对非亲缘样本进行单标记关联分析。
Single marker association analysis for unrelated samples.
作者信息
Zheng Gang, Xu Jinfeng, Yuan Ao, Gastwirth Joseph L
机构信息
Office of Biostatistics Research, National Heart, Lung and Blood Institute, Bethesda, MD, USA.
出版信息
Methods Mol Biol. 2012;850:347-58. doi: 10.1007/978-1-61779-555-8_18.
Methods for single marker association analysis are presented for binary and quantitative traits. For a binary trait, we focus on the analysis of retrospective case-control data using Pearson's chi-squared test, the trend test, and a robust test. For a continuous trait, typical methods are based on a linear regression model or the analysis of variance. We illustrate how these tests can be applied using a public available R package "Rassoc" and some existing R functions. Guidelines for choosing these test statistics are provided.
本文介绍了用于二元性状和定量性状的单标记关联分析方法。对于二元性状，我们重点使用Pearson卡方检验、趋势检验和稳健检验来分析回顾性病例对照数据。对于连续性状，典型方法基于线性回归模型或方差分析。我们说明了如何使用一个公开可用的R包“Rassoc”和一些现有的R函数来应用这些检验。还提供了选择这些检验统计量的指导原则。
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