Jlfdr: Controlling the Joint Local False Discovery Rate in Joint Analysis of Summary Statistics from Multiple GWASs
About Jlfdr |
In genome-wide association studies (GWASs) of common diseases/traits, we often analyze multiple GWASs with the same phenotype together to discover associated genetic variants with higher power. Since it is diffcult to access data with detailed individual
measurements, summary-statistics-based meta-analysis methods have become popular to jointly analyze data sets from multiple GWASs.
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Related Publication |
W. Jiang and W. Yu "Controlling the joint local false discovery rate is more powerful than meta-analysis methods in joint analysis of summary statistics from multiple genome-wide association studies", submitted. |
Where to download Jlfdr |
The R-package is available at : |
Environment configuration |
It can be directly installed in the R environment with following command: |
Use the following command to load the package in the R environment: library("Jlfdr") |
How to use it? |
The principal component of Jlfdr package is FdrControl2. Also we implement a Fdr controlling method BayesFdr for single-study analysis. |