A Gene-Environment Interaction Study of Polygenic Scores and Maltreatment on Childhood ADHD

Author(s):  
Quanfa He ◽  
James J. Li
PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259210
Author(s):  
Eric A. W. Slob ◽  
Cornelius A. Rietveld

Background Tobacco consumption is one of the leading causes of preventable death. In this study, we analyze whether someone’s genetic predisposition to smoking moderates the response to tobacco excise taxes. Methods We interact polygenic scores for smoking behavior with state-level tobacco excise taxes in longitudinal data (1992-2016) from the US Health and Retirement Study (N = 12,058). Results Someone’s genetic propensity to smoking moderates the effect of tobacco excise taxes on smoking behavior along the extensive margin (smoking vs. not smoking) and the intensive margin (the amount of tobacco consumed). In our analysis sample, we do not find a significant gene-environment interaction effect on smoking cessation. Conclusions When tobacco excise taxes are relatively high, those with a high genetic predisposition to smoking are less likely (i) to smoke, and (ii) to smoke heavily. While tobacco excise taxes have been effective in reducing smoking, the gene-environment interaction effects we observe in our sample suggest that policy makers could benefit from taking into account the moderating role of genes in the design of future tobacco control policies.


2020 ◽  
Author(s):  
Benjamin Domingue ◽  
Sam Trejo ◽  
Emma Armstrong-Carter ◽  
Elliot M. Tucker-Drob

Interest in the study of gene-environment interaction has recently grown due to the sudden availability of molecular genetic data—in particular, polygenic scores—in many long-running cohort studies. Identifying and estimating statistical interactions comes with several analytic and inferential challenges; these challenges are heightened when used to integrate observational genomic and social science data. We articulate some of these key challenges, provide new perspectives on the study of gene-environment interactions, and finally offer some practical guidance for conducting research in this area. Given the sudden availability of well-powered polygenic scores, we anticipate a substantial increase in research testing for interaction between such scores and environments. The issues we discuss, if not properly addressed, may impact the enduring scientific value of gene-environment interaction studies.


2020 ◽  
pp. 1-12
Author(s):  
Xiaoya Zhang ◽  
Jay Belsky

Abstract Some Gene × Environment interaction (G×E) research has focused upon single candidate genes, whereas other related work has targeted multiple genes (e.g., polygenic scores). Each approach has informed efforts to identify individuals who are either especially vulnerable to the negative effects of contextual adversity (diathesis stress) or especially susceptible to both positive and negative contextual conditions (differential susceptibility). A critical step in all such molecular G×E research is the selection of genetic variants thought to moderate environmental influences, a subject that has not received a great deal of attention in critiques of G×E research (beyond the observation of small effects of individual genes). Here we conceptually distinguish three phases of G×E work based on the selection of genes presumed to moderate environmental effects and the theoretical basis of such decisions: (a) single candidate genes, (b) composited (multiple) candidate genes, and (c) GWAS-derived polygenic scores. This illustrative, not exhaustive, review makes it clear that implicit or explicit theoretical assumptions inform gene selection in ways that have not been clearly articulated or fully appreciated.


Sign in / Sign up

Export Citation Format

Share Document