publication . Article . 2008

Empirical significance values for linkage analysis: trait simulation using posterior model distributions from MCMC oligogenic segregation analysis.

Robert Igo;
  • Published: 01 Jan 2008
Abstract
Variance-components (VC) linkage analysis is a powerful model-free method for assessing linkage, but the distribution of VC logarithm of the odds ratio (LOD) scores may deviate substantially from the assumed asymptotic distribution. Typically, the null distribution of the VC-LOD score and other linkage statistics has been estimated by generating new genotype data independently of the trait data, and computing a linkage statistic for many such marker-simulated data sets. However, marker simulation is susceptible to errors in the assumed marker and map model and is computationally intensive. Here, we describe a method for generating posterior distributions of link...
Subjects
free text keywords: Statistics, Quantitative trait locus, Bayes' theorem, Trait, Posterior probability, Statistical hypothesis testing, Markov chain Monte Carlo, symbols.namesake, symbols, Null distribution, Asymptotic distribution, Biology
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