40. Epigenetics

  1. D. J. Balding3,
  2. M. Bishop4 and
  3. C. Cannings5
  1. K. D. Siegmund1 and
  2. S. Lin2

Published Online: 9 MAY 2008

DOI: 10.1002/9780470061619.ch40

Handbook of Statistical Genetics, Third Edition

Handbook of Statistical Genetics, Third Edition

How to Cite

Siegmund, K. D. and Lin, S. (2007) Epigenetics, 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.ch40

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 Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA

  2. 2

    Department of Statistics, Ohio State University, Columbus, OH, USA

Publication History

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

ISBN Information

Print ISBN: 9780470058305

Online ISBN: 9780470061619

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Keywords:

  • mammalian DNA methylation;
  • parent-of-origin effect;
  • epigenetic code;
  • quantitative polymerase chain reaction;
  • methylation-independent control reaction;
  • expectation maximization algorithm;
  • invasive ductal carcinoma;
  • microarray gene expression data

Summary

This chapter contains sections titled:

  • A Brief Introduction

  • Technologies for CGI Methylation Interrogation

  • Modeling Human Cell Populations

  • Mixture Modeling

  • Recapitulation of Tumor Progression Pathways

  • Future Challenges

  • Acknowledgments

  • References