Journal article
Statistical tests of genetic association for case-control study designs
Biostatistics (Oxford, England), Vol.13(4), pp.724-733
09/2012
DOI: 10.1093/biostatistics/kxs002
PMID: 22389176
Abstract
The central theme in case-control genetic association studies is to efficiently identify genetic markers associated with trait status. Powerful statistical methods are critical to accomplishing this goal. A popular method is the omnibus Pearson's chi-square test applied to genotype counts. To achieve increased power, tests based on an assumed trait model have been proposed. However, they are not robust to model misspecification. Much research has been carried out on enhancing robustness of such model-based tests. An analysis framework that tests the equality of allele frequency while allowing for different deviation from Hardy-Weinberg equilibrium (HWE) between cases and controls is proposed. The proposed method does not require specification of trait models nor HWE. It involves only 1 degree of freedom. The likelihood ratio statistic, score statistic, and Wald statistic associated with this framework are introduced. Their performance is evaluated by extensive computer simulation in comparison with existing methods.
Details
- Title: Subtitle
- Statistical tests of genetic association for case-control study designs
- Creators
- Kai Wang - Department of Biostatistics, University of Iowa, Iowa City, IA 52242, USA. kai-wang@uiowa.edu
- Resource Type
- Journal article
- Publication Details
- Biostatistics (Oxford, England), Vol.13(4), pp.724-733
- DOI
- 10.1093/biostatistics/kxs002
- PMID
- 22389176
- NLM abbreviation
- Biostatistics
- ISSN
- 1465-4644
- eISSN
- 1468-4357
- Publisher
- England
- Language
- English
- Date published
- 09/2012
- Academic Unit
- Biostatistics
- Record Identifier
- 9983997478502771
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