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amodelembeddedtrendtestwithincorporatinghardyweinbergequilibriuminformation
Hu Xiaonan1; Duan Xiaogang2; Pan Dongdong3; Zhang Sanguo1; Li Qizhai4
2017
Source Publicationjournalofsystemsscienceandcomplexity
ISSN1009-6124
Volume30Issue:1Pages:101
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.
Language英语
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/42207
Collection系统科学研究所
Affiliation1.中国科学院大学
2.北京师范大学
3.云南大学
4.中国科学院数学与系统科学研究院
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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