In this chapter, graphical models are introduced and used as a natural way to formulate and address problems in genetics and related areas. Local computational algorithms on graphical models are presented and their relationship with the traditional peeling algorithms discussed. The potential of graphical model representations is explored and illustrated using examples in linkage and association analysis, pedigree uncertainty, forensic identification, and causal inference from observational data.