Genetic mapping of complex discrete human diseases by discriminant analysis
Genetic mapping of complex discrete human diseases by discriminant analysis作者机构：Department of Medicine University of Minnesota Minnesota 55455 USA Department of Epidemiology and Bio-statistics Case Western Reserve University Cleveland Ohio 44109 USA Department of Epidemiology and Bio-statistics Case Western Reserve University Cleveland Ohio 44109 USA
出 版 物：《Progress in Natural Science:Materials International》 (自然科学进展·国际材料(英文))
年 卷 期：2002年第6期
页 面：33-39页
学科分类：1001[医学-基础医学(可授医学、理学学位)] 100104[医学-病理学与病理生理学] 10[医学]
基 金：Supported by the National Natural Science Foundation of China (Grant Nos. 39970397, 30170515) the National Center of Human Genome Research of USA (Grant No. HG01577)
主 题：categorical traits IBD linkage analysis discriminant analysis.
摘 要：The objective of the present study is to propose and evaluate a novel multivariate approach for genetic mapping of complex categorical diseases. This approach results from an application of standard stepwise discriminant analysis to detect linkage based on the differential marker identity-by-descent (IBD) distributions among the different groups of sib pairs. Two major advantages of this method are that it allows for simultaneously testing all markers, together with other genetic and environmental factors in a single multivariate setting and it avoids explicitly modeling the complex relationship between the affection status of sib pairs and the underlying genetic determinants. The efficiency and properties of the method are demonstrated via simulations. The proposed multivariate approach has successfully located the true position(s) under various genetic scenarios. The more important finding is that using highly densely spaced markers (1-2 cM) leads to only a marginal loss of statistical efficiency of t
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