RFdr: Jointly determining significance levels for primary and replication studies in two-stage GWASs
In genome-wide association studies (GWASs), we normally discover associations between genetic variants and diseases/traits through the primary study, and validate findings through the replication study. We consider the associations showing significance
in both studies as true findings. An important question under this two-stage setting is how do we determine the significance levels in both studies? In traditional methods, we determine significance levels of the primary and replication
studies separately. We argue that this separate determination strategy will reduce the power in the overall two-stage study.
|W. Jiang, and W. Yu
"Jointly determining significance levels for primary and replication studies by controlling the false discovery rate in two-stage genome-wide association studies. ",
|Where to download RFdr
It can be directly installed in the R environment with following command:
Use the following command to load the package in the R environment:
|How to use it?
The principal component of RFdr package is RFdrControl.