Academic achievement as a moderator of genetic influences on alcohol use in adolescence.
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ABSTRACT:
SUBMITTER: Benner AD
PROVIDER: S-EPMC5553450 | biostudies-other | 2014 Apr
REPOSITORIES: biostudies-other
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Project description:Longitudinal analyses allow us to understand how genetic risk unfolds across development, in a way that is not possible with cross-sectional analyses of individuals at different ages. This has received little attention in genetic association analyses. In this study, we test for genetic effects of GABRA2, a gene previously associated with alcohol dependence, on trajectories of drunkenness from age 14 to 25. We use data from 1070 individuals who participated in the prospective sample of the Collaborative Study on the Genetics of Alcoholism, in order to better understand the unfolding of genetic risk across development. Piecewise linear growth models were fit to model the influence of genotype on rate of increase in drunkenness from early adolescence to young adulthood (14-18 years), the change in drunkenness during the transition to adulthood (18-19 years) and the rate of change in drunkenness across young adulthood (??19 years). Variation in GABRA2 was associated with an increase in drunkenness that occurred at the transition between adolescence and adulthood. The genotypic effect was more pronounced in females. These analyses illustrate the importance of longitudinal data to characterize how genetic effects unfold across development. The findings suggest that transitions across important developmental periods may alter the relative importance of genetic effects on patterns of alcohol use. The findings also suggest the importance of considering gender when evaluating genetic effects on drinking patterns in males and females.
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Project description:Academic performance significantly influences educational advancement, career opportunities, and life outcomes. The extent to which adolescent substance use and brain morphology predict academic achievement has not been extensively explored. We examined grade point average (GPA) at the time alcohol and cannabis use often starts (7th - 9th grade) and subsequently during 11th and 12th grade in a 170 physically healthy adolescents in a longitudinal study. Covariance analysis examined predictive features from 36 metrics of middle school academic performance and initiation of alcohol and cannabis use. Using a machine learning approach, GPA from 7th, 8th, and 9th grade strongly predicted 11th and 12th grade GPA, followed in predictive power by alcohol use age of onset. A machine learning approach determined 16 (from 336) baseline neuroimaging features that reflected lower thickness, area, or volume in average high school GPA drinkers compared to nondrinkers. Features that distinguished average performing drinkers from nondrinkers suggested accelerated gray matter loss during adolescence for drinkers, while high performing drinkers compared to nondrinkers may have attenuated gray matter maturation. Additional possibilities are discussed.
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Project description:BackgroundMedical conditions related to alcohol use disorders (AUD) represent a substantial public health concern. However, only a subset of individuals with AUD develop these conditions and the extent to which genetic and environmental factors that are shared with AUD, versus those distinct from it, contribute to this progression has not yet been determined.MethodsUsing data from Swedish national registries for a cohort born from 1932 to 1970 (N = 1,319,214, 48.9% women), we conducted twin-sibling biometric model fitting to examine the genetic and environmental sources of variance that contribute to the liability to alcohol-related medical conditions (AMC). Progression to AMC, determined using medical registry data, was contingent on an AUD registration, which was determined using medical and criminal registry data.ResultsWe identified AUD registrations in 3.2% of women and 9.2% of men. Among individuals with an AUD registration, 14.4% of women and 15.4% of men had an AMC registration. In the final models, we constrained the beta pathway from AUD to AMC and the genetic and unique environmental paths to be equal across sexes. The beta path was estimated at 0.59. AMC was modestly heritable in women (A = 0.32) and men (A = 0.30). The proportion of total heritability unique to AMC was 39.6% among women and 41.3% among men. A higher proportion of total environmental variance was unique to AMC: 76.7% for women and 77.2% for men. In a sensitivity analysis limited to liver-related AMC, we observed similar results, with a slightly lower beta path from AUD to AMC (0.46) and higher proportions of AMC-specific genetic (70.0% in women; 71.7% in men) and environmental (84.5% in both sexes) variance.ConclusionsA moderate-to-substantial proportion of genetic and environmental variance that contributes to AMC risk is not shared with AUD, underscoring the need for additional gene identification efforts for AMC. Furthermore, the prominent influence of environmental factors specific to AMC provides a promising area for the identification of prevention targets. We did not observe significant sex differences in the etiology of AMC, although follow-up is warranted in other well-powered studies.
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