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The Foundations of Population Genetics

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An accessible but rigorous treatment of the theoretical foundations of population genetics.

Population genetics—the branch of evolutionary biology concerned with understanding how and why populations’ genetic compositions change over time—rests on a well-developed theoretical foundation that draws on genetics, mathematics, and computer science. This textbook provides an approachable but rigorous treatment for advanced undergraduate and graduate students interested in building a quantitative understanding of the genetics of evolution. Existing texts either assume very mathematically advanced readers, or avoid much of the underlying theory, instead focusing on current methods of data analysis. In contrast, The Foundations of Population Genetics develops the theory from first principles. Requiring only confidence in algebra, this self-contained, student-friendly book illustrates the conceptual framework, terminology, and methods of mathematical modeling. It progressively introduces concepts from genetics as needed, while emphasizing biological implications throughout. As a result, readers come away with a deep understanding of the structure of population genetics without needing to master its mathematics.

  • Connects theory with the most recent genetic data better than existing texts
  • Features engaging real-world examples and extensive original figures
  • Provides dozens of carefully scaffolded questions that deepen the reader's understanding of key concepts
  • Ideal as a succinct reference for established scientists in biology, medicine, and computer science
  • Instructor resources available

ISBN-13: 9780262047579

Media Type: Hardcover

Publisher: MIT Press

Publication Date: 08-29-2023

Pages: 254

Product Dimensions: 7.25(w) x 10.31(h) x 0.83(d)

Daniel M. Weinreich is Royce Professor of Teaching Excellence in Biology at Brown University.

What People are Saying About This

From the Publisher

“An introduction to population genetics for the twenty-first century that reaches far beyond the classical themes of one- and two-locus theory to include issues of data analysis, epistasis, limits to mutation rate, robustness, and more.”
—Günter P. Wagner, Alison Richard Professor Emeritus, Yale University; author of Homology, Genes, and Evolutionary Innovation
 
“Weinreich’s ability to rigorously explain the necessary math—without losing sight of the fascinating biological questions that motivate its development—is a rare and winning combination. His exposition is a triumph in rendering a complex, foundational topic accessible.”
—Lindi Wahl, Mathematics, Western University

Table of Contents

Preface xi
1 Deterministic Single-Locus Population Genetics 1
2 Stochastic Single-Locus Population Genetics 51
3 Multilocus Population Genetics 115
4 The Data 175
References 219
Index 231