KMS Of Academy of mathematics and systems sciences, CAS
A powerful test for ordinal trait genetic association analysis | |
Xue, Yuan1,2; Wang, Jinjuan3; Ding, Juan4; Zhang, Sanguo1,2; Li, Qizhai3![]() | |
2019-04-01 | |
Source Publication | STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY
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ISSN | 2194-6302 |
Volume | 18Issue:2Pages:9 |
Abstract | Response selective sampling design is commonly adopted in genetic epidemiologic study because it can substantially reduce time cost and increase power of identifying deleterious genetic variants predispose to human complex disease comparing with prospective design. The proportional odds model (POM) can be used to fit data obtained by this design. Unlike the logistic regression model, the estimated genetic effect based on POM by taking data as being enrolled prospectively is inconsistent. So the power of resulted Wald test is not satisfactory. The modified POM is suitable to fit this type of data, however, the corresponding Wald test is not optimal when the genetic effect is small. Here, we propose a new association test to handle this issue. Simulation studies show that the proposed test can control the type I error rate correctly and is more powerful than two existing methods. Finally, we applied three tests to Anticyclic Citrullinated Protein Antibody data from Genetic Workshop 16. |
Keyword | ordinal response power proportional odds model response selective sampling |
DOI | 10.1515/sagmb-2017-0066 |
Language | 英语 |
Funding Project | Beijing Natural Science Foundation[Z180006] ; National Science Foundation of China[11722113] ; National Science Foundation of China[11501134] |
WOS Research Area | Biochemistry & Molecular Biology ; Mathematical & Computational Biology ; Mathematics |
WOS Subject | Biochemistry & Molecular Biology ; Mathematical & Computational Biology ; Statistics & Probability |
WOS ID | WOS:000463667100002 |
Publisher | WALTER DE GRUYTER GMBH |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/34459 |
Collection | 系统科学研究所 |
Corresponding Author | Li, Qizhai |
Affiliation | 1.Univ Chinese Acad Sci, Sch Math Sci, Beijing, Peoples R China 2.Chinese Acad Sci, Key Lab Big Data Min & Knowledge Management, Beijing, Peoples R China 3.Chinese Acad Sci, Acad Math & Syst Sci, LSC, NCMIS, Zhongguancun East Rd 55, Beijing 100190, Peoples R China 4.Guangxi Normal Univ, Sch Math & Stat, Guilin, Peoples R China |
Recommended Citation GB/T 7714 | Xue, Yuan,Wang, Jinjuan,Ding, Juan,et al. A powerful test for ordinal trait genetic association analysis[J]. STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY,2019,18(2):9. |
APA | Xue, Yuan,Wang, Jinjuan,Ding, Juan,Zhang, Sanguo,&Li, Qizhai.(2019).A powerful test for ordinal trait genetic association analysis.STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY,18(2),9. |
MLA | Xue, Yuan,et al."A powerful test for ordinal trait genetic association analysis".STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY 18.2(2019):9. |
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