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Miller AP, Spychala KM, Slutske WS, Fromme K, Gizer IR. Binge drinking trajectories across adolescence and early adulthood: Associations with genetic influences for dual-systems impulsive personality traits, alcohol consumption, and alcohol use disorder. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.10.15.24315471. [PMID: 39484268 PMCID: PMC11527070 DOI: 10.1101/2024.10.15.24315471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/03/2024]
Abstract
Binge drinking is a relatively common pattern of alcohol use among youth with normative frequency trajectories peaking in emerging and early adulthood. Frequent binge drinking is a critical risk factor for not only the development of alcohol use disorders (AUDs) but also increased odds of alcohol-related injury and death, and thus constitutes a significant public health concern. Changes in binge drinking across development are strongly associated with changes in impulsive personality traits (IPTs) which have been hypothesized as intermediate phenotypes associated with genetic risk for heavy alcohol use and AUD. The current study sought to examine the extent to which longitudinal changes in binge drinking and intoxication frequency across adolescence and early adulthood are associated with genetic influences underlying dual-systems IPTs (i.e., top-down [lack of self-control] and bottom-up [sensation seeking and urgency] constructs) alongside genetic risk for alcohol consumption and AUD. Associations were tested using conditional latent growth curve polygenic score (PGS) models in three independent longitudinal samples (N=10,554). Results suggested consistent significant and independent associations across all samples between sensation seeking PGSs and model intercepts (i.e., higher frequency of binge drinking at first measurement occasion) and alcohol consumption PGSs and model slopes (i.e., steeper increases toward peak binge drinking frequency). Urgency PGSs were not significantly associated with changes in binge drinking or intoxication frequency. Collectively, these findings highlight the role of unique but correlated IPT and alcohol-specific genetic factors in the emergence and escalation of binge drinking during adolescence and early adulthood.
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Affiliation(s)
- Alex P. Miller
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Kellyn M. Spychala
- Department of Psychological Sciences, University of Missouri, Columbia, MO, United States
| | - Wendy S. Slutske
- Center for Tobacco Research and Intervention, Department of Family Medicine and Community Health, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
| | - Kim Fromme
- Department of Psychology, University of Texas, Austin, TX, United States
| | - Ian R. Gizer
- Department of Psychological Sciences, University of Missouri, Columbia, MO, United States
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2
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Hildebrand Karlén M, Lindqvist Bagge AS, Berggren U, Fahlke C, Andiné P, Doering S, Lundström S. Prevalence and heritability of alcohol use disorders in 18-year old Swedish twins. NORDIC STUDIES ON ALCOHOL AND DRUGS 2023; 40:391-405. [PMID: 37663054 PMCID: PMC10472931 DOI: 10.1177/14550725221090383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Accepted: 03/11/2022] [Indexed: 09/05/2023] Open
Abstract
Background: Heritability of alcohol use disorders (AUDs) varies widely, with reported estimates of 30-78% in twin studies. This variation might be due to methodological differences (e.g., using different thresholds for AUDs, age differences between samples). Aim: To investigate the heritability of AUDs in a nation-wide sample of male and female twins in late adolescence (18 years). Participants: The study is based on data from 8,330 18-year-old Swedish monozygotic (MZ) and dizygotic (DZ) twins from the Child and Adolescent Twin Study (Sweden). Method: Univariate sex-limitation twin analyses were performed using (a) total AUDIT score, (b) different AUDIT cut-offs (AUDIT-10: potentially harmful alcohol use and most likely alcohol dependent ; AUDIT-C: potential hazardous alcohol consumption/active alcohol use disorders), and (c) a risk-group classification for alcohol dependence based on AUDIT total score. Results: Prevalence of potential hazardous alcohol consumption/active alcohol use was 57.1%, and for potentially harmful alcohol use prevalence was 26.5%. Prevalence was higher among females (59.0% and 31.1% respectively) than males (54.4% and 20.0% respectively). Overall, the results of the univariate model fitting indicated that there were qualitative sex differences in the genetic and environmental influences on AUDs, with generally moderate heritability estimates ranging between 0.37 and 0.50. Discussion: At odds with previous research, a harmful/hazardous drinking pattern was more common in this age group among females than a low-risk drinking pattern (where males were overrepresented). Heritability estimates were moderate throughout all measures and cut-offs, with equally high contributions from shared and non-shared environment. Sex-limitation models revealed qualitative sex differences for AUDs, suggesting that different genetic and/or environmental factors influence variation in AUDs in males and females.
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Affiliation(s)
- Malin Hildebrand Karlén
- Centre for Ethics, Law and Mental Health, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
Department of Forensic Psychiatry, National Board of Forensic Medicine, Gothenburg, Sweden
Department of Psychology, University of Gothenburg, Gothenburg, Sweden
| | - Ann-Sophie Lindqvist Bagge
- Department of Psychology, University of Gothenburg, Gothenburg, Sweden
Centre for Ethics, Law and Mental Health, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
| | - Ulf Berggren
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
| | | | - Peter Andiné
- Centre for Ethics, Law and Mental Health, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
Forensic Psychiatric Clinic, Sahlgrenska University Hospital, Gothenburg, Sweden Department of Forensic Psychiatry, National Board of Forensic Medicine, Gothenburg, Sweden
| | - Sabrina Doering
- Centre for Ethics, Law and Mental Health, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
| | - Sebastian Lundström
- Centre for Ethics, Law and Mental Health, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
Gillberg Neuropsychiatry Centre, University of Gothenburg, Gothenburg, Sweden
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Bishop L, Barclay K. Birth order and health events attributable to alcohol and narcotics in midlife: A 25-year follow-up of a national Swedish birth cohort and their siblings. SSM Popul Health 2022; 19:101219. [PMID: 36091296 PMCID: PMC9450127 DOI: 10.1016/j.ssmph.2022.101219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 08/23/2022] [Accepted: 08/23/2022] [Indexed: 11/21/2022] Open
Abstract
Higher birth order is associated with increased risks of adverse health outcomes attributable to alcohol or narcotics in adolescence, but it remains unclear whether these observed birth order effects are also present in midlife. Drawing on a national Swedish cohort born in 1953 and their siblings, we estimate associations between birth order and alcohol- or narcotics-attributable hospitalization or death with a 25-year follow-up to assess whether birth order differences are observed during this life course period. Health events attributable to alcohol or narcotics use were identified using the Swedish National Patient and Cause of Death registers, respectively. We apply Cox proportional hazards models to estimate average birth order differences in hazards for alcohol- or narcotics-attributable hospitalization or death between ages 30 and 55. We estimate birth order differences between families, and use two fixed-effects approaches to estimate birth order differences within families and within families of the same type. Bivariate results indicate increased hazards for both outcomes with higher birth order; however, these results are no longer observed after adjustment for familial background characteristics in all models. Our results thereby show limited evidence for birth order differences in midlife. This study highlights that shared factors within the family of origin may be stronger predictors of adverse health outcomes attributable to substance use among siblings during this life course period. Future research should disentangle the contributions of the social environment within the family of origin for adverse health outcomes attributable to alcohol or narcotics among siblings. We estimate birth order differences for alcohol or narcotics use outcomes between ages 30-55. Birth order differences are not observed for alcohol- or narcotics-attributable events in midlife. Family background characteristics may be stronger predictors of these outcomes.
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Bellia F, Fernández MS, Fabio MC, Pucci M, Pautassi RM, D'Addario C. Selective alterations in endogenous opioid system genes expression in rats selected for high ethanol intake during adolescence. Drug Alcohol Depend 2020; 212:108025. [PMID: 32442753 DOI: 10.1016/j.drugalcdep.2020.108025] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Revised: 03/31/2020] [Accepted: 04/10/2020] [Indexed: 02/07/2023]
Abstract
Historically, the roots of alcoholism have been linked to either environment or heredity. However, the interaction between these factors is still largely unexplored. The evidence supports a link between alcohol consumption and the endogenous opioid system. We here studied the opioid genes expression in male and female Wistar rats derived from a short-term breeding program which selected -- at adolescence -- for high (ADHI line) or low (ADLO line) ethanol drinking. Specifically, in this work we analyzed central opioid gene expression in the rats of the second filial generation (S2-ADLO and S2-ADHI). Selective downregulation of pronociceptin (Pnoc) and its receptor (Oprl1) mRNA levels were observed in the prefrontal cortex of male S2-ADHI rats when compared to S2-ADLO, and for Oprl1 also in the nucleus accumbens. An increase in gene expression was instead observed for pro-opiomelanocortin (Pomc) in the nucleus accumbens of S2-ADHI males when compared to S2-ADLO, as well as for mu opioid receptor (Oprm1) but in females. The differences in mRNA levels may be due to the different alcohol consumption between the two groups of rats or may represent pre-existing differences between them. Moreover, we show a sex-specific modulation of the expression of these genes, thus pointing out the importance of sex on ethanol responses. The results might lead to more specific and effective pharmacological treatments for alcoholism.
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Affiliation(s)
| | - Macarena Soledad Fernández
- Instituto de Investigación Médica M. y M. Ferreyra, INIMEC-CONICET, Universidad Nacional de Córdoba, Córdoba, Argentina
| | - María Carolina Fabio
- Instituto de Investigación Médica M. y M. Ferreyra, INIMEC-CONICET, Universidad Nacional de Córdoba, Córdoba, Argentina; Facultad de Psicología, Universidad Nacional de Córdoba, Córdoba, Argentina
| | | | - Ricardo Marcos Pautassi
- Instituto de Investigación Médica M. y M. Ferreyra, INIMEC-CONICET, Universidad Nacional de Córdoba, Córdoba, Argentina; Facultad de Psicología, Universidad Nacional de Córdoba, Córdoba, Argentina.
| | - Claudio D'Addario
- Università degli Studi di Teramo, Teramo, Italy; Karolinska Institutet, Department of Clinical Neuroscience, Stockholm, Sweden.
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Torvik FA, Gustavson K, Ystrom E, Rosenström TH, Gillespie N, Reichborn-Kjennerud T, Kendler KS. Continuity of genetic and environmental influences on clinically assessed major depression from ages 18 to 45. Psychol Med 2019; 49:2582-2590. [PMID: 30484418 DOI: 10.1017/s0033291718003550] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND Studies on the stability of genetic risk for depression have relied on self-reported symptoms rather than diagnoses and/or short follow-up time. Our aim is to determine to what degree genetic and environmental influences on clinically assessed major depressive disorder (MDD) are stable between age 18 and 45. METHODS A population-based sample of 11 727 twins (6875 women) born between 1967 and 1991 was followed from 2006 to 2015 in health registry data from primary care that included diagnoses provided by treating physicians. Individuals with schizophrenia or bipolar disorder (n = 163) were excluded. We modelled genetic and environmental risk factors for MDD in an accelerated longitudinal design. RESULTS The best-fitting model indicated that genetic influences on MDD were completely stable from ages 18 to 45 and explained 38% of the variance. At each age, the environmental risk of MDD was determined by the risk at the preceding observation, plus new environmental risk, with an environmental correlation of +0.60 over 2 years. The model indicated no effects of shared environment and no environmental effects stable throughout the observational period. All long-term stability was therefore explained by genetic factors. CONCLUSIONS Different processes unfolded in the genetic and environmental risk for MDD. The genetic component is stable from later adolescence to middle adulthood and accounted for nearly all long-term stability. Therefore, molecular genetic studies can use age-heterogenous samples when investigating genetic risk variants of MDD. Environmental risk factors were stable over a short span of years with associations rapidly decreasing and no evidence of permanent environmental scarring.
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Affiliation(s)
- Fartein Ask Torvik
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Kristin Gustavson
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Eivind Ystrom
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
- PharmacoEpidemiology and Drug Safety Research Group, School of Pharmacy, University of Oslo, Oslo, Norway
| | - Tom H Rosenström
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
| | - Nathan Gillespie
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - Ted Reichborn-Kjennerud
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Kenneth S Kendler
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
- Department of Human and Molecular Genetics and Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
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Schwabe I, Gu Z, Tijmstra J, Hatemi P, Pohl S. Psychometric Modelling of Longitudinal Genetically Informative Twin Data. Front Genet 2019; 10:837. [PMID: 31681400 PMCID: PMC6807617 DOI: 10.3389/fgene.2019.00837] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Accepted: 08/13/2019] [Indexed: 12/04/2022] Open
Abstract
The often-used A(C)E model that decomposes phenotypic variance into parts due to additive genetic and environmental influences can be extended to a longitudinal model when the trait has been assessed at multiple occasions. This enables inference about the nature (e.g., genetic or environmental) of the covariance among the different measurement points. In the case that the measurement of the phenotype relies on self-report data (e.g., questionnaire data), often, aggregated scores (e.g., sum–scores) are used as a proxy for the phenotype. However, earlier research based on the univariate ACE model that concerns a single measurement occasion has shown that this can lead to an underestimation of heritability and that instead, one should prefer to model the raw item data by integrating an explicit measurement model into the analysis. This has, however, not been translated to the more complex longitudinal case. In this paper, we first present a latent state twin A(C)E model that combines the genetic twin model with an item response theory (IRT) model as well as its specification in a Bayesian framework. Two simulation studies were conducted to investigate 1) how large the bias is when sum–scores are used in the longitudinal A(C)E model and 2) if using the latent twin model can overcome the potential bias. Results of the first simulation study (e.g., AE model) demonstrated that using a sum–score approach leads to underestimated heritability estimates and biased covariance estimates. Surprisingly, the IRT approach also lead to bias, but to a much lesser degree. The amount of bias increased in the second simulation study (e.g., ACE model) under both frameworks, with the IRT approach still being the less biased approach. Since the bias was less severe under the IRT approach than under the sum–score approach and due to other advantages of latent variable modelling, we still advise researcher to adopt the IRT approach. We further illustrate differences between the traditional sum–score approach and the latent state twin A(C)E model by analyzing data of a two-wave twin study, consisting of the answers of 8,016 twins on a scale developed to measure social attitudes related to conservatism.
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Affiliation(s)
- Inga Schwabe
- Methodology and Statistics, Tilburg University, Tilburg, Netherlands.,Translational Neurogenomics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Zhengguo Gu
- Methodology and Statistics, Tilburg University, Tilburg, Netherlands
| | - Jesper Tijmstra
- Methodology and Statistics, Tilburg University, Tilburg, Netherlands
| | - Pete Hatemi
- Political Science, Pennsylvania State University, University Park, Pennsylvania, United States
| | - Steffi Pohl
- Methods and Evaluation/Quality Assurance, Freie Universität Berlin, Berlin, Germany
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7
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Zorlu N, Çapraz N, Oztekin E, Bagci B, Di Biase MA, Zalesky A, Gelal F, Bora E, Durmaz E, Beşiroğlu L, Sarıçiçek A. Rich club and reward network connectivity as endophenotypes for alcohol dependence: a diffusion tensor imaging study. Addict Biol 2019; 24:265-274. [PMID: 29280246 DOI: 10.1111/adb.12599] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2017] [Revised: 11/23/2017] [Accepted: 12/10/2017] [Indexed: 12/13/2022]
Abstract
We aimed to examine the whole-brain white matter connectivity and local topology of reward system nodes in patients with alcohol use disorder (AUD) and unaffected siblings, relative to healthy comparison individuals. Diffusion-weighted magnetic resonance imaging scans were acquired from 18 patients with AUD, 15 unaffected siblings of AUD patients and 15 healthy controls. Structural networks were examined using network-based statistic and connectomic analysis. Connectomic analysis showed a significant ordered difference in normalized rich club organization (AUD < Siblings < Controls). We also found rank ordered differences (Control > Sibling > AUD) for both nodal clustering coefficient and nodal local efficiency in reward system nodes, particularly left caudate, right putamen and left hippocampus. Network-based statistic analyses showed that AUD group had significantly weaker connectivity than controls in the right hemisphere, mostly in the edges connecting putamen and hippocampus with other brain regions. Our results suggest that reward system network abnormalities, especially in subcortical structures, and impairments in rich-club organization might be related to the familial predisposition for AUD.
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Affiliation(s)
- Nabi Zorlu
- Department of Psychiatry; Katip Celebi University, Ataturk Training and Research Hospital; Turkey
| | - Necip Çapraz
- Department of Psychiatry; Medipol University Health Research and Administration Center, Sefakoy Hospital; Istanbul Turkey
| | - Esra Oztekin
- Department of Psychiatry; Katip Celebi University, Ataturk Training and Research Hospital; Turkey
| | - Başak Bagci
- Department of Psychiatry; Katip Celebi University, Ataturk Training and Research Hospital; Turkey
| | - Maria A. Di Biase
- Melbourne Neuropsychiatry Centre, Department of Psychiatry; The University of Melbourne and Melbourne Health; Australia
| | - Andrew Zalesky
- Melbourne Neuropsychiatry Centre, Department of Psychiatry; The University of Melbourne and Melbourne Health; Australia
| | - Fazıl Gelal
- Department of Radiodiagnostics; Katip Celebi University, Ataturk Training and Research Hospital; Turkey
| | - Emre Bora
- Melbourne Neuropsychiatry Centre, Department of Psychiatry; The University of Melbourne and Melbourne Health; Australia
- Department of Psychiatry; Dokuz Eylül University Medical School; Turkey
| | - Ercan Durmaz
- Department of Psychiatry; Katip Celebi University, Ataturk Training and Research Hospital; Turkey
| | - Lütfullah Beşiroğlu
- Department of Psychiatry; Katip Celebi University, Ataturk Training and Research Hospital; Turkey
| | - Aybala Sarıçiçek
- Department of Psychiatry; Katip Celebi University, Ataturk Training and Research Hospital; Turkey
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Savage JE, Long EC, Kuo SIC, Cooke ME, Su J, Barr PB, Salvatore JE. Alcohol Misuse Across the Lifespan: Insights from Developmental Studies in Behavior Genetics. ACTA ACUST UNITED AC 2018; 4:186-193. [PMID: 29430518 DOI: 10.1177/2372732217720222] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Alcohol misuse, one of today's greatest public health challenges, is a developmentally dynamic, complex behavior at the intersection of genetic and environmental influences. This review examines such influences from a behavior genetics perspective and discusses implications for public policy. Alcohol misuse is moderately heritable with genetic influences accounting for around 50% of its variance, but to date few specific genes have been identified. However, numerous environmental and social factors moderate genetic risk, including parents, peers, romantic partners, family dynamics, employment, laws, and cultural influences. These moderating factors change in salience across development, and, accordingly, no one-size-fits-all approach is suitable for reducing alcohol misuse at a large scale. We provide examples of some effective prevention and intervention programs and discuss a framework for using the behavior genetics evidence to inform future public policy efforts.
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Affiliation(s)
- Jeanne E Savage
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - Elizabeth C Long
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - Sally I-Chun Kuo
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, USA
| | - Megan E Cooke
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - Jinni Su
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, USA
| | - Peter B Barr
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, USA
| | - Jessica E Salvatore
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA.,Department of Psychology, Virginia Commonwealth University, Richmond, VA, USA
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