eBook Between the Lines of Genetic Code, 1st Edition

  • Published By:
  • ISBN-10: 0123973023
  • ISBN-13: 9780123973023
  • DDC: 572.8
  • Grade Level Range: College Freshman - College Senior
  • 232 Pages | eBook
  • Original Copyright 2013 | Published/Released June 2014
  • This publication's content originally published in print form: 2013
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About

Overview

Between the Lines of Genetic Code lays out methodologies and tools for the measurement and evaluation of gene-gene and gene-environment studies and gives perspective on the future of this discipline. The book begins by defining terms for interaction studies, describing methodologies, and critically assessing the viability of current study designs and the possibilities for integrating designs. It then provides recent applications data with case studies in rheumatoid arthritis, multiple sclerosis, myositis and other complex human diseases. Last, it examines current studies and directions for future applications in patient care. Recent multivariate studies show that gene-gene and gene-environment interactions can explain significant variances in inheritance that have previously been undetectable in univariate analysis. These links among genes and between genes and their environments during the development of diseases may serve as important hints for understanding pathogenic mechanisms and for developing new tools for prognosis, diagnosis, and treatment of various diseases.

Table of Contents

Front Cover.
Halftitle Page.
Title Page.
Copyright Page.
Contents.
Acknowledgments.
List of Contributors.
Introduction.
1: Methodology.
2: Terminology and Definitions for Interaction Studies.
3: Reducing Dimensionality in the Search for Gene–gene Interactions.
4: Study Design for Interaction Analyses.
5: High-throughput Genetic Interaction Study.
6: Conclusions.
7: Experimental Data.
8: Gene–gene and Gene–environment Interaction in Rheumatoid Arthritis.
9: Genetic and Environmental Risk Factors for Multiple Sclerosis—a Role for Interaction Analysis.
10: Gene–gene and Gene–environment Interactions in Defining Risk and Spectrum of Phenotypes in Idiopathic Inflammatory Myopathies.
11: Conclusions.
12: Future Avenues.
13: Functional Studies of Gene–gene Interaction of Autoimmune Diseases.
14: Genetic Vectors Approach in a Study of Fine Structure of Interaction between Risk Haplotype of HTR2A and HLA-DRB1 Shared Epitope Alleles in Rheumatoid Arthritis.
15: Network Biology Empowering Detection and Understanding of Interactions between Genetic Factors in Development of Complex Phenotypes.
16: Conclusions.
Index.