基因关联研究分析中的 Cochr an - Armitage 检验与逻辑回归
Cochran-Armitage test versus logistic regression in the analysis of genetic association studies.
作者信息
Wellek Stefan, Ziegler Andreas
机构信息
Department of Biostatistics, Central Institute of Mental Health Mannheim, University of Heidelberg, Mannheim, Germany.
出版信息
Hum Hered. 2012;73(1):14-7. doi: 10.1159/000334085. Epub 2011 Dec 30.
OBJECTIVE
The Cochran-Armitage trend test based on the linear regression model has become a standard procedure for association testing in case-control studies. In contrast, the logistic regression model is generally used for estimating effect sizes. The aim of this paper is to propose an approach that allows for association testing and parameter estimation by means of the same statistic.
METHODS/RESULTS: The trend test is recommendable as a test of no association between genotype and risk of disease. It is a two-sample test for differences between cases and controls with respect to the average number of risk alleles occurring in the genotype of an individual. We argue that this difference is not of primary interest in genetic association studies. It should be replaced with the disease odds ratio, which can be assessed under both cohort sampling and case-control sampling.
CONCLUSION
The Cochran-Armitage trend test should be replaced by the Wald statistic from a logistic regression model for hypothesis testing and estimation in genetic association studies.
目的
基于线性回归模型的 Cochr an - Armitage趋势检验已成为病例对照研究中关联检验的标准程序。相比之下，逻辑回归模型通常用于估计效应大小。本文的目的是提出一种方法，该方法允许通过相同的统计量进行关联检验和参数估计。
方法/结果：趋势检验作为基因型与疾病风险之间无关联的检验是值得推荐的。它是一种两样本检验，用于检验病例组和对照组在个体基因型中出现的风险等位基因平均数量方面的差异。我们认为，这种差异在基因关联研究中并非首要关注点。应该用疾病优势比来取代它，疾病优势比在队列抽样和病例对照抽样中均可评估。
结论
在基因关联研究的假设检验和估计中， Cochr an - Armitage趋势检验应由逻辑回归模型的Wald统计量取代。
Zotero 插件