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Sensing the Change: From Molecular Genetics to Personalized Medicine
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Authors: Ivan Yu. Torshin (Moscow, Russia) 
Book Description:
How can the giant amount of data obtained in the Human Genome Project and related research endeavors be used for practical medicine? What are the current problems with phenotype-genotype association studies? How can association studies be applied to the needs of medicinal diagnosis in the framework of personalized medicine? These and many other questions are asked all the time by tens of thousands of researchers from biomedical communities from all over the globe. In this volume, the author attempts to further our understanding of biological function from molecular level upwards and to find some of the answers.

Table of Contents:
INTRODUCTION

Foreword

Disclaimer

PART I: Molecular genes, their structure and function

Chapter I. The levels of the structural organization of the human genome

PART II: Genotype-phenotype studies and evidence-based medicine

Chapter IV. In the wake of classical genetics: the research scenarios in human molecular genetics

Chapter V. Population genetics and implications for the association studies

Chapter VI. The genetic association studies

Chapter VII. Genetic polymorphisms and personalized medicine
Practical applications of medSNP™: the database, the OS and the expert system

Appendix I. The genes in the cytogenetic band 9q34 and their annotations
Appendix II. Triple alignment of the human 9q34, chimp 9q34 and mouse 2qA3 bands
Appendix III. Deciphered biophysical functions of individual residues of ABO
Appendix IV. Genetic linkage: a few examples from ABO
Appendix V. Gene research histories: the actual research scenarios of the genes

Index

   Series:
      Bioinformatics in the Post-Genomic Era, Ivan Yu. Torshin
   Binding: Hardcover
   Pub. Date: 2009, 1st quarter
   Pages: 366 pp.
   ISBN: 978-1-60692-217-0
   Status: AV
  
Status Code Description
AN Announcing
FM Formatting
PP Page Proofs
FP Final Production
EP Editorial Production
PR At Prepress
AP At Press
AV Available
  
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Sensing the Change: From Molecular Genetics to Personalized Medicine