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. 2009 Mar;104(3):420-9.
doi: 10.1111/j.1360-0443.2008.02457.x.

Modeling the genetic and environmental association between peer group deviance and cannabis use in male twins

Nathan A Gillespie  1 , Michael C Neale, Kristen Jacobson, Kenneth S Kendler
Affiliations

Modeling the genetic and environmental association between peer group deviance and cannabis use in male twins

Nathan A Gillespie et al. Addiction. 2009 Mar.

Abstract

Background: Peer group deviance (PGD) is linked strongly to liability to drug use, including cannabis. Our aim was to model the genetic and environmental association, including direction of causation, between PGD and cannabis use (CU).

Method: Results were based on 1736 to 1765 adult males from the Mid-Atlantic Twin Registry with complete CU and PGD data measured retrospectively at three time-intervals between 15 and 25 years using a life-history calendar.

Results: At all ages, multivariate modeling showed that familial aggregation in PGD was explained by a combination of additive genetic and shared environmental effects. Moreover, the significant PGD-CU association was best explained by a CU-->PGD causal model in which large portions of the additive genetic (50-78%) and shared environmental variance (25-73%) in PGD were explained by CU.

Conclusions: Until recently PGD was assumed to be an environmental, upstream risk factor for CU. Our data are not consistent with this hypothesis. Rather, they suggest that the liability to affiliate with deviant peers is explained more clearly by a combination of genetic and environmental factors that are indexed by CU which sits as a 'risk indicator' in the causal pathway between genetic and environmental risks and the expression of PGD. This is consistent with a process of social selection by which the genetic and environmental risks in CU largely drive the propensity to affiliate with deviant peers.

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Figures

Figure 1
Figure 1
Cholesky decomposition to model the association between peer group deviance (PGD) and cannabis use (CU) by decomposing the source of covariance between PGD and CU into shared genetic (a2,1) and environmental (c2,1 & e2,1) effects. This approach also models the genetic (a2,2) and environmental (c2,2 & e2,2) effects which are unique to CU. Note: A, C & E = latent additive genetic, shared and non-shared environmental effects for PGD and CU
Figure 2
Figure 2
Modeling direction of causation between peer group deviance (PGD) and cannabis use (CU). This approach predicts the relationship between PGD and CU is explained by a reciprocal interaction at the phenotypic level. In the uni-directional PGD-to-CU and CU-to-PGD models, the β2 and β1 pathways are set to zero. Note: A, C & E = latent additive genetic, shared and non-shared environmental effects for PGD and CU
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