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Abstract:
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Precision medicine focuses on the selection of the right treatment and dose, at the right time, for an individual patient. In the context of mental health, precision medicine includes developing more precise diagnostic categories to help guide treatment selection. Genetic studies completed over the past decade have demonstrated a very high level of polygenicity underlying most common psychiatric traits, and this polygenicity is believed to be driven partly by a high degree of underlying clinical and genetic heterogeneity. Statistical analyses should take into account this heterogeneity. Furthermore, it is evident that to achieve the goals of precision in mental health treatment, we will need to incorporate many different types of data including genetic and other biomarker data, as well as demographic, clinical and environmental exposure data. The complexity of causal pathways contributing to psychiatric traits also creates challenges with respect to optimal predictive modeling strategies. This roundtable discussion will focus on these statistical challenges in psychiatric precision medicine.
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