A Bayesian approach for applying Haseman-Elston methods

Seungtai Yoon, Young Ju Suh, Nancy Role Mendell, Kenny Qian Ye

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

The main goal of this paper is to couple the Haseman-Elston method with a simple yet effective Bayesian factor-screening approach. This approach selects markers by considering a set of multigenic models that include epistasis effects. The markers are ranked based on their marginal posterior probability. A significant improvement over our previously proposed Bayesian variable selection methodology is a simple Metropolis-Hasting algorithm that requires minimum tuning on the prior settings. The algorithm, however, is also flexible enough for us to easily incorporate our hypotheses and avoid computational pitfalls. We apply our approach to the microsatellite data of Collaborative Studies on Genetics of Alcoholism using the coded values for the ALDXI variable as our response.

Original languageEnglish (US)
Article numberS39
JournalBMC genetics
Volume6
Issue numberSUPPL.1
DOIs
StatePublished - Dec 30 2005

ASJC Scopus subject areas

  • Genetics
  • Genetics(clinical)

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