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AbstractDiscordant monozygotic (MZ) twin methodologies are considered one of the foremost statistical approaches for estimating the influence of environmental factors on phenotypic variance. Limitations associated with the discordant MZ twin approach generates an inability to estimate particular relationships and adjust estimates for the confounding influence of gene-nonshared environment interactions. Recent advancements in molecular genetics, however, can provide the opportunity to address these limitations. The current study reviews an alternative technique, genetically adjusted propensity scores (GAPS) matching, that integrates observed genetic and environmental information to adjust for the confounding of these factors in nonkin individuals. Simulations and a real data example were used to compare the GAPS matching approach to the discordant MZ twin method. Although the results of the simulated comparisons demonstrated that the discordant MZ twin approach remains the more robust statistical technique to adjust for shared environmental and genetic factors, GAPS matching — under certain conditions — could represent a viable alternative when MZ twin samples are unavailable. Overall, the findings suggest that GAPS matching can potentially provide an alternative to the discordant MZ twin approach when limited variation exists between identical twin pairs. Moreover, the ability to adjust for gene-nonshared environment interactions represents a potential advancement associated with the GAPS approach. The limitations of the approach, as well as polygenic risk scores, are also discussed.

A growing literature has linked religiousness and spirituality (R/S) to substance use and abuse. However, it is not clear that R/S has causal effects on substance use. Currently, there is a relative lack of genetically sensitive examinations in the literature attendant to R/S effects. Given that behavioral genetic analyses have illustrated the influence of genetic factors on substance use and adherence to R/S worldviews, genetic confounding is a concern. The current study employed a sample of monozygotic twins discordant on religiousness, spirituality, and spiritual transformation to assess effects on substance use and abuse. Bivariate and multivariate models indicated a general lack of effect of R/S on substance use and abuse but did illustrate a dampening influence of religiousness on general (but not problematic) alcohol use. The findings highlight the importance of controlling for genetic and shared familial factors in examinations of the religiousness–spirituality–substance use nexus.

Recent police-involved deaths of Black civilians have sparked public outcry and demand for police reforms. However, many departmental policies intended to reduce the lethal use-of-force by police officers lack empirical support for their effectiveness. To address this shortcoming, a Bayesian random intercept model is used to forecast the effects of eight departmental policies on the number of police-involved civilian deaths across 66 police departments. Results suggest that although several policies are associated with a reduction in officer-involved deaths of civilians in some police departments, they are unlikely to eliminate officer-involved deaths completely. Specifically, we observed that introducing additional departmental policies would only reduce the number of officer-involved deaths by approximately 5 to 10. Moreover, variation in the baseline number of officer-involved deaths and the effectiveness of these policies existed between the 66 police departments. The results suggest that de-escalation training, ban on chokeholds, comprehensive reporting, restrictions on foot pursuit, restrictions on vehicle pursuit, community surveys, and problem-oriented policies could reduce the number of officer-involved civilian deaths. Nevertheless, variation in the number of police-involved deaths of civilians and differential effects of policies across agencies suggests a more tailored solution, and additional research is needed to address this crisis.