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Navigable Slide Index

1. Introduction
2. Introduction to statistical tests for association
3. Lecture outline
4. Single-locus tests of association (1)
5. Single-locus tests of association (2)
6. Single-locus Cochran-Armitage trend tests
7. Interpretation of test results
8. Logistic regression model
9. Trend test of association
10. Genotypic test of association
11. General disease models
12. Allowing for covariates
13. Example
14. Quantitative traits
15. Multi-locus models
16. Multi-locus trend model of association
17. Software for whole genome association analysis
18. Haplotype association with disease
19. Modelling haplotype effects
20. Unknown phase
21. Allowing for unknown phase
22. Parsimony issues
23. Haplotype evolution
24. Haplotype clustering
25. Software for haplotype analysis
26. When is haplotype analysis appropriate?
27. References

Topics Covered

• Simple contingency table tests: genotypic test and Cochran-Armitage trend test
• Logistic regression model for binary (case-control) data: incorporating covariates and extension to allow for multi-locus effects and interactions
• Quantitative trait association analysis
• Haplotype analysis: allowing for phase uncertainty in logistic regression model and methods for haplotype clustering
• Software: statistical tests of association, genome-wide association analysis and haplotype analysis

Links

Series:

• Statistical Methods for the Analysis of Genome-Wide Association Studies

Categories:

• Genetics & Epigenetics
• Methods

Talk Citation

Publication History

• Published on June 4, 2008
• Archived on February 6, 2025

Financial Disclosures

• Dr. Andrew Morris has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.