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使用系谱不平衡检验分析候选基因中的单核苷酸多态性。

Analysis of single nucleotide polymorphisms in candidate genes using the pedigree disequilibrium test.

作者信息

Hardy S W, Weir B S, Kaplan N L, Martin E R

机构信息

Bioinformatics Research Center, North Carolina State University, Raleigh, North Carolina, USA.

出版信息

Genet Epidemiol. 2001;21 Suppl 1:S441-6. doi: 10.1002/gepi.2001.21.s1.s441.

Abstract

The pedigree disequilibrium test (PDT) has been proposed recently as a test for association in general pedigrees [Martin et al., Am J Hum Genet 67:146-54, 2000]. The Genetic Analysis Workshop (GAW) 12 simulated data, with many extended pedigrees, is an example the type of data to which the PDT is ideally suited. In replicate 42 from the general population the PDT correctly identifies candidate genes 1, 2, and 6 as containing single nucleotide polymorphisms (SNPs) that are significantly associated with the disease. We also applied the truncated product method (TPM) [Zaykin et al., Genet Epidemiol, in press] to combine p-values in overlapping windows across the genes. Our results show that the TPM is helpful in identifying significant SNPs as well as removing spurious false positives. Our results indicate that, using the PDT, functional disease-associated SNPs can be successfully identified with a dense map of moderately polymorphic SNPs.

摘要

谱系不平衡检验(PDT)最近被提出作为一种用于一般谱系中关联性检验的方法[马丁等人,《美国人类遗传学杂志》67:146 - 154,2000年]。遗传分析研讨会(GAW)12模拟数据包含许多扩展谱系,是非常适合PDT检验的数据类型的一个例子。在来自一般人群的第42次重复实验中,PDT正确地识别出候选基因1、2和6包含与疾病显著相关的单核苷酸多态性(SNP)。我们还应用了截短乘积法(TPM)[扎伊金等人,《遗传流行病学》,即将发表]来合并跨基因重叠窗口中的p值。我们的结果表明,TPM有助于识别显著的SNP以及去除虚假的假阳性。我们的结果表明,使用PDT,可以通过中等多态性SNP的密集图谱成功识别与疾病相关的功能性SNP。

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