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  • Book
    edited by Leonid Padyukov.
    Summary: 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. Systematically integrates methods of defining and detecting gene interactions to provide an overview of the field. Critically analyzes current methods and tools to aid researchers in integrating gene interaction studies Includes examples of current biomedical applications and presents current research expected to shape clinical research in the near future.

    Contents:
    Terminology and definitions for interaction studies
    Reducing dimensionality in the search for gene-gene interactions
    Study design for interaction analyses
    High-throughput genetic interaction study
    Gene-gene and gene : environmental interaction in rheumatoid arthritis
    Genetic and environmental risk factors for multiple sclerosis : a role for interaction analysis
    Gene-gene and gene : environmental interactions in defining risk and spectrum of phenotypes in idiopathic inflammatory myopathies
    Functional studies of gene-gene interaction of autoimmune diseases
    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
    Network biology empowering detection and understanding of interactions between genetic factors in development of complex phenotypes
    Conclusions.
    Digital Access ScienceDirect 2014