The scientific and public health implications of gene-environment interaction warrant that the most powerful study designs and methods of analysis be used. Because traditional case-control designs, which use nonrelated subjects, have demonstrated the need for large samples to detect interactions, al
Designing for interaction in research environments: A case study
β Scribed by Mark Lansdale; Jennifer Parkin; Simon Austin; Thom Baguley
- Book ID
- 113707349
- Publisher
- Elsevier Science
- Year
- 2011
- Tongue
- English
- Weight
- 692 KB
- Volume
- 31
- Category
- Article
- ISSN
- 0272-4944
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We assessed the sample size required for detecting gene-environment (G Γ E) interactions in a case-control study of complex diseases. The results suggest that large numbers of cases and controls will be required to detect G Γ E interaction for some odds ratio and exposure frequency combinations. The
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