Statistical Genetics
Theory, Practice and Application
Connect genetic inheritance to probability models and statistical inference. The course develops population, family, linkage and association methods before moving to GWAS, imputation, sequencing and simulation, with Nigerian examples and computational work in R and Python.
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20 chapters · 353 body pages · R and Python · Worked examples and exercises
Before you start
Probability, statistical inference and basic R or Python. Chapter 1 introduces the biological vocabulary needed for the later methods.
Your study route
Inheritance and population genetics
Families, traits and likelihood
Association and population structure
Modern genomic methods
Solutions and reference materials
How to use the course
Follow the chapters in sequence, or use the sidebar to revisit a method. Each reading has page controls, text search and a downloadable PDF. Attempt the exercises independently before opening the answer key. Keep a record of the assumptions, computations and interpretation for each worked example.
The chapter readers contain the complete supplied textbook pages. The website adds navigation and study guidance; the original mathematical notation, code, diagrams, exercises and solutions are preserved. The full download combines the supplied preliminary material and body into one bookmarked textbook.