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作 者:HU Xiaonan DUAN Xiaogang PAN Dongdong ZHANG Sanguo LI Qizhai
机构地区:[1]School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China [2]KeyLaboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing 100190,China. [3]School of Statistics, Beijing Normal University, Beijing 100875, China. [4]Department of Statistics, Yunnan University, Kunming 650091 China [5]Key Laboratory of Systems and Control, Academy of Mathematics and Systems Science, Chinese Academy ofSciences, Beijing 100190, China.
出 处:《Journal of Systems Science & Complexity》2017年第1期101-110,共10页系统科学与复杂性学报(英文版)
基 金:partial supported by Special National Key Research and Development Plan under Grant No.2016YFD0400206;the Breakthrough Project of Strategic Priority Program of Chinese Academy of Sciences under Grant No.XDB13040600;Youth Innovation Promotion Association of Chinese Academy of Science;the National Science Foundation of China under Grant Nos.11371353,11661080,61134013;Special Fund of the University of Chinese Academy of Sciences for Scientific Research Cooperation
摘 要: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.
关 键 词:Genetic model hardy-weinberg equilibrium POWER ROBUST trend test.
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