A novel model for the X-chromosome inactivation association on survival data
文献类型：期刊论文
| 作者 | Han, Dongxiao1; Hao, Meiling2; Qu, Lianqiang3; Xu, Wei4,5 |
| 刊名 | STATISTICAL METHODS IN MEDICAL RESEARCH
 |
| 出版日期 | 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 |
| DOI | 10.1177/0962280219859037 |
| 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 |
| WOS记录号 | WOS:000532393100003 |
| 出版者 | SAGE PUBLICATIONS LTD |
| 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.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. |
入库方式： OAI收割
来源：数学与系统科学研究院
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