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
Detecting gene-environment interactions using a case-control design
✍ Scribed by Alisa M. Goldstein; Roni T. Falk; Jeannette F. Korczak; Jay H. Lubin
- Publisher
- John Wiley and Sons
- Year
- 1997
- Tongue
- English
- Weight
- 61 KB
- Volume
- 14
- Category
- Article
- ISSN
- 0741-0395
No coin nor oath required. For personal study only.
✦ Synopsis
We assessed the sample size required for detecting gene-environment (G × 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 × E interaction for some odds ratio and exposure frequency combinations. These and other results suggest that alternative study designs may be needed to detect G × E interaction particularly with rare genes or uncommon environmental exposures.
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