Title:	Forward-Time Population Genetics Simulations
Authors:	BO PENG MAREK KIMMEL CHRISTOPHER I. AMOS
Keywords:	Genetics, Population
Issue Date:	2012
Publisher:	Wiley
Description:	The simulation approaches that are described in this book involve knowledge from several disciplines. First, the genes and genomes are the targets of simulations, so some understanding of biology and genetics is needed. Then, the simulations involve the evolution of a collection of individuals over a long period of time, and we are concerned with the dynamics of the properties of the whole population rather than with a small number of individuals. This involves knowledge of population and evolutionary genetics. Finally, as the most important application area, we will simulate the evolution of human diseases and produce populations with affected individuals. Techniques from statistical genetics and genetic epidemiology will be used to locate genes that are responsible for the diseases. This chapter reviews basic concepts and, more importantly, various mathematical models that will be used in this book, organized by disciplines. To target the most essential components, these concepts are often defined in a casual way that may not reflect their full biological or statistical complexity. For more in-depth descriptions and concrete examples, the reader should refer to standard textbooks on these topics [1–4]. Readers who are already familiar with one or more of the disciplines can skip relevant sections.
URI:	http://10.6.20.12:80/handle/123456789/56211
ISBN:	978-0-470-50348-5
Appears in Collections:	Population Studies

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.