Accommodating missingness in environmental measurements in gene-environment interaction analysis

doi:10.1002/gepi.22055

CORC > 上海财经大学 > 上海财经大学

	Accommodating missingness in environmental measurements in gene-environment interaction analysis
	Wu, Mengyun 1,2; Zang, Yangguang 2,3; Zhang, Sanguo 3; Huang, Jian 4; Ma, Shuangge 2
刊名	GENETIC EPIDEMIOLOGY
	2017-09
卷号	41 期号:6 页码:523-554
关键词	G-E interaction missing data prognosis data augmentation penalized estimation
ISSN号	0741-0395
DOI	10.1002/gepi.22055
英文摘要	For the prognosis of complex diseases, beyond the main effects of genetic (G) and environmental (E) factors, gene-environment (G-E) interactions also play an important role. Many approaches have been developed for detecting important G-E interactions, most of which assume that measurements are complete. In practical data analysis, missingness in E measurements is not uncommon, and failing to properly accommodate such missingness leads to biased estimation and false marker identification. In this study, we conduct G-E interaction analysis with prognosis data under an accelerated failure time (AFT) model. To accommodate missingness in E measurements, we adopt a nonparametric kernel-based data augmentation approach. With a well-designed weighting scheme, a nice byproduct is that the proposed approach enjoys a certain robustness property. A penalization approach, which respects the main effects, interactions hierarchy, is adopted for selection (of important interactions and main effects) and regularized estimation. The proposed approach has sound interpretations and a solid statistical basis. It outperforms multiple alternatives in simulation. The analysis of TCGA data on lung cancer and melanoma leads to interesting findings and models with superior prediction.
WOS研究方向	Genetics & Heredity ; Mathematical & Computational Biology
语种	英语
出版者	WILEY
WOS记录号	WOS:000407806800005
内容类型	期刊论文
源URL	[http://10.2.47.112/handle/2XS4QKH4/907]
专题	上海财经大学
通讯作者	Ma, Shuangge
作者单位	1.Shanghai Univ Finance & Econ, Sch Stat & Management, Shanghai, Peoples R China; 2.Yale Univ, Dept Biostat, New Haven, CT 06520 USA; 3.Univ Chinese Acad Sci, Sch Math Sci, Beijing, Peoples R China; 4.Univ Iowa, Dept Stat & Actuarial Sci, Iowa City, IA 52242 USA
推荐引用方式 GB/T 7714	Wu, Mengyun,Zang, Yangguang,Zhang, Sanguo,et al. Accommodating missingness in environmental measurements in gene-environment interaction analysis[J]. GENETIC EPIDEMIOLOGY,2017,41(6):523-554.
APA	Wu, Mengyun,Zang, Yangguang,Zhang, Sanguo,Huang, Jian,&Ma, Shuangge.(2017).Accommodating missingness in environmental measurements in gene-environment interaction analysis.GENETIC EPIDEMIOLOGY,41(6),523-554.
MLA	Wu, Mengyun,et al."Accommodating missingness in environmental measurements in gene-environment interaction analysis".GENETIC EPIDEMIOLOGY 41.6(2017):523-554.