Index / 001 EN

Biology

Biology

Population and Quantitative Genetics

Graham Coop

A complete released course book developing allele-frequency change, drift, selection and quantitative variation through models and exercises.

Prerequisites: Introductory genetics, probability and calculus are recommended. Review Mendelian inheritance, allele and genotype frequencies, expectation and variance. Familiarity with simulations or basic statistical coding helps when exploring the examples.

Difficulty Level
Intermediate
Academic Level
Graduate
population geneticsquantitative geneticsevolutionary models

01 / Reading Guide

Reading Guide

Genetic reasoning: distinguish inheritance from the data you observe

Compare an open genetics course, an analysis textbook and population-model notes; use original plant-marker cases to separate recombination from observation.

Study route and exercise: University Reading List editorial project.

Who this book is for

For graduate population biology and advanced undergraduate genetics study. The text is organized as a book-length course resource, with summaries, problems and a linked equation sheet. Readers should be willing to connect biological assumptions to mathematical predictions and to examine how different mechanisms can produce superficially similar patterns.

Prerequisites

Introductory genetics, probability and calculus are recommended. Review Mendelian inheritance, allele and genotype frequencies, expectation and variance. Familiarity with simulations or basic statistical coding helps when exploring the examples.

What it covers

Population-genetic and quantitative-genetic models address the behavior of variation under drift, selection and other evolutionary processes. Examples and figures connect theoretical results to interpretation. The released version includes a discussion of the field’s historical context, including eugenics and scientific racism, rather than presenting models as socially context-free tools.

How to use it

Write the biological assumptions before deriving an allele-frequency recurrence. Solve a small deterministic case, then simulate finite populations to see how stochastic outcomes differ. Keep individual variation, sampling variation and uncertainty about a parameter separate. For a quantitative trait, explain how the model connects the measured phenotype to the population quantity of interest. Reconstruct a result from the equation sheet using the chapter derivation, then identify which conclusion would change if one assumption were relaxed.

Edition and sources

The author’s complete v1.2 release supplies the full-resolution book PDF and a reduced-size reading copy. The release specifies CC BY 3.0 for the text, figures and source, with figure attribution retained. Its “third release” label is a release history, not an independently published third-edition work.

Open the official resource