A two-phase procedure for non-normal quantitative trait genetic association study
文献类型：期刊论文
| 作者 | Zhang, Wei1; Li, Huiyun2; Li, Zhaohai3; Li, Qizhai1
|
| 刊名 | BMC BIOINFORMATICS
 |
| 出版日期 | 2016-01-28 |
| 卷号 | 17页码:9 |
| 关键词 | Model selection Quantitative trait genetic association studies Robustness Two-phase procedure |
| ISSN号 | 1471-2105 |
| DOI | 10.1186/s12859-016-0888-x |
| 英文摘要 | Background: The nonparametric trend test (NPT) is well suitable for identifying the genetic variants associated with quantitative traits when the trait values do not satisfy the normal distribution assumption. If the genetic model, defined according to the mode of inheritance, is known, the NPT derived under the given genetic model is optimal. However, in practice, the genetic model is often unknown beforehand. The NPT derived from an uncorrected model might result in loss of power. When the underlying genetic model is unknown, a robust test is preferred to maintain satisfactory power. Results: We propose a two-phase procedure to handle the uncertainty of the genetic model for non-normal quantitative trait genetic association study. First, a model selection procedure is employed to help choose the genetic model. Then the optimal test derived under the selected model is constructed to test for possible association. To control the type I error rate, we derive the joint distribution of the test statistics developed in the two phases and obtain the proper size. Conclusions: The proposed method is more robust than existing methods through the simulation results and application to gene DNAH9 from the Genetic Analysis Workshop 16 for associated with Anti-cyclic citrullinated peptide antibody further demonstrate its performance. |
| 资助项目 | National Science Foundation of China[11371353] ; National Science Foundation of China[61134013] ; Breakthrough Project of Strategic Priority Program of the Chinese Academy of Sciences[XDB13040600] |
| WOS研究方向 | Biochemistry & Molecular Biology ; Biotechnology & Applied Microbiology ; Mathematical & Computational Biology |
| 语种 | 英语 |
| WOS记录号 | WOS:000368875700001 |
| 出版者 | BIOMED CENTRAL LTD |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/208]  |
| 专题 | 系统科学研究所 |
| 通讯作者 | Li, Huiyun |
| 作者单位 | 1.Chinese Acad Sci, Acad Math & Syst Sci, Key Lab Syst Control, Beijing 100190, Peoples R China 2.Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China 3.George Washington Univ, Dept Stat, Washington, DC 20052 USA |
| 推荐引用方式 GB/T 7714 | Zhang, Wei,Li, Huiyun,Li, Zhaohai,et al. A two-phase procedure for non-normal quantitative trait genetic association study[J]. BMC BIOINFORMATICS,2016,17:9. |
| APA | Zhang, Wei,Li, Huiyun,Li, Zhaohai,&Li, Qizhai.(2016).A two-phase procedure for non-normal quantitative trait genetic association study.BMC BIOINFORMATICS,17,9. |
| MLA | Zhang, Wei,et al."A two-phase procedure for non-normal quantitative trait genetic association study".BMC BIOINFORMATICS 17(2016):9. |
入库方式： OAI收割
来源：数学与系统科学研究院
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