Some topics are highlighted below. The pedigree structure leads to Markov relations which can be represented by a graph. Efficient likelihood computation requires manipulations of these Markov graphs. Monte Carlo methods such as MCMC or sequential imputations are needed. Complex human diseases.
Data are on affected sib-pairs or, more generally, affected relative pairs.
Important issues include how to test for linkage, rate of convergence of the location estimate and the construction of confidence intervals. Also discussed will be the lack of resolution of such data and the possible ways to increase efficiency. Data here are collected from various breeding experiments, e.g. the backcross design. Analysis of Human Genetic Linkage , Johns Hopkins University Press.