Title: Bayes estimates of haplotype effects.
Authors: Thomas, D C; Morrison, J L; Clayton, D G
Published In Genet Epidemiol, (2001)
Abstract: We describe a Markov chain Monte Carlo implementation of a Bayesian approach to estimating associations of a trait with a large set of haplotypes recently introduced by Clayton and Jones [Am J Hum Genet 65:1161-9, 2000]. The model uses the length of the longest segment in common between any two haplotypes to define the prior correlation structure for the set of haplotype effects, using an intrinsic autocorrelation model. When applied to the Genetic Analysis Workshop 12 data for trait Q1, we found highly significant variation between haplotypes, using either a structured or unstructured covariance matrix.
PubMed ID: 11793766
MeSH Terms: Bayes Theorem; Chromosome Mapping/statistics & numerical data*; Genetic Predisposition to Disease/genetics; Haplotypes/genetics*; Humans; Markov Chains; Models, Genetic*; Monte Carlo Method; Polymorphism, Single Nucleotide/genetics; Quantitative Trait, Heritable*; Research Support, U.S. Gov't, P.H.S.; Variation (Genetics)