A novel model for the X-chromosome inactivation association on survival data

doi:10.1177/0962280219859037

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	A novel model for the X-chromosome inactivation association on survival data
	Han, Dongxiao 1; Hao, Meiling 2; Qu, Lianqiang 3; Xu, Wei 4,5
	2020-05-01
发表期刊	STATISTICAL METHODS IN MEDICAL RESEARCH
ISSN	0962-2802
卷号	29 期号:5 页码:1305-1314
摘要	The X-linked genetic association is overlooked in most of the genetic studies because of the complexity of X-chromosome inactivation process. In fact, the biological process of the gene at the same locus can vary across different subjects. Besides, the skewness of X-chromosome inactivation is inherently subject-specific (even tissue-specific within subjects) and cannot be accurately represented by a population-level parameter. To tackle this issue, a new model is proposed to incorporate the X-linked genetic association into right-censored survival data. The novel model can present that the X-linked genes on different subjects may go through different biological processes via a mixed distribution. Further, a random effect is employed to describe the uncertainty of the biological process for every subject. The proposed method can derive the probability for the escape of X-chromosome inactivation and derive the unbiased estimates of the model parameters. The Legendre-Gauss Quadrature method is used to approximate the integration over the random effect. Finite sample performance of this method is examined via extensive simulation studies. An application is illustrated with the implementation on a cancer genetic study with right-censored survival data.
关键词	Cox model genetic association test frailty model right-censored survival data X-chromosome association X-chromosome inactivation
DOI	10.1177/0962280219859037
收录类别	SCI
语种	英语
WOS研究方向	Health Care Sciences & Services ; Mathematical & Computational Biology ; Medical Informatics ; Mathematics
WOS类目	Health Care Sciences & Services ; Mathematical & Computational Biology ; Medical Informatics ; Statistics & Probability
WOS记录号	WOS:000532393100003
出版者	SAGE PUBLICATIONS LTD
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/51409
专题	中国科学院数学与系统科学研究院
通讯作者	Hao, Meiling; Xu, Wei
作者单位	1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China 2.Univ Int Business & Econ, Sch Stat, Beijing, Peoples R China 3.Cent China Normal Univ, Sch Math & Stat, Wuhan, Peoples R China 4.Princess Margaret Canc Ctr, Dept Biostat, Toronto, ON, Canada 5.Univ Toronto, Dalla Lana Sch Publ Hlth, Toronto, ON, Canada
推荐引用方式 GB/T 7714	Han, Dongxiao,Hao, Meiling,Qu, Lianqiang,et al. A novel model for the X-chromosome inactivation association on survival data[J]. STATISTICAL METHODS IN MEDICAL RESEARCH,2020,29(5):1305-1314.
APA	Han, Dongxiao,Hao, Meiling,Qu, Lianqiang,&Xu, Wei.(2020).A novel model for the X-chromosome inactivation association on survival data.STATISTICAL METHODS IN MEDICAL RESEARCH,29(5),1305-1314.
MLA	Han, Dongxiao,et al."A novel model for the X-chromosome inactivation association on survival data".STATISTICAL METHODS IN MEDICAL RESEARCH 29.5(2020):1305-1314.