Article
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.
Annals of medicine - 1 Oct 1992
Thomas D, Langholz B, Clayton D, Pitkäniemi J, Tuomilehto-Wolf E, Tuomilehto J
Abstract excerpt
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...
Topics
- Alleles
- Bayes Theorem
- Child
- Diabetes Mellitus, Type 1
- Genes
- HLA Antigens
- Haplotypes
- Humans
- Likelihood Functions
- Models, Genetic
- Risk Factors