Genetic analysis with hierarchical models

Genet Epidemiol. 1997;14(6):1137-42. doi: 10.1002/(SICI)1098-2272(1997)14:6<1137::AID-GEPI96>3.0.CO;2-H.


During the Genetic Analysis Workshop 9 presentations [Goldin et al., 1995] a brief discussion took place about the value of empirical-Bayes methods in genetic analysis. Due to the informal nature of this discussion, the improvements available for analyzing data with this approach--and with the broader class of hierarchical models--were not clearly presented. As a methodologic contribution, I further explore how one can use this potentially valuable technique in analysis of genetic data, including data similar to those given in GAW10.

Publication types

  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Bayes Theorem
  • Genetic Linkage
  • Humans
  • Models, Genetic*
  • Models, Statistical*
  • Risk Factors