首页> 美国卫生研究院文献>BMC Genetics >Which strategy is better for linkage analysis: single-nucleotide polymorphisms or microsatellites? Evaluation by identity-by-state – identity-by-descent transformation affected sib-pair method on GAW14 data
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Which strategy is better for linkage analysis: single-nucleotide polymorphisms or microsatellites? Evaluation by identity-by-state – identity-by-descent transformation affected sib-pair method on GAW14 data

机译:哪种策略更适合连锁分析:单核苷酸多态性或微卫星?通过状态身份评估-通过GAW14数据进行的通过血统身份转换影响的同胞对方法

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摘要

The central issue for Genetic Analysis Workshop 14 (GAW14) is the question, which is the better strategy for linkage analysis, the use of single-nucleotide polymorphisms (SNPs) or microsatellite markers? To answer this question we analyzed the simulated data using Duffy's SIB-PAIR program, which can incorporate parental genotypes, and our identity-by-state – identity-by-descent (IBS-IBD) transformation method of affected sib-pair linkage analysis which uses the matrix transformation between IBS and IBD. The advantages of our method are as follows: the assumption of Hardy-Weinberg equilibrium is not necessary; the parental genotype information maybe all unknown; both IBS and its related IBD transformation can be used in the linkage analysis; the determinant of the IBS-IBD transformation matrix provides a quantitative measure of the quality of the marker in linkage analysis. With the originally distributed simulated data, we found that 1) for microsatellite markers there are virtually no differences in types I and II error rates when parental genotypes were or were not used; 2) on average, a microsatellite marker has more power than a SNP marker does in linkage detection; 3) if parental genotype information is used, SNP markers show lower type I error rates than microsatellite markers; and 4) if parental genotypes are not available, SNP markers show considerable variation in type I error rates for different methods.
机译:遗传分析研讨会14(GAW14)的中心问题是问题,这是进行连锁分析,使用单核苷酸多态性(SNP)或微卫星标记的更好策略?为了回答这个问题,我们使用Duffy的SIB-PAIR程序分析了模拟数据,该程序可以结合父母的基因型,以及我们对受影响的同胞对连锁分析的逐个身份-逐个身份(IBS-IBD)转换方法,使用IBS和IBD之间的矩阵变换。我们方法的优点如下:不需要假设Hardy-Weinberg平衡;父母的基因型信息可能全部未知; IBS及其相关的IBD转换均可用于链接分析; IBS-IBD转换矩阵的决定因素提供了连锁分析中标记质量的定量度量。利用原始分布的模拟数据,我们发现:1)对于微卫星标记,当使用或不使用亲本基因型时,I型和II型错误率实际上没有差异; 2)平均而言,微卫星标记在连锁检测中比SNP标记具有更大的能力; 3)如果使用亲本基因型信息,则SNP标记的I型错误率低于微卫星标记;和4)如果没有亲本基因型,则SNP标记在不同方法的I型错误率中会显示出很大的差异。

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