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Bayes Estimates of Haplotype Effects
Author(s) -
Thomas Duncan C.,
Morrison John L.,
Clayton David G.
Publication year - 2001
Publication title -
genetic epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.301
H-Index - 98
eISSN - 1098-2272
pISSN - 0741-0395
DOI - 10.1002/gepi.2001.21.s1.s712
Subject(s) - haplotype , bayes' theorem , markov chain monte carlo , bayesian probability , haplotype estimation , covariance , statistics , biology , mathematics , genetics , allele , gene
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. © 2001 Wiley‐Liss, Inc.