In case-control genetic association studies, the robust procedure, Pearson's Chi-square test, is commonly used for testing association between disease status and genetic markers. However, this test does not take the possible trend of relative risks, which are due to genotype, into account. On the co
A prevalence-based association test for case-control studies
✍ Scribed by Kelli K. Ryckman; Lan Jiang; Chun Li; Jacquelaine Bartlett; Jonathan L. Haines; Scott M. Williams
- Publisher
- John Wiley and Sons
- Year
- 2008
- Tongue
- English
- Weight
- 90 KB
- Volume
- 32
- Category
- Article
- ISSN
- 0741-0395
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
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. 2008. © 2008 Wiley‐Liss, Inc.
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