KMS Of Academy of mathematics and systems sciences, CAS
| A novel model for the X-chromosome inactivation association on survival data | |
| Han, Dongxiao1; Hao, Meiling2; Qu, Lianqiang3; Xu, Wei4,5 | |
| 2020-05-01 | |
| Source Publication | STATISTICAL METHODS IN MEDICAL RESEARCH
 |
| ISSN | 0962-2802 |
| Volume | 29Issue:5Pages:1305-1314 |
| Abstract | 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. |
| Keyword | Cox model genetic association test frailty model right-censored survival data X-chromosome association X-chromosome inactivation |
| DOI | 10.1177/0962280219859037 |
| Indexed By | SCI |
| Language | 英语 |
| WOS Research Area | Health Care Sciences & Services ; Mathematical & Computational Biology ; Medical Informatics ; Mathematics |
| WOS Subject | Health Care Sciences & Services ; Mathematical & Computational Biology ; Medical Informatics ; Statistics & Probability |
| WOS ID | WOS:000532393100003 |
| Publisher | SAGE PUBLICATIONS LTD |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/51409 |
| Collection | 中国科学院数学与系统科学研究院 |
| Corresponding Author | Hao, Meiling; Xu, Wei |
| Affiliation | 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 |
| Recommended Citation 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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