标题：Comparison of different methods for handling linkage disequilibrium in genetic-association analyses via simulation
作者：Wang, Yongke ;Wang, Wenhui ;Luan, Yihui
作者机构：[Wang, Yongke ;Wang, Wenhui ;Luan, Yihui ] School of Mathematics, Shandong University, Jinan, 250100, China
会议名称：2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009
会议日期：17 October 2009 through 19 October 2009
来源：Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009
摘要：Multiple makers exhibiting strong linkage disequilibrium (LD) in a single genomic region and a phenotype of interest generate very compelling statistical associations in the large-scale genetic-association studies. LD, especially strong LD, between variations at neighboring loci can not only make it difficult to discern markers associated with phenotype, but also create difficulties for distinguishing the functionally relevant variations from nonfunctional variations. In this paper, we compared 5 different methods, Boosting, LASSO, Ridge regression, Stepwise and Single locus analysis, for identifying real functional variations in the circumstance of LD exiting in the variations at different loci via simulation. We found that in the case of strong LD between 20 loci, Ridge regression performs the best while in the case of degenerated LD between 500 and 1000 loci, Boosting outperforms other methods. ©2009 IEEE.