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http://dx.doi.org/10.5713/ajas.2005.1669

Methodology of Mapping Quantitative Trait Loci for Binary Traits in a Half-sib Design Using Maximum Likelihood  

Yin, Zongjun (State Key Laboratory for Agrobiotechnology, China Agricultural University)
Zhang, Qin (State Key Laboratory for Agrobiotechnology, China Agricultural University)
Zhang, Jigang (State Key Laboratory for Agrobiotechnology, China Agricultural University)
Ding, Xiangdong (State Key Laboratory for Agrobiotechnology, China Agricultural University)
Wang, Chunkao (State Key Laboratory for Agrobiotechnology, China Agricultural University)
Publication Information
Asian-Australasian Journal of Animal Sciences / v.18, no.12, 2005 , pp. 1669-1674 More about this Journal
Abstract
Maximum likelihood methodology was applied to analyze the efficiency and statistical power of interval mapping by using a threshold model. The factors that affect 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 size of segregating population is 500. The results showed that the threshold model has a great advantage in parameters estimation and power of QTL mapping, and has nice efficiency and accuracy for discrete traits. In addition, the accuracy and power of QTL mapping depended on the effect of putative quantitative trait loci, the value of heritability and incidence directly. With the increase of QTL effect, heritability and incidence of categories, the accuracy and power of QTL mapping improved correspondingly.
Keywords
Discrete Traits; Threshold Models; QTL Mapping; Maximum Likelihood;
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