title: A new statistical approach to combining p-values using gamma distribution and its application to genome-wide association study.
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.
authors.forename: Zhongxue
authors.initials: Z
authors.lastname: Chen
authors.forename: William
authors.initials: W
authors.lastname: Yang
authors.forename: Qingzhong
authors.initials: Q
authors.lastname: Liu
authors.forename: Jack Y
authors.initials: JY
authors.lastname: Yang
authors.forename: Jing
authors.initials: J
authors.lastname: Li
authors.forename: Mary
authors.initials: M
authors.lastname: Yang
mesh_terms: D016022:Case-Control Studies; D003198:Computer Simulation; D055106:Genome-Wide Association Study; D006801:Humans; D015233:Models, Statistical