title: [Maximum likelihood analysis for mapping dynamic trait QTL in outbred population. I . Methodology].
abstract: The quantitative traits whose phenotypic values change with time in life or other quantitative factors, were defined as dynamic traits. Based on the idea about random regression test-day model for estimating breeding values in animal evaluation, a mathematic model was constructed for mapping dynamic trait loci by using Legendre polynomials to model dynamic changes of each genetic effect. The Maximum likelihood analysis implemented via EM algorithm was used to estimate the parameters, including QTL position, fixed genetic regression effects for dynamic trait QTL mapping in outbred population. Compared with the existing method for dynamic trait mapping QTL, the new method presented here not only allowed to sample dynamic trait in disequillibrium way, but also can achieve to map dynamic traits QTL in any resource population by just one step. The further study on dynamic trait mapping QTL was theoretically discussed by incorporating genetic analysis of dynamic trait into general mapping QTL.
authors.affiliation: School of Agriculture and Biology, Shanghai Jiaotong University, Shanghai 201101, China. runqingyang@sjtu.edu.cn
authors.forename: Run-Qing
authors.initials: RQ
authors.lastname: Yang
authors.forename: Hui-Jiang
authors.initials: HJ
authors.lastname: Gao
authors.forename: Hua
authors.initials: H
authors.lastname: Sun
authors.forename: Xu
authors.initials: X
authors.lastname: Shizhong
mesh_terms: D016013:Likelihood Functions; D008957:Models, Genetic; D040641:Quantitative Trait Loci