A new statistical approach to combining p-values using gamma distribution and its application to genome-wide association study.
A new statistical approach to combining p-values using gamma distribution and its application to genome-wide association study.
复制标题
DOI：
10.1186/1471-2105-15-s17-s3
复制
发表时间：
2014
影响因子：
3
通讯作者：
Yang M
中科院分区：
文献类型：
--
作者：
Chen Z;Yang W;Liu Q;Yang JY;Li J;Yang M
生物信息学研究中，整合不同研究的信息是一项重要而有用的实践，包括全基因组关联研究、罕见变异数据分析和其他基于集合的分析。已经提出了许多统计方法来组合来自独立研究的联合收割机p值。然而，众所周知，在所有情况下都不存在一致的最有效的检验;因此，找到一个在特定情况下有效的检验是重要的和可取的。在本文中，我们提出了一种新的统计方法来组合p值的伽玛分布的基础上，它使用的p值的倒数作为伽玛分布中的形状参数。仿真研究和真实的数据应用表明，该方法在某些情况下具有良好的性能。
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. 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. Simulation study and real data application demonstrate that the proposed method has good performance under some situations.