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. Author manuscript; available in PMC: 2015 Mar 2.
Published in final edited form as: Nat Immunol. 2014 Feb;15(2):118–127. doi: 10.1038/ni.2787

Figure 3.

Figure 3

Constructing causal regulatory networks to understand the immunological basis of disease and advance precision medicine. (a) Cohorts of patients provide data that lead to tissue-specific and cell type–specific networks for health and various diseases. These regulatory networks allow for cross-condition comparisons to understand the molecular basis of immunological diseases. (b) Measurements collected from omics networks can be used to estimate the dynamic range for each molecular measurement and to develop the parameter landscape for various healthy and diseased conditions. (c) Data collected from individual patients can be projected onto molecular networks and parameter landscapes to construct a personal profile for informing medical decisions.