Generalized partial linear varying multi-index coeflcient model for gene-environment interactions | |
Liu, Xu2; Gao, Bin1; Cui, Yuehua1 | |
刊名 | STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY
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2017-03 | |
卷号 | 16期号:1页码:59-74 |
关键词 | B-spline backfitting generalized likelihood ratio kernel smoothing single index model varying coefficient model |
ISSN号 | 2194-6302 |
DOI | 10.1515/sagmb-2016-0045 |
英文摘要 | Epidemiological studies have suggested the joint effect of simultaneous exposures to multiple environments on disease risk. However, how environmental mixtures as a whole jointly modify genetic effect on disease risk is still largely unknown. Given the importance of gene-environment (GxE) interactions on many complex diseases, rigorously assessing the interaction effect between genes and environmental mixtures as a whole could shed novel insights into the etiology of complex diseases. For this purpose, we propose a generalized partial linear varying multi-index coefficient model (GPLVMICM) to capture the genetic effect on disease risk modulated by multiple environments as a whole. GPLVMICM is semiparametric in nature which allows different index loading parameters in different index functions. We estimate the parametric parameters by a profile procedure, and the nonparametric index functions by a B-spline backfitted kernel method. Under some regularity conditions, the proposed parametric and nonparametric estimators are shown to be consistent and asymptotically normal. We propose a generalized likelihood ratio (GLR) test to rigorously assess the linearity of the interaction effect between multiple environments and a gene, while apply a parametric likelihood test to detect linear GxE interaction effect. The finite sample performance of the proposed method is examined through simulation studies and is further illustrated through a real data analysis. |
WOS研究方向 | Biochemistry & Molecular Biology ; Mathematical & Computational Biology ; Mathematics |
语种 | 英语 |
出版者 | WALTER DE GRUYTER GMBH |
WOS记录号 | WOS:000396007900005 |
内容类型 | 期刊论文 |
源URL | [http://10.2.47.112/handle/2XS4QKH4/1025] ![]() |
专题 | 上海财经大学 |
通讯作者 | Cui, Yuehua |
作者单位 | 1.Michigan State Univ, Dept Stat & Probabil, E Lansing, MI 48824 USA; 2.Shanghai Univ Finance & Econ, Sch Stat & Management, Shanghai 200433, Peoples R China |
推荐引用方式 GB/T 7714 | Liu, Xu,Gao, Bin,Cui, Yuehua. Generalized partial linear varying multi-index coeflcient model for gene-environment interactions[J]. STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY,2017,16(1):59-74. |
APA | Liu, Xu,Gao, Bin,&Cui, Yuehua.(2017).Generalized partial linear varying multi-index coeflcient model for gene-environment interactions.STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY,16(1),59-74. |
MLA | Liu, Xu,et al."Generalized partial linear varying multi-index coeflcient model for gene-environment interactions".STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY 16.1(2017):59-74. |
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