Literature DB >> 27991676

The Impact of Peer Substance Use and Polygenic Risk on Trajectories of Heavy Episodic Drinking Across Adolescence and Emerging Adulthood.

James J Li1, Seung Bin Cho2, Jessica E Salvatore2,3, Howard J Edenberg4, Arpana Agrawal5, David B Chorlian6, Bernice Porjesz6, Victor Hesselbrock7, Danielle M Dick2,3,8.   

Abstract

BACKGROUND: Heavy episodic drinking is developmentally normative among adolescents and young adults, but is linked to adverse consequences in later life, such as drug and alcohol dependence. Genetic and peer influences are robust predictors of heavy episodic drinking in youth, but little is known about the interplay between polygenic risk and peer influences as they impact developmental patterns of heavy episodic drinking.
METHODS: Data were from a multisite prospective study of alcohol use among adolescents and young adults with genome-wide association data (n = 412). Generalized linear mixed models were used to characterize the initial status and slopes of heavy episodic drinking between age 15 and 28. Polygenic risk scores (PRS) were derived from a separate genome-wide association study for alcohol dependence and examined for their interaction with substance use among the adolescents' closest friends in predicting the initial status and slopes of heavy episodic drinking.
RESULTS: Close friend substance use was a robust predictor of adolescent heavy episodic drinking, even after controlling for parental knowledge and peer substance use in the school. PRS were predictive of the initial status and early patterns of heavy episodic drinking in males, but not in females. No interaction was detected between PRS and close friend substance use for heavy episodic drinking trajectories in either males or females.
CONCLUSIONS: Although substance use among close friends and genetic influences play an important role in predicting heavy episodic drinking trajectories, particularly during the late adolescent to early adult years, we found no evidence of interaction between these influences after controlling for other social processes, such as parental knowledge and broader substance use among other peers outside of close friends. The use of longitudinal models and accounting for multiple social influences may be crucial for future studies focused on uncovering gene-environment interplay. Clinical implications are also discussed.
Copyright © 2016 by the Research Society on Alcoholism.

Entities:  

Keywords:  Development; Gene-Environment Interaction; Heavy Episodic Drinking; Peer Influences; Polygenic Risk Score

Mesh:

Year:  2016        PMID: 27991676      PMCID: PMC5205549          DOI: 10.1111/acer.13282

Source DB:  PubMed          Journal:  Alcohol Clin Exp Res        ISSN: 0145-6008            Impact factor:   3.455


  39 in total

1.  Adolescent heavy episodic drinking trajectories and health in young adulthood.

Authors:  Sabrina Oesterle; Karl G Hill; J David Hawkins; Jie Guo; Richard F Catalano; Robert D Abbott
Journal:  J Stud Alcohol       Date:  2004-03

2.  Genetic effects on alcohol dependence risk: re-evaluating the importance of psychiatric and other heritable risk factors.

Authors:  Valerie S Knopik; Andrew C Heath; Pamela A F Madden; Kathleen K Bucholz; Wendy S Slutske; Elliot C Nelson; Dixie Statham; John B Whitfield; Nicholas G Martin
Journal:  Psychol Med       Date:  2004-11       Impact factor: 7.723

3.  Sex differences in the sources of genetic liability to alcohol abuse and dependence in a population-based sample of U.S. twins.

Authors:  C A Prescott; S H Aggen; K S Kendler
Journal:  Alcohol Clin Exp Res       Date:  1999-07       Impact factor: 3.455

4.  DRD4 and susceptibility to peer influence on alcohol use from adolescence to adulthood.

Authors:  Sylvie Mrug; Michael Windle
Journal:  Drug Alcohol Depend       Date:  2014-10-23       Impact factor: 4.492

5.  Etiological contributions to heavy drinking from late adolescence to young adulthood.

Authors:  Serena M King; S Alexandra Burt; Stephen M Malone; Matt McGue; William G Iacono
Journal:  J Abnorm Psychol       Date:  2005-11

6.  The genetics of alcohol dependence: Twin and SNP-based heritability, and genome-wide association study based on AUDIT scores.

Authors:  Hamdi Mbarek; Yuri Milaneschi; Iryna O Fedko; Jouke-Jan Hottenga; Marleen H M de Moor; Rick Jansen; Joel Gelernter; Richard Sherva; Gonneke Willemsen; Dorret I Boomsma; Brenda W Penninx; Jacqueline M Vink
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2015-09-14       Impact factor: 3.568

7.  A genome-wide association study of alcohol-dependence symptom counts in extended pedigrees identifies C15orf53.

Authors:  J-C Wang; T Foroud; A L Hinrichs; N X H Le; S Bertelsen; J P Budde; O Harari; D L Koller; L Wetherill; A Agrawal; L Almasy; A I Brooks; K Bucholz; D Dick; V Hesselbrock; E O Johnson; S Kang; M Kapoor; J Kramer; S Kuperman; P A F Madden; N Manz; N G Martin; J N McClintick; G W Montgomery; J I Nurnberger; M Rangaswamy; J Rice; M Schuckit; J A Tischfield; J B Whitfield; X Xuei; B Porjesz; A C Heath; H J Edenberg; L J Bierut; A M Goate
Journal:  Mol Psychiatry       Date:  2012-10-23       Impact factor: 15.992

8.  Gender-specific gene-environment interaction in alcohol dependence: the impact of daily life events and GABRA2.

Authors:  Brea L Perry; Bernice A Pescosolido; Kathleen Bucholz; Howard Edenberg; John Kramer; Samuel Kuperman; Marc Alan Schuckit; John I Nurnberger
Journal:  Behav Genet       Date:  2013-08-23       Impact factor: 2.805

9.  ADH1B is associated with alcohol dependence and alcohol consumption in populations of European and African ancestry.

Authors:  L J Bierut; A M Goate; N Breslau; E O Johnson; S Bertelsen; L Fox; A Agrawal; K K Bucholz; R Grucza; V Hesselbrock; J Kramer; S Kuperman; J Nurnberger; B Porjesz; N L Saccone; M Schuckit; J Tischfield; J C Wang; T Foroud; J P Rice; H J Edenberg
Journal:  Mol Psychiatry       Date:  2011-10-04       Impact factor: 15.992

10.  Polygenic scores predict alcohol problems in an independent sample and show moderation by the environment.

Authors:  Jessica E Salvatore; Fazil Aliev; Alexis C Edwards; David M Evans; John Macleod; Matthew Hickman; Glyn Lewis; Kenneth S Kendler; Anu Loukola; Tellervo Korhonen; Antti Latvala; Richard J Rose; Jaakko Kaprio; Danielle M Dick
Journal:  Genes (Basel)       Date:  2014-04-10       Impact factor: 4.096

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1.  Commentary for Special Issue of Prevention Science "Using Genetics in Prevention: Science Fiction or Science Fact?"

Authors:  Danielle M Dick
Journal:  Prev Sci       Date:  2018-01

2.  Adult substance use as a function of growth in peer use across adolescence and young adulthood in the context of ADHD: Findings from the MTA.

Authors:  Traci M Kennedy; Andrea L Howard; John T Mitchell; Betsy Hoza; L Eugene Arnold; Lily T Hechtman; James M Swanson; Annamarie Stehli; Brooke S G Molina
Journal:  Addict Behav       Date:  2019-08-20       Impact factor: 3.913

Review 3.  Post-GWAS in Psychiatric Genetics: A Developmental Perspective on the "Other" Next Steps.

Authors:  Danielle M Dick; Peter B Barr; Seung Bin Cho; Megan E Cooke; Sally I-Chun Kuo; Tenesha J Lewis; Zoe Neale; Jessica E Salvatore; Jeanne Savage; Jinni Su
Journal:  Genes Brain Behav       Date:  2018-02-05       Impact factor: 3.449

4.  Effects of Polygenic Risk and Perceived Friends' Drinking and Disruptive Behavior on Development of Alcohol Use Across Adolescence.

Authors:  Michelle J Zaso; Stephen A Maisto; Stephen J Glatt; Jonathan L Hess; Aesoon Park
Journal:  J Stud Alcohol Drugs       Date:  2020-11       Impact factor: 2.582

5.  Alcohol and nicotine polygenic scores are associated with the development of alcohol and nicotine use problems from adolescence to young adulthood.

Authors:  Joseph D Deak; D Angus Clark; Mengzhen Liu; Jonathan D Schaefer; Seon Kyeong Jang; C Emily Durbin; William G Iacono; Matt McGue; Scott Vrieze; Brian M Hicks
Journal:  Addiction       Date:  2021-10-24       Impact factor: 6.526

6.  Using Genetic Marginal Effects to Study Gene-Environment Interactions with GWAS Data.

Authors:  Brad Verhulst; Joshua N Pritikin; James Clifford; Elizabeth Prom-Wormley
Journal:  Behav Genet       Date:  2021-04-26       Impact factor: 2.805

7.  Neighborhood disorder, peer network health, and substance use among young urban adolescents.

Authors:  Michael J Mason; John M Light; Jeremy Mennis; Julie C Rusby; Erika Westling; Stephanie Crewe; Nikola Zaharakis; Thomas Way; Brian R Flay
Journal:  Drug Alcohol Depend       Date:  2017-06-15       Impact factor: 4.852

8.  Systematic Review of Polygenic Gene-Environment Interaction in Tobacco, Alcohol, and Cannabis Use.

Authors:  Joëlle A Pasman; Karin J H Verweij; Jacqueline M Vink
Journal:  Behav Genet       Date:  2019-05-20       Impact factor: 2.805

9.  Pavlovian-To-Instrumental Transfer and Alcohol Consumption in Young Male Social Drinkers: Behavioral, Neural and Polygenic Correlates.

Authors:  Maria Garbusow; Stephan Nebe; Christian Sommer; Sören Kuitunen-Paul; Miriam Sebold; Daniel J Schad; Eva Friedel; Ilya M Veer; Hans-Ulrich Wittchen; Michael A Rapp; Stephan Ripke; Henrik Walter; Quentin J M Huys; Florian Schlagenhauf; Michael N Smolka; Andreas Heinz
Journal:  J Clin Med       Date:  2019-08-08       Impact factor: 4.241

10.  Polygenic risk prediction based on singular value decomposition with applications to alcohol use disorder.

Authors:  James J Yang; Xi Luo; Elisa M Trucco; Anne Buu
Journal:  BMC Bioinformatics       Date:  2022-01-10       Impact factor: 3.169

  10 in total

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