William K. Scott & Marylyn D. Ritchie 
Genetic Analysis of Complex Disease [EPUB ebook] 

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Genetic Analysis of Complex Diseases

An up-to-date and complete treatment of the strategies, designs and analysis methods for studying complex genetic disease in human beings

In the newly revised Third Edition of Genetic Analysis of Complex Diseases, a team of distinguished geneticists delivers a comprehensive introduction to the most relevant strategies, designs and methods of analysis for the study of complex genetic disease in humans. The book focuses on concepts and designs, thereby offering readers a broad understanding of common problems and solutions in the field based on successful applications in the design and execution of genetic studies.

This edited volume contains contributions from some of the leading voices in the area and presents new chapters on high-throughput genomic sequencing, copy-number variant analysis and epigenetic studies. Providing clear and easily referenced overviews of the considerations involved in genetic analysis of complex human genetic disease, including sampling, design, data collection, linkage and association studies and social, legal and ethical issues.

Genetic Analysis of Complex Diseases also provides:

* A thorough introduction to study design for the identification of genes in complex traits

* Comprehensive explorations of basic concepts in genetics, disease phenotype definition and the determination of the genetic components of disease

* Practical discussions of modern bioinformatics tools for analysis of genetic data

* Reflecting on responsible conduct of research in genetic studies, as well as linkage analysis and data management

* New expanded chapter on complex genetic interactions

This latest edition of Genetic Analysis of Complex Diseases is a must-read resource for molecular biologists, human geneticists, genetic epidemiologists and pharmaceutical researchers. It is also invaluable for graduate students taking courses in statistical genetics or genetic epidemiology.
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Daftar Isi

CHAPTER 1 Designing A Study For Identifying Genes In Complex Traits
William K. Scott, Marylyn D. Ritchie, Jonathan L. Haines, and Margaret A. Pericak-Vance

CHAPTER 2Basic Concepts In Genetics
Kayla Fourzali, Abigail Deppen, and Elizabeth Heise

CHAPTER 3 Determining The Genetic Component of A Disease
Allison Ashley Koch and Evadnie Rampersaud

CHAPTER 4 Study Design For Genetic Studies
Dana C Crawford and Logan Dumitrescu

CHAPTER 5 Responsible Conduct of Research In Genetic Studies
Susan Estabrooks Hahn, Adam Buchanan, Chantelle Wolpert, and Susan H. Blanton

CHAPTER 6 Linkage Analysis
Susan Blanton

CHAPTER 7 Data Management
Stephen D. Turner and William S. Bush

CHAPTER 8 Linkage Disequilibrium and Association Analysis
Eden R. Martin and Ren-Hua Chung

CHAPTER 9 Genome-Wide Association Studies
Jacob Mc Cauley, Yogasudha Veturi, Shefali Setia Verma, and Marylyn D. Ritchie

CHAPTER 10 Bioinformatics of Human Genetic Disease Studies
Dale J. Hedges

CHAPTER 11 Complex Genetic Interactions / Data Mining/ Dimensionality Reduction
William S. Bush and Stephen D. Turner

CHAPTER 12 Sample Size, Power, and Data Simulation
Sarah A. Pendergrass and Marylyn D. Ritchie

Index

Tentang Penulis

William K. Scott, Ph D, is Professor at the University of Miami Leonard M. Miller School of Medicine where he teaches design and analysis of human genomic studies. He has authored over 200 peer-reviewed articles on the genetic epidemiology of complex traits.

Marylyn D. Ritchie, Ph D, is Professor in the Department of Genetics at the University of Pennsylvania, Perelman School of Medicine. She is also the Director of the Center for Translational Bioinformatics in the Institute for Biomedical Informatics. She has authored over 350 peer-reviewed articles on statistical genetics, translational bioinformatics and biomedical informatics.
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Bahasa Inggris ● Format EPUB ● Halaman 336 ● ISBN 9781119104070 ● Ukuran file 9.4 MB ● Editor William K. Scott & Marylyn D. Ritchie ● Penerbit John Wiley & Sons ● Diterbitkan 2021 ● Edisi 3 ● Diunduh 24 bulan ● Mata uang EUR ● ID 8216398 ● Perlindungan salinan Adobe DRM
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