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SKU/Artículo: AMZ-B0FTMQKNQ5

Population and Quantitative Genetics: Evolutionary Forces and Complex Traits (Genetics for Beginners)

Format:

Kindle

Hardcover

Kindle

Paperback

Detalles del producto

Disponibilidad:
Fuera de stock

Peso con empaque:
0.94 kg

Devolución:
No

Condición
Nuevo

Producto de:
Amazon

Viaja desde
USA

Sobre este producto

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 learnHow selection, drift, mutation, and migration jointly drive allele-frequency change—and when each dominatesWhy effective population size and inbreeding transform variation, fitness, and inferenceThe logic of linkage disequilibrium, recombination, F-statistics, and demographic footprintsThe full quantitative toolkit: variance components, heritability, GxE, epistasis, breeder’s equation, and G-matricesHow to design, power, and interpret QTL studies and GWAS with mixed models, fine-mapping, and polygenic scoresHow to separate signal from artifact: stratification, relatedness, assortative mating, pleiotropy, and measurement errorFrom association to causation: robust thinking with within-family designs and Mendelian randomizationHow to read complex-trait claims critically, reproduce results, and communicate them responsiblyPractice and mastery built in500+ carefully crafted multiple choice questions with step-by-step answers that teach, not just testEnd-of-chapter summaries, key formulas, and common-pitfall checklists to lock in learning quicklyReal-world case studies spanning human disease, agriculture, and conservation geneticsWhy this book stands outAssumptions-first approach: know when methods work—and when they don’tBalanced intuition and math: derivations you can follow, insights you can useDesigned for self-study, exam prep, and course adoption across genetics, evolution, biostatistics, and bioinformaticsWho it’s forUndergraduates and graduate students aiming for top exam scores and deep understandingInstructors seeking a rigorous, modular text with built-in assessmentResearchers and data scientists entering genomics who need a practical, assumption-aware roadmap

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