In this paper, we consider filtration-consistent nonlinear expectations which satisfy a general domination condition. We show that filtration-consistent nonlinear expectations can be represented by g-expectations defined by the solutions of backward stochastic differential equations, whose generators are independent of y and uniformly continuous in z. As an application, we establish a concentration inequality for time-consistent risk measures.