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Navigable Slide Index

1. Introduction
2. Outline of the talk
3. Aim & scope
4. R environment for statistical analysis
5. Rationale of R for genetic data
6. R packages for genetic data
7. Installation and use of package(s)
8. Summary of an imaginary data
9. Test of Hardy-Weinberg equilibrium
10. Haplotype analysis
11. Pedigree-drawing
12. Regional association
13. Example: the Framingham data
14. GenABEL: identity-by-state (IBS) statistics
15. GenABEL: polygenic model
16. Q-Q and Manhattan plots
17. To recap: GWAS
18. Issues and challenges
19. Meta-analysis
20. Use of publicly available data
21. A technical summary
22. A general perspective
23. Further readings

Topics Covered

• R environment for statistical analysis
• Rationale of R for genetic data
• Use of packages
• Haplotype analysis
• Regional association
• The Framingham data
• GenABEL
• Q-Q and Manhattan plots
• GWAS
• Issues and challenges
• Meta-analysis
• Use of publically available data
• A technical summary

Links

Categories:

• Genetics & Epigenetics
• Methods

Talk Citation

Publication History

• Published on September 10, 2009

Financial Disclosures

• Dr. Jing Hua Zhao has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.