Abstract
The testing of gene and environment interaction for a susceptibility disease such as cancer has become a very popular topic in genetic epidemiological studies. This is mainly due to the fact that relatively common ploymorphisms in a wide spectrum of genes may be modified by environmental exposures.
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Qin, J. (2017). Gene and Environment Independence and Secondary Outcome Analysis in Case-Control Study. In: Biased Sampling, Over-identified Parameter Problems and Beyond. ICSA Book Series in Statistics. Springer, Singapore. https://doi.org/10.1007/978-981-10-4856-2_14
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DOI: https://doi.org/10.1007/978-981-10-4856-2_14
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