离散性状QTL区间定位的最大似然方法  

Methodology of Mapping Quantitative Trait Loci for Discrete Traits Using Maximum Likelihood

作　　者：殷宗俊[1] 张勤[1] 陈宏权[2] 张纪刚[1] 丁向东[1] 王春考[1] 

机构地区：[1]中国农业大学动物科技学院,北京100094 [2]安徽农业大学动物科技学院,合肥230036

出　　处：《Acta Genetica Sinica》2005年第9期923-929,共7页

基　　金：国家重点基础研究发展规划(编号:G2000016103);安徽省教育厅项目(编号:2002jq126;2004kj151)~~

摘　　要：采用最大似然区间定位法对阈模型与一般线性模型的QTL定位效率进行了比较,并对影响离散性状QTL检测效率的主要因素(QTL效应、性状的遗传力和表型发生率)进行了模拟研究,实验设计为多个家系的女儿设计,资源群体大小为500头。研究结果表明:在QTL参数估计及检验功效方面,阈模型方法具有较大的优势,对离散性状QTL定位的效率明显高于LM(LinearModel)方法,定位的准确性也较高。另外,性状遗传力、QTL效应的大小和性状表型发生率对QTL定位的准确度也有直接的影响,随着性状遗传力和表型发生率的提高,随着QTL效应的增大,QTL定位的效率也进一步提高。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.

关 键 词：离散性状 阈模型 QTL定位 最大似然法 

分 类 号：Q343.17[生物学—遗传学]