Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Handbook of Statistical Genetics : Third Edition |
| Number of pages | 35 |
| Volume | 2 |
| Publisher | John Wiley & Sons, Ltd |
| Publication date | 9 May 2008 |
| Pages | 808-842 |
| ISBN (Print) | 9780470058305 |
| DOIs | |
| Publication status | Published - 9 May 2008 |
| Externally published | Yes |
Keywords
- Bayesian network structure
- Gene expression data
- Markov chain Monte Carlo
- Maternally inherited gene
- Mendelian randomisation
- Peeling and related algorithms
- Probabilistic expert systems
- Quantitative trait locus
- random propagate algorithm
- Zero-loop pedigree