A Prevalence-based Association Test for Case-control Studies

被引:16
|
作者
Ryckman, Kelli K. [1 ,2 ]
Jiang, Lan [1 ]
Li, Chun [1 ,3 ]
Bartlett, Jacquelaine [1 ]
Haines, Jonathan L. [1 ,4 ]
Williams, Scott M. [1 ,4 ]
机构
[1] Vanderbilt Univ, CHGR, Nashville, TN 37232 USA
[2] Vanderbilt Univ, Div Cardiovasc Med, Nashville, TN 37232 USA
[3] Vanderbilt Univ, Dept Biostat, Nashville, TN 37232 USA
[4] Vanderbilt Univ, Dept Mol Physiol & Biophys, Nashville, TN 37232 USA
基金
美国国家卫生研究院;
关键词
case-control studies; Hardy-Weinberg equilibrium; association testing;
D O I
10.1002/gepi.20342
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Genetic association is often determined in case-control studies by the differential distribution of alleles or genotypes. Recent work has demonstrated that association can also be assessed by deviations from the expected distributions of alleles or genotypes. Specifically, multiple methods motivated by the principles of Hardy-Weinberg equilibrium (HWE) have been developed. However, these methods do not take into account many of the assumptions of HWE. Therefore, we have developed a prevalence-based association test (PRAT) as an alternative method for detecting association in case-control studies. This method, also motivated by the principles of HWE, uses an estimated population allele frequency to generate expected genotype frequencies instead of using the case and control frequencies separately. Our method often has greater power, under a wide variety of genetic models, to detect association than genotypic, allelic or Cochran-Armitage trend association tests. Therefore, we propose PRAT as a powerful alternative method of testing for association. Genet. Epidemiol. 32:600-605, 2008. (C) 2008 Wiley-Liss, Inc.
引用
收藏
页码:600 / 605
页数:6
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