Single marker association analysis for unrelated samples.
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.
Office of Biostatistics Research, National Heart, Lung and Blood Institute, Bethesda, MD, USA. zhengg@nhlbi.nih.gov
Gang
G
Zheng
Jinfeng
J
Xu
Ao
A
Yuan
Joseph L
JL
Gastwirth
D016022:Case-Control Studies; D056726:Genetic Association Studies; D006801:Humans; D008957:Models, Genetic; D020641:Polymorphism, Single Nucleotide; D012189:Retrospective Studies