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Hu Xiaonan1; Duan Xiaogang2; Pan Dongdong3; Zhang Sanguo1; Li Qizhai4
Source Publicationjournalofsystemsscienceandcomplexity
AbstractThe genetic models are greatly important in the analysis of genetic epidemiologic studies and many of the studies are conducted using the trend test under the additive model. However, for many complex diseases and traits, the underlying genetic model for a genetic locus is usually uncertain. So a robust test free of genetic model is appropriate. In this paper, the authors propose a model-embedded trend test by incorporating Hardy-Weinberg equilibrium information and obtain the explicit formula to calculate its statistical significance. Extensive simulation studies show the proposed test is more robust than the existing procedures. Finally, a real application is further analyzed to show the performance of the proposed test.
Document Type期刊论文
Recommended Citation
GB/T 7714
Hu Xiaonan,Duan Xiaogang,Pan Dongdong,et al. amodelembeddedtrendtestwithincorporatinghardyweinbergequilibriuminformation[J]. journalofsystemsscienceandcomplexity,2017,30(1):101.
APA Hu Xiaonan,Duan Xiaogang,Pan Dongdong,Zhang Sanguo,&Li Qizhai.(2017).amodelembeddedtrendtestwithincorporatinghardyweinbergequilibriuminformation.journalofsystemsscienceandcomplexity,30(1),101.
MLA Hu Xiaonan,et al."amodelembeddedtrendtestwithincorporatinghardyweinbergequilibriuminformation".journalofsystemsscienceandcomplexity 30.1(2017):101.
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