Exploiting gene-environment independence in family-based case-control studies: increased power for detecting associations, interactions and joint effects.

@article{Chatterjee2005ExploitingGI,
  title={Exploiting gene-environment independence in family-based case-control studies: increased power for detecting associations, interactions and joint effects.},
  author={Nilanjan Chatterjee and Zeynep Kalaylioglu and Raymond J. Carroll},
  journal={Genetic epidemiology},
  year={2005},
  volume={28 2},
  pages={
          138-56
        }
}
Family-based case-control studies are popularly used to study the effect of genes and gene-environment interactions in the etiology of rare complex diseases. We consider methods for the analysis of such studies under the assumption that genetic susceptibility (G) and environmental exposures (E) are independently distributed of each other within families in the source population. Conditional logistic regression, the traditional method of analysis of the data, fails to exploit the independence… CONTINUE READING
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