A new statistical approach to combining p-values using gamma distribution and its application to genome-wide association study

作者：Chen Zhongxue^*; Yang William; Liu Qingzhong; Yang Jack Y; Li Jing; Yang Mary Qu

来源：BMC Bioinformatics, 2014, 15(Suppl 17): S3.

DOI：10.1186/1471-2105-15-S17-S3

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. %26lt;br%26gt;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. %26lt;br%26gt;Conclusions: Simulation study and real data application demonstrate that the proposed method has good performance under some situations.

• 出版日期2014-12-16