between the lines of genetic code

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Between the Lines of Genetic Code
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Publisher : Elsevier Inc. Chapters
Release Date :
ISBN 10 : 012806174X
Pages : 232 pages
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Between the Lines of Genetic Code

Download or read online Between the Lines of Genetic Code written by Leonid Padyukov, published by Elsevier Inc. Chapters which was released on 2013-09-28. Get Between the Lines of Genetic Code Books now! Available in PDF, ePub and Kindle.

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Between the Lines of Genetic Code

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

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Between the Lines of Genetic Code

Following the success of genome-wide association studies, it is now important to unravel interactions between genes as well as between genes and environment. Here we discuss how to interpret higher order statistical interactions in terms of underlying biological processes purportedly generating such dependencies. In this chapter, we specifically review how

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Between the Lines of Genetic Code

Functional analysis of genetic variants in association with human complex diseases remains a challenge for modern research. Discovery of gene–gene interactions may represent an additional tool for identifying specific polymorphisms involved in disease development. It not only identifies new candidate genes for mechanistic studies, but also suggests biological relations

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Between the Lines of Genetic Code

Gene–gene interactions are a critical component of the genetic architecture of complex, human traits. Unfortunately, the detection and characterization of interactions is a challenge. This is due to a number of factors including the combinatorial explosion of possible interactions in large-scale genomic data, limited power in small sample sizes,

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Between the Lines of Genetic Code

The idiopathic inflammatory myopathies (IIMs) represent a complex spectrum of overlapping connective tissue diseases which have skeletal muscle involvement as one of their major components. While recent immunogenetic research has shown that myositis-specific and myositis-associated autoantibodies (MSAs/MAAs) are clearly associated with and thus define many clinical IIM subsets, future

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Between the Lines of Genetic Code

Genome-wide interaction studies is an extremely challenging problem in statistics, in which conventional methods are often inadequate in terms of both power and computational efficiency. An exhaustive search for genome-wide gene–gene interactions becomes feasible with modern cluster computing run on graphics processing units. However, the large number of tests

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Between the Lines of Genetic Code

Multiple sclerosis (MS) is a multifactorial disease where both environmental and genetic risk factors play a role. More than 50 genetic polymorphisms have been identified in association with MS mostly by mapping close to genes involved in immunoregulation. Several environmental factors have been associated with risk for developing MS, including smoking,

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Between the Lines of Genetic Code

Rheumatoid arthritis (RA) is a chronic autoimmune disease with poorly understood etiology. Over the years, many genetic risk factors and some environmental risk factors were discovered to be important for RA. Genetic variants from the HLA-DRB1 locus, the shared epitope alleles, in different populations show a relatively strong and consistent

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Between the Lines of Genetic Code

Many diseases are believed to occur as a result of interactions between genes and environment. In epidemiology, there are several study designs, such as cohort and case-control studies, that can be used to analyze biological interaction. In this chapter, we discuss crucial issues in the design stage of epidemiologic studies,

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Between the Lines of Genetic Code

We introduce new quantitative characteristics of the population using an analogy to the system of multi-spin molecules: the disease fields, which may depend on interactions, and the susceptibility to disease as derivative of genetic vector’s (GV’s) frequency of cases with respect to these fields. The genetic vector’s

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Between the Lines of Genetic Code

This chapter deals with estimation of interaction through different statistical models. Interaction is classified into two different classes, antagonistic and synergistic effects. An antagonistic effect is said to be present if the combination of two factors decrease the measure of interest as compared to the expected sum of the single

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Evolution of the Genetic Code

The genetic code was deciphered experimentally around 1966 and for a number of years scientists considered it to be "universal" for all forms of life. In 1981 researchers shocked the scientific community with the discovery that the code differed in mitochondria and certain other organisms, evidence that the genetic code was still

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Mapping and Sequencing the Human Genome

There is growing enthusiasm in the scientific community about the prospect of mapping and sequencing the human genome, a monumental project that will have far-reaching consequences for medicine, biology, technology, and other fields. But how will such an effort be organized and funded? How will we develop the new technologies

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The Human Genome Project

Provides a history of the project, and discusses its implications, ethics, potential products, and the people involved

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