title: Mapping genome-wide QTL of ratio traits with Bayesian shrinkage analysis for its component traits.
abstract: The ratio trait is defined as a ratio of two regular quantitative traits with normal distribution, which is distinguished from regular quantitative traits in the genetic analysis because it does not follow the normal distribution. On the basis of maximum likelihood method that uses a special linear combination of the two component traits, we develop a Bayesian mapping strategy for ratio traits, which firstly analyzes the two component traits by Bayesian shrinkage method, and then generates a new posterior sample of genetic effects for a ratio trait from ones of population means and genetic effects for the two component traits, finally, infers QTL for the ratio trait via post MCMC analysis for the new posterior sample. A simulation study demonstrates that the new method has higher detecting power of the QTL than maximum likelihood method. An application is illustrated to map genome-wide QTL for relative growth rate of height on soybean.
authors.affiliation: College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, 163319 Daqing, People's Republic of China. runqingyang@sjtu.edu.cn
authors.forename: Runqing
authors.initials: R
authors.lastname: Yang
authors.forename: Tianbo
authors.initials: T
authors.lastname: Jin
authors.forename: Wenbin
authors.initials: W
authors.lastname: Li
mesh_terms: D001499:Bayes Theorem; D002874:Chromosome Mapping / Q000379:methods*; D016013:Likelihood Functions; D040641:Quantitative Trait Loci / Q000235:genetics*