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. 2020 Apr;42(2):113-115.
doi: 10.1590/1516-4446-2019-0724. Epub 2020 Jan 24.

"Black box" pharmacogenetic decision-support tools in psychiatry

Chad A Bousman  1 , Harris A Eyre  2
Affiliations

"Black box" pharmacogenetic decision-support tools in psychiatry

Chad A Bousman et al. Braz J Psychiatry. 2020 Apr.
No abstract available

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Conflict of interest statement

CAB has received material support from Assurex Health (Myriad Neuroscience), CNSDose, Genomind, and AB-Biotics for research purposes and has ongoing research collaborations with MyDNA, but does not have equity, stocks, or options in these companies or any other pharmacogenetic companies. HAE owns shares in CNSDose Pty Ltd.

Figures

Figure 1
Figure 1. Overview of the black box approach to pharmacogenetic-guided decision support tools. Pharmacogenetic decision-support tools take discrete pharmacogenetic inputs (i.e., genotype data), apply a decision algorithm (i.e., set of rules), and produce clinically actionable outputs (e.g., medication selection and dosing recommendations). Although all components of the black box might be known (but not always), the set of rules by which these components are combined to generate actionable outputs is concealed from the end user (e.g., clinicians, patients). Note: the figure does not depict a comprehensive view of resources that could be utilized in black box approaches, nor does it suggest that all black box tools used in pharmacogenetics include all of these resources as part of their decision algorithms.
See this image and copyright information in PMC

References

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