Simultaneous Estimation of QTL Position and Effects for a Kind of Count Trait
The variation of many quantitative traits in human, animals, or plants can be attributed to genetic effects. Quantitative traits loci (QTLs) mapping, which maps loci in the genome that affect a quantitative trait, is provided with certain scientific and economic value. The method of interval mapping is widely used for the genetic mapping of QTLs. In this article, we consider the estimation problem of QTL parameters in interval mapping for a kind of count trait. We apply a multivariate Poisson model to fit the kind of count trait, because the phenotype is measured in counts. An EM algorithm is implemented to obtain the simultaneous computation of maximum likelihood estimates (MLEs) of both QTL position and the Poisson parameters, which can potentially improve the precision of the estimates. Simulation studies show the advantages of this algorithm for estimating QTL position and the Poisson parameters over an existing method.
count trait EM algorithm interval mapping MLE Multivariate Possion distribution
Linan Zhao Weijun Ma Ying Zhou Huakun Wang
School of Mathematical Sciences, Heilongjiang University, Harbin 150080, China
国际会议
南京
英文
481-485
2010-07-29（万方平台首次上网日期，不代表论文的发表时间）