella Kamarajan
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Ashwini K Pandey
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - David B Chorlian
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Jacquelyn L Meyers
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Sivan Kinreich
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Gayathri Pandey
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Stacey Subbie-Saenz de Viteri
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Jian Zhang
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Weipeng Kuang
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Peter B Barr
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Fazil Aliev
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ 08854, USA
| | - Andrey P Anokhin
- Department of Psychiatry, School of Medicine, Washington University, St. Louis, MO 63110, USA
| | | | - Samuel Kuperman
- Department of Psychiatry, University of Iowa, Iowa City, IA 52242, USA
| | - Laura Almasy
- The Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Alison Merikangas
- The Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Sarah J Brislin
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ 08854, USA
| | - Lance Bauer
- Department of Psychiatry, University of Connecticut, Farmington, CT 06030, USA
| | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut, Farmington, CT 06030, USA
| | - Grace Chan
- Department of Psychiatry, University of Iowa, Iowa City, IA 52242, USA
- Department of Psychiatry, University of Connecticut, Farmington, CT 06030, USA
| | - John Kramer
- Department of Psychiatry, University of Iowa, Iowa City, IA 52242, USA
| | - Dongbing Lai
- Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Sarah Hartz
- Department of Psychiatry, School of Medicine, Washington University, St. Louis, MO 63110, USA
| | - Laura J Bierut
- Department of Psychiatry, School of Medicine, Washington University, St. Louis, MO 63110, USA
| | - Vivia V McCutcheon
- Department of Psychiatry, School of Medicine, Washington University, St. Louis, MO 63110, USA
| | - Kathleen K Bucholz
- Department of Psychiatry, School of Medicine, Washington University, St. Louis, MO 63110, USA
| | - Danielle M Dick
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ 08854, USA
| | - Marc A Schuckit
- Department of Psychiatry, University of California, San Diego, CA 92103, USA
| | | | - Bernice Porjesz
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
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McNamara IA, Soto D, Su J, Dick DM. Family History and Alcohol Use Outcomes: Examining Transmission of Risk through Impulsivity and the Moderating Role of Organized Sports Participation. Subst Use Misuse 2023; 58:1090-1101. [PMID: 37194673 PMCID: PMC10247443 DOI: 10.1080/10826084.2023.2205518] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
BACKGROUND College students are at risk for alcohol misuse and those who participate in organized sports are at even higher risk. Family history of alcohol problems (FH) and impulsivity are well-documented risk factors for alcohol use outcomes, but no research has examined the role of organized sports participation in moderating these associations. This study examined the associations between FH, alcohol consumption and alcohol use disorder (AUD) symptoms, the role of UPPS-P (Urgency, Premeditation, Perseverance, Sensation Seeking, Positive Urgency impulsive behavior scale) impulsivity dimensions in mediating the association between FH and alcohol use outcomes, and whether these associations vary by students' organized sports participation. METHOD Participants (N = 3,959, 64.7% female, 51.8% White; Mean age = 18.48 years, SD = .40) were recruited from a large, public university and completed an online survey in the fall and spring semesters of their first year in college. Path analyses were conducted in Mplus. RESULTS FH was associated with higher levels of alcohol consumption and more AUD symptoms. Lack of premeditation, lack of perseverance, and negative urgency partially mediated the associations between FH and alcohol consumption and AUD symptoms. The association between negative urgency and AUD symptoms was stronger for organized sports participants. CONCLUSIONS Impulsivity dimensions are risk factors for both alcohol consumption and AUD symptoms and serve as important pathways for the transmission of risk between generations. Prevention and intervention efforts aimed at reducing problematic alcohol use should target impulsivity generally, and particularly negative urgency among college students who participate in organized sports.
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Affiliation(s)
- Ian A McNamara
- Department of Psychology, Arizona State University, Tempe, Arizona, USA
| | - Derek Soto
- Department of Psychology, Arizona State University, Tempe, Arizona, USA
| | - Jinni Su
- Department of Psychology, Arizona State University, Tempe, Arizona, USA
| | - Danielle M Dick
- Department of Psychology, Virginia Commonwealth University, Richmond, Virginia, USA
- Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
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Johnson EC, Colbert SMC, Jeffries PW, Tillman R, Bigdeli TB, Karcher NR, Chan G, Kuperman S, Meyers JL, Nurnberger JI, Plawecki MH, Degenhardt L, Martin NG, Kamarajan C, Schuckit MA, Murray RM, Dick DM, Edenberg HJ, D’Souza DC, Di Forti M, Porjesz B, Nelson EC, Agrawal A. Associations Between Cannabis Use, Polygenic Liability for Schizophrenia, and Cannabis-related Experiences in a Sample of Cannabis Users. Schizophr Bull 2023; 49:778-787. [PMID: 36545904 PMCID: PMC10154717 DOI: 10.1093/schbul/sbac196] [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: 12/24/2022]
Abstract
BACKGROUND AND HYPOTHESIS Risk for cannabis use and schizophrenia is influenced in part by genetic factors, and there is evidence that genetic risk for schizophrenia is associated with subclinical psychotic-like experiences (PLEs). Few studies to date have examined whether genetic risk for schizophrenia is associated with cannabis-related PLEs. STUDY DESIGN We tested whether measures of cannabis involvement and polygenic risk scores (PRS) for schizophrenia were associated with self-reported cannabis-related experiences in a sample ascertained for alcohol use disorders (AUDs), the Collaborative Study on the Genetics of Alcoholism (COGA). We analyzed 4832 subjects (3128 of European ancestry and 1704 of African ancestry; 42% female; 74% meeting lifetime criteria for an AUD). STUDY RESULTS Cannabis use disorder (CUD) was prevalent in this analytic sample (70%), with 40% classified as mild, 25% as moderate, and 35% as severe. Polygenic risk for schizophrenia was positively associated with cannabis-related paranoia, feeling depressed or anhedonia, social withdrawal, and cognitive difficulties, even when controlling for duration of daily cannabis use, CUD, and age at first cannabis use. The schizophrenia PRS was most robustly associated with cannabis-related cognitive difficulties (β = 0.22, SE = 0.04, P = 5.2e-7). In an independent replication sample (N = 1446), associations between the schizophrenia PRS and cannabis-related experiences were in the expected direction and not statistically different in magnitude from those in the COGA sample. CONCLUSIONS Among individuals who regularly use cannabis, genetic liability for schizophrenia-even in those without clinical features-may increase the likelihood of reporting unusual experiences related to cannabis use.
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Affiliation(s)
- Emma C Johnson
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - Sarah M C Colbert
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - Paul W Jeffries
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - Rebecca Tillman
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - Tim B Bigdeli
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
- Henri Begleiter Neurodynamics Lab, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Nicole R Karcher
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - Grace Chan
- Department of Psychiatry, University of Connecticut, Farmington, CT, USA
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Samuel Kuperman
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Jacquelyn L Meyers
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
- Henri Begleiter Neurodynamics Lab, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - John I Nurnberger
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Martin H Plawecki
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Louisa Degenhardt
- National Drug and Alcohol Research Centre, UNSW Sydney, Sydney, New South Wales, Australia
| | - Nicholas G Martin
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Chella Kamarajan
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
- Henri Begleiter Neurodynamics Lab, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Marc A Schuckit
- Department of Psychiatry, University of California San Diego Medical School, San Diego, CA, USA
| | - Robin M Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Danielle M Dick
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA
| | - Howard J Edenberg
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Deepak Cyril D’Souza
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Psychiatry Service, VA Connecticut Healthcare System, West Haven, CT, USA
| | - Marta Di Forti
- Department of Social Genetics and Developmental Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- South London and Maudsley NHS Mental Health Foundation Trust, London, UK
| | - Bernice Porjesz
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
- Henri Begleiter Neurodynamics Lab, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Elliot C Nelson
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
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Sterrett-Hong EM, Aliev F, Dick DM, Hooper LM, Mustanski B. Genetic Risk, Neighborhood Characteristics, and Behavioral Difficulties Among African American Adolescents Living in Very Low-Income Neighborhoods. Res Child Adolesc Psychopathol 2023; 51:653-664. [PMID: 36645613 PMCID: PMC10121776 DOI: 10.1007/s10802-023-01021-8] [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] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/30/2022] [Indexed: 01/17/2023]
Abstract
Behavioral difficulties among African American youth are disproportionately detrimental to their future well-being compared to when demonstrated by White American youth. The majority of gene-environment studies of behavior have been conducted with European ancestry samples, limiting our knowledge of these processes among African Americans. This study examined the influence of positive and negative neighborhood conditions, in the context of genetic risk, on behavioral difficulties among low-income African American adolescents. Data were from the Genes, Environment, and Neighborhood Initiative study of African American youth in high-poverty neighborhoods, n = 524, M age = 15.89, SD = 1.42. DNA samples were collected using the Oragene Discovery 500 series, and polygenic risk scores for behavioral difficulties computed. Neighborhood informal social control, social cohesion, physical disorder, and social disorder were assessed. Adolescent alcohol use, hyperactivity/inattention and conduct problems were examined as outcomes. After controlling for polygenic risk, lower levels of neighborhood social disorder and higher levels of social cohesion were associated with fewer youth-reported hyperactivity/inattention and conduct problems. Less social disorder also was associated with fewer parent-reported behavioral difficulties. Neighborhood characteristics did not moderate associations between genetic risk and the outcomes. Higher levels of positive and lower levels of negative neighborhood characteristics can be associated with lower levels of behavioral difficulties among African American youth living in poverty, even after taking into account genetic risk.
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Affiliation(s)
- Emma M Sterrett-Hong
- Kent School of Social Work & Family Science, University of Louisville, Oppenheimer Hall #102, 2217 S. 3rd St, 40292, Louisville, KY, USA.
| | - Fazil Aliev
- Rutgers University, New Brunswick, United States
| | | | - Lisa M Hooper
- University of Northern Iowa, Cedar Falls, United States
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Schuckit MA, Smith TL, Danko G, Bucholz KK, Hesselbrock V, Hesselbrock M, Kuperman S, Kramer J, Nurnberger JI, Lai D, Chan G, Kamarajan C, Kuo S, Dick DM, Tear J, Mendoza LA, Edenberg HJ, Porjesz B. Do personality characteristics predict future alcohol problems after considering current demography, substance use and alcohol response? Alcohol Clin Exp Res 2023. [PMID: 37073476 DOI: 10.1111/acer.15085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 03/14/2023] [Accepted: 04/11/2023] [Indexed: 04/20/2023]
Abstract
BACKGROUND Several personality traits predict future alcohol problems but also relate to demographic and substance-related variables that themselves correlate with later adverse alcohol outcomes. Few prospective studies have evaluated whether the personality measures predict alcohol problems after considering current demography and substance related variables. METHODS Data from 414 drinkers without alcohol use disorder (AUD) from the Collaborative Study on the Genetics of Alcoholism (average age 20, 44% male) were followed over an average of nine years. Time 1 (baseline) demography, AUD family history (FH), substance use and problems, and psychiatric histories were gathered using a standardized interview, the Level of Response (LR) to alcohol was measured by the Self-Report of the Effects of alcohol (SRE) questionnaire, and seven personality dimensions were extracted from the NEO Five-Factor Personality, Barratt and Zuckerman scales. Analyses involved product-moment correlations of each baseline measure with the highest number of DSM-IV AUD criteria endorsed in any follow-up period, and hierarchical regression analyses evaluated if the personality domains added significantly to the prediction of the outcome after adjusting for other baseline variables. RESULTS Significant correlations to the outcome were observed for baseline age, sex, length of follow-up, AUD family history, past cannabis use, and all alcohol-related baseline variables, including SRE-based Level of Response, but not prior mood or anxiety disorders. All personality characteristics except extraversion also correlated with outcomes. A hierarchical regression analysis that included all relevant personality scores together demonstrated significant contributions to the prediction of future alcohol problems for demography in Step 1, demography and most baseline alcohol items, including response level, in Step 2, and cannabis use in Step 3, after which demography, Level of Response, baseline alcohol problems, cannabis use, and higher sensation seeking added significantly in Step 4. Regression for each personality domain separately revealed significant contributions to Step 4 for all personality domains except openness. CONCLUSIONS Most tested personality scores contributed to predictions of later alcohol problems even after considering baseline demography and substance use. Lower Levels of Response to alcohol added significantly to all regression analyses.
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Affiliation(s)
- Marc A Schuckit
- University of California, San Diego, Department of Psychiatry, 8950 Villa La Jolla Drive. Suite B-218, La Jolla, CA
| | - Tom L Smith
- University of California, San Diego, 8950 Villa La Jolla Drive. Suite B-218, La Jolla, CA
| | - George Danko
- Department of Psychiatry, University of California, San Diego, La Jolla, California, United States
| | - Kathleen K Bucholz
- Washington Univ. School of Medicine, Psychiatry, 4560 Clayton Ave. Suite 1000, Saint Louis, MO, USA
| | - Victor Hesselbrock
- University of Connecticut, Department of Psychiatry, 263 Farmington Ave. MC-2103, Farmington, CT, USA
| | - Michie Hesselbrock
- University of Connecticut, Department of Psychiatry, 263 Farmington Ave. MC-2013, Farmington, CT
| | - Samuel Kuperman
- The University of Iowa, Child Psychiatry Clinic, UIHC Department of Psychiatry, 200 Hawkins Drive RM#2701-C JPP, Iowa City, IA, USA
| | - John Kramer
- University of Iowa, Psychiatry, Medical Education Building, Iowa City, IA
| | - John I Nurnberger
- Indiana University School of Medicine, Department of Psychiatry, 791 Union Drive, Indianapolis, IN, USA
| | - Dongbing Lai
- Indiana University School of Medicine, 410 W. 10th. St. Indianapolis, IN
| | - Grace Chan
- University of Connecticut Health Center, Department of Psychiatry, 263 Farmington Ave, MC 2103, Farmington, CT, USA
| | - Chella Kamarajan
- SUNY Downstate Medical Center, Henri Begleiter Neurodynamics Lab, 450 Clarkson Ave, Box 1203, Brooklyn, NY
| | - Sally Kuo
- Virginia Commonwealth University, VCU Psychology, 8 N. Harrison Street, Richmond, VA
| | - Danielle M Dick
- Rutgers Robert Wood Johnson Medical School, Psychiatry, 671 Hoes Lane, Piscataway, New, Jersey
| | - Jake Tear
- University of California, Department of Psychiatry, 8950 Villa La Jolla Drive. Suite B-218, La Jolla, CA
| | - Lee A Mendoza
- University of California, San Diego, Department of Psychiatry, 8950 Villa La Jolla Drive. Suite B-218, La Jolla, CA
| | - Howard J Edenberg
- Indiana University School of Medicine, Dept. of Biochemistry and Molecular Biology, 635 Barnhill Drive, MS4063, Indianapolis, IN, USA
| | - Bernice Porjesz
- State University of New York, Downstate, Psychiatry and Behavioral Sciences, 450 Clarkson Avenue Box 1203, Brooklyn, NY, UNITED STATES
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Kuo SIC, Thomas NS, Aliev F, Bucholz KK, Dick DM, McCutcheon VV, Meyers JL, Chan G, Kamarajan C, Kramer JR, Hesselbrock V, Plawecki MH, Porjesz B, Tischfield J, Salvatore JE. Association of parental divorce, discord, and polygenic risk with children's alcohol initiation and lifetime risk for alcohol use disorder. Alcohol Clin Exp Res (Hoboken) 2023; 47:724-735. [PMID: 36807915 PMCID: PMC10149624 DOI: 10.1111/acer.15042] [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] [Received: 11/06/2022] [Revised: 01/25/2023] [Accepted: 02/14/2023] [Indexed: 02/21/2023]
Abstract
BACKGROUND Parental divorce and discord are associated with poorer alcohol-related outcomes for offspring. However, not all children exposed to these stressors develop alcohol problems. Our objective was to test gene-by-environment interaction effects whereby children's genetic risk for alcohol problems modifies the effects of parental divorce and discord to predict alcohol outcomes. METHODS The sample included European (EA; N = 5608, 47% male, Mage ~ 36 years) and African (AA; N = 1714, 46% female, Mage ~ 33 years) ancestry participants from the Collaborative Study on the Genetics of Alcoholism. Outcomes included age at initiation of regular drinking and lifetime DSM-5 alcohol use disorder (AUD). Predictors included parental divorce, parental relationship discord, and offspring alcohol problems polygenic risk scores (PRSALC ). Mixed effects Cox proportional hazard models were used to examine alcohol initiation and generalized linear mixed effects models were used to examine lifetime AUD. Tests of PRS moderation of the effects of parental divorce/relationship discord on alcohol outcomes were examined on multiplicative and additive scales. RESULTS Among EA participants, parental divorce, parental discord, and higher PRSALC were associated with earlier alcohol initiation and greater lifetime AUD risk. Among AA participants, parental divorce was associated with earlier alcohol initiation and discord was associated with earlier initiation and AUD. PRSALC was not associated with either. Parental divorce/discord and PRSALC interacted on an additive scale in the EA sample, but no interactions were found in AA participants. CONCLUSIONS Children's genetic risk for alcohol problems modifies the impact of parental divorce/discord, consistent with an additive model of diathesis-stress interaction, with some differences across ancestry.
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Affiliation(s)
- Sally I-Chun Kuo
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, New Jersey, USA
| | - Nathaniel S. Thomas
- Department of Psychology, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Fazil Aliev
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, New Jersey, USA
| | - Kathleen K. Bucholz
- Department of Psychiatry, School of Medicine, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Danielle M. Dick
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, New Jersey, USA
| | - Vivia V. McCutcheon
- Department of Psychiatry, School of Medicine, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Jacquelyn L. Meyers
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
| | - Grace Chan
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, Connecticut, USA
| | - Chella Kamarajan
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
| | - John R. Kramer
- Department of Psychiatry, University of Iowa, Iowa City, Iowa, USA
| | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, Connecticut, USA
| | - Martin H. Plawecki
- Department of Psychiatry, Indiana University, Indianapolis, Indiana, USA
| | - Bernice Porjesz
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
| | - Jay Tischfield
- Department of Genetics, Rutgers University, Piscataway, New Jersey, USA
| | - Jessica E. Salvatore
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, New Jersey, USA
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Williams CM, Poore H, Tanksley PT, Kweon H, Courchesne-Krak NS, Londono-Correa D, Mallard TT, Barr P, Koellinger PD, Waldman ID, Sanchez-Roige S, Harden KP, Palmer AA, Dick DM, Linnér RK. Guidelines for Evaluating the Comparability of Down-Sampled GWAS Summary Statistics. bioRxiv 2023:2023.03.21.533641. [PMID: 36993611 PMCID: PMC10055200 DOI: 10.1101/2023.03.21.533641] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Proprietary genetic datasets are valuable for boosting the statistical power of genome-wide association studies (GWASs), but their use can restrict investigators from publicly sharing the resulting summary statistics. Although researchers can resort to sharing down-sampled versions that exclude restricted data, down-sampling reduces power and might change the genetic etiology of the phenotype being studied. These problems are further complicated when using multivariate GWAS methods, such as genomic structural equation modeling (Genomic SEM), that model genetic correlations across multiple traits. Here, we propose a systematic approach to assess the comparability of GWAS summary statistics that include versus exclude restricted data. Illustrating this approach with a multivariate GWAS of an externalizing factor, we assessed the impact of down-sampling on (1) the strength of the genetic signal in univariate GWASs, (2) the factor loadings and model fit in multivariate Genomic SEM, (3) the strength of the genetic signal at the factor level, (4) insights from gene-property analyses, (5) the pattern of genetic correlations with other traits, and (6) polygenic score analyses in independent samples. For the externalizing GWAS, down-sampling resulted in a loss of genetic signal and fewer genome-wide significant loci, while the factor loadings and model fit, gene-property analyses, genetic correlations, and polygenic score analyses are robust. Given the importance of data sharing for the advancement of open science, we recommend that investigators who share down-sampled summary statistics report these analyses as accompanying documentation to support other researchers' use of the summary statistics.
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Affiliation(s)
- Camille M Williams
- Department of Psychology and Population Research Center, University of Texas at Austin
| | - Holly Poore
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University
| | | | - Hyeokmoon Kweon
- Department of Economics, School of Business and Economics, Vrije Universiteit Amsterdam
| | | | | | - Travis T Mallard
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Boston, MA, USA
| | - Peter Barr
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University
| | | | | | - Sandra Sanchez-Roige
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA.; Department of Medicine, Division of Genetic Medicine, Vanderbilt University, Nashville, TN, USA
| | - K Paige Harden
- Department of Psychology and Population Research Center, University of Texas at Austin
| | - Abraham A Palmer
- Department of Psychiatry, University of California San Diego; Institute for Genomic Medicine, University of California San Diego
| | - Danielle M Dick
- Rutgers Addiction Research Center in the Brain Health Institute, Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University
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Driver MN, Kuo SIC, Dron JS, Austin J, Dick DM. The impact of receiving polygenic risk scores for alcohol use disorder on psychological distress, risk perception, and intentions to reduce drinking. Am J Med Genet B Neuropsychiatr Genet 2023. [PMID: 36856135 DOI: 10.1002/ajmg.b.32933] [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: 09/15/2022] [Accepted: 01/29/2023] [Indexed: 03/02/2023]
Abstract
For the return of polygenic risk scores to become an acceptable clinical practice in psychiatry, receipt of polygenic risk scores must be associated with minimal harm and changes in behavior that decrease one's risk for developing a psychiatric outcome. Data from a randomized controlled trial was used to assess the impact of different levels of hypothetical polygenic risk scores for alcohol use disorder on psychological distress, risk perception, and intentions to change drinking behaviors. The analytic sample consisted of 325 participants recruited from an urban, public university. Results demonstrated that there were significant increases in psychological distress as the level of genetic risk for alcohol use disorder increased. In addition, the perceived chance of developing alcohol use disorder significantly increased as the level of genetic risk increased. Promisingly, a greater proportion of participants indicated that they would intend to engage in follow-up behaviors, such as seeking additional information, talking to a healthcare provider about risk, and reducing drinking behaviors, as the level of genetic risk increased. Returning polygenic risk scores for alcohol use disorder in a clinical setting has the potential to promote risk-reducing behavior change, especially with increasing levels of genetic risk. The study was registered on ClinicalTrials.gov (Identifier: NCT05143073).
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Affiliation(s)
- Morgan N Driver
- Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Sally I-Chun Kuo
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, New Jersey, USA
| | - Jacqueline S Dron
- Center for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Jehannine Austin
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Danielle M Dick
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, New Jersey, USA.,Rutgers Addiction Research Center, Brain Health Institute, Rutgers University, Piscataway, New Jersey, USA
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Driver MN, Kuo SIC, Dick DM. Returning complex genetic risk information to promote better health-related behaviors: a commentary of the literature and suggested next steps. Transl Behav Med 2023; 13:115-119. [PMID: 36125098 PMCID: PMC9972341 DOI: 10.1093/tbm/ibac071] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Genome-wide association studies aim to identify genetic variants that are associated with a disease phenotype in order to enhance precision medicine efforts. Despite the excitement surrounding the promise of precision medicine and interest among the public in accessing personalized genetic information, there has been little effort dedicated to understanding how complex genetic risk information could be incorporated into clinical practice to inform prevention, screening, and treatment. In this article, we briefly summarize the literature on the impact of receiving genetic risk information on health-related behavior, discuss the limitations of these studies, and outline the challenges that will need to be overcome, along with suggested next steps for future studies, to understand the true promise of precision medicine. The current literature demonstrates that there is no consistent or strong evidence that receiving complex genetic risk information, such as polygenic risk scores, has an impact on behavior; however, there are a number of limitations that may impact the failure to find significant effects associated with receiving genetic feedback. Behavior change is a complex process and simply providing genetic risk information without incorporating a theoretical perspective on behavior change diminishes the potential impact of receiving genetic risk information on actual behavior change. Future studies and interventions which return genetic feedback should be designed using theoretical frameworks of behavior change models to improve the impact of receiving personalized genetic information.
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Affiliation(s)
- 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
| | - Danielle M Dick
- Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, USA
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, USA
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Thomas NS, Salvatore JE, Kuo SIC, Aliev F, McCutcheon VV, Meyers JM, Bucholz KK, Brislin SJ, Chan G, Edenberg HJ, Kamarajan C, Kramer JR, Kuperman S, Pandey G, Plawecki MH, Schuckit MA, Dick DM. Genetic nurture effects for alcohol use disorder. Mol Psychiatry 2023; 28:759-766. [PMID: 36253439 PMCID: PMC10079179 DOI: 10.1038/s41380-022-01816-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [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] [Received: 04/13/2022] [Revised: 09/19/2022] [Accepted: 09/23/2022] [Indexed: 11/09/2022]
Abstract
We tested whether aspects of the childhood/adolescent home environment mediate genetic risk for alcohol problems within families across generations. Parental relationship discord and parental divorce were the focal environments examined. The sample included participants of European ancestry (N = 4806, 51% female) and African ancestry (N = 1960, 52% female) from the high-risk Collaborative Study on the Genetics of Alcoholism. Alcohol outcomes in the child generation included lifetime criterion counts for DSM-5 Alcohol Use Disorder (AUD), lifetime maximum drinks in 24 h, age at initiation of regular drinking, and age at first alcohol intoxication. Predictors in the parent generation included relationship discord, divorce, alcohol measures parallel to those in the child generation, and polygenic scores for alcohol problems. Parental polygenic scores were partitioned into alleles that were transmitted and non-transmitted to the child. The results from structural equation models were consistent with genetic nurture effects in European ancestry families. Exposure to parental relationship discord and parental divorce mediated, in part, the transmission of genetic risk for alcohol problems from parents to children to predict earlier ages regular drinking (βindirect = -0.018 [-0.026, -0.011]) and intoxication (βindirect = -0.015 [-0.023, -0.008]), greater lifetime maximum drinks (βindirect = 0.006 [0.002, 0.01]) and more lifetime AUD criteria (βindirect = 0.011 [0.006, 0.016]). In contrast, there was no evidence that parental alleles had indirect effects on offspring alcohol outcomes via parental relationship discord or divorce in the smaller number of families of African ancestry. In conclusion, parents transmit genetic risk for alcohol problems to their children not only directly, but also indirectly via genetically influenced aspects of the home environment. Further investigation of genetic nurture in non-European samples is needed.
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Affiliation(s)
- Nathaniel S Thomas
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, USA.
| | - Jessica E Salvatore
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA.
| | - Sally I-Chun Kuo
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
| | - Fazil Aliev
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
| | - Vivia V McCutcheon
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Jacquelyn M Meyers
- Department of Psychiatry and Behavioral Sciences, State University of New York Health Sciences University, Brooklyn, NY, USA
| | - Kathleen K Bucholz
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Sarah J Brislin
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
| | - Grace Chan
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Howard J Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University, Indianapolis, IN, USA
| | - Chella Kamarajan
- Department of Psychiatry and Behavioral Sciences, State University of New York Health Sciences University, Brooklyn, NY, USA
| | - John R Kramer
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Samuel Kuperman
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Gayathri Pandey
- Department of Psychiatry and Behavioral Sciences, State University of New York Health Sciences University, Brooklyn, NY, USA
| | | | - Marc A Schuckit
- Department of Psychiatry, University of California San Diego Medical School, San Diego, CA, USA
| | - Danielle M Dick
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
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Popova D, Gameiro-Ros I, Youssef MM, Zalamea P, Morris AD, Prytkova I, Jadali A, Kwan KY, Kamarajan C, Salvatore JE, Xuei X, Chorlian DB, Porjesz B, Kuperman S, Dick DM, Goate A, Edenberg HJ, Tischfield JA, Pang ZP, Slesinger PA, Hart RP. Alcohol reverses the effects of KCNJ6 (GIRK2) noncoding variants on excitability of human glutamatergic neurons. Mol Psychiatry 2023; 28:746-758. [PMID: 36207584 PMCID: PMC9542475 DOI: 10.1038/s41380-022-01818-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 09/20/2022] [Accepted: 09/23/2022] [Indexed: 01/19/2023]
Abstract
Synonymous and noncoding single nucleotide polymorphisms (SNPs) in the KCNJ6 gene, encoding G protein-gated inwardly rectifying potassium channel subunit 2 (GIRK2), have been linked with increased electroencephalographic frontal theta event-related oscillations (ERO) in subjects diagnosed with alcohol use disorder (AUD). To identify molecular and cellular mechanisms while retaining the appropriate genetic background, we generated induced excitatory glutamatergic neurons (iN) from iPSCs derived from four AUD-diagnosed subjects with KCNJ6 variants ("Affected: AF") and four control subjects without variants ("Unaffected: UN"). Neurons were analyzed for changes in gene expression, morphology, excitability and physiological properties. Single-cell RNA sequencing suggests that KCNJ6 AF variant neurons have altered patterns of synaptic transmission and cell projection morphogenesis. Results confirm that AF neurons express lower levels of GIRK2, have greater neurite area, and elevated excitability. Interestingly, exposure to intoxicating concentrations of ethanol induces GIRK2 expression and reverses functional effects in AF neurons. Ectopic overexpression of GIRK2 alone mimics the effect of ethanol to normalize induced excitability. We conclude that KCNJ6 variants decrease GIRK2 expression and increase excitability and that this effect can be minimized or reduced with ethanol.
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Affiliation(s)
- Dina Popova
- Human Genetics Institute, Rutgers University, Piscataway, NJ, USA
| | - Isabel Gameiro-Ros
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Mark M Youssef
- Department of Cell Biology & Neuroscience, Rutgers University, Piscataway, NJ, USA
| | - Petronio Zalamea
- Human Genetics Institute, Rutgers University, Piscataway, NJ, USA
| | - Ayeshia D Morris
- Joint Program in Toxicology, Rutgers University, Piscataway, NJ, USA
| | - Iya Prytkova
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Azadeh Jadali
- Department of Cell Biology & Neuroscience, Rutgers University, Piscataway, NJ, USA
| | - Kelvin Y Kwan
- Department of Cell Biology & Neuroscience, Rutgers University, Piscataway, NJ, USA
| | - Chella Kamarajan
- Dept. of Psychiatry & Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Jessica E Salvatore
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
| | - Xiaoling Xuei
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - David B Chorlian
- Dept. of Psychiatry & Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Bernice Porjesz
- Dept. of Psychiatry & Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Samuel Kuperman
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Danielle M Dick
- Rutgers Addiction Research Center, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
| | - Alison Goate
- Department of Genetics & Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Howard J Edenberg
- Department of Biochemistry and Molecular Biology, Indiana Univ School of Medicine, Indianapolis, IN, USA
| | - Jay A Tischfield
- Human Genetics Institute, Rutgers University, Piscataway, NJ, USA
| | - Zhiping P Pang
- Human Genetics Institute, Rutgers University, Piscataway, NJ, USA
- Child Health Institute, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA
| | - Paul A Slesinger
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ronald P Hart
- Human Genetics Institute, Rutgers University, Piscataway, NJ, USA.
- Department of Cell Biology & Neuroscience, Rutgers University, Piscataway, NJ, USA.
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DeLaney EN, Williams CD, Jones SCT, Hood KB, Cage J, Coston BE, Hawn SE, Santana A, Dick DM. Sexual Victimization and Mental Health Among LGBQ + College Students: Examining Social Support and Trauma-Related Drinking as Mediators. Int J Ment Health Addict 2023. [DOI: 10.1007/s11469-022-00997-6] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2023] Open
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Driver MN, Kuo SIC, Austin J, Dick DM. Integrating Theory with Education about Genetic Risk for Alcohol Use Disorder: The Effects of a Brief Online Educational Tool on Elements of the Health Belief Model. Complex Psychiatry 2023; 9:89-99. [PMID: 37404871 PMCID: PMC10315003 DOI: 10.1159/000530222] [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] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 03/14/2023] [Indexed: 10/01/2023] Open
Abstract
Introduction The utility of genetic risk information relies on the assumption that individuals will use the information to change behavior to reduce risk of developing health problems. Educational interventions designed to target elements of the Health Belief Model have shown to be effective in promoting behaviors for positive outcomes. Methods A randomized controlled trial (RCT) was conducted in 325 college students to assess whether a brief, online educational intervention altered elements of the Health Belief Model that are known to be associated with motivations and intentions to change behavior. The RCT included a control condition, an intervention condition that received information about alcohol use disorder (AUD), and an intervention condition that received information about polygenic risk scores and AUD. We used t tests and ANOVA methods to compare differences in beliefs related to the Health Belief Model across study conditions and demographic characteristics. Results Providing educational information did not impact worry about developing AUD, perceived susceptibility and severity of developing alcohol problems, or perceived benefits and barriers of risk-reducing actions. Individuals in the condition that received educational information about polygenic risk scores and AUD reported higher perceived chance of developing AUD than individuals in the control condition (adj. p < 0.01). Sex, race/ethnicity, family history, and drinking status were associated with several components of the Health Belief Model. Conclusion Findings from this study demonstrate the need to better design and refine the educational information intended to accompany the return of genetic feedback for AUD to better promote risk-reducing behaviors.
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Affiliation(s)
- 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
| | - Jehannine Austin
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Danielle M. Dick
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
- Rutgers Addiction Research Center, Brain Health Institute, Rutgers University, Piscataway, NJ, USA
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Colbert SMC, Mullins N, Chan G, Meyers JL, Schulman J, Kuperman S, Lai D, Nurnberger J, Plawecki MH, Kamarajan C, Anokhin AP, Bucholz KK, Hesselbrock V, Edenberg HJ, Kramer J, Dick DM, Porjesz B, Agrawal A, Johnson EC. Polygenic Contributions to Suicidal Thoughts and Behaviors in a Sample Ascertained for Alcohol Use Disorders. Complex Psychiatry 2023; 9:11-23. [PMID: 38058956 PMCID: PMC10697665 DOI: 10.1159/000529164] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 01/03/2023] [Indexed: 12/08/2023] Open
Abstract
Introduction Suicidal thoughts and behaviors have partially distinct genetic etiologies. Methods We used PRS-CS to create polygenic risk scores (PRSs) from GWAS of non-suicidal self-injury, broad-sense self-harm ideation, nonfatal suicide attempt, death by suicide, and depression. Using mixed-effect models, we estimated whether these PRSs were associated with a range of suicidal thoughts and behaviors in the Collaborative Study on the Genetics of Alcoholism (N = 7,526). Results All PRSs were significantly associated with suicidal ideation and suicide attempt (betas = 0.08-0.44, false discovery rate [FDR] <0.023). All PRSs except non-suicidal self-injury PRS were associated with active suicidal ideation (betas = 0.14-0.22, FDR <0.003). Several associations remained significant in models where all significant PRSs were included as simultaneous predictors, and when all PRSs predicted suicide attempt, the PRS together explained 6.2% of the variance in suicide attempt. Significant associations were also observed between some PRSs and persistent suicidal ideation, non-suicidal self-injury, compounded suicide attempt, and desire to die. Conclusion Our findings suggest that PRS for depression does not explain the entirety of the variance in suicidal thoughts and behaviors, with PRS specifically for suicidal thoughts and behaviors making additional and sometimes unique contributions.
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Affiliation(s)
- Sarah M C Colbert
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Niamh Mullins
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Grace Chan
- Mount Sinai Clinical Intelligence Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jacquelyn L Meyers
- Department of Psychiatry, University of Connecticut, Farmington, CT, USA
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Jessica Schulman
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Samuel Kuperman
- Henri Begleiter Neurodynamics Lab, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Dongbing Lai
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - John Nurnberger
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Martin H Plawecki
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Chella Kamarajan
- Department of Psychiatry, University of Connecticut, Farmington, CT, USA
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Andrey P Anokhin
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Kathleen K Bucholz
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Victor Hesselbrock
- Mount Sinai Clinical Intelligence Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Howard J Edenberg
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
- Department of Psychiatry and Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA
| | - John Kramer
- Henri Begleiter Neurodynamics Lab, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Danielle M Dick
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Bernice Porjesz
- Department of Psychiatry, University of Connecticut, Farmington, CT, USA
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Arpana Agrawal
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA
| | - Emma C Johnson
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA
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Savage JE, Dick DM. Internalizing and externalizing subtypes of alcohol misuse and their relation to drinking motives. Addict Behav 2023; 136:107461. [PMID: 36063573 DOI: 10.1016/j.addbeh.2022.107461] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 06/15/2022] [Accepted: 08/08/2022] [Indexed: 02/03/2023]
Abstract
BACKGROUND Several typologies have proposed two etiological pathways involved in the development of alcohol misuse which are associated with the internalizing and externalizing domains of psychopathology, respectively. This study's aim was to investigate this typology in a young adult sample, and test whether drinking motives, specifically drinking for negative or positive reinforcement, may provide a plausible mechanism characterizing these pathways. METHOD Mixture modeling was conducted on a set of internalizing (anxiety, depression, neuroticism), externalizing (antisocial behavior, conscientiousness, sensation seeking, drug use), and alcohol misuse items (binge drinking, alcohol use disorder symptoms [AUDsx]) measured by self-report in a sample of 9,807 college students. Linear regression and chi-square tests were used to determine how latent class membership was associated with drinking motives, demographics, and personality characteristics. RESULTS The model identified 3 latent classes: a Low Risk class (70%), an Internalizing class (19%) with elevated levels of internalizing traits/symptoms and AUDsx, and an Externalizing class (10%) with elevated levels of externalizing traits/symptoms and both binge drinking and AUDsx. All drinking motives were substantially elevated in the Internalizing and Externalizing (vs Low Risk) classes (p < 3.0E-10), while positive reinforcement motives were specifically elevated in the Externalizing (vs Internalizing) class (p < 2.0E-55). Personality comparisons further emphasized the relevance of class distinctions. CONCLUSIONS These findings provide additional support for both a specific internalizing and a broadband externalizing association with subtypes of alcohol misuse. Drinking motives may be useful intermediate indicators of these different risk processes.
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Affiliation(s)
- Jeanne E Savage
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA; Present Address: Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit, Amsterdam, the Netherlands.
| | | | - Danielle M Dick
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, USA; Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, USA; College Behavioral and Emotional Health Institute, Virginia Commonwealth University, Richmond, VA, USA; Present address: Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers - The State University of New Jersey, Piscataway, NJ, USA
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Sheerin CM, Kuo SIC, Smith RL, Bannard T, Gentry AE, Dick DM, Amstadter AB. COVID and college: how the pandemic impacted alcohol use disorder status among students. J Am Coll Health 2022:1-8. [PMID: 36469936 PMCID: PMC10239786 DOI: 10.1080/07448481.2022.2133963] [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] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 06/15/2022] [Accepted: 06/19/2022] [Indexed: 06/06/2023]
Abstract
Objective: Alcohol consumption patterns during the COVID-19 pandemic have varied notably. Participants: We examined the acute impact of the pandemic on alcohol use disorder (AUD) in a generalizable sample of college students who were surveyed pre-pandemic and re-surveyed in May 2020. Method: Items assessed pre-pandemic included DSM-5 AUD and mental health symptoms. A COVID-19 impacts questionnaire was administered, and alcohol and mental health items re-assessed. Results: AUD symptoms decreased from pre-pandemic to during the pandemic, demonstrating a change in trajectory compared to prior cohorts. Students with persistent AUD reported greater concurrent symptoms of PTSD, depression, and alcohol consumption than those with remitted AUD (ps ≤ .02), but not increased COVID-19 impact. Persistent AUD status was predicted by higher sensation seeking and alcohol consumption. Conclusions: Students with concurrent mental health problems are at continued risk for persistent AUD. Findings highlight the impact of the college environment and social context for drinking on AUD.
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Affiliation(s)
- Christina M. Sheerin
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, 800 E. Leigh St., Richmond, VA, 23298
- Department of Psychiatry, Virginia Commonwealth University, 1200 E. Broad St., Richmond, VA 23298
| | - Sally I-Chun Kuo
- Department of Psychology, Virginia Commonwealth University, 806 W. Franklin Street, Richmond, VA, 23284
| | - Rebecca L. Smith
- Department of Psychology, Virginia Commonwealth University, 806 W. Franklin Street, Richmond, VA, 23284
| | - Thomas Bannard
- Rams in Recovery, University Counseling Services, Virginia Commonwealth University, 1103 W. Marshall Street, Richmond, VA, 23284
| | - Amanda E. Gentry
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, 800 E. Leigh St., Richmond, VA, 23298
| | - Danielle M. Dick
- Department of Psychology, Virginia Commonwealth University, 806 W. Franklin Street, Richmond, VA, 23284
- Department of Human and Molecular Genetics, Virginia Commonwealth University, 1101 E. Marshall Street, Richmond, VA, 23298
| | - Ananda B. Amstadter
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, 800 E. Leigh St., Richmond, VA, 23298
- Department of Psychiatry, Virginia Commonwealth University, 1200 E. Broad St., Richmond, VA 23298
- Department of Psychology, Virginia Commonwealth University, 806 W. Franklin Street, Richmond, VA, 23284
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University, 203 E. Cary Street, Richmond, VA, 23219
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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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Dick DM. The Promise and Peril of Genetics. Curr Dir Psychol Sci 2022; 31:480-485. [PMID: 36591341 PMCID: PMC9802013 DOI: 10.1177/09637214221112041] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Human genetics is advancing at an unprecedented pace. Improvements in genotyping technology and rapidly falling costs have accelerated gene discovery. We can now comprehensively scan the genome, testing variation across millions of genetic markers, to identify specific variants associated with any outcome of interest. Large consortia consisting of hundreds of scientists are analyzing data from hundreds of thousands to millions of individuals. Multivariate methods now enable us to identify genes involved in underlying processes, to complement studies focused on specific disorders or traits. There has been an exponential increase in use of direct-to-consumer genetic feedback platforms. These advances are poised to have a widespread effect on medicine and society. However, with such rapid progress will come ethical, social, and legal challenges. Among those challenges is the need for increased efforts to enhance public understanding of the ways genes contribute to complex behavioral outcomes, and for increased diversity in the field of genetics to ensure that all people benefit from advances. Psychologists can play an important role in addressing the inevitable questions that will arise as genetics increasingly becomes mainstream.
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Affiliation(s)
- Danielle M. Dick
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, Rutgers University
- Rutgers Addiction Research Center, Rutgers University
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Saunders GRB, Wang X, Chen F, Jang SK, Liu M, Wang C, Gao S, Jiang Y, Khunsriraksakul C, Otto JM, Addison C, Akiyama M, Albert CM, Aliev F, Alonso A, Arnett DK, Ashley-Koch AE, Ashrani AA, Barnes KC, Barr RG, Bartz TM, Becker DM, Bielak LF, Benjamin EJ, Bis JC, Bjornsdottir G, Blangero J, Bleecker ER, Boardman JD, Boerwinkle E, Boomsma DI, Boorgula MP, Bowden DW, Brody JA, Cade BE, Chasman DI, Chavan S, Chen YDI, Chen Z, Cheng I, Cho MH, Choquet H, Cole JW, Cornelis MC, Cucca F, Curran JE, de Andrade M, Dick DM, Docherty AR, Duggirala R, Eaton CB, Ehringer MA, Esko T, Faul JD, Fernandes Silva L, Fiorillo E, Fornage M, Freedman BI, Gabrielsen ME, Garrett ME, Gharib SA, Gieger C, Gillespie N, Glahn DC, Gordon SD, Gu CC, Gu D, Gudbjartsson DF, Guo X, Haessler J, Hall ME, Haller T, Harris KM, He J, Herd P, Hewitt JK, Hickie I, Hidalgo B, Hokanson JE, Hopfer C, Hottenga J, Hou L, Huang H, Hung YJ, Hunter DJ, Hveem K, Hwang SJ, Hwu CM, Iacono W, Irvin MR, Jee YH, Johnson EO, Joo YY, Jorgenson E, Justice AE, Kamatani Y, Kaplan RC, Kaprio J, Kardia SLR, Keller MC, Kelly TN, Kooperberg C, Korhonen T, Kraft P, Krauter K, Kuusisto J, Laakso M, Lasky-Su J, Lee WJ, Lee JJ, Levy D, Li L, Li K, Li Y, Lin K, Lind PA, Liu C, Lloyd-Jones DM, Lutz SM, Ma J, Mägi R, Manichaikul A, Martin NG, Mathur R, Matoba N, McArdle PF, McGue M, McQueen MB, Medland SE, Metspalu A, Meyers DA, Millwood IY, Mitchell BD, Mohlke KL, Moll M, Montasser ME, Morrison AC, Mulas A, Nielsen JB, North KE, Oelsner EC, Okada Y, Orrù V, Palmer ND, Palviainen T, Pandit A, Park SL, Peters U, Peters A, Peyser PA, Polderman TJC, Rafaels N, Redline S, Reed RM, Reiner AP, Rice JP, Rich SS, Richmond NE, Roan C, Rotter JI, Rueschman MN, Runarsdottir V, Saccone NL, Schwartz DA, Shadyab AH, Shi J, Shringarpure SS, Sicinski K, Skogholt AH, Smith JA, Smith NL, Sotoodehnia N, Stallings MC, Stefansson H, Stefansson K, Stitzel JA, Sun X, Syed M, Tal-Singer R, Taylor AE, Taylor KD, Telen MJ, Thai KK, Tiwari H, Turman C, Tyrfingsson T, Wall TL, Walters RG, Weir DR, Weiss ST, White WB, Whitfield JB, Wiggins KL, Willemsen G, Willer CJ, Winsvold BS, Xu H, Yanek LR, Yin J, Young KL, Young KA, Yu B, Zhao W, Zhou W, Zöllner S, Zuccolo L, Batini C, Bergen AW, Bierut LJ, David SP, Gagliano Taliun SA, Hancock DB, Jiang B, Munafò MR, Thorgeirsson TE, Liu DJ, Vrieze S. Genetic diversity fuels gene discovery for tobacco and alcohol use. Nature 2022; 612:720-724. [PMID: 36477530 PMCID: PMC9771818 DOI: 10.1038/s41586-022-05477-4] [Citation(s) in RCA: 93] [Impact Index Per Article: 46.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 10/25/2022] [Indexed: 12/12/2022]
Abstract
Tobacco and alcohol use are heritable behaviours associated with 15% and 5.3% of worldwide deaths, respectively, due largely to broad increased risk for disease and injury1-4. These substances are used across the globe, yet genome-wide association studies have focused largely on individuals of European ancestries5. Here we leveraged global genetic diversity across 3.4 million individuals from four major clines of global ancestry (approximately 21% non-European) to power the discovery and fine-mapping of genomic loci associated with tobacco and alcohol use, to inform function of these loci via ancestry-aware transcriptome-wide association studies, and to evaluate the genetic architecture and predictive power of polygenic risk within and across populations. We found that increases in sample size and genetic diversity improved locus identification and fine-mapping resolution, and that a large majority of the 3,823 associated variants (from 2,143 loci) showed consistent effect sizes across ancestry dimensions. However, polygenic risk scores developed in one ancestry performed poorly in others, highlighting the continued need to increase sample sizes of diverse ancestries to realize any potential benefit of polygenic prediction.
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Affiliation(s)
| | - Xingyan Wang
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
| | - Fang Chen
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
| | - Seon-Kyeong Jang
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Mengzhen Liu
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Chen Wang
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
| | - Shuang Gao
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
| | - Yu Jiang
- Department of Epidemiology & Population Health at Stanford University, Stanford, CA, USA
| | | | - Jacqueline M Otto
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Clifton Addison
- Jackson Heart Study (JHS) Graduate Training and Education Center (GTEC), Department of Epidemiology and Biostatistics, School of Public Health, Jackson State University, Jackson, MS, USA
| | - Masato Akiyama
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Department of Ocular Pathology and Imaging Science, Kyushu University Graduate School of Medical Sciences, Fukuoka, Japan
| | - Christine M Albert
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Fazil Aliev
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA
| | - Alvaro Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Donna K Arnett
- Dean's Office and Department of Epidemiology, College of Public Health, University of Kentucky, Lexington, KY, USA
| | - Allison E Ashley-Koch
- Department of Medicine and Duke Comprehensive Sickle Cell Center, Duke University School of Medicine, Durham, NC, USA
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - Aneel A Ashrani
- Division of Hematology, Department of Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN, USA
| | - Kathleen C Barnes
- Division of Biomedical Informatics & Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Tempus, Chicago, IL, USA
| | - R Graham Barr
- Department of Medicine, Columbia University Medical Center, New York, NY, USA
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Diane M Becker
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Lawrence F Bielak
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Emelia J Benjamin
- Department of Medicine, Boston Medical Center, Boston University School of Medicine, Boston, MA, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | | | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | | | - Jason D Boardman
- Institute of Behavioral Science, University of Colorado Boulder, Boulder, CO, USA
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Dorret I Boomsma
- Netherlands Twin Register, Dept Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Meher Preethi Boorgula
- Division of Biomedical Informatics & Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Donald W Bowden
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Brian E Cade
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Daniel I Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Sameer Chavan
- Division of Biomedical Informatics & Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Yii-Der Ida Chen
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Iona Cheng
- Department of Epidemiology & Biostatistics, University of California, San Francisco, CA, USA
- UCSF Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Hélène Choquet
- Kaiser Permanente Northern California (KPNC), Division of Research, Oakland, CA, USA
| | - John W Cole
- Department of Neurology, Baltimore Veterans Affairs Medical Center, Baltimore, MD, USA
- Division of Vascular Neurology, Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Marilyn C Cornelis
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | | | - Joanne E Curran
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Mariza de Andrade
- Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic College of Medicine and Science, Rochester, MN, USA
| | - Danielle M Dick
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA
| | - Anna R Docherty
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, USA
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Virginia, USA
- Huntsman Mental Health Institute, Salt Lake City, UT, USA
| | - Ravindranath Duggirala
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Charles B Eaton
- Department of Family Medicine, Brown University, Providence, RI, USA
| | - Marissa A Ehringer
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Tõnu Esko
- Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Jessica D Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Lilian Fernandes Silva
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
| | - Edoardo Fiorillo
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Monserrato, Italy
| | - Myriam Fornage
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Barry I Freedman
- Department of Internal Medicine-Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Maiken E Gabrielsen
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Melanie E Garrett
- Department of Medicine and Duke Comprehensive Sickle Cell Center, Duke University School of Medicine, Durham, NC, USA
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - Sina A Gharib
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, University of Washington, Seattle, WA, USA
- Center for Lung Biology, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Christian Gieger
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Nathan Gillespie
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Virginia, USA
| | - David C Glahn
- Department of Psychiatry & Behavioral Sciences, Boston Children's Hospital & Harvard Medical School, Boston, MA, USA
| | - Scott D Gordon
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Charles C Gu
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - Dongfeng Gu
- Department of Epidemiology and Key Laboratory of Cardiovascular Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Daniel F Gudbjartsson
- deCODE Genetics/Amgen, Inc., Reykjavik, Iceland
- School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Jeffrey Haessler
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Michael E Hall
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Toomas Haller
- Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Kathleen Mullan Harris
- Department of Sociology and the Carolina Population Center, University of North Carolina, Chapel Hill, NC, USA
| | - Jiang He
- Department of Epidemiology, Tulane University, New Orleans, LA, USA
- Translational Sciences Institute, Tulane University, New Orleans, LA, USA
| | - Pamela Herd
- McCourt School of Public Policy, Georgetown University, Washington, DC, USA
| | - John K Hewitt
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
- Department Of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
| | - Ian Hickie
- Youth Mental Health & Technology Team, Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Bertha Hidalgo
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - John E Hokanson
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Christian Hopfer
- Department of Psychiatry, University of Colorado Anschutz Medical Center, Denver, CO, USA
| | - JoukeJan Hottenga
- Netherlands Twin Register, Dept Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Hongyan Huang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yi-Jen Hung
- Institute of Preventive Medicine, National Defense Medical Center, New Taipei City, Taiwan
| | - David J Hunter
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Kristian Hveem
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- HUNT Research Center, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Department of Research, Innovation and Education, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Shih-Jen Hwang
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Chii-Min Hwu
- Section of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - William Iacono
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Marguerite R Irvin
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Yon Ho Jee
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Eric O Johnson
- GenOmics, Bioinformatics, and Translational Research Center, RTI International, Research Triangle Park, NC, USA
- Fellow Program, RTI International, Research Triangle Park, NC, USA
| | - Yoonjung Y Joo
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Institute of Data Science, Korea University, Seoul, South Korea
| | | | - Anne E Justice
- Department of Population Health Sciences, Geisinger, Danville, PA, USA
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Yoichiro Kamatani
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Laboratory of Complex Trait Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Robert C Kaplan
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland - FIMM, University of Helsinki, Helsinki, Finland
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Matthew C Keller
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
- Department Of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
| | - Tanika N Kelly
- Department of Epidemiology, Tulane University, New Orleans, LA, USA
- Translational Sciences Institute, Tulane University, New Orleans, LA, USA
| | - Charles Kooperberg
- Department of Biostatistics, University of Washington, Seattle, WA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Tellervo Korhonen
- Institute for Molecular Medicine Finland - FIMM, University of Helsinki, Helsinki, Finland
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Kenneth Krauter
- Department of Molecular, Cellular and Developmental Biology, University of Colorado, Boulder, CO, USA
| | - Johanna Kuusisto
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
- Center for Medicine and Clinical Research, Kuopio University Hospital, Kuopio, Finland
| | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Jessica Lasky-Su
- Brigham and Women's Hospital, Department of Medicine, Channing Division of Network Medicine, Boston, MA, USA
| | - Wen-Jane Lee
- Department of Medical Research, Taichung Veterans General Hospital, Taichung City, Taiwan
| | - James J Lee
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Daniel Levy
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Kevin Li
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Yuqing Li
- Department of Epidemiology & Biostatistics, University of California, San Francisco, CA, USA
| | - Kuang Lin
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Penelope A Lind
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- School of Biomedical Sciences, Faculty of Medicine, University of Queensland, Brisbane, Australia
- School of Biomedical Sciences, Queensland University of Technology, Brisbane, Australia
| | - Chunyu Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Donald M Lloyd-Jones
- Departments of Preventive Medicine, Medicine, and Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Sharon M Lutz
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Department of Biostatics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jiantao Ma
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Division of Nutrition Epidemiology and Data Science, Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Reedik Mägi
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Ani Manichaikul
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Nicholas G Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Ravi Mathur
- GenOmics, Bioinformatics, and Translational Research Center, RTI International, Research Triangle Park, NC, USA
| | - Nana Matoba
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Department of Genetics, UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Patrick F McArdle
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Matt McGue
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Matthew B McQueen
- Department of Integrative Physiology, University of Colorado, Boulder, CO, USA
| | - Sarah E Medland
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | | | | | - Iona Y Millwood
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Braxton D Mitchell
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD, USA
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Matthew Moll
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - May E Montasser
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Antonella Mulas
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Monserrato, Italy
| | - Jonas B Nielsen
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Kari E North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Elizabeth C Oelsner
- Department of Medicine, Columbia University Medical Center, New York, NY, USA
| | - Yukinori Okada
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
- Department of Genome Informatics, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan
| | - Valeria Orrù
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Monserrato, Italy
| | - Nicholette D Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Teemu Palviainen
- Institute for Molecular Medicine Finland - FIMM, University of Helsinki, Helsinki, Finland
| | - Anita Pandit
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - S Lani Park
- Population Sciences of the Pacific Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig Maximilians University Munich, Munich, Germany
- German Centre for Cardiovascular Research, DZHK, Partner Site Munich, Munich, Germany
| | - Patricia A Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Tinca J C Polderman
- Department of Clinical Developmental Psychology, Vrije Universiteit, Amsterdam, The Netherlands
- Department of Child and Adolescent Psychiatry, Amsterdam UMC, Amsterdam, The Netherlands
| | - Nicholas Rafaels
- Division of Biomedical Informatics & Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Robert M Reed
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Alex P Reiner
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - John P Rice
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Stephen S Rich
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Nicole E Richmond
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Carol Roan
- Center for Demography of Health and Aging, University of Wisconsin-Madison, Madison, WI, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Michael N Rueschman
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
| | | | - Nancy L Saccone
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - David A Schwartz
- Division of Pulmonary Sciences and Critical Care Medicine; Department of Medicine and Immunology, University of Colorado, Aurora, CO, USA
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, USA
| | | | | | - Kamil Sicinski
- Center for Demography of Health and Aging, University of Wisconsin-Madison, Madison, WI, USA
| | - Anne Heidi Skogholt
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Nicholas L Smith
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA
- Seattle Epidemiologic Research and Information Center, Department of Veterans Affairs Office of Research and Development, Seattle, WA, USA
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Division of Cardiology, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Michael C Stallings
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
- Department Of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
| | | | - Kari Stefansson
- deCODE Genetics/Amgen, Inc., Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Jerry A Stitzel
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - Xiao Sun
- Department of Epidemiology, Tulane University, New Orleans, LA, USA
| | - Moin Syed
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | | | - Amy E Taylor
- MRC Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, UK
- National Institute for Health Research Biomedical Research Centre at the University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, UK
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Marilyn J Telen
- Department of Medicine and Duke Comprehensive Sickle Cell Center, Duke University School of Medicine, Durham, NC, USA
| | - Khanh K Thai
- Kaiser Permanente Northern California (KPNC), Division of Research, Oakland, CA, USA
| | - Hemant Tiwari
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Constance Turman
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | - Tamara L Wall
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Robin G Walters
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - David R Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Scott T Weiss
- Brigham and Women's Hospital, Department of Medicine, Channing Division of Network Medicine, Boston, MA, USA
| | - Wendy B White
- Jackson Heart Study Undergraduate Training and Education Center, Tougaloo College, Tougaloo, MS, USA
| | - John B Whitfield
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Kerri L Wiggins
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Gonneke Willemsen
- Netherlands Twin Register, Dept Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Cristen J Willer
- Department of Internal Medicine, Division of Cardiology, University of Michigan, Ann Arbor, MI, USA
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Bendik S Winsvold
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Research and Innovation, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Huichun Xu
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Lisa R Yanek
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jie Yin
- Kaiser Permanente Northern California (KPNC), Division of Research, Oakland, CA, USA
| | - Kristin L Young
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Kendra A Young
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Bing Yu
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Wei Zhou
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Sebastian Zöllner
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Luisa Zuccolo
- MRC Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, UK
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Health Data Science Centre, Fondazione Human Technopole, Milan, Italy
| | - Chiara Batini
- Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Andrew W Bergen
- Oregon Research Institute, Springfield, OR, USA
- BioRealm, LLC, Walnut, CA, USA
| | - Laura J Bierut
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Sean P David
- Outcomes Research Network & Department of Family Medicine, NorthShore University HealthSystem, Evanston, IL, USA
- Department of Family Medicine, University of Chicago, Chicago, IL, USA
| | - Sarah A Gagliano Taliun
- Department of Medicine, Université de Montréal, Montréal, Québec, Canada
- Department of Neurosciences, Université de Montréal, Montréal, Québec, Canada
- Research Centre, Montréal Heart Institute, Montréal, Québec, Canada
| | - Dana B Hancock
- GenOmics, Bioinformatics, and Translational Research Center, RTI International, Research Triangle Park, NC, USA
| | - Bibo Jiang
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
| | - Marcus R Munafò
- MRC Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, UK
- National Institute for Health Research Biomedical Research Centre at the University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, UK
- School of Psychological Science, University of Bristol, Bristol, UK
| | | | - Dajiang J Liu
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA.
| | - Scott Vrieze
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA.
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