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Population and Quantitative Genetics: Evolutionary Forces and Complex Traits
Paperback
Series: Genetics for Beginners
Publisher: Independently Published
Published: Oct 2 2025
Pages: 386
Weight: 1.13
Height: 0.80 Width: 6.00 Depth: 9.00
Language: English
Master the forces that shape genetic variation-and turn them into confident predictions about complex traits. This comprehensive, classroom-tested guide walks you from Hardy-Weinberg intuition and Wright-Fisher dynamics to modern GWAS, QTL mapping, and causal inference. With 33 tightly organized chapters, crystal-clear explanations, and 500+ exam-style multiple choice questions with fully explained answers, it's the fastest path from theory to mastery.
What you'll learn
- How selection, drift, mutation, and migration jointly drive allele-frequency change-and when each dominates
- Why effective population size and inbreeding transform variation, fitness, and inference
- The logic of linkage disequilibrium, recombination, F-statistics, and demographic footprints
- The full quantitative toolkit: variance components, heritability, GxE, epistasis, breeder's equation, and G-matrices
- How to design, power, and interpret QTL studies and GWAS with mixed models, fine-mapping, and polygenic scores
- How to separate signal from artifact: stratification, relatedness, assortative mating, pleiotropy, and measurement error
- From association to causation: robust thinking with within-family designs and Mendelian randomization
- How to read complex-trait claims critically, reproduce results, and communicate them responsibly
Practice and mastery built in
- 500+ carefully crafted multiple choice questions with step-by-step answers that teach, not just test
- End-of-chapter summaries, key formulas, and common-pitfall checklists to lock in learning quickly
- Real-world case studies spanning human disease, agriculture, and conservation genetics
Why this book stands out
- Assumptions-first approach: know when methods work-and when they don't
- Balanced intuition and math: derivations you can follow, insights you can use
- Designed for self-study, exam prep, and course adoption across genetics, evolution, biostatistics, and bioinformatics
Who it's for
- Undergraduates and graduate students aiming for top exam scores and deep understanding
- Instructors seeking a rigorous, modular text with built-in assessment
- Researchers and data scientists entering genomics who need a practical, assumption-aware roadmap
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