Recognizing that multiple social, clinical, and genetic factors contribute to risk for SUDs is important as we move towards the goal precision medicine that benefits all segments of the population. There is still much work to be done before tools such as these are useful in a clinical setting. However, the results of this integrative data analysis provide initial evidence each of these risk factors contribute unique information to SUDs in early adulthood. Expanding our sources of information (such as electronic health records, census data from home of record) and making use of increasingly well-powered PGS will continue to improve our ability to understand how SUDs develop.
