Genetic Analysis of Complex Disease
3. Edition January 2022
336 Pages, Softcover
Practical Approach Book
Genetic Analysis of Complex Disease provides a comprehensive introduction to the various strategies, designs, and methods of analysis for the study of human complex genetic disease. Chapters present clear and easily referenced overviews of the broad range of considerations involved in genetic analysis of human complex genetic disease. This updated third edition includes a new chapter on next-generation sequencing, copy-number variants and epigenetic analysis, increased emphasis on bioinformatics tools, and a new expanded chapter on complex genetic interactions.
Price: 122,00 €
Price incl. VAT, excl. Shipping
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.
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
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 McCauley, 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
Marylyn D. Ritchie, PhD, 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.