Cardon L R
Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
Hum Hered. 2000 Nov-Dec;50(6):350-8. doi: 10.1159/000022940.
A multiple-regression model is described for the detection of linkage disequilibrium in quantitative trait loci. The model is developed for application to large numbers of single nucleotide polymorphism (SNP) markers genotyped on small nuclear families. Parental data are not required by the method, although it provides a direct means to test quantitative trait locus-marker allele association and to determine whether any such association is attributable to linkage disequilibrium or population admixture. Analytical expectations for the regression coefficients are derived, allowing direct interpretation of the parameter estimates. Simulation studies indicate a substantial improvement in power over classical linkage studies of sibling pairs and show the effects of population admixture on the model outcomes.
描述了一种用于检测数量性状基因座中连锁不平衡的多元回归模型。该模型是为应用于在小核家庭中进行基因分型的大量单核苷酸多态性（SNP）标记而开发的。该方法不需要亲本数据，尽管它提供了一种直接手段来测试数量性状基因座-标记等位基因关联，并确定任何此类关联是否归因于连锁不平衡或群体混合。推导了回归系数的分析期望，从而可以直接解释参数估计值。模拟研究表明，与经典的同胞对连锁研究相比，该模型的效能有了显著提高，并显示了群体混合对模型结果的影响。
