A Novel Powerful Joint Analysis with Data Fusion in Two-stage Case-Control Genome-wide Association Studies
文献类型：期刊论文
| 作者 | Pan, Dong-Dong1; Li, Zheng-Bang2; Li, Qi-Zhai3 ; Fung, Wing Kam4
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| 刊名 | COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
 |
| 出版日期 | 2016 |
| 卷号 | 45期号:7页码:2362-2376 |
| 关键词 | Data fusion Genetic model uncertainty GWAS MAX3 Power Two-stage design |
| ISSN号 | 0361-0918 |
| DOI | 10.1080/03610918.2014.901360 |
| 英文摘要 | In genome-wide association studies (GWASs) to detect the disease-associated genetic variants, two-stage design has received much attention because of its cost effectiveness and high efficiency. Under the framework of a two-stage design, it has been shown that joint analysis is more powerful than replication-based analysis. Several robust tests have been proposed for joint analysis to handle the problem of unknown genetic mode of inheritance. However, existing joint analysis of combining test statistics from both stages might suffer from a loss of efficiency if the combined test statistics are not sufficient or the weight of the statistic for each stage is not appropriate. In this article, we propose a new strategy for joint analysis by combining the raw data rather than the test statistics across stages and construct a robust MAX3-based test for two-staged GWASs, which can make full use of the information of the data from both stages. Our numerical results show that the proposed procedure is more powerful and computationally much faster than the existing joint analysis procedures. An application to a type 2 diabetes dataset is used to illustrate the proposed approach. |
| 资助项目 | National Natural Science Foundation of China[11225103] ; National Natural Science Foundation of China[11301465] ; National Natural Science Foundation of China[11371353] ; National Natural Science Foundation of China[11401240] ; National Natural Science Foundation of China[11471135] ; National Natural Science Foundation of China[61134013] ; Youth Program of Applied Basic Research Programs of Yunnan Province[2013FD001] ; Foundation of Yunnan University[2012CG018] ; Foundation of Central China Normal University[CCNU13A05032] ; Young and Middle-aged Teachers Training Program of Yunnan University[XT412003] |
| WOS研究方向 | Mathematics |
| 语种 | 英语 |
| WOS记录号 | WOS:000379044600010 |
| 出版者 | TAYLOR & FRANCIS INC |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/23067]  |
| 专题 | 系统科学研究所 |
| 通讯作者 | Fung, Wing Kam |
| 作者单位 | 1.Yunnan Univ, Dept Stat, Kunming, Peoples R China 2.Cent China Normal Univ, Sch Math & Stat, Wuhan, Peoples R China 3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China 4.Univ Hong Kong, Dept Stat & Actuarial Sci, Hong Kong, Hong Kong, Peoples R China |
| 推荐引用方式 GB/T 7714 | Pan, Dong-Dong,Li, Zheng-Bang,Li, Qi-Zhai,et al. A Novel Powerful Joint Analysis with Data Fusion in Two-stage Case-Control Genome-wide Association Studies[J]. COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION,2016,45(7):2362-2376. |
| APA | Pan, Dong-Dong,Li, Zheng-Bang,Li, Qi-Zhai,&Fung, Wing Kam.(2016).A Novel Powerful Joint Analysis with Data Fusion in Two-stage Case-Control Genome-wide Association Studies.COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION,45(7),2362-2376. |
| MLA | Pan, Dong-Dong,et al."A Novel Powerful Joint Analysis with Data Fusion in Two-stage Case-Control Genome-wide Association Studies".COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION 45.7(2016):2362-2376. |
入库方式： OAI收割
来源：数学与系统科学研究院
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