Browse list of available series in The Biomedical & Life Sciences Collection
Recommend The Biomedical & Life Sciences Collection to your librarian
Request to be kept updated on The Biomedical & Life Sciences Collection
Apply for a free trial of The Biomedical & Life Sciences Collection
View all talks & series with full access

Guest (sample access)

Optional Login with Username


        
> Home  /  Biomedical & Life Sciences  /  Series  /  Gene-Environment Interactions  /  Talk Details
SHARE:   Email via Outlook   Email via Web   Facebook   Twitter   |   more
Close SHARE
Please select one of the methods below to share the following page with your collegues:
Gene-by-Environment Interaction: Study Designs and Analytical Methods
Blogger Google Reader
Delicious Linked In
Digg MySpace
Favorites PDF Online
Gmail

Hello. As a guest, you do not have full access to this talk. Click the PLAY button below to watch the sample extract. Alternatively, you may login or review methods of obtaining more access.

    SPEAKER(S)

Prof. L. Adrienne Cupples - Department of Biostatistics, School of Public Health, Boston University

Dr. Cupples received a PhD in Mathematics and Statistics in 1980 from Boston University. In 1981, she joined the Department of Epidemiology and Biostatistics at the School of Public Health at Boston University. Today, she is Chair and Professor of the Department of Biostatistics at the same location. Dr. Cupples has collaborated with investigators in the Framingham Heart Study (FHS) for nearly 25 years on traditional epidemiological studies of risk factors for heart disease, including nutritional factors and methodological studies of longitudinal data. Dr. Cupples serves on the Executive Committee of the FHS and the Framingham Genetics Steering Committee. Her interests lie in evaluating the joint effects of environmental factors, such as diet and genes, upon the development of cardiovascular disease traits, especially glycemic and lipid profiles and osteoarthritis and osteoporosis.

Talk Online Publication: Oct 2007

TOPICS COVERED IN GENE-BY-ENVIRONMENT INTERACTION: STUDY DESIGNS AND ANALYTICAL METHODS

Study designs that evaluate the joint effects of gene-by-environment interactions, including case-control, case only, matched pairs, random samples and family studies - Distinguishing between gene-by-environment interaction and genetic heterogeneity - Description of analytical procedures and effect measures for evaluation of gene-by-environment interaction for dichotomous and continuous outcomes - Case-control, case only, ordered subset, variance component and PBAT analyses

How to cite this talk:
Cupples, L.A. (2007), "Gene-by-Environment Interaction: Study Designs and Analytical Methods", in Christiani, D. and Fraser, P. (eds), Gene-Environment Interactions: Role in the Modulation of Pulmonary and Autoimmune Disease Risks, The Biomedical & Life Sciences Collection, Henry Stewart Talks Ltd, London (online at http://hstalks.com/bio)

Direct talk access link:
http://hstalks.com/lib.php?t=HST11.1184_1_2&c=252

    DETAILED SLIDE INDEX

1. Introduction
2. Outline
3. Gene by environment interaction - definitions
4. Gene by environment interaction - examples
5. Study designs and types of measures
6. Study designs
7. Dichotomous traits - classical case-control study
8. Case-control study - odds ratio
9. Case-only study
10. Example - case-control and case-only studies
11. Additive vs. multiplicative scales
12. Case-only vs. case-control studies
13. Discordant affected twin studies
14. Discordant affected twin studies - odds ratio
15. Study designs: issues
16. Study designs: family studies
17. G x e interactions vs. genetic heterogeneity
18. Genetic heterogeneity - examples
19. Genetic heterogeneity
20. Linkage analyses strategies
21. Ordered subsets - goal and strategy
22. Desighning ordered subsets
23. Ordered subset - evaluating significance
24. Ordered subset - example
25. Ordered subset - graph for example
26. G x e stratified analysis - goal
27. G x e stratified analysis - example
28. G x e stratified analysis - graph for example
29. Variance component g x e modeling
30. Extension of the model
31. Tests for interactions
32. G x e modeling - example
33. Polygenic model
34. Results of the modeling
35. Model's conclusions
36. Pedigree-based association analysis
37. Pedigree-based association analysis - variables
38. PBAT - test based on score statistics
39. PBAT - example
40. PBAT - results of example
41. Summary
42. END