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Bayesian multiple quantitative trait loci mapping for complex traits using markers of the entire genome
Authors:Huang Hanwen  Eversley Chevonne D  Threadgill David W  Zou Fei
Affiliation:Department of Biostatistics, Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC 27599, USA.
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.
Keywords:
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