MixMAP-class

A data.frame containing posterior estimates for all genes, as well as other associated gene level information.

output

A numeric vector containing the number of genes detected and the total number of genes.

num.genes.detected

A data.frame containing information on the detected genes.  This includes the posterior estimate, variance, and upper bound of the prediction interval fo all genes.  Other gene level information that is included is the gene location including chromosome a

detected.genes

A mer object containing all of the model output information, including parameter estimates, from the lmer function.

lmer.out

Objects of class MixMAP are returned as output from the function MixMAP.

Genetics

mixed models

GWAS

This function implements 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.

MixMAP-class: MixMAP-class

Description

Arguments

Examples