- Title
- Educational attainment polygenic scores : examining evidence for gene-environment interplay with adolescent alcohol, tobacco and cannabis use
- Creator
- Davis, Christal; Gizer, Ian; Colodro-Conde, Lucia; Statham, Dixie; Martin, Nicholas; Slutske, Wendy
- Date
- 2022
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/192462
- Identifier
- vital:17990
- Identifier
-
https://doi.org/10.1017/thg.2022.33
- Identifier
- ISSN:1832-4274 (ISSN)
- Abstract
- Genes associated with educational attainment may be related to or interact with adolescent alcohol, tobacco and cannabis use. Potential gene-environment interplay between educational attainment polygenic scores (EA-PGS) and adolescent alcohol, tobacco, and cannabis use was evaluated with a series of regression models fitted to data from a sample of 1871 adult Australian twins. All models controlled for age, age2, cohort, sex and genetic ancestry as fixed effects, and a genetic relatedness matrix was included as a random effect. Although there was no evidence that adolescent alcohol, tobacco or cannabis use interacted with EA-PGS to influence educational attainment, there was a significant, positive gene-environment correlation with adolescent alcohol use at all PGS thresholds (ps <.02). Higher EA-PGS were associated with an increased likelihood of using alcohol as an adolescent (
- Publisher
- Cambridge University Press
- Relation
- Twin Research and Human Genetics Vol. 25, no. 4-5 (2022), p. 187-195
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © The Author(s), 2022
- Subject
- 3202 Clinical sciences; 3215 Reproductive medicine; Alcohol; Cannabis; Educational Attainment; Polygenic Scores; Tobacco
- Reviewed
- Funder
- This work was supported by National Institutes of Health Grants AA07535, AA07728, AA13320, AA13321, AA14041, AA11998, AA17688, DA12854 and DA019951; by Grants from the Australian National Health and Medical Research Council (241,944, 339,462, 389,927, 389,875, 389,891, 389,892, 389,938, 442,915, 442,981, 496,739, 552,485 and 552,498); by Grants from the Australian Research Council (A7960034, A79906588, A79801419, DP0770096, DP0212016 and DP0343921); and by the 5th Framework Programme (FP-5) GenomEUtwin Project (QLG2-CT-2002-01254).
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