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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 | 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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