The consistency of the posterior probability of linkage

K. Wang, Jian Huang, V. J. Vieland

Research output: Journal article publicationJournal articleAcademic researchpeer-review

23 Citations (Scopus)


When searching for trait loci along the genome, properly incorporating prior genomic information into the analysis will almost certainly increase the chance of success. Recently, we devised a method that utilizes such prior information in the mapping of trait genes for complex disorders (Vieland, 1998; Wang et al. 1999; Vieland et al. 2000). This method uses the posterior probability of linkage (PPL) based on the admixture model as a measure of linkage information. In this paper, we study the consistency of the PPL. It is shown that, as the number of pedigrees increases, the PPL converges in probability to 1 when there is linkage between the marker and a trait locus, and converges to 0 otherwise. This conclusion is shown to be true for general pedigrees and trait models, even when the likelihood functions are based on misspecified trait models. As part of the effort to prove this conclusion, it is shown that when there is no linkage, the maximum likelihood estimator of the recombination fraction in the admixture model is asymptotically 0.5, even when the admixture model misrepresents the true model.
Original languageEnglish
Pages (from-to)533-553
Number of pages21
JournalAnnals of Human Genetics
Issue number6
Publication statusPublished - 1 Dec 2000
Externally publishedYes

ASJC Scopus subject areas

  • Genetics
  • Genetics(clinical)


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