A research note on Mendelian randomization and causal inference in criminology: promises and considerations

Objectives Here, we provide a brief overview of a technique that may hold promise for scholars working on key criminological and criminal justice topics. Methods We provide an abbreviated overview of Mendelian randomization (MR), a newer variant of instrumental variables analysis, facilitated by expanding genomic technology worldwide. Our goal is to offer readers, unacquainted with the topic, a quick checklist of key assumptions, considerations, shortcomings, and practical applications of the technique. Results The causal inference capabilities of the design seem poised to continue pushing modern crime science forward, assuming that careful attention is payed to key assumptions of the technique. Conclusions Researchers interested in causality as it relates to antisocial behaviors may benefit by the addition of MR to the toolkit alongside other data analysis tools. This strategy also offers an avenue for cross-collaboration with scientists working in other fields, thus expanding the breadth of expertise contributing to an important societal subject in crime.