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Single Nucleotide Polymorphism (SNP) Data Analysis by using Bootstrap Method

机译:单核苷酸多态性(SNP)通过使用引导方法进行数据分析

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In this paper it is described how to analyze SNPs data by using bootstrap method. The bootstrap method is used in case of the chi-square Q~2 statistics and the likelihood ratio statistics G~2. It is described how to use the method in case-control association studies. Simulation study is used to explore the properties of the method. Based on the original table, it can be construct a new table and related statistical value of statistics. Figure 1(a) and Figure 1(b) presents the number B = 1.000.000 statistical value of chi-square test and likelihood ratio test, respectively. The bootstrap p-values for two (original) statistical tests are 1.2 × 10~(-5) and 1.9 ×10~(-5), respectively. The described method can also be applied to the whole genome case-control association studies which uses thousands SNPs.
机译:在本文中,描述了如何使用引导方法分析SNPS数据。在Chi-Square Q〜2统计的情况下使用引导方法和似然比统计G〜2。描述如何在病例控制协会研究中使用该方法。仿真研究用于探索该方法的性质。基于原始表,它可以构建一个新表和相关统计值的统计数据。图1(a)和图1(b)分别显示了Chi-square测试和似然比测试的数量B = 1.000.000统计值。两个(原始)统计测试的引导P值分别为1.2×10〜(-5)和1.9×10〜(-5)。所描述的方法也可以应用于全基因组病例控制关联研究,该研究使用数千SNP。

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