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|Title:||Single marker association analysis for unrelated samples||Authors:||Zheng, G.
Genotype relative risks
Mode of inheritance
|Issue Date:||2012||Citation:||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|
|Appears in Collections:||Staff Publications|
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