[Methodology of mapping quantitative trait loci for discrete traits using maximum likelihood].
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.
Yin
Zong-Jun
ZJ
College of Animal Science and Technology, China Agricultural University, Beijing 100094, China. yinzongjun@yahoo.com.cn
Zhang
Qin
Q
Chen
Hong-Quan
HQ
Zhang
Ji-Gang
JG
Ding
Xiang-Dong
XD
Wang
Chun-Kao
CK
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*