Polygenic and environmental influences on the course of African Americans’ alcohol use from early adolescence through young adulthood

Abstract The study examined (a) whether alcohol use subgroups could be identified among African Americans assessed from adolescence through early adulthood, and (b) whether subgroup membership was associated with the interaction between internalizing symptoms and antisocial behavior polygenic risk scores (PRSs) and environmental characteristics (i.e., parental monitoring, community disadvantage). Participants (N = 436) were initially recruited for an elementary school-based prevention trial in a Mid-Atlantic city. Youths reported on the frequency of their past year alcohol use from ages 14–26. DNA was obtained from participants at age 21. Internalizing symptoms and antisocial behavior PRSs were created based on a genome-wide association study (GWAS) conducted by Benke et al. (2014) and Tielbeek et al. (2017), respectively. Parental monitoring and community disadvantage were assessed at age 12. Four classes of past year alcohol use were identified: (a) early-onset, increasing; (b) late-onset, moderate use; (c) low steady; and (d) early-onset, decreasing. In high community disadvantaged settings, participants with a higher internalizing symptoms PRS were more likely to be in the early-onset, decreasing class than the low steady class. When exposed to elevated community disadvantage, participants with a higher antisocial behavior PRS were more likely to be in the early-onset, increasing class than the early-onset, decreasing and late-onset, moderate use classes.

[1]  Rashelle J. Musci,et al.  The interplay between externalizing disorders polygenic risk scores and contextual factors on the development of marijuana use disorders. , 2018, Drug and alcohol dependence.

[2]  Elizabeth D. Nesoff,et al.  Understanding the relationship between alcohol outlet density and life expectancy in Baltimore City: The role of community violence and community disadvantage. , 2018, Journal of community psychology.

[3]  J. Su,et al.  Latent trajectories of alcohol use from early adolescence to young adulthood: Interaction effects between 5-HTTLPR and parenting quality and gender differences , 2018, Development and Psychopathology.

[4]  B. Reboussin,et al.  The Impact of the Urban Neighborhood Environment on Marijuana Trajectories During Emerging Adulthood , 2018, Prevention Science.

[5]  Kevin M. Beaver,et al.  Genome-Wide Association Studies of a Broad Spectrum of Antisocial Behavior , 2017, JAMA psychiatry.

[6]  J. Potash,et al.  Polygenic Scores for Major Depressive Disorder and Risk of Alcohol Dependence , 2017, JAMA psychiatry.

[7]  Jacob M. Keaton,et al.  Population Stratification in Genetic Association Studies , 2017, Current protocols in human genetics.

[8]  Tamika C. B. Zapolski,et al.  Trends in typologies of concurrent alcohol, marijuana, and cigarette use among US adolescents: An ecological examination by sex and race/ethnicity. , 2017, Drug and alcohol dependence.

[9]  R. Catalano,et al.  An Examination of Alcohol Use Disorder Symptoms and Neighborhood Disorganization from Age 21 to 39 , 2017, American journal of community psychology.

[10]  M. Hesselbrock,et al.  Review: Genetic research on alcohol use outcomes in African American populations A review of the literature, associated challenges, and implications , 2017, The American journal on addictions.

[11]  K. Kendler,et al.  Stability and Change in Etiological Factors for Alcohol Use Disorder and Major Depression , 2017, Journal of abnormal psychology.

[12]  J. Kaprio,et al.  Polygenic Risk, Personality Dimensions, and Adolescent Alcohol Use Problems: A Longitudinal Study. , 2017, Journal of studies on alcohol and drugs.

[13]  Laura E. Engelhardt,et al.  Sensation seeking and impulsive traits as personality endophenotypes for antisocial behavior: Evidence from two independent samples. , 2017, Personality and individual differences.

[14]  Katherine E. Masyn,et al.  Measurement Invariance and Differential Item Functioning in Latent Class Analysis With Stepwise Multiple Indicator Multiple Cause Modeling , 2017 .

[15]  S. Fullerton,et al.  Genomics is failing on diversity , 2016, Nature.

[16]  W. Crano,et al.  Adolescent Alcohol Use: Protective and Predictive Parent, Peer, and Self-Related Factors , 2016, Prevention Science.

[17]  Christopher R. Gignoux,et al.  Human demographic history impacts genetic risk prediction across diverse populations , 2016, bioRxiv.

[18]  W. Crano,et al.  The Enduring Impact of Parents’ Monitoring, Warmth, Expectancies, and Alcohol Use on Their Children’s Future Binge Drinking and Arrests: a Longitudinal Analysis , 2016, Prevention Science.

[19]  B. Hicks,et al.  Alcohol Use and the Alcohol Use Disorders Over the Life Course: A Cross‐Level Developmental Review , 2016 .

[20]  Jin Huang,et al.  Low-income Children's participation in the National School Lunch Program and household food insufficiency. , 2016, Social science & medicine.

[21]  B. Maher Polygenic Scores in Epidemiology: Risk Prediction, Etiology, and Clinical Utility , 2015, Current Epidemiology Reports.

[22]  B. Reboussin,et al.  The role of neighborhood in urban black adolescent marijuana use. , 2015, Drug and alcohol dependence.

[23]  J. Hewitt,et al.  Bivariate Trajectories of Substance Use and Antisocial Behavior , 2015, Emerging adulthood.

[24]  Katherine E. Masyn,et al.  The effects of the interplay of genetics and early environmental risk on the course of internalizing symptoms from late childhood through adolescence , 2015, Development and Psychopathology.

[25]  Carson C Chow,et al.  Second-generation PLINK: rising to the challenge of larger and richer datasets , 2014, GigaScience.

[26]  Sarah E. Nelson,et al.  Alcohol, marijuana, and tobacco use trajectories from age 12 to 24 years: Demographic correlates and young adult substance use problems , 2014, Development and Psychopathology.

[27]  Laura Kann,et al.  Youth risk behavior surveillance--United States, 2013. , 2014, MMWR supplements.

[28]  P. Scheet,et al.  A genome-wide association meta-analysis of preschool internalizing problems. , 2014, Journal of the American Academy of Child and Adolescent Psychiatry.

[29]  J. Dawson Moderation in Management Research: What, Why, When, and How , 2014 .

[30]  P. Leaf,et al.  Off-Premise Alcohol Outlets and Substance Use in Young and Emerging Adults , 2014, Substance use & misuse.

[31]  K. Sher,et al.  The developmental psychopathology of alcohol use and alcohol disorders: Research achievements and future directions , 2013, Development and Psychopathology.

[32]  S. Mrug,et al.  Parental and peer disapproval of alcohol use and its relationship to adolescent drinking: age, gender, and racial differences. , 2013, Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors.

[33]  K. Kendler,et al.  Genetic and environmental predictors of latent trajectories of alcohol use from adolescence to adulthood: a male twin study. , 2013, Alcoholism, clinical and experimental research.

[34]  L. Hawk,et al.  Prospective Associations of Internalizing and Externalizing Problems and Their Co-Occurrence with Early Adolescent Substance Use , 2012, Journal of Abnormal Child Psychology.

[35]  P. Monti,et al.  Trajectories of adolescent alcohol use after brief treatment in an Emergency Department. , 2012, Drug and alcohol dependence.

[36]  B. Schneider,et al.  Drinking, Socioemotional Functioning, and Academic Progress in Secondary School , 2012, Journal of health and social behavior.

[37]  F. Rijsdijk,et al.  The Covariation of Antisocial Behavior and Substance Use in Adolescence: A Behavioral Genetic Perspective , 2012 .

[38]  C. Postert,et al.  Prognosis and Continuity of Child Mental Health Problems from Preschool to Primary School: Results of a Four-Year Longitudinal Study , 2012, Child Psychiatry & Human Development.

[39]  D. Altshuler,et al.  A map of human genome variation from population-scale sequencing , 2010, Nature.

[40]  Joshua M. Korn,et al.  Integrating common and rare genetic variation in diverse human populations , 2010, Nature.

[41]  A. Tengström,et al.  Adolescent alcohol use trajectories: Predictors and subsequent problems. , 2010, Addictive behaviors.

[42]  A. Morris,et al.  Data quality control in genetic case-control association studies , 2010, Nature Protocols.

[43]  Anna Vignoles,et al.  Is children’s free school meal ‘eligibility’ a good proxy for family income? , 2010 .

[44]  Amy R. Krentzman,et al.  Spirituality, Religiousness, and Alcoholism Treatment Outcomes: A Comparison between Black and White Participants , 2010, Alcoholism treatment quarterly.

[45]  M. Wall,et al.  Trajectories of Substance Use Disorders in Youth: Identifying and Predicting Group Memberships , 2010, Journal of child & adolescent substance abuse.

[46]  K. Bauman,et al.  Relationships of Adolescents’ Perceptions of Parental and Peer Behaviors with Cigarette and Alcohol Use in Different Neighborhood Contexts , 2009, Journal of youth and adolescence.

[47]  P. Donnelly,et al.  A Flexible and Accurate Genotype Imputation Method for the Next Generation of Genome-Wide Association Studies , 2009, PLoS genetics.

[48]  W. Crano,et al.  Pathways from Parental Knowledge and Warmth to Adolescent Marijuana Use: An Extension to the Theory of Planned Behavior , 2009, Prevention Science.

[49]  J. Unger,et al.  Effects of Parental Monitoring, Parent–Child Communication, and Parents' Expectation of the Child's Acculturation on the Substance Use Behaviors of Urban, Hispanic Adolescents , 2008, Journal of ethnicity in substance abuse.

[50]  W. Collins,et al.  Childhood and adolescent predictors of heavy drinking and alcohol use disorders in early adulthood: a longitudinal developmental analysis. , 2008, Addiction.

[51]  S. Tapert,et al.  Alcohol, psychological dysregulation, and adolescent brain development. , 2008, Alcoholism, clinical and experimental research.

[52]  K. Taylor,et al.  Genome-Wide Association , 2007, Diabetes.

[53]  B. Muthén,et al.  Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study , 2007 .

[54]  R. Sabatelli,et al.  Families, Urban Neighborhood Youth Centers, and Peers as Contexts for Development , 2007 .

[55]  E. Chen,et al.  Socioeconomic Status and Health Behaviors in Adolescence: A Review of the Literature , 2007, Journal of Behavioral Medicine.

[56]  S. Utsey,et al.  Examining the Role of Culture-Specific Coping as a Predictor of Resilient Outcomes in African Americans From High-Risk Urban Communities , 2007 .

[57]  Paula J. Fite,et al.  Childhood behavior problems and peer selection and socialization: risk for adolescent alcohol use. , 2006, Addictive behaviors.

[58]  A. Sourander,et al.  The continuity of psychopathology from early childhood to preadolescence , 2006, European Child & Adolescent Psychiatry.

[59]  C. Patrick,et al.  Externalizing psychopathology in adulthood: a dimensional-spectrum conceptualization and its implications for DSM-V. , 2005, Journal of abnormal psychology.

[60]  A. McQueen,et al.  Pathways to adolescent alcohol use: family environment, peer influence, and parental expectations. , 2005, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.

[61]  M. Shanahan,et al.  Social Context in Gene-Environment Interactions: Retrospect and Prospect. , 2005, The journals of gerontology. Series B, Psychological sciences and social sciences.

[62]  Sooyeon Kim,et al.  Longitudinal links among parenting, self-presentations to peers, and the development of externalizing and internalizing symptoms in African American siblings , 2005, Development and Psychopathology.

[63]  N. Ialongo,et al.  The Relationship Between Perceptions of Neighborhood Characteristics and Substance Use Among Urban African American Adolescents , 2004, American journal of community psychology.

[64]  W. Iacono,et al.  Childhood externalizing and internalizing psychopathology in the prediction of early substance use. , 2004, Addiction.

[65]  D. Lynam,et al.  Early adolescent through young adult alcohol and marijuana use trajectories: Early predictors, young adult outcomes, and predictive utility , 2004, Development and Psychopathology.

[66]  K. Kendler,et al.  The structure of genetic and environmental risk factors for common psychiatric and substance use disorders in men and women. , 2003, Archives of general psychiatry.

[67]  E. Costello,et al.  Community studies on adolescent substance use, abuse, or dependence and psychiatric comorbidity. , 2002, Journal of consulting and clinical psychology.

[68]  J. Wallace,et al.  Preventing Substance Abuse Among African American Children and Youth: Race Differences in Risk Factor Exposure and Vulnerability , 2002, Journal of Primary Prevention.

[69]  L. Chassin,et al.  Binge drinking trajectories from adolescence to emerging adulthood in a high-risk sample: predictors and substance abuse outcomes. , 2002, Journal of consulting and clinical psychology.

[70]  Craig K. Enders,et al.  The Performance of the Full Information Maximum Likelihood Estimator in Multiple Regression Models with Missing Data , 2001 .

[71]  H. Koot,et al.  Early preschool predictors of preadolescent internalizing and externalizing DSM-IV diagnoses. , 2001, Journal of the American Academy of Child and Adolescent Psychiatry.

[72]  C. Ross,et al.  Neighborhood disadvantage, disorder, and health. , 2001, Journal of health and social behavior.

[73]  J. Anthony,et al.  Aggressive behavior and opportunities to purchase drugs. , 2001, Drug and alcohol dependence.

[74]  P. O'Malley,et al.  Lowered legal blood alcohol limits for young drivers: effects on drinking, driving, and driving-after-drinking behaviors in 30 states. , 2001, American journal of public health.

[75]  L. Steinberg,et al.  Adolescent Development , 2001, Journal of Cognitive Education and Psychology.

[76]  E. Goodman The role of socioeconomic status gradients in explaining differences in US adolescents' health. , 1999, American journal of public health.

[77]  J. Pritchard,et al.  Use of unlinked genetic markers to detect population stratification in association studies. , 1999, American journal of human genetics.

[78]  J. Riskind,et al.  Vulnerability to Psychopathology: A Biosocial Model , 1999, Journal of Cognitive Psychotherapy.

[79]  E. Stice,et al.  A longitudinal grouping analysis of adolescent substance use escalation and de-escalation. , 1998 .

[80]  Jennifer R. Harris,et al.  Genetic and Environmental Contributions to the Correlation Between Alcohol Consumption and Symptoms of Anxiety and Depression. Results from a Bivariate Analysis of Norwegian Twin Data , 1997, Behavior genetics.

[81]  G. Brody,et al.  Predicting alcohol and drug use in early adulthood: the role of internalizing and externalizing behavior problems in early adolescence. , 1995, The American journal of orthopsychiatry.

[82]  J L Collins,et al.  Youth risk behavior surveillance--United States, 1993. , 1995, The Journal of school health.

[83]  S. Ceci,et al.  Nature-nurture reconceptualized in developmental perspective: a bioecological model. , 1994, Psychological review.

[84]  K. Sher,et al.  Anxiety and drinking behavior: moderating effects of tension-reduction alcohol outcome expectancies. , 1994, Alcoholism, clinical and experimental research.

[85]  M C Neale,et al.  Alcoholism and major depression in women. A twin study of the causes of comorbidity. , 1993, Archives of general psychiatry.

[86]  T. Achenbach Manual for the child behavior checklist/4-18 and 1991 profile , 1991 .

[87]  J. Rhodes,et al.  A social stress model of substance abuse. , 1990, Journal of consulting and clinical psychology.

[88]  G. Patterson,et al.  Psychometric Properties of Fourteen Latent Constructs from the Oregon Youth Study , 1988 .

[89]  S. Sclove Application of model-selection criteria to some problems in multivariate analysis , 1987 .

[90]  H. Akaike Factor analysis and AIC , 1987 .

[91]  Jacob Cohen,et al.  Applied multiple regression/correlation analysis for the behavioral sciences , 1979 .

[92]  G. Schwarz Estimating the Dimension of a Model , 1978 .

[93]  C C Li,et al.  Population subdivision with respect to multiple alleles , 1969, Annals of human genetics.

[94]  M. McGue,et al.  Gene–Environment Interaction in the Behavioral Sciences: Findings, Challenges, and Prospects , 2017 .

[95]  J. A. Gómez-Fraguela,et al.  Impulsivity traits as correlates of antisocial behaviour in adolescents , 2017 .

[96]  T. Neilands,et al.  Neighborhood Context, Psychological Outlook, and Risk Behaviors Among Urban African American Youth , 2017, Cultural diversity & ethnic minority psychology.

[97]  Emily C. Cook,et al.  Do Specific Transitional Patterns of Antisocial Behavior during Adolescence Increase Risk for Problems in Young Adulthood? , 2015, Journal of abnormal child psychology.

[98]  R. Alati,et al.  The role of parental alcohol use, parental discipline and antisocial behaviour on adolescent drinking trajectories. , 2014, Drug and alcohol dependence.

[99]  Frank C. Curriero,et al.  Neighborhood Alcohol Outlets and the Association with Violent Crime in One Mid-Atlantic City: The Implications for Zoning Policy , 2013, Journal of Urban Health.

[100]  O. Delaneau,et al.  Supplementary Information for ‘ Improved whole chromosome phasing for disease and population genetic studies ’ , 2012 .

[101]  D. Baucom,et al.  An Internalizing Pathway to Alcohol Use and Disorder , 2011 .

[102]  A. Masten,et al.  A Developmental Perspective on Underage Alcohol Use , 2009, Alcohol research & health : the journal of the National Institute on Alcohol Abuse and Alcoholism.

[103]  R. Crum,et al.  Is depressed mood in childhood associated with an increased risk for initiation of alcohol use during early adolescence? , 2008, Addictive behaviors.

[104]  Claire Wang,et al.  The neurocognitive effects of alcohol on adolescents and college students. , 2005, Preventive medicine.

[105]  M. Orlando,et al.  Patterns and correlates of binge drinking trajectories from early adolescence to young adulthood. , 2003, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

[106]  G. Holmbeck Post-hoc probing of significant moderational and mediational effects in studies of pediatric populations. , 2002, Journal of pediatric psychology.

[107]  M. Zuckerman Diathesis-stress models. , 1999 .

[108]  R. McMahon,et al.  Parental Monitoring and the Prevention of Child and Adolescent Problem Behavior: A Conceptual and Empirical Formulation , 1998, Clinical child and family psychology review.

[109]  S. West,et al.  Multiple Regression: Testing and Interpreting Interactions. , 1994 .

[110]  L. Steinberg,et al.  CURRENT DIRECTIONS IN PSYCHOLOGICAL SCIENCE Risk Taking in Adolescence New Perspectives From Brain and Behavioral Science , 2022 .