Computational Genetics and Genomics

Tools for Understanding Disease

  • Gary Peltz

Table of contents

  1. Front Matter
    Pages i-x
  2. Theory and Technical Concept

    1. Front Matter
      Pages 1-1
    2. Gary Peltz
      Pages 3-32
    3. Benjamin Yakir, Anne Pisanté, Ariel Darvasi
      Pages 33-50
    4. Jianmei Wang, Gary Peltz
      Pages 51-70
    5. Jianmei Wang, Guochun Liao, Janet Cheng, Anh Nguyen, Jingshu Guo, Christopher Chou et al.
      Pages 71-83
    6. Jun Wang, Dee Aud, Soren Germer, Russell Higuchi
      Pages 85-100
  3. Selected Examples: Murine Models of Human Disease

    1. Front Matter
      Pages 101-101
    2. Michael J. Holtzman, Edy Y. Kim, Jeffrey D. Morton
      Pages 103-145
    3. Robert F. Klein
      Pages 147-175
    4. Kim Cronise, John C. Crabbe
      Pages 177-197
    5. Chris Downing, Beth Bennett, Thomas E. Johnson
      Pages 199-252
  4. Selected Examples: The Genetic Basis for Human Disease

    1. Front Matter
      Pages 253-253
    2. Henry A. Erlich
      Pages 255-268
    3. William Cookson
      Pages 269-299
  5. Back Matter
    Pages 301-307

About this book


Despite ever-increasing investments in genetic research, the translation of genetic discoveries into new therapies has been a slow process. In Computational Genetics and Genomics: Tools for Understanding Disease, well-recognized computational geneticists review and assess both currently available and developing tools for the rapid identification of the genetic basis for susceptibility to disease. The authors introduce a new computational approach that makes it possible to identify the genetic basis for differences in physiological or pathological responses among inbred mouse strains, thus facilitating more rapid genetic discovery. The focus is on the haplotype-based computational genetic analysis method and its application to inbred mouse strains. Reviewing murine models of asthma, lung disease, osteoporosis, and substance abuse, the contributors provide an overview of available mouse models, what has been learned from them, and which new models must be developed to advance our understanding of these diseases. They also describe how genetic analysis of human populations has yielded information on the genetic basis for susceptibility to asthma and other inflammatory diseases.
Authoritative and path-breaking, Computational Genetics and Genomics: Tools for Understanding Disease surveys and assesses both currently available and powerful new computational genetic mapping methods that can be used to quickly analyze genetic models of biomedically important traits. This information provides a basis for uncovering the genetic factors regulating human disease-related traits.


Haplotype Radiologieinformationssystem SNP biology computational biology genes genetics genome population

Editors and affiliations

  • Gary Peltz
    • 1
  1. 1.Department of Genetics and GenomicsRoche Palo AltoPalo Alto

Bibliographic information