The Fundamentals of Modern Statistical Genetics

• Κύριοι συγγραφείς: Laird, Nan M. (Συγγραφέας), Lange, Christoph (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2011.
• Σειρά: Statistics for Biology and Health,
• Θέματα: Statistics.; Human genetics.; Epidemiology.; Biometrics (Biology).; Biostatistics.; Statistics for Life Sciences, Medicine, Health Sciences.; Human Genetics.; Biometrics.

This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics. Starting with Mendel’s first experiments to genome-wide association studies, the book describes how genetic information can be incorpora...

Πίνακας περιεχομένων:

• Introduction to statistical genetics and background in molecular genetics
• Principles of inheritance: mendel's laws and genetic models
• Some basic concepts from population genetics
• Aggregation, heritability and segregation analysis: modeling genetic inheritance without genetic data
• The general concepts of gene mapping: Linkage, association, linkage disequilibrium and marker maps
• Basic concepts of linkage analysis
• The basics of genetic association analysis
• Population substructure in association studies
• Association analysis in family designs
• Advanced topics
• Genome wide assocation studies
• Looking toward the future.