Learn R Programming

MixMAP

This package contains functions to implement the MixMAP algorithm, which performs gene level tests of association using data from a previous GWAS or data from a meta-analysis of several GWAS. Conceptually, genes are detected as significant if the collection of p-values within a gene are determined to be collectively smaller than would be observed by chance.

The function mixmapPI implements the version of MixMAP described in Foulkes et al. 2013. However, the function mixmapTest implements an updated version of MixMAP that is less sensitive to the number of SNPs within a gene. Therefore, we suggest using mixmapTest rather than mixmapPI.

Copy Link

Version

Install

install.packages('MixMAP')

Monthly Downloads

36

Version

1.3.4

License

GPL-3

Maintainer

Gregory J Matthews

Last Published

August 10th, 2015

Functions in MixMAP (1.3.4)

Plot

Method for creating a MixManhattan plot.
MixMAP-package

MixMAP: Mixed Modeling of Meta-Analysis P-values
MixMAP_example

A working example of the MixMAP algorithm.
MixMAP-class

MixMAP-class
Summary

Summary of a MixMAP object
mixmapTest

Implements the MixMAP algorithm using hypothesis testing framework.
mixmapPI

Implements the MixMAP algorithm using prediction intervals.