MixMAP-class


A <code>data.frame</code> 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 <code>data.frame</code> 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 and base pair along with the total number of SNPs within each gene (snpCount), and some summary information regarding the SNP p-values within each gene.  


detected.genes

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

lmer.out


Objects of class <code>MixMAP</code> are returned as output from the function <code>MixMAP</code>.  


 genetics

 Mixed models 

 gwas 

A collection of 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.

MixMAP-class: MixMAP-class

Description

Arguments

Examples