Literature DB >> 33686717

The intermediary role of adolescent temperamental and behavioral traits on the prospective associations between polygenic risk and cannabis use among young adults of European Ancestry.

Leslie A Brick1,2, Chelsie E Benca-Bachman1, Lauren Bertin1, Kathleen P Martin1, Victoria Risner1, Rohan H C Palmer1.   

Abstract

BACKGROUND AND AIMS: Cannabis use (CU) is an etiologically complex behavior with several social, temperamental, neurocognitive, and behavioral precursors. Biometrical and molecular studies suggest an interplay of environmental and pleiotropic influences. However, it remains unclear whether identified genetic effects related to behavioral and temperamental characteristics have developmentally direct or indirect mechanisms on CU behavior. The Transmissible Liability Index (TLI) is a measure of continuous liability based on developmental precursors of substance use disorders. This study aimed to examine if the TLI plays a role in understanding genetic risk for CU behaviors.
DESIGN: Genome-wide association studies (n > 10 000; European Ancestry [EA]) of CU, risk tolerance, neuroticism, anxiety, and depression were used to construct polygenic scores (PGSs). Analyses assessed whether PGSs indirectly impacted risk for repeated use via TLI.
SETTING: United States of America. PARTICIPANTS: From Add Health study, 4077 individuals of EA age 11 to 21 during baseline interview collection. MEASUREMENTS: Outcomes were initiation and repeated cannabis use (>5× in lifetime). The TLI was parameterized using a latent factor from 21 questions assessing for precursors of disordered use.
FINDINGS: The marker-based heritability of TLI, initiation, and repeated use were significant, but modest (14%, P = 0.033; 15%, P = 0.025; and 17%, P = 0.008, respectively). TLI and repeated use were genetically correlated (rg  = 0.76, P = 0.033). The PGS for CU was associated with increased risk for repeated use and PGS for risk tolerance and depression were associated with TLI. Mediation analyses indicated significant, but very weak, indirect effects of PGS for risk tolerance and depression on repeated CU via the TLI.
CONCLUSIONS: Adolescent behavioral and temperamental characteristics (i.e. the Transmissible Liability Index) appear to be early indicators of repeated cannabis use in adulthood. Although polygenic scores for cannabis use directly increased risk for repeated cannabis use, weak evidence was found for the role of polygenic scores of other internalizing/externalizing traits acting through adolescent derived Transmissible Liability Index on cannabis use behavior.
© 2021 Society for the Study of Addiction.

Entities:  

Keywords:  Adolescence; cannabis use; externalizing; heritability; polygenic risk; young adult

Mesh:

Year:  2021        PMID: 33686717      PMCID: PMC8426427          DOI: 10.1111/add.15476

Source DB:  PubMed          Journal:  Addiction        ISSN: 0965-2140            Impact factor:   7.256


  39 in total

1.  GCTA: a tool for genome-wide complex trait analysis.

Authors:  Jian Yang; S Hong Lee; Michael E Goddard; Peter M Visscher
Journal:  Am J Hum Genet       Date:  2010-12-17       Impact factor: 11.025

2.  Extensions to the modeling of initiation and progression: applications to substance use and abuse.

Authors:  Michael C Neale; Eric Harvey; Hermine H M Maes; Patrick F Sullivan; Kenneth S Kendler
Journal:  Behav Genet       Date:  2006-06-08       Impact factor: 2.805

3.  Predicting life-time and regular cannabis use during adolescence; the roles of temperament and peer substance use: the TRAILS study.

Authors:  Hanneke E Creemers; Jan K Dijkstra; Wilma A M Vollebergh; Johan Ormel; Frank C Verhulst; Anja C Huizink
Journal:  Addiction       Date:  2010-02-09       Impact factor: 6.526

4.  Could a continuous measure of individual transmissible risk be useful in clinical assessment of substance use disorder? Findings from the National Epidemiological Survey on Alcohol and Related Conditions.

Authors:  Ty A Ridenour; Levent Kirisci; Ralph E Tarter; Michael M Vanyukov
Journal:  Drug Alcohol Depend       Date:  2011-06-29       Impact factor: 4.492

5.  The genetic aetiology of cannabis use initiation: a meta-analysis of genome-wide association studies and a SNP-based heritability estimation.

Authors:  Karin J H Verweij; Anna A E Vinkhuyzen; Beben Benyamin; Michael T Lynskey; Lydia Quaye; Arpana Agrawal; Scott D Gordon; Grant W Montgomery; Pamela A F Madden; Andrew C Heath; Timothy D Spector; Nicholas G Martin; Sarah E Medland
Journal:  Addict Biol       Date:  2012-07-24       Impact factor: 4.280

6.  GWAS of lifetime cannabis use reveals new risk loci, genetic overlap with psychiatric traits, and a causal influence of schizophrenia.

Authors:  Joëlle A Pasman; Karin J H Verweij; Zachary Gerring; Sven Stringer; Sandra Sanchez-Roige; Jorien L Treur; Abdel Abdellaoui; Michel G Nivard; Bart M L Baselmans; Jue-Sheng Ong; Hill F Ip; Matthijs D van der Zee; Meike Bartels; Felix R Day; Pierre Fontanillas; Sarah L Elson; Harriet de Wit; Lea K Davis; James MacKillop; Jaime L Derringer; Susan J T Branje; Catharina A Hartman; Andrew C Heath; Pol A C van Lier; Pamela A F Madden; Reedik Mägi; Wim Meeus; Grant W Montgomery; A J Oldehinkel; Zdenka Pausova; Josep A Ramos-Quiroga; Tomas Paus; Marta Ribases; Jaakko Kaprio; Marco P M Boks; Jordana T Bell; Tim D Spector; Joel Gelernter; Dorret I Boomsma; Nicholas G Martin; Stuart MacGregor; John R B Perry; Abraham A Palmer; Danielle Posthuma; Marcus R Munafò; Nathan A Gillespie; Eske M Derks; Jacqueline M Vink
Journal:  Nat Neurosci       Date:  2018-08-27       Impact factor: 24.884

7.  The association between conduct problems and the initiation and progression of marijuana use during adolescence: a genetic analysis across time.

Authors:  Katherine Shelton; Kate Lifford; Tom Fowler; Frances Rice; Mike Neale; Gordon Harold; Anita Thapar; Marianne van den Bree
Journal:  Behav Genet       Date:  2007-03       Impact factor: 2.805

Review 8.  10 Years of GWAS Discovery: Biology, Function, and Translation.

Authors:  Peter M Visscher; Naomi R Wray; Qian Zhang; Pamela Sklar; Mark I McCarthy; Matthew A Brown; Jian Yang
Journal:  Am J Hum Genet       Date:  2017-07-06       Impact factor: 11.025

9.  Exploring the relationship between polygenic risk for cannabis use, peer cannabis use and the longitudinal course of cannabis involvement.

Authors:  Emma C Johnson; Rebecca Tillman; Fazil Aliev; Jacquelyn L Meyers; Jessica E Salvatore; Andrey P Anokhin; Danielle M Dick; Howard J Edenberg; John R Kramer; Samuel Kuperman; Vivia V McCutcheon; John I Nurnberger; Bernice Porjesz; Marc A Schuckit; Jay Tischfield; Kathleen K Bucholz; Arpana Agrawal
Journal:  Addiction       Date:  2019-01-01       Impact factor: 7.256

10.  Genetic variance estimation with imputed variants finds negligible missing heritability for human height and body mass index.

Authors:  Jian Yang; Andrew Bakshi; Zhihong Zhu; Gibran Hemani; Anna A E Vinkhuyzen; Sang Hong Lee; Matthew R Robinson; John R B Perry; Ilja M Nolte; Jana V van Vliet-Ostaptchouk; Harold Snieder; Tonu Esko; Lili Milani; Reedik Mägi; Andres Metspalu; Anders Hamsten; Patrik K E Magnusson; Nancy L Pedersen; Erik Ingelsson; Nicole Soranzo; Matthew C Keller; Naomi R Wray; Michael E Goddard; Peter M Visscher
Journal:  Nat Genet       Date:  2015-08-31       Impact factor: 38.330

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