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Author: David Siegmund
Publisher: Springer Science & Business Media
ISBN: 0387496866
Category : Medical
Languages : en
Pages : 337
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Book Description
This book details the statistical concepts used in gene mapping, first in the experimental context of crosses of inbred lines and then in outbred populations, primarily humans. It presents elementary principles of probability and statistics, which are implemented by computational tools based on the R programming language to simulate genetic experiments and evaluate statistical analyses. Each chapter contains exercises, both theoretical and computational, some routine and others that are more challenging. The R programming language is developed in the text.
Author: David Siegmund
Publisher: Springer Science & Business Media
ISBN: 0387496866
Category : Medical
Languages : en
Pages : 337
Get Book Here
Book Description
This book details the statistical concepts used in gene mapping, first in the experimental context of crosses of inbred lines and then in outbred populations, primarily humans. It presents elementary principles of probability and statistics, which are implemented by computational tools based on the R programming language to simulate genetic experiments and evaluate statistical analyses. Each chapter contains exercises, both theoretical and computational, some routine and others that are more challenging. The R programming language is developed in the text.
Author: Benjamin Neale
Publisher: Garland Science
ISBN: 1134129335
Category : Science
Languages : en
Pages : 608
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Book Description
Statistical Genetics is an advanced textbook focusing on conducting genome-wide linkage and association analysis in order to identify the genes responsible for complex behaviors and diseases. Starting with an introductory section on statistics and quantitative genetics, it covers both established and new methodologies, providing the genetic and statistical theory on which they are based. Each chapter is written by leading researchers, who give the reader the benefit of their experience with worked examples, study design, and sources of error. The text can be used in conjunction with an associated website (www.genemapping.org) that provides supplementary material and links to downloadable software.
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309038405
Category : Science
Languages : en
Pages : 128
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Book Description
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 that are needed? What new legal, social, and ethical questions will be raised? Mapping and Sequencing the Human Genome is a blueprint for this proposed project. The authors offer a highly readable explanation of the technical aspects of genetic mapping and sequencing, and they recommend specific interim and long-range research goals, organizational strategies, and funding levels. They also outline some of the legal and social questions that might arise and urge their early consideration by policymakers.
Author: Ben Hui Liu
Publisher: CRC Press
ISBN: 1351414534
Category : Mathematics
Languages : en
Pages : 642
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Book Description
Genomics, the mapping of the entire genetic complement of an organism, is the new frontier in biology. This handbook on the statistical issues of genomics covers current methods and the tried-and-true classical approaches.
Author: Kenneth Lange
Publisher: Springer Science & Business Media
ISBN: 0387217509
Category : Medical
Languages : en
Pages : 376
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Book Description
Written to equip students in the mathematical siences to understand and model the epidemiological and experimental data encountered in genetics research. This second edition expands the original edition by over 100 pages and includes new material. Sprinkled throughout the chapters are many new problems.
Author: Rongling Wu
Publisher: Springer Science & Business Media
ISBN: 038768154X
Category : Science
Languages : en
Pages : 371
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Book Description
This book introduces the basic concepts and methods that are useful in the statistical analysis and modeling of the DNA-based marker and phenotypic data that arise in agriculture, forestry, experimental biology, and other fields. It concentrates on the linkage analysis of markers, map construction and quantitative trait locus (QTL) mapping, and assumes a background in regression analysis and maximum likelihood approaches. The strength of this book lies in the construction of general models and algorithms for linkage analysis, as well as in QTL mapping in any kind of crossed pedigrees initiated with inbred lines of crops.
Author: Terry Speed
Publisher:
ISBN: 9781461207528
Category :
Languages : en
Pages : 236
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Book Description
Author: Nan M. Laird
Publisher: Springer Science & Business Media
ISBN: 1441973389
Category : Medical
Languages : en
Pages : 226
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Book Description
This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics. Starting with Mendel’s first experiments to genome-wide association studies, the book describes how genetic information can be incorporated into statistical models to discover disease genes. All commonly used approaches in statistical genetics (e.g. aggregation analysis, segregation, linkage analysis, etc), are used, but the focus of the book is modern approaches to association analysis. Numerous examples illustrate key points throughout the text, both of Mendelian and complex genetic disorders. The intended audience is statisticians, biostatisticians, epidemiologists and quantitatively- oriented geneticists and health scientists wanting to learn about statistical methods for genetic analysis, whether to better analyze genetic data, or to pursue research in methodology. A background in intermediate level statistical methods is required. The authors include few mathematical derivations, and the exercises provide problems for students with a broad range of skill levels. No background in genetics is assumed.
Author: Florian Frommlet
Publisher: Springer
ISBN: 1447153103
Category : Computers
Languages : en
Pages : 232
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Book Description
This timely text presents a comprehensive guide to genetic association, a new and rapidly expanding field that aims to elucidate how our genetic code (genotypes) influences the traits we possess (phenotypes). The book provides a detailed review of methods of gene mapping used in association with experimental crosses, as well as genome-wide association studies. Emphasis is placed on model selection procedures for analyzing data from large-scale genome scans based on specifically designed modifications of the Bayesian information criterion. Features: presents a thorough introduction to the theoretical background to studies of genetic association (both genetic and statistical); reviews the latest advances in the field; illustrates the properties of methods for mapping quantitative trait loci using computer simulations and the analysis of real data; discusses open challenges; includes an extensive statistical appendix as a reference for those who are not totally familiar with the fundamentals of statistics.
Author: Jonathan L. Haines
Publisher: Wiley-Liss
ISBN:
Category : Medical
Languages : en
Pages : 472
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Book Description
Overview of mapping common and genetically complex human disease traits (J. L. Haines, M. A. Pericak-Vance). Basic concepts in genetics (M. C. Speer). Defining disease phenotypes (A. S. Aylsworth). Basic concepts in linkage analysis ( M. A. Pericak-Vance). Determining the genetic component of a disease (L. A. Farrer, L. A. Cupples). Patient and family participation in genetic research studies (P. E. Cohen, C. Wolpert). Sample size and power (M. C. Speer). The collection of biological samples for DNA analysis (J. M. Vance). Methods of genotyping (J. M. Vance, K. B. Othmane). Database design for gene mapping studies (C. Haynes, C. Blach). Genomic screening (J. L. Haines). Lod score analysis (J. Xu, D. A. Meyers, M. A. Pericak-Vance). Sib pair analysis (D. E. Goldgar). Affected relative pair analysis (J. L. Haines). Linkage disequilibrium and allelic association (M. A. Pericak-Vance). Using public databases (J. L. Haines). Laboratory approaches toward gene identification (D. A. Marchuk). Examining complex genetic interactions (J. M. Schildkraut). Glossary. Appendix: useful websites for genetic analysis. Index.
