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- Statistical Genetics of Complex Diseases
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1. Population genetics considerations
- Prof. Nan Laird
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2. Gene-by-environment interaction: study designs and analytical methods
- Prof. L. Adrienne Cupples
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3. Analysis of SNP haplotypes
- Prof. Lyle Palmer
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4. Statistical issues in epidemiological studies of gene-environment interaction
- Dr. Peter Kraft
- Prof. Donna Spiegelman
- Molecular Epidemiology of Pulmonary Diseases
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5. Molecular epidemiology of lung cancer
- Prof. David Christiani
- Autoimmune Diffuse Connective Tissue Diseases
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7. Environmental scleroderma: the evidence for putative triggers
- Prof. Maureen Mayes
- Drug-Induced Disease
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8. Drug-induced lupus
- Prof. Evelyn Hess
- Archived Lectures *These may not cover the latest advances in the field
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9. Biomarkers of exposure
- Prof. Thomas Smith
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10. GIS and spatial statistics
- Prof. Louise Ryan
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11. Gene-by-environment interactions in COPD
- Prof. Edwin Silverman
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14. Indians, twins and scleroderma: genetic and genomic studies
- Prof. Frank Arnett
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15. Gene by environment interaction in asthma
- Prof. Scott Weiss
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16. Molecular epidemiology of lung cancer
- Prof. David Christiani
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18. Infectious environmental factors and systemic lupus erythematosus
- Prof. Judith James
Printable Handouts
Navigable Slide Index
- Introduction
- Outline
- Gene by environment interaction - definitions
- Gene by environment interaction - examples
- Study designs and types of measures
- Study designs
- Dichotomous traits - classical case-control study
- Case-control study - odds ratio
- Case-only study
- Example - case-control and case-only studies
- Additive vs. multiplicative scales
- Case-only vs. case-control studies
- Discordant affected twin studies
- Discordant affected twin studies - odds ratio
- Study designs: issues
- Study designs: family studies
- G x e interactions vs. genetic heterogeneity
- Genetic heterogeneity - examples
- Genetic heterogeneity
- Linkage analyses strategies
- Ordered subsets - goal and strategy
- Desighning ordered subsets
- Ordered subset - evaluating significance
- Ordered subset - example
- Ordered subset - graph for example
- G x e stratified analysis - goal
- G x e stratified analysis - example
- G x e stratified analysis - graph for example
- Variance component g x e modeling
- Extension of the model
- Tests for interactions
- G x e modeling - example
- Polygenic model
- Results of the modeling
- Model's conclusions
- Pedigree-based association analysis
- Pedigree-based association analysis - variables
- PBAT - test based on score statistics
- PBAT - example
- PBAT - results of example
- Summary
Topics Covered
- 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
Talk Citation
Cupples, L.A. (2007, October 1). Gene-by-environment interaction: study designs and analytical methods [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved December 22, 2024, from https://doi.org/10.69645/UBBC4199.Export Citation (RIS)
Publication History
Financial Disclosures
- Prof. L. Adrienne Cupples has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.
Gene-by-environment interaction: study designs and analytical methods
Published on October 1, 2007
39 min
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