A model-embedded trend test with incorporating Hardy-Weinberg equilibrium information |
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| Authors: | Xiaonan Hu Xiaogang Duan Dongdong Pan Sanguo Zhang Qizhai Li |
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| Affiliation: | 1.School of Mathematical Sciences,University of Chinese Academy of Sciences,Beijing,China;2.Key Laboratory of Big Data Mining and Knowledge Management,Chinese Academy of Sciences,Beijing,China;3.School of Statistics,Beijing Normal University,Beijing,China;4.Department of Statistics,Yunnan University,Kunming,China;5.Key Laboratory of Systems and Control, Academy of Mathematics and Systems Science,Chinese Academy of Sciences,Beijing,China |
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| Abstract: | The 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. |
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