bmass_SimulatedSigSNPs

A manually created list of GWAS significant SNPs to be
used in conjunction with 'bmass_SimulatedData1' and 'bmass_SimulatedData2'.

data

Multivariate tool for analyzing genome-wide association
study results in the form of univariate summary statistics. The
goal of 'bmass' is to comprehensively test all possible multivariate
models given the phenotypes and datasets provided. Multivariate
models are determined by assigning each phenotype to being either
Unassociated (U), Directly associated (D) or Indirectly associated
(I) with the genetic variant of interest. Test results for each model
are presented in the form of Bayes factors, thereby allowing direct
comparisons between models. The underlying framework implemented
here is based on the modeling developed in "A Unified Framework
for Association Analysis with Multiple Related Phenotypes",
M. Stephens (2013) <doi:10.1371/journal.pone.0065245>.

Michael Turchin

bmass

Bayesian Multivariate Analysis of Summary Statistics

Matthew Stephens

Peter Carbonetto

bmass_SimulatedSigSNPs function

A data frame with 2 rows and 2 variables:<dl class="dl-horizontal">
 <dt>Chr</dt><dd>chromosome</dd>
 <dt>BP</dt><dd>basepair position</dd>
</dl>

Format

bmass Simulated GWAS SNPs — bmass_SimulatedSigSNPs

A data frame with 2 rows and 2 variables:<dl class='dl-horizontal'>
 <dt>Chr</dt><dd>chromosome</dd>
 <dt>BP</dt><dd>basepair position</dd>
</dl>

bmass_SimulatedSigSNPs: bmass Simulated GWAS SNPs

Description

Arguments

Format