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An Introduction to Population Genetics is intended as a text for a one-semester biology course in population genetics at the undergraduate or graduate levels. The goal of the book is to introduce both classical population genetics theory developed in terms of allele and haplotype frequencies and modern population genetics theory developed in terms of coalescent theory. Numerous applications of theory to problems that arise in the study of human and other populations are presented. Appendices provide the mathematical background necessary to understand the basic theory.

Some skill, some luck and lots of fun: sheep colour genetics is like a game of cards! This book explains the rules of the game. Assuming no previous knowledge, the book uses a game of cards to visualise the rules that govern colour genetics, introducing terminology on the way. What are genes and alleles? What is the phenotype of a sheep? What the genotype? The reader is introduced to agouti-pattern, base colour, and spotting and strategies are shown to identifiy them in the reader's own flock. This knowledge is expanded to show how it can be used to plan breeding for certain colours. More genes that influence colour are introduced later in the book and thought is given to preserving diversity within a breed while strategically increasing the presence of desirable traits in a flock. The book focuses on practical aspects. How to identify genotypes? Which animals should be used for test breeding? How can the knowledge be used for individual goals? Written by a molecular biologist and science communicator and co-written by a professional editor of scientific textbooks - both of them breeders of coloured sheep - this book uses an easily understandable approach to explaining colour genetics.

Our basic question is: Given a collection of DNA sequences, what underlying forces are responsible for the observed patterns of variability? To approach this question we introduce and analyze a number of probability models: the Wright-Fisher model, the coalescent, the infinite alleles model, and the infinite sites model. We study the complications that come from nonconstant population size, recombination, population subdivision, and three forms of natural selection: directional selection, balancing selection, and background selection. These theoretical results set the stage for the investigation of various statistical tests to detect departures from "neutral evolution." The final chapter studies the evolution of whole genomes by chromosomal inversions, reciprocal translocations, and genome duplication. Throughout the book, the theory is developed in close connection with data from more than 60 experimental studies from the biology literature that illustrate the use of these results. This book is written for mathematicians and for biologists alike. We assume no previous knowledge of concepts from biology and only a basic knowledge of probability: a one semester undergraduate course and some familiarity with Markov chains and Poisson processes. Rick Durrett received his Ph.D. in operations research from Stanford University in 1976. He taught in the UCLA mathematics department before coming to Cornell in 1985. He is the author of six books and 125 research papers, and is the academic father of more than 30 Ph.D. students. His current interests are the use of probability models in genetics and ecology, and decreasing the mean and variance of his golf score.

"In a species with a million individuals," writes John H. Gillespie, "it takes roughly a million generations for genetic drift to change allele frequencies appreciably. There is no conceivable way of verifying that genetic drift changes allele frequencies in most natural populations. Our understanding that it does is entirely theoretical. Most population geneticists are not only comfortable with this state of affairs, but revel in the fact that they can demonstrate on the back of an envelope, rather than in the laboratory, how an important evolutionary force operates."Longer than the back of an envelope but more concise than many books on the subject, this brief introduction to the field of population genetics offers students and researchers an overview of a discipline that is of growing importance. Chapter topics include genetic drift; natural selection; non-random mating, quantitative genetics; and the evolutionary advantage of sex. While each chapter treats a specific topic or problem in genetics, the common thread throughout the book is what Gillespie calls "the main obsession of our field," the recurring question, "Why is there so much genetic variation in natural populations?" "Population genetics remains the central intellectual connection between genetics and evolution. As genetics becomes integral to all aspects of biology, the unifying nature of evolutionary studies rests more and more on population genetics. This book lays out much of the foundation of population genetics augmented with interesting particulars and conceptual insight. Population genetics involves ideas that are quantitative and often difficult for biology undergraduates, but Professor Gillespie offers his characteristically clear thinking and articulate explanations." -- Charles Langley, University of California-Davis

Some skill, some luck and lots of fun: sheep colour genetics is like a game of cards! This book explains the rules of the game. Assuming no previous knowledge, the book uses a game of cards to visualise the rules that govern colour genetics, introducing terminology on the way. What are genes and alleles? What is the phenotype of a sheep? What the genotype? The reader is introduced to agouti-pattern, base colour, and spotting and strategies are shown to identifiy them in the reader's own flock. This knowledge is expanded to show how it can be used to plan breeding for certain colours. More genes that influence colour are introduced later in the book and thought is given to preserving diversity within a breed while strategically increasing the presence of desirable traits in a flock. The book focuses on practical aspects. How to identify genotypes? Which animals should be used for test breeding? How can the knowledge be used for individual goals? Written by a molecular biologist and science communicator and co-written by a professional editor of scientific textbooks - both of them breeders of coloured sheep - this book uses an easily understandable approach to explaining colour genetics.

Our basic question is: Given a collection of DNA sequences, what underlying forces are responsible for the observed patterns of variability? To approach this question we introduce and analyze a number of probability models: the Wright-Fisher model, the coalescent, the infinite alleles model, and the infinite sites model. We study the complications that come from nonconstant population size, recombination, population subdivision, and three forms of natural selection: directional selection, balancing selection, and background selection. These theoretical results set the stage for the investigation of various statistical tests to detect departures from "neutral evolution." The final chapter studies the evolution of whole genomes by chromosomal inversions, reciprocal translocations, and genome duplication. Throughout the book, the theory is developed in close connection with data from more than 60 experimental studies from the biology literature that illustrate the use of these results. This book is written for mathematicians and for biologists alike. We assume no previous knowledge of concepts from biology and only a basic knowledge of probability: a one semester undergraduate course and some familiarity with Markov chains and Poisson processes. Rick Durrett received his Ph.D. in operations research from Stanford University in 1976. He taught in the UCLA mathematics department before coming to Cornell in 1985. He is the author of six books and 125 research papers, and is the academic father of more than 30 Ph.D. students. His current interests are the use of probability models in genetics and ecology, and decreasing the mean and variance of his golf score.

An Introduction to Population Genetics is intended as a text for a one-semester biology course in population genetics at the undergraduate or graduate levels. The goal of the book is to introduce both classical population genetics theory developed in terms of allele and haplotype frequencies and modern population genetics theory developed in terms of coalescent theory. Numerous applications of theory to problems that arise in the study of human and other populations are presented. Appendices provide the mathematical background necessary to understand the basic theory.

This book provides concepts, examples and computer programs for the optimization of genetic contributions to animal performance. Topics cover short-term choices of genotypes and long-term improvements of populations, using information on single alleles through to multiple alleles for multiple traits. The focus is on the definition and improvement of aggregate genotypes using profit functions, bio-economic models, systems analysis, multi-trait selection, allele flow techniques, and predicted genetic and economic responses.