Ghosh Saurabh, Bertelsen Sarah, Reich Theodore
Department of Psychiatry, Washington University School of Medicine, St, Louis, Missouri, USA.
BMC Genet. 2003 Dec 31;4 Suppl 1(Suppl 1):S92. doi: 10.1186/1471-2156-4-S1-S92.
Compared to model-based approaches, nonparametric methods for quantitative trait loci mapping are more robust to deviations in distributional assumptions. In this study, we modify a nonparametric regression method and the "contrast function"- based regression method to analyze total cholesterol level in the younger cohort (the offspring generation) of the Genetic Analysis Workshop 13 simulated data set.
We obtained significant evidence of linkage near four of the six non-sex-specific genes in at least 30% of the replicates.
The proposed nonparametric method seems to be a powerful robust alternative to distribution-based methods.
与基于模型的方法相比，用于数量性状基因座定位的非参数方法对分布假设中的偏差更具鲁棒性。在本研究中，我们修改了一种非参数回归方法和基于“对比函数”的回归方法，以分析遗传分析研讨会13模拟数据集较年轻队列（子代）中的总胆固醇水平。
在至少30%的重复实验中，我们在六个非性别特异性基因中的四个附近获得了显著的连锁证据。
所提出的非参数方法似乎是基于分布方法的一种强大且鲁棒的替代方法。
