GlobalLipids2013.GWASsnps

A list of the univariate GWAS significant SNPs from
the GlobalLipids2013 dataset to be used in the second introductory 
bmass vignette.

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

GlobalLipids2013.GWASsnps function

A data frame with 157 rows and 2 variables:<dl class="dl-horizontal">
 <dt>Chr</dt><dd>chromosome</dd>
 <dt>BP</dt><dd>basepair position</dd>
</dl>

Format

GlobalLipids2013 GWAS SNPs — GlobalLipids2013.GWASsnps

A data frame with 157 rows and 2 variables:<dl class='dl-horizontal'>
 <dt>Chr</dt><dd>chromosome</dd>
 <dt>BP</dt><dd>basepair position</dd>
</dl>

GlobalLipids2013.GWASsnps: GlobalLipids2013 GWAS SNPs

Description

Arguments

Format