title: Bayesian multiple quantitative trait loci mapping for complex traits using markers of the entire genome.
abstract: A Bayesian methodology has been developed for multiple quantitative trait loci (QTL) mapping of complex binary traits that follow liability threshold models. Unlike most QTL mapping methods where only one or a few markers are used at a time, the proposed method utilizes all markers across the genome simultaneously. The outperformance of our Bayesian method over the traditional single-marker analysis and interval mapping has been illustrated via simulations and real data analysis to identify candidate loci associated with colorectal cancer.
authors.affiliation: Department of Biostatistics, Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC 27599, USA.
authors.forename: Hanwen
authors.initials: H
authors.lastname: Huang
authors.forename: Chevonne D
authors.initials: CD
authors.lastname: Eversley
authors.forename: David W
authors.initials: DW
authors.lastname: Threadgill
authors.forename: Fei
authors.initials: F
authors.lastname: Zou
mesh_terms: D000818:Animals; D001499:Bayes Theorem; D002874:Chromosome Mapping / Q000706:statistics & numerical data*; D015179:Colorectal Neoplasms / Q000235:genetics; D005819:Genetic Markers; D023281:Genomics / Q000706:statistics & numerical data; D051379:Mice; D008957:Models, Genetic; D015233:Models, Statistical; D040641:Quantitative Trait Loci
chemical_list: D005819:Genetic Markers