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基于非参数模拟的一般家系连锁统计量

Nonparametric simulation based linkage statistics for general pedigrees.

作者信息

Weeks D E, Davis S, Schroeder M, Goldin L R

机构信息

University of Pittsburgh School of Medicine, PA, USA.

出版信息

J Rheumatol. 1997 Jan;24(1):206-7.

PMID:9002040
Abstract

A common strategy for testing for linkage without posing a disease model is to test for increased marker similarity among the affected pedigree members. We developed a simulation based statistic, SimIBD, which measures marker similarity in terms of identity-by-descent (IBD) when it can be determined whether or not the alleles are IBD, and in terms of the probability of the alleles being IBD when it cannot be determined. The SimIBD statistic is not only more powerful than its precursor, the affected-pedigree-member (APM) method, but it is also less sensitive to the misspecification of marker allele frequencies.

摘要

一种在不设定疾病模型的情况下进行连锁测试的常见策略是测试患病家系成员之间标记相似性的增加情况。我们开发了一种基于模拟的统计量SimIBD,当能够确定等位基因是否为同源等位基因时,它根据同源等位基因(IBD)来衡量标记相似性;当无法确定时,则根据等位基因为IBD的概率来衡量。SimIBD统计量不仅比其前身——患病家系成员(APM)方法更具效力,而且对标记等位基因频率的错误设定也更不敏感。

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