Single Marker Association Analysis for Unrelated Samples

  • Gang Zheng
  • Ao Yuan
  • Qizhai Li
  • Joseph L. Gastwirth
Part of the Methods in Molecular Biology book series (MIMB, volume 1666)


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.

Key Words

Additive Association ANOVA Binary trait Case–control design Dominant Genetic model Genotype relative risks MAX3 Mode of inheritance Penetrance Rassoc Recessive Quantitative trait Robustness 


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Copyright information

© Springer Science+Business Media LLC 2017

Authors and Affiliations

  • Gang Zheng
  • Ao Yuan
    • 1
  • Qizhai Li
    • 2
  • Joseph L. Gastwirth
    • 3
  1. 1.Department of Biostatistics, Bioinformatics and BiomathematicsGeorgetown UniversityWashington, DCUSA
  2. 2.Academy of Mathematics and Systems Science, Chinese Academy of SciencesBeijingChina
  3. 3.Department of StatisticsGeorge Washington UniversityWashington, DCUSA

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