We move beyond population-based data to show that dynamic hs-cTnI trajectories offer critical prognostic information specific to the pathophysiology of heart disease in renal failure, thereby extending the paradigm of troponin monitoring into a high-risk population where its utility is both promising and poorly defined. The gene discussed is TNNI3; the disease is kidney failure.