Literature DB >> 18355390

A note on allelic tests in case-control association studies.

M Guedj1, G Nuel, B Prum.   

Abstract

This paper reconsiders the relevant contribution of Sasieni in the validity of allele-based tests in case-control genetic association studies. In particular, the author clearly demonstrates that the classical chi-square test applied to allelic contingency tables is biased when the combined case-control population is not in Hardy-Weinberg equilibrium. As an alternative, he suggests using the Cochran-Armitage test for trends by basing his argument on the fact that these two tests are asymptotically equivalent at the Hardy-Weinberg equilibrium. However he only demonstrates the equality of the statistics when the observed genotypic proportions are strictly in equilibrium--which does not formally imply the suggested, and often accepted, asymptotic behavior. In this short communication, we complement this contribution by providing the proof that allelic and trend statistics are asymptotically equivalent under the conditions mentioned above. In addition, since the 'biased' allelic test is still widely used in the literature, we briefly discuss the different alternatives that have been subsequently developed, based on Sasieni's conclusions.

Mesh:

Year:  2008        PMID: 18355390     DOI: 10.1111/j.1469-1809.2008.00438.x

Source DB:  PubMed          Journal:  Ann Hum Genet        ISSN: 0003-4800            Impact factor:   1.670


  13 in total

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2.  Can the allelic test be retired from analysis of case-control association studies?

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Journal:  Ann Hum Genet       Date:  2008-07-24       Impact factor: 1.670

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Authors:  Sang Mee Lee; Theodore G Karrison; Nancy J Cox; Hae Kyung Im
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6.  Utilizing population controls in rare-variant case-parent association tests.

Authors:  Yu Jiang; Glen A Satten; Yujun Han; Michael P Epstein; Erin L Heinzen; David B Goldstein; Andrew S Allen
Journal:  Am J Hum Genet       Date:  2014-05-15       Impact factor: 11.025

7.  Improving power for rare-variant tests by integrating external controls.

Authors:  Seunggeun Lee; Sehee Kim; Christian Fuchsberger
Journal:  Genet Epidemiol       Date:  2017-06-28       Impact factor: 2.135

8.  Semiparametric Allelic Tests for Mapping Multiple Phenotypes: Binomial Regression and Mahalanobis Distance.

Authors:  Arunabha Majumdar; John S Witte; Saurabh Ghosh
Journal:  Genet Epidemiol       Date:  2015-10-23       Impact factor: 2.135

9.  Pearson's test, trend test, and MAX are all trend tests with different types of scores.

Authors:  Gang Zheng; Jungnam Joo; Yaning Yang
Journal:  Ann Hum Genet       Date:  2009-01-23       Impact factor: 1.670

10.  Testing allele homogeneity: the problem of nested hypotheses.

Authors:  Rafael Izbicki; Victor Fossaluza; Ana Gabriela Hounie; Eduardo Yoshio Nakano; Carlos Alberto de Bragança Pereira
Journal:  BMC Genet       Date:  2012-11-23       Impact factor: 2.797

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