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- Title
A new statistical approach to combining p-values using gamma distribution and its application to genome-wide association study.
- Authors
Zhongxue Chen; Yang, William; Qingzhong Liu; Yang, Jack Y.; Jing Li; Qu Yang, Mary
- Abstract
Background: Combining information from different studies is an important and useful practice in bioinformatics, including genome-wide association study, rare variant data analysis and other set-based analyses. Many statistical methods have been proposed to combine p-values from independent studies. However, it is known that there is no uniformly most powerful test under all conditions; therefore, finding a powerful test in specific situation is important and desirable. Results: In this paper, we propose a new statistical approach to combining p-values based on gamma distribution, which uses the inverse of the p-value as the shape parameter in the gamma distribution. Conclusions: Simulation study and real data application demonstrate that the proposed method has good performance under some situations.
- Subjects
BIOINFORMATICS; GENOMICS; DATA analysis; GAMMA distributions; STATISTICAL models
- Publication
BMC Bioinformatics, 2014, Vol 15, Issue Suppl 17, p1
- ISSN
1471-2105
- Publication type
Article
- DOI
10.1186/1471-2105-15-S17-S3