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Approaches to Gene Mapping in Complex Human Diseases [Hardcover]

Jonathan L. Haines (Editor), Margaret A. Pericak-Vance (Editor)


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Book Description

0471171956 978-0471171959 September 24, 1998 1
Approaches to Gene Mapping in Complex Human Diseases

Edited by Jonathan L. Haines and Margaret A. Pericak-Vance

Recent years have seen a tremendous growth in statistical and laboratory methods for genetic mapping -a process by which we discover genes that contribute to heart disease, hypertension, diabetes, asthma, cancer, and other complex genetic disorders not controlled by a single gene.

Approaches to Gene Mapping in Complex Human Diseases is the first book devoted to the analysis of such common, inherited diseases. This text helps the reader sort through the plethora of available resources, choose the best methodology for a given problem, and design successful gene mapping projects from the ground up. In eighteen chapters, compiled by two of the leading figures in the field, this book covers a wide range of topics -from the process of selecting families to the testing of candidate genes. It provides indispensable information on:
* Genetic concepts and statistics pertaining to mapping genetic disease
* Issues involved in collecting and handling biological samples and data
* Strategies for generating data in the lab
* Methods of analysis such as Lod score, Sib-pair, or Affected Relative-Pair
* Public databases and mapping resources
* Sources of statistical and genetic information, software, and documentation.

Approaches to Gene Mapping in Complex Human Diseases clearly explains concepts and design procedures while keeping technical details to a minimum. For geneticists, clinicians, molecular biologists, epidemiologists, and anyone interested in the pursuit of genes, it provides a solid grounding in the fundamentals and facilitates a firm grasp of the most advanced procedures and techniques available.

Editorial Reviews

Review

"The book provides a useful compendium of information for those who wish to embark on gene mapping studies. The editors are to be commended on taking on such a difficult task." --Analytical Biochemistry, Volume 270, 1999

From the Publisher

By emphasizing concepts and design rather than focusing on technical details, this book prepares the researcher to use all available resources intelligently and efficiently. Introductory chapter puts readers from diverse backgrounds on equal footing. Information about public databases, mapping resources and where to find theoretical information, software, and documentation are all presented.

Product Details

  • Hardcover: 464 pages
  • Publisher: Wiley-Liss; 1 edition (September 24, 1998)
  • Language: English
  • ISBN-10: 0471171956
  • ISBN-13: 978-0471171959
  • Product Dimensions: 9.6 x 6.6 x 1.1 inches
  • Shipping Weight: 1.8 pounds
  • Amazon Best Sellers Rank: #164,967 in Books (See Top 100 in Books)

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Inside This Book (learn more)
First Sentence:
Disease gene mapping in humans has a long history, predating even the identification of DNA as the genetic molecule (Watson and Crick, 1953), and the determination of the number of human chromosomes (Ford and Hamerton, 1956; Tjio and Levan, 1956). Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
family studies director, parametric lod score analysis, underlying genetic model, recombination fraction between the trait, genetically complex diseases, disease allele frequency, family ascertainment, lod score approach, true recombination fraction, nonrecombinant gamete, major gene model, multipoint analysis, sibling relative risk, buccal brushes, complex genetic interactions, genetic marker data, disease allele frequencies, marker allele frequencies, genotyping markers, lod score calculations, marker locus, admixture test, allele frequency estimates, cousin pairs, pedigree material
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Hum Genet, Nat Genet, Genet Epidemiol, New York, Proc Natl Acad Sci, Hum Hered, North Carolina, Med Genet, Hum Mol Genet, Nucleic Acids Res, Oxford University Press, Ann Eugen, United States, Ben Othmane, Johns Hopkins University Press, Cooperative Human Linkage Center, Human Genome Initiative, Mean Zmax Mean, Polymorphisme Humain, Trends Genet, Whitehead Institute, Ben Hamida, Genome Database, Methods Appl, Multiple Sclerosis Genetics Group
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