추가 적립 안내

1. Introduction
2. DNA
3. Introduction to Biometrical Genetics
4. Introduction to Statistics
5. Statistical Power
6. Population Genetics and its Relevance to Gene Mapping
7. Principles of Linkage Analysis
8. IBD Estimation
9. Regression Methods for Linkage Analysis
10. Variance Components Linkage Analysis for Quantitative Traits
11. Extensions to Univariate Linkage Analysis
12. QTL Detection in Multivariate Data from Sibling Pairs
13. Factors Affecting Type I Error and Power of Linkage Analysis
14. Introduction to Association
15. Single-locus Association Models
16. Genome-wide Association
17. Haplotype Estimation
18. Multi-locus Association Models
19. Linkage Disequilibrium and Tagging
20. Haploview
21. Factors Affecting Type I Error and Power in Association
22. Resampling Approaches to Statistical Interference

Statistical Genetics is an advanced textbook focusing on conducting genome-wide linkage and association analysis in order to identify the genes responsible for complex behaviors and diseases. Starting with an introductory section on statistics and quantitative genetics, it covers both established and new methodologies, providing the genetic and statistical theory on which they are based. Each chapter is written by leading researchers, who give the reader the benefit of their experience with worked examples, study design, and sources of error.

The text can be used in conjunction with an associated website (www.genemapping.org) that provides supplementary material and links to downloadable software.