The gene–environmental architecture of the development of adolescent substance use

Vitaro, Frank; Dickson, Daniel J.; Brendgen, Mara; Laursen, Brett; Dionne, Ginette; Boivin, Michel

doi:10.1017/s0033291718000089

Cited by 6 publications

(6 citation statements)

References 40 publications

(57 reference statements)

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“…Particularly, recent studies have utilized autoregressive latent growth curve models to investigate genetic and environmental contributions to the rates of growth of adolescent alcohol use [43,44]. However, previous longitudinal studies have shown that adolescents follow distinct developmental patterns of alcohol use that vary in their times of onset, levels, and rates of growth [16][17][18][19][20][21][22][23].…”

Section: Discussionmentioning

confidence: 99%

“…They have also investigated the dynamic patterns of genetic and environmental contributions to phenotypic continuity and change, revealing high genetic stability but low non-shared environmental stability [38,40,41], although some studies have also demonstrated genetic innovation [42]. Particularly, recent studies examining the rates of growth of adolescent alcohol use found that genetic influences are consistent with a gradual growth of risks, whereas non-shared environmental influences are more consistent with an accumulation of risks over time [43,44]. Together, these findings suggest that a stable set of genetic factors largely contribute to the stability of alcohol use, with new genetic factors emerging over time, while non-shared environmental factors are largely time-specific and mostly contribute to the change of alcohol use [24].…”

Section: Introductionmentioning

confidence: 99%

“…The aforementioned longitudinal twin studies primarily focused on age-to-age change of genetic and environmental influences and/or genetic and environmental stability. The two studies that have examined the rates of growth both assumed that adolescents follow similar curves [43,44]. Given that person-centered longitudinal studies have shown that adolescents follow distinct developmental patterns of alcohol use [16][17][18][19][20][21][22][23], it is unclear to what extent genetic and environmental factors can differentially explain different developmental trajectories.…”

Section: Introductionmentioning

confidence: 99%

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Genetic and environmental influences on developmental trajectories of adolescent alcohol use

Zheng

Brendgen

Dionne

et al. 2019

Eur Child Adolesc Psychiatry

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Adolescent alcohol use demonstrates distinct developmental trajectories with different times of onset, levels, and rates of growth. Twin research on adolescent alcohol use has shown that genetic influences are consistent with a gradual growth of risks, whereas non-shared environmental influences are more consistent with an accumulation of risks over time. The current study investigated the relative contributions of genetic and environmental influences on shaping different developmental trajectories of alcohol use through adolescence. Self-reported past year alcohol use was collected from 877 Canadian twins (47.1% males) at age 13, 14, 15, and 17-year-old.Growth mixture models were fit to examine different developmental trajectories of alcohol use, and biometric liability threshold models were fit to investigate genetic and environmental influences on the liability of belonging to identified trajectories. Three trajectories were identified: low (15.1%), early onset (8.2%), and normative increasing (76.7%). Memberships in the low and early onset group were under genetic (27.6% and 34.7%), shared (42.4% and 21.5%), and non-shared environment influences (30.0% and 43.8%). Membership in the normative increasing group was under genetic (37.7%) and non-shared environment influences (62.3%).Non-shared environmental influences were significantly larger for the normative increasing trajectory than for the low trajectory. These findings provide a more refined picture of genetic and environmental influences in the development of alcohol use in subgroups of adolescents. Genetic and environmental influences both matter, but to different degrees in different trajectories. Future research should identify specific shared and non-shared environmental experiences that distinguish different trajectories.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Genetic and environmental influences on developmental trajectories of adolescent alcohol use

Zheng

Brendgen

Dionne

et al. 2019

Eur Child Adolesc Psychiatry

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“…We have documented the genetic and environmental contributions to a variety of behavioral, educational, and health outcomes, as well as their associations, including different forms and functions of aggressive behaviors, such as reactive versus proactive versus social aggression (Brendgen et al, 2005(Brendgen et al, , 2006Paquin et al, 2017), early physical aggression and language (Dionne et al, 2003), early numeracy and later achievement in mathematics (Garon-Carrier et al, 2017), early sleep patterns and language development (Dionne et al, 2011;Touchette et al, 2013), attention-deficit/ hyperactivity and reading (Plourde et al, 2015(Plourde et al, , 2017, gambling and substance use (Vitaro et al, 2014(Vitaro et al, , 2018, callous-unemotional traits and fear recognition (Petitclerc et al, 2019), as well as more basic endophenotypes such as cortisol (Ouellet-Morin et al, 2016) and response inhibition (Schachar et al, 2011). We also showed that the stability of various social behaviors, such as disregard for rules (a central component of early opposition), physical aggression, callous-unemotional traits, and shyness, was more highly, and often quite substantially associated with genetic factors than their episodic manifestations (Henry, Dionne, Viding, Petitclerc et al, 2018;Lacourse et al, 2014;Morneau-Vaillancourt et al, 2019;Petitclerc et al, 2011).…”

Section: Scientific Contributionsmentioning

confidence: 99%

The Quebec Newborn Twin Study at 21

et al. 2019

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This paper is a revised and updated edition of a previous description of the Quebec Newborn Twin Study (QNTS), an ongoing prospective longitudinal follow-up of a birth cohort of twins born between 1995 and 1998 in the greater Montreal area, Québec, Canada. The goal of QNTS is to document individual differences in the cognitive, behavioral, and social-emotional aspects of developmental health across childhood, their early genetic and environmental determinants, as well as their putative role in later social-emotional adjustment, school, health, and occupational outcomes. A total of 662 families of twins were initially assessed when the twins were aged 6 months. These twins and their family were then followed regularly. QNTS now has 16 waves of data collected or planned, including 5 in preschool. Over the last 24 years, a broad range of physiological, cognitive, behavioral, school, and health phenotypes were documented longitudinally through multi-informant and multimethod measurements. QNTS also entails extended and detailed multilevel assessments of proximal (e.g., parenting behaviors, peer relationships) and distal (e.g., family income) features of the child’s environment. QNTS children and a subset of their parents have been genotyped, allowing for the computation of a variety of polygenic scores. This detailed longitudinal information makes QNTS uniquely suited for the study of the role of the early years and gene–environment transactions in development.

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“…There is ample evidence for both genetic and environmental influences on substance use during adolescence and early adulthood, and that these effects tend to overlap across substances such as alcohol and marijuana (Baker, Maes, Larsson, Lichtenstein, & Kendler, 2011; Kendler, Schmitt, Aggen, & Prescott, 2008; Vitaro et al, 2018). Nevertheless, the relative contribution of genetic and environmental influences on adolescent substance use appears to differ with age.…”

Section: Genetic and Environmental Influencesmentioning

confidence: 99%

Longitudinal interplay between gambling participation and substance use during late adolescence: A genetically-informed study.

Vitaro¹,

Dickson

Brendgen³

et al. 2019

Psychology of Addictive Behaviors

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Substance use and gambling participation during adolescence are correlated, both concurrently and over time. It is unclear, however, whether this association can be explained by common underlying genetic vulnerabilities or environmental factors. The present study explored the concurrent and longitudinal associations between substance use and gambling participation and their genetic and environmental underpinnings by late adolescence. Participants were 373 pairs of monozygotic and dizygotic twins. Self-reports of substance use and gambling participation were collected at Ages 17 and 19 years. Results showed concurrent associations between substance use and gambling participation as well as a small, but significant unidirectional longitudinal association over time from substance use to gambling participation. Common genetic factors largely accounted for the concurrent associations at Ages 17 and 19, as well as for the unidirectional longitudinal association between substance use and gambling participation. Substance use and gambling participation share a common genetic component that account for most of their concurrent and longitudinal links during late adolescence. However, these behaviors are also influenced by specific environmental factors.

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The gene–environmental architecture of the development of adolescent substance use

Abstract: The results support and expand the notion that genetic and environmental influences on substance use during adolescence are both developmentally stable and developmentally dynamic.

Cited by 6 publications

References 40 publications

Genetic and environmental influences on developmental trajectories of adolescent alcohol use

Genetic and environmental influences on developmental trajectories of adolescent alcohol use

The Quebec Newborn Twin Study at 21

Longitudinal interplay between gambling participation and substance use during late adolescence: A genetically-informed study.

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