Bayesian multiple quantitative trait loci mapping for complex traits using markers of the entire genome. Academic Article

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

• Threadgill, David

published proceedings

• Genetics

author list (cited authors)

• Huang, H., Eversley, C. D., Threadgill, D. W., & Zou, F.

citation count

• 13

complete list of authors

• Huang, Hanwen||Eversley, Chevonne D||Threadgill, David W||Zou, Fei

publication date

• August 2007

publisher

• Oxford University Press (OUP)  Publisher

published in

• Genetics  Journal

keywords

• Animals
• Bayes Theorem
• Chromosome Mapping
• Colorectal Neoplasms
• Genetic Markers
• Genomics
• Mice
• Models, Genetic
• Models, Statistical
• Quantitative Trait Loci

PubMed Central ID

• 17483433

Digital Object Identifier (DOI)

• 10.1534/genetics.106.064980

start page

• 2529

end page

• 2540

volume

• 176

issue

• 4

URL

• http://dx.doi.org/10.1534/genetics.106.064980