Figure 2 Precision medicine — describing individuals

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On Equity and Evidence in Precision Medicine Leila Jamal, ScM, CGC Research Assistant, Baylor College of Medicine PhD Candidate, Johns Hopkins University.
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Figure 2 Precision medicine — describing individuals Figure 2 | Precision medicine — describing individuals. a | The six dimensions by which individuals might be described in the precision medicine era are the 'omic' data (such as the genomic and metabolomic phenotypes), data from health system registries (for example, electronic medical records, claims, and pharmacy registries), study-participant-generated data, the individual's motivations and behaviour, their microbiome, and their exposome and social determinants. These six factors interact with each other, producing a dynamic state. b | The precision participant descriptor integrates (and displays) the data from the six dimensions and is the phenotype of the individual. A dynamic cloud surrounds the phenotypic display to illustrate the changing nature of the phenotype as inputs (left side) vary over time. c | The electronic health-care system of the future will need to curate the data and display it in a user-friendly fashion to health-care providers at the point of care. Antman, E. M. & Loscalzo, J. (2016) Precision medicine in cardiology Nat. Rev. Cardiol. doi:10.1038/nrcardio.2016.101