Amazon.com: Quantitative Trait Loci: Methods and Protocols (Methods in Molecular Biology) (9780896039278): Nicola J. Camp, Angela Cox: Books


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Quantitative Trait Loci: Methods and Protocols (Methods in Molecular Biology)
 
 
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Quantitative Trait Loci: Methods and Protocols (Methods in Molecular Biology) [Hardcover]

Nicola J. Camp (Editor), Angela Cox (Editor)

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Book Description

April 1, 2002 0896039277 978-0896039278 1st
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.

Editorial Reviews

Review

"...for nonstatistical students, this well-designed book provides 'detailed explanations of how best to proceed with each specific analysis, to find and use appropriate software, and to interpret results," as advertised on its back cover." - American Journal of Human Biology

From the Back Cover

Statistical methods for the analysis of quantitative trait locus (QTL), in conjunction with genome-wide screening technologies, are today yielding exciting results in the study of human disease, experimental organisms, and agriculture. In Quantitative Trait Loci: Methods and Protocols, Drs. Nicola Camp and Angela Cox have assembled a highly experienced panel of statistical geneticists who demonstrate in a step-by-step fashion how to use this powerful methodology and associated software for the detection and fine mapping of quantitative trait loci. 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 useful variations and/or extensions to standard methods are included that ease the reader toward 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. Up-to-date and highly practical, Quantitative Trait Loci: Methods and Protocols makes available to nonmathematical investigators a step-by-step guide to the productive use today of all the latest techniques for localizing genes involved in complex quantitative traits.

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Inside This Book (learn more)
First Sentence:
A classical case-control study design is frequently used in genetic epidemiology to investigate the association between genotype and the presence or absence of disease. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
loc chrom, allele identifiers, genotype file, pedigree file, missing marker data, congenie lines, locus file, granddaughter design, simple interval mapping, sharing estimates, proband status, commingling analysis, congenie strains, mean trait value, missing genotypes, founder allele, ascertainment correction, trait data, allelic effects, multipoint analyses, polygenic component, polymorphism rate, polygenic effect, pedigree relationships, composite interval mapping
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, Nature Genet, Map Manager, New York, Humana Press, Molecular Biology, Van Arendonk, Van Vleck, Wellcome Trust, Biomedical Research, Genetics Applied, Livestock Production, National Institutes of Health, World Congress, Covariate Genetic, Dairy Sci, Genome Res, Next Fig, Oxford University Press, Sun Ultra
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