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Navigable Slide Index

1. Introduction
2. Sir Archibald Garrod
3. JBS Haldane
4. Examples of diseases
5. Metabolism of Dietary Folate
6. Conceptual and analytic challenges
7. Outline - Designs
8. Study designs
9. Outline - simple pairwise analyses
10. Definition - NOTA BENE
11. Example: risk of disease and lof odds of disease
12. Different scale gives different in interaction (1)
13. Different scale gives different in interaction (2)
14. The standard "test for interaction"
15. Example: all relationships should be known
16. Screening for stratum-specific effects
17. Gene associated with risk in any subgroup
18. Exposure associated with risk in any genotype
19. Example: DNA repair gene XRCC1
20. Example: test for genetic effect
21. Beyond binary G and E
22. Outline - power considerations
23. Power
24. Programs for power calculations
25. Parameters to specify
26. Ge_trend example
27. Ge_trend example: results
28. Ge_trend example: results under minimum power
29. Ge_trend example: results under maximum power
30. Sample size is necessary to detect genetic effect
31. Test for "interaction"
32. Screening for genetic effect
33. Outline - more sophisticated analyses
34. Beyond one gene-one environmental factor
35. Ordinal coding
36. Ordinal coding - multiple loci
37. Ordinal coding - three parameter model
38. Hierarchical Models
39. Example [Aragaki et al. 1997]
40. Machine learning methods
41. Relation between training- and test-set error
42. Caveat Emptor
43. Final Thoughts
44. Software
45. References (1)
46. References (2)
47. Acknowledgements

Topics Covered

• Gene-environment interaction in the development of human traits, including disease
• Conceptual and analytical challenges
• Joint analysis of data on both genetic and environmental factors from epidemiologic studies as a way to increase power to detect a polymorphism (or an exposure) that is associated with disease risk
• Study designs
• Statistical modeling issues in the analysis of data
• Sample size and power calculations for a range of designs
• Specification of parameters
• Ordinal coding
• Hierarchical models
• The analysis of highdimensional "pathway" data (multiple related genes and environmental exposures)

Links

Series:

• Gene-Environment Interactions

Categories:

• Genetics & Epigenetics
• Methods

Talk Citation

Kraft, P. and Spiegelman, D. (2007, October 1). Statistical issues in epidemiological studies of gene-environment interaction [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved December 22, 2024, from https://doi.org/10.69645/RUNA1690.
Export Citation (RIS)

Publication History

• Published on October 1, 2007

Financial Disclosures

• Dr. Peter Kraft has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.
• Prof. Donna Spiegelman has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.