首页> 外文期刊>Annals of Human Genetics >Comparison of statistical power between 2 * 2 allele frequency and allele positivity tables in case-control studies of complex disease genes.
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Comparison of statistical power between 2 * 2 allele frequency and allele positivity tables in case-control studies of complex disease genes.

机译:复杂疾病基因病例对照研究中2 * 2等位基因频率和等位基因阳性表之间的统计功效比较。

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In case-control studies of complex disease genes, allele frequencies or allele positivities at candidate loci or markers are compared between cases and controls. Although 2 x 2 contingency tables based on allele frequency and allele positivity are generally used to perform simple statistical tests (e.g. a comparison of two proportions and a chi2 test), little is known about the difference in power between the two tables. In this study, we investigated the number of subjects required to obtain a power of 1-beta with a significance level of alpha for the allele frequency and allele positivity tables. A large difference in the required number of subjects was found between the two tables. Allele positivity tables were suitable for the detection of susceptibility alleles showing a dominant mode of inheritance (MOI). On the other hand, allele frequency tables were suitable for the identification of susceptibility alleles showing a recessive MOI or a multiplicative MOI. In the case of an additive MOI, a suitable table was determined by combining the frequency of the susceptibility allele and the penetrance. These results imply that there are cases in which true association is detected based on one contingency table and is not detected based on another. A simulation analysis revealed that the type I error rate was not much inflated under the null hypothesis of no association, even when a statistical test was performed twice using both allele frequency and allele positivity tables. In contrast, under the alternative hypothesis, the loss of power was marked when a test was performed once using an unsuitable table. In conclusion, statistical tests should be performed using both tables, without adjustment of multiplicity, in case-control studies of complex disease genes when the study objective is exploratory.
机译:在复杂疾病基因的病例对照研究中,在病例和对照之间比较候选基因座或标记处的等位基因频率或等位基因阳性。尽管通常使用基于等位基因频率和等位基因阳性的2 x 2列联表来执行简单的统计检验(例如,两个比例的比较和chi2检验),但对于这两个表之间的功效差异知之甚少。在这项研究中,我们调查了获得等位基因频率和等位基因阳性表的1-beta强度为α的显着性水平所需的受试者数量。在两个表之间发现所需的科目数量差异很大。等位基因阳性表适用于检测显示显性遗传方式(MOI)的易感性等位基因。另一方面,等位基因频率表适用于鉴定显示隐性MOI或乘法MOI的易感性等位基因。在添加MOI的情况下,通过组合易感等位基因频率和渗透率来确定合适的表格。这些结果意味着在某些情况下,根据一个意外事件表检测到了真实的关联,而没有根据另一个意外事件表检测到了真实的关联。仿真分析表明,即使没有使用等位基因频率和等位基因阳性表进行两次统计检验,在没有关联的零假设下,I型错误率也不会被夸大。相反,在另一种假设下,当使用不合适的表格进行一次测试时,会标记出功率损失。总之,在研究目标是探索性的复杂疾病基因的病例对照研究中,应使用两个表进行统计学检验,而不得调整多重性。

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