Empirical Bayes methods for testing associations with large numbers of candidate genes in the presence of environmental risk factors, with applications to HLA associations in IDDM.

@article{Thomas1992EmpiricalBM,
  title={Empirical Bayes methods for testing associations with large numbers of candidate genes in the presence of environmental risk factors, with applications to HLA associations in IDDM.},
  author={Duncan C Thomas and Bryan Langholz and David Clayton and Janne M Pitk{\"a}niemi and Eva Tuomilehto-Wolf and Jaakko Tuomilehto},
  journal={Annals of medicine},
  year={1992},
  volume={24 5},
  pages={387-92}
}
Standard regression models for disease incidence data can be used to test for associations between a disease and measured genetic and environmental factors and their interactions. Complications arise when the gene is not observed, requiring segregation and linkage analysis approaches, or when the candidate gene(s) are found to be highly polymorphic, as in the HLA region. We propose a Bayesian approach to the latter problem, in which the log relative risks for all alleles at a given locus are… CONTINUE READING

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