TY - CHAP
T1 - Graphical Models in Genetics
AU - Lauritzen, S. L.
AU - Sheehan, N. A.
PY - 2008/5/9
Y1 - 2008/5/9
N2 - 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.
AB - 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.
KW - Bayesian network structure
KW - Gene expression data
KW - Markov chain Monte Carlo
KW - Maternally inherited gene
KW - Mendelian randomisation
KW - Peeling and related algorithms
KW - Probabilistic expert systems
KW - Quantitative trait locus
KW - random propagate algorithm
KW - Zero-loop pedigree
UR - http://www.scopus.com/inward/record.url?scp=84855702365&partnerID=8YFLogxK
U2 - 10.1002/9780470061619.ch24
DO - 10.1002/9780470061619.ch24
M3 - Book chapter
AN - SCOPUS:84855702365
SN - 9780470058305
VL - 2
SP - 808
EP - 842
BT - Handbook of Statistical Genetics
PB - John Wiley & Sons, Ltd
ER -