With current advances in genetics it is now possible to routinely screen the entire genome of multiple affected individuals in the search for disease predisposition genes. Such a large-scale undertaking requires some careful management of both samples and data in order to make best use of all available information. Here we have detailed the two main approaches to a genome-wide search and the best ways we have found of storing, transforming, and analyzing the subsequently produced data, as well as some general considerations to enhance the chances of success.