家畜抗病性序数性状的数量性状位点定位方法。

Zong-Jun Yin, Qin Zhang, Ji-Gang Zhang, Xiang-Dong Ding
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引用次数: 0

摘要

提出了基于广义线性模型(GLM)框架的抗病性有序性状QTL定位方法。利用最大似然法估计了QTL的定位和效应参数。并与线性模型(LM)进行了效率和功率的比较。本研究还模拟了影响QTL检测效率的因素(如QTL效应和遗传力)。采用多家庭子代设计,隔离人口500人。结果表明,阈值模型在定位估计和QTL定位能力方面具有一定优势,对有序性状具有较高的效率和准确性。此外,QTL定位的准确性取决于推测的数量性状位点的作用和遗传力的值。随着QTL效应和遗传力的增加,QTL定位的准确性略有提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Methodology of mapping quantitative trait loci for ordinal traits of disease resistance in livestock.

Methodology of QTL mapping for ordinal traits of disease resistance based on the framework of a generalized linear model (GLM) was presented. The location and effect parameters of putative QTL were estimated using maximum likelihood method. The efficiency and power were compared with the linear model (LM). The factors influencing QTL detection efficiency (e.g. QTL effect and heritability) were simulated in our study too. Daughter design with multiple families was applied,and the number of segregating population was 500. Results showed that the threshold model has a certain advantage in location estimation and power of QTL mapping, and has efficiency and accuracy for ordinal traits. In addition,the accuracy of QTL mapping depends on the effect of putative quantitative trait loci and the value of heritability. With the increase of QTL effect and heritability, the accuracy of QTL mapping improves slightly.

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