title: A new method for computing the multipoint posterior probability of linkage.
abstract: The posterior probability of linkage (PPL) is a Bayesian statistic which directly measures the probability of linkage between a trait locus and a marker (in the 2-point case) or a genomic region (in the multipoint case). It has several benefits, including ease of interpretation, the ability to incorporate prior genomic information, and a mathematically rigorous and robust procedure for accumulating linkage information across multiple heterogeneous datasets. To date, the majority of work on the PPL has focused on the development of the 2-point statistic, with only preliminary attempts at the development of an equivalent multipoint version. In this paper we present a new way of computing of the multipoint PPL. This new version imputes to each genomic point an estimate of the 2-point PPL we would have obtained from a fully informative marker giving similar evidence for linkage. This version, which we call the imputed PPL, is shown to be superior to previously developed versions.
authors.affiliation: Program in Public Health Genetics, College of Public Health, University of Iowa, Iowa City, IA 52242, USA. mark-logue@uiowa.edu
authors.forename: Mark W
authors.initials: MW
authors.lastname: Logue
authors.forename: Veronica J
authors.initials: VJ
authors.lastname: Vieland
mesh_terms: D001499:Bayes Theorem; D019295:Computational Biology / Q000379:methods*; D008040:Genetic Linkage; D005819:Genetic Markers; D006801:Humans; D008957:Models, Genetic; D020412:Multifactorial Inheritance / Q000235:genetics*; D011336:Probability; D013223:Statistics as Topic
chemical_list: D005819:Genetic Markers