Bayesian Multiple Quantitative Trait Loci Mapping for Complex Traits Using Markers of the Entire Genome
Overview
Affiliations
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.
Empirical Bayesian elastic net for multiple quantitative trait locus mapping.
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Empirical Bayesian LASSO-logistic regression for multiple binary trait locus mapping.
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Fast empirical Bayesian LASSO for multiple quantitative trait locus mapping.
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