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Titlebook: Quantitative Trait Loci; Methods and Protocol Nicola J. Camp,Angela Cox Book 2002 Humana Press 2002

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发表于 2025-3-21 18:54:42 | 显示全部楼层 |阅读模式
书目名称Quantitative Trait Loci
副标题Methods and Protocol
编辑Nicola J. Camp,Angela Cox
视频video
概述Includes supplementary material:
丛书名称Methods in Molecular Biology
图书封面Titlebook: Quantitative Trait Loci; Methods and Protocol Nicola J. Camp,Angela Cox Book 2002 Humana Press 2002
描述In Quantitative Trait Loci: Methods and Protocols, a panel of highly experienced statistical geneticists demonstrate in a step-by-step fashion how to successfully analyze quantitative trait data using a variety of methods and software for the detection and fine mapping of quantitative trait loci (QTL). Writing for the nonmathematician, these experts guide the investigator from the design stage of a project onwards, providing detailed explanations of how best to proceed with each specific analysis, to find and use appropriate software, and to interpret results. Worked examples, citations to key papers, and variations in method ease the way to understanding and successful studies. Among the cutting-edge techniques presented are QTDT methods, variance components methods, and the Markov Chain Monte Carlo method for joint linkage and segregation analysis.
出版日期Book 2002
版次1
doihttps://doi.org/10.1385/1592591760
isbn_softcover978-1-61737-254-4
isbn_ebook978-1-59259-176-3Series ISSN 1064-3745 Series E-ISSN 1940-6029
issn_series 1064-3745
copyrightHumana Press 2002
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Experimental Designs for QTL Fine Mapping in RodentsFor a simple genetic trait, determined by a single gene, the Mendelian segregation of two or three phenotypes may be observed for the three possible genotypes at a specific locus.
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Quantitative Trait Loci978-1-59259-176-3Series ISSN 1064-3745 Series E-ISSN 1940-6029
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Parametric Linkage Analysisarker and a binary trait (generally, disease affection status) within pedigrees. Model-based linkage analysis of quantitative traits is also possible and forms the basis of this chapter. Methods based on the exact likelihood calculation are described in this chapter; Markov chain Monte Carlo methods are described in ..
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Approaches to the Analysis of QTL Data in Mice, Using the Nonobese Diabetic Mouse as an Example animal model may point directly to a region of interest on the human genome. For instance, in type 1 diabetes, the major susceptibility locus, ., lies in the major histocompatibility complex (MHC) on human chromosome 6 in a region syntenic with the primary determinant of murine diabetes, . on mouse chromosome 17 (.).
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QTL Analysis in Livestockve diagnostics but may also lead to new therapies and potential cures in the future. In addition, we will begin to understand interactions between genes and the environment and between genes and other genes (epistasis), which, together, will play critical roles in implementing pharmacogenomic paradigms.
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