- THIS ARTICLE
- Full Text (Rapid PDF)
-
All Versions of this Article:
genetics.106.064980v1
176/4/2529 most recent - Alert me when this article is cited
- Alert me if a correction is posted
- SERVICES
- Similar articles in this journal
- Similar articles in PubMed
- Alert me to new issues of the journal
- Download to citation manager
- Reprints & Permissions
- CITING ARTICLES
- Citing Articles via HighWire
- Citing Articles via Google Scholar
- GOOGLE SCHOLAR
- Articles by Huang, H.
- Articles by Zou, F.
- Search for Related Content
- PUBMED
- PubMed Citation
- Articles by Huang, H.
- Articles by Zou, F.
doi:10.1534/genetics.106.064980
A more recent version of this article appeared on August 1, 2007.
REGULAR RESEARCH PAPERS |
Bayesian Multiple Quantitative Trait Loci Mapping for Complex Traits Using Markers of the Entire Genome
Hanwen Huang 1, Chevonne D. Eversley 1, David W. Threadgill 1 and Fei Zou 1*
1 University of North Carolina, Chapel Hill
* To whom correspondence should be addressed. E-mail: fzou{at}bios.unc.edu.
Submitted on August 17, 2006
Revised on October 30, 2006
Accepted on 28 April 2007
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 out-performance 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.
Key Words: Binary Trait, MCMC, QTL Mapping, Threshold Model
This article has been cited by other articles:
![]() |
N. Yi and S. Xu Bayesian LASSO for Quantitative Trait Loci Mapping Genetics, June 1, 2008; 179(2): 1045 - 1055. [Abstract] [Full Text] [PDF] |
||||
