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Updated: Feb 21, 2026

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
Published on: November 3, 2010
Single Marker Association Analysis for Unrelated Samples
Gang Zheng, Ao Yuan1, Qizhai Li2
1Department of Biostatistics, Bioinformatics and Biomathematics, Georgetown University, 4000 Reservoir Rd. NW, Washington, DC, 20057, USA. ay312@georgetown.edu.
Abstract:
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 publicly available R package "Rassoc" and some existing R functions. Guidelines for single-marker analysis are provided.
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