A novel model for the X-chromosome inactivation association on survival data
Han, Dongxiao4; Hao, Meiling1; Qu, Lianqiang5; Xu, Wei2,3
刊名STATISTICAL METHODS IN MEDICAL RESEARCH
2020-05-01
卷号29期号:5页码:1305-1314
关键词Cox model genetic association test frailty model right-censored survival data X-chromosome association X-chromosome inactivation
ISSN号0962-2802
DOI10.1177/0962280219859037
英文摘要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.
WOS研究方向Health Care Sciences & Services ; Mathematical & Computational Biology ; Medical Informatics ; Mathematics
语种英语
出版者SAGE PUBLICATIONS LTD
WOS记录号WOS:000532393100003
内容类型期刊论文
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/51408]  
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.Univ Int Business & Econ, Sch Stat, Beijing, Peoples R China
2.Princess Margaret Canc Ctr, Dept Biostat, Toronto, ON, Canada
3.Univ Toronto, Dalla Lana Sch Publ Hlth, Toronto, ON, Canada
4.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China
5.Cent China Normal Univ, Sch Math & Stat, Wuhan, Peoples R China
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.
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