A Bayesian approach to replication of linkage findings

Kai Wang, Veronica Vieland, Jian Huang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

24 Citations (Scopus)

Abstract

A novel Bayesian approach to replication studies, allowing for locus heterogeneity, is introduced. Compared with currently used approaches to replication, it offers a natural way to accumulate evidence across independently collected data sets and yields more interpretable results. Using four replicates (one as initial study and the other three as replication studies) from Problem 2 of the Genetic Analysis Workshop 11 data, we show the performance of this method. All four disease susceptibility loci (D1G009, D1G024, D3G045, D5G035) are identified and accurately mapped, with no false positive signals.
Original languageEnglish
JournalGenetic Epidemiology
Volume17
Issue numberSUPPL. 1
Publication statusPublished - 10 Dec 1999
Externally publishedYes

Keywords

  • Admixture model
  • Bayes method
  • Linkage analysis
  • Replication study

ASJC Scopus subject areas

  • Epidemiology
  • Genetics(clinical)

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