Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6369141 | Journal of Theoretical Biology | 2016 | 7 Pages |
Abstract
Genetic risks and genetic models are often used in design and analysis of genetic epidemiology studies. A genetic model is defined in terms of two genetic risk measures: genotype relative risk and odds ratio. The impacts of choosing a risk measure on the resulting genetic models are studied in the power to detect association and deviation from Hardy-Weinberg equilibrium in cases using genetic relative risk. Extensive simulations demonstrate that the power of a study to detect associations using odds ratio is lower than that using relative risk with the same value when other parameters are fixed. When the Hardy-Weinberg equilibrium holds in the general population, the genetic model can be inferred by the deviation from Hardy-Weinberg equilibrium in only cases. Furthermore, it is more efficient than that based on the deviation from Hardy-Weinberg equilibrium in all cases and controls.
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Authors
Gang Zheng, Wei Zhang, Jinfeng Xu, Ao Yuan, Qizhai Li, Joseph L. Gastwirth,