Key points are not available for this paper at this time.
The convergence of scientific capability and technology that generates vast health data at diminishing cost has generated opportunities, challenges, and anticipation surrounding future data-centric healthcare models. Individualized health data spanning biomolecular, physiological, and environmental dimensions comprise a “personal omics profile”. Here we discuss methods and opportunities to bridge genome and dynamic physiology, detect disease at an early stage, and uncover lifestyle and environmental patterns associated with disease. Significant challenges exist to aggregate, integrate, and protect personal omics data to advance our understanding of disease, enable data-driven clinical decisions, and motivate individuals to sustain behavioral change.
Kellogg et al. (Thu,) studied this question.