Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-1-61779-555-8_18
Title: Single marker association analysis for unrelated samples
Authors: Zheng, G.
Xu, J. 
Yuan, A.
Gastwirth, J.L.
Keywords: Additive
ANOVA
Association
Binary trait
Case-control design
Dominant
Genetic model
Genotype relative risks
MAX3
Mode of inheritance
Penetrance
Quantitative trait
Rassoc
Recessive
Robustness
Issue Date: 2012
Source: Zheng, G.,Xu, J.,Yuan, A.,Gastwirth, J.L. (2012). Single marker association analysis for unrelated samples. Methods in Molecular Biology 850 : 347-358. ScholarBank@NUS Repository. https://doi.org/10.1007/978-1-61779-555-8_18
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 public available R package "Rassoc" and some existing R functions. Guidelines for choosing these test statistics are provided. © 2012 Springer Science+Business Media, LLC.
Source Title: Methods in Molecular Biology
URI: http://scholarbank.nus.edu.sg/handle/10635/105369
ISBN: 9781617795541
ISSN: 10643745
DOI: 10.1007/978-1-61779-555-8_18
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