Honoring the Contributions and Legacy of Thomas Dishion

Genetic moderation of the effects of family‐focused interventions (GxI interaction): A systematic review

“…A total of 1863 articles were found after removing duplicates in the Mendeley software. Two special issues in Development and Psychopathology (Belsky, & van IJzendoorn, 2015; Shaw & Cicchetti, 2019) yielded four additional studies, resulting in a total of 1867 articles for the screening. The following inclusion criteria were applied to purposely limit the scope of the review to high‐quality science pertinent to the purpose of this review: (a) peer‐reviewed journal articles in English; (b) a focus on behavioral/psychosocial interventions that were family‐based or individual/school‐based with family components and were designed to improve parenting, children's and parents' psychosocial well‐being, and reduce behavioral problems; and (c) genetic moderation effects were examined and reported.…”

“…This "for better, for worse" pattern supports the differential susceptibility theory. Shaw et al (2019) created a polygenic sensitivity score using 1200 SNPs to examine whether intervention effects on children's conduct problems (CP) and antisocial behavior (AB) trajectories through ages 2-14 were moderated by genetic sensitivity. For children with higher polygenic sensitivity scores, those assigned to the intervention group were more likely to be persistently low in their CP and AB trajectories, whereas those assigned to the control group were more likely to be persistently high in their CP and AB trajectories.…”

“…Two studies from Family Check-up (Lemery-Chalfant et al, 2018;Shaw et al, 2019) investigated GxI interaction effects using polygenic sensitivity scores. Outcomes included internalizing symptoms and conduct problems and antisocial behavior.…”

“…Systematic differences might exist in genotypes due to population stratification, yet 15 reviewed studies did not consider this issue in their analyses. Among the other 14 studies, principal coordinate analysis was the most frequently used approach to identify geographic ancestry and control for population stratification Cleveland, Griffin, et al, 2018;Lemery-Chalfant et al, 2018;Russell et al, 2018;Schlomer et al, , 2017Schlomer et al, , 2019Shaw et al, 2019;Vandenbergh et al, 2016). Two studies from the Fast Track program conducted separate analyses for the European-American and the African-American subsamples (Albert, Belsky, Crowley, Bates, et al, 2015;Zheng et al, 2018); Chhangur et al (2017) included ethnicity as a covariate, and Beach, Lei, Brody, & Philibert (2017) included ancestry information as a control variable for the population stratification.…”