The Fundamentals of modern statistical genetics
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...
Zapisane w:
| Główni autorzy: | , |
|---|---|
| Format: | Livre numérique |
| Język: | Anglais |
| Wydane: |
New York, NY :
Springer New York
2011.
Cham : Springer Nature |
| Seria: | Statistics for Biology and Health
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| Hasła przedmiotowe: | |
| Dostęp online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Komentarz: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • The fundamentals of modern statistical genetics, Nan M. Laird, Christophe Lange, 2010, New York (NY), Springer Science, 1 vol. (XIV-223 p.), Statistics for biology and health, 978-1-4419-7337-5 • The Fundamentals of Modern Statistical Genetics, Texte imprimé, 9781441973399 • The Fundamentals of Modern Statistical Genetics, Texte imprimé, 9781461427759 |
Spis treści:
- 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.