24. Graphical Models in Genetics

  1. D. J. Balding3,
  2. M. Bishop4 and
  3. C. Cannings5
  1. S. L. Lauritzen1 and
  2. N. A. Sheehan2

Published Online: 9 MAY 2008

DOI: 10.1002/9780470061619.ch24

Handbook of Statistical Genetics, Third Edition

Handbook of Statistical Genetics, Third Edition

How to Cite

Lauritzen, S. L. and Sheehan, N. A. (2007) Graphical Models in Genetics, in Handbook of Statistical Genetics, Third Edition (eds D. J. Balding, M. Bishop and C. Cannings), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470061619.ch24

Editor Information

  1. 3

    Imperial College of Science, Technology and Medicine, London, UK

  2. 4

    CNR-ITB, Milan, Italy

  3. 5

    Division of Genomic Medicine, University of Sheffield, Sheffield, UK

Author Information

  1. 1

    Department of Statistics, University of Oxford, Oxford, UK

  2. 2

    Department of Health Sciences and Genetics, University of Leicester, Leicester, UK

Publication History

  1. Published Online: 9 MAY 2008
  2. Published Print: 24 AUG 2007

ISBN Information

Print ISBN: 9780470058305

Online ISBN: 9780470061619



  • quantitative trait locus;
  • gene expression data;
  • maternally inherited gene;
  • peeling and related algorithms;
  • Bayesian network structure;
  • Markov chain Monte Carlo;
  • random propagate algorithm;
  • zero-loop pedigree;
  • probabilistic expert systems;
  • Mendelian randomisation


This chapter contains sections titled:

  • Introduction

  • Bayesian Networks and Other Graphical Models

  • Representation of Pedigree Information

  • Peeling and Related Algorithms

  • Pedigree Analysis and Beyond

  • Causal Inference

  • Other Applications

  • References