The ongoing Dark Energy Survey and other upcoming large-scale structure surveys aim to determine the composition of the Universe and the nature of dark energy by mapping the spatial distribution and shapes of hundreds of millions of galaxies. These data sets will enable precision measurements of various observables of large-scale structure, such as weak lensing, galaxy clustering, and the abundance of galaxy clusters. These observables probe different aspects of cosmic structure formation, and combining them improves constraints on cosmology significantly. In this talk I will introduce the analysis concepts for the joint analysis of probes of large-scale structure currently under development for the Dark Energy Survey. In particular, I will discuss systematic uncertainties and cross-correlations of observables in detail, present first results from the Dark Energy Survey and outline extensions of these methods to future data sets.