title: [Methodology of mapping quantitative trait loci for discrete traits using maximum likelihood].
abstract: The maximum likelihood method was used to compare the efficiency of interval mapping with either the threshold model or the linear model. The irfluencing factors of quantitative trait loci (QTL) detection efficiency (e.g. QTL effect, heritability and incidence of categories) were simulated in our study. Daughter design with multiple families was applied, and the number of segregating population was 500. The results showed that the threshold model was superior in terms of parameter estimation. It was a more efficient and accurate model of QTL mapping for discrete traits. In addition, the accuracy of QTL mapping depended on the effect of the putative QTL, the value of heritability and incidence directly. With an increase of QTL effect, heritability and incidence of categories, the accuracy of QTL mapping improved correspondingly.
authors.affiliation: College of Animal Science and Technology, China Agricultural University, Beijing 100094, China. yinzongjun@yahoo.com.cn
authors.forename: Zong-Jun
authors.initials: ZJ
authors.lastname: Yin
authors.forename: Qin
authors.initials: Q
authors.lastname: Zhang
authors.forename: Hong-Quan
authors.initials: HQ
authors.lastname: Chen
authors.forename: Ji-Gang
authors.initials: JG
authors.lastname: Zhang
authors.forename: Xiang-Dong
authors.initials: XD
authors.lastname: Ding
authors.forename: Chun-Kao
authors.initials: CK
authors.lastname: Wang
mesh_terms: D000465:Algorithms; D000818:Animals; D002874:Chromosome Mapping / Q000379:methods*; D005260:Female; D005838:Genotype; D016013:Likelihood Functions; D016014:Linear Models; D008297:Male; D008957:Models, Genetic; D040641:Quantitative Trait Loci / Q000235:genetics*