Markov chain Monte Carlo linkage analysis of a complex qualitative phenotype
Related Experiment Video
Updated: Oct 18, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
1Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA.
Abstract:
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.
Related Concept Videos
Multiple Allele Traits
Multiple Allele Traits
Epistasis Analysis
Pedigree Analysis
Pedigree Analysis
Incomplete Dominance
