Markov chain Monte Carlo linkage analysis of a complex qualitative phenotype

Anthony Hinrichs, Jennifer H. Lin, Theodore Reich, Laura Bierut, Brian K. Suarez

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


We tested a new computer program, LOKI, that implements a reversible jump Markov chain Monte Carlo (MCMC) technique for segregation and linkage analysis. Our objective was to determine whether this software, designed for use with continuously distributed phenotypes, has any efficacy when applied to the discrete disease states of the simulated data from the Mordor data from GAW Problem 1. Although we were able to identify the genomic location for two of the three quantitative trait loci by repeated application of the software, the MCMC sampler experienced significant mixing problems indicating that the method, as currently formulated in LOKI, was not suitable for the discrete phenotypes in this data set.

Original languageEnglish
Pages (from-to)S615-S620
JournalGenetic Epidemiology
Issue numberSUPPL. 1
StatePublished - 1999


  • Linkage
  • Quantitative trait linkage


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