Mapping quantitative trait loci for binary trait in the F2:3 design

2008 ◽  
Vol 87 (3) ◽  
pp. 201-207
Author(s):  
Chengsong Zhu ◽  
Yuan-Ming Zhang ◽  
Zhigang Guo
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Binary Trait ◽  
Trait Loci

scholarly journals Bayesian Mapping of Quantitative Trait Loci for Complex Binary Traits

Genetics ◽  
2000 ◽  
Vol 155 (3) ◽  
pp. 1391-1403
Author(s):  
Nengjun Yi ◽  
Shizhong Xu
Keyword(s):  
Quantitative Trait Loci ◽  
Bayesian Statistics ◽  
Quantitative Trait ◽  
Data Augmentation ◽  
Threshold Model ◽  
Binary Trait ◽  
Monte Carlo Algorithm ◽  
Binary Traits ◽  
Trait Loci ◽  
Bayesian Mapping

Abstract A complex binary trait is a character that has a dichotomous expression but with a polygenic genetic background. Mapping quantitative trait loci (QTL) for such traits is difficult because of the discrete nature and the reduced variation in the phenotypic distribution. Bayesian statistics are proved to be a powerful tool for solving complicated genetic problems, such as multiple QTL with nonadditive effects, and have been successfully applied to QTL mapping for continuous traits. In this study, we show that Bayesian statistics are particularly useful for mapping QTL for complex binary traits. We model the binary trait under the classical threshold model of quantitative genetics. The Bayesian mapping statistics are developed on the basis of the idea of data augmentation. This treatment allows an easy way to generate the value of a hypothetical underlying variable (called the liability) and a threshold, which in turn allow the use of existing Bayesian statistics. The reversible jump Markov chain Monte Carlo algorithm is used to simulate the posterior samples of all unknowns, including the number of QTL, the locations and effects of identified QTL, genotypes of each individual at both the QTL and markers, and eventually the liability of each individual. The Bayesian mapping ends with an estimation of the joint posterior distribution of the number of QTL and the locations and effects of the identified QTL. Utilities of the method are demonstrated using a simulated outbred full-sib family. A computer program written in FORTRAN language is freely available on request.

Identification of cis-regulated genes in quantitative trait loci driving liver fibrosis

2012 ◽  
Vol 50 (08) ◽  
Author(s):  
R Hall ◽  
R Müllenbach ◽  
S Huss ◽  
R Alberts ◽  
K Schughart ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Liver Fibrosis ◽  
Quantitative Trait ◽  
Trait Loci

Identification of NASH Quantitative Trait Loci (QTLs) using in silico mapping analysis in inbred mice

2004 ◽  
Vol 42 (08) ◽  
Author(s):  
F Lammert ◽  
S Hillebrandt ◽  
S Matern ◽  
K Spatz ◽  
RM Green
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
In Silico ◽  
Inbred Mice ◽  
In Silico Mapping ◽  
Mapping Analysis ◽  
Trait Loci

Mapping and genetic effect analysis of quantitative trait loci related to body length in mirror carp (Cyprinus carpio L.)

2011 ◽  
Vol 33 (11) ◽  
pp. 1245-1250 ◽  
Author(s):  
Tian-Qi ZHANG ◽  
Xiao-Feng ZHANG ◽  
Zhao-Jun TAN ◽  
Zhu CAO ◽  
Xuan-Peng WANG ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Body Length ◽  
Cyprinus Carpio ◽  
Quantitative Trait ◽  
Genetic Effect ◽  
Effect Analysis ◽  
Mirror Carp ◽  
Trait Loci
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