Graphical Models in Genetics

Book section

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. © 2007 John Wiley and Sons, Ltd.

Authors: Lauritzen, S; Sheehan, N

• Publisher: John Wiley and Sons, Ltd
• Host title: Handbook of Statistical Genetics: Third Edition
• Volume: 2
• Pages: 808-842
• Publication date: 2008-05-09
• DOI: 10.1002/9780470061619.ch24
• ISBN: 9780470058305
• Keywords: random propagate algorithm; Maternally inherited gene; Zero-loop pedigree; Bayesian network structure; Markov chain Monte Carlo; Peeling and related algorithms; Gene expression data; Quantitative trait locus; Probabilistic expert systems; Mendelian randomisation