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 publicly available R package “Rassoc” and some existing R functions. Guidelines for single-marker analysis are provided.
Key WordsAdditive Association ANOVA Binary trait Case–control design Dominant Genetic model Genotype relative risks MAX3 Mode of inheritance Penetrance Rassoc Recessive Quantitative trait Robustness
- 11.Zheng G, Freidlin B, Gastwirth JL (2006) Comparison of robust tests for genetic association using case-control studies. In: Rojo J (ed) Optimality: the second Eric L. Lehmann Symposium, IMS Lecture Notes-Monograph Series. Institute of Mathematical Statistics, Beachwood, OhioGoogle Scholar