Skip to content

Latest commit

 

History

History

ShinyApp

Folders and files

NameName
Last commit message
Last commit date

parent directory

..
Images
Images
 
 
data
data
 
 
rsconnect/shinyapps.io/ncolaian
rsconnect/shinyapps.io/ncolaian
 
 
src
src
 
 
.DS_Store
.DS_Store
 
 
README.md
README.md
 
 
app.R
app.R
 
 
backend_functions.R
backend_functions.R
 
 
backend_functions_pvalue-cwc-fast.R
backend_functions_pvalue-cwc-fast.R
 
 
backend_functions_pvalue-cwc-fast_DONOTUSE.R
backend_functions_pvalue-cwc-fast_DONOTUSE.R
 
 
backend_functions_pvalue-cwc.R
backend_functions_pvalue-cwc.R
 
 
backend_functions_pvalue.R
backend_functions_pvalue.R
 
 
getMetabPathway.R
getMetabPathway.R
 
 
getMetabPathway_DONOTUSE.R
getMetabPathway_DONOTUSE.R
 
 
pig-face.png
pig-face.png
 
 
plotFunctions.R
plotFunctions.R
 
 
server.R
server.R
 
 
subset_cad_forTesting.sh
subset_cad_forTesting.sh
 
 
testdata.tsv
testdata.tsv
 
 
ui.R
ui.R
 
 

README.md

Go to the main README

Web interface for MR BACOn

INPUTS

The user will need to select three inputs from drop-down menus:

  1. Metabolite of interest
  2. Tissue in which metabolite-SNP association data was collected
  3. Outcome of interest (Currently only Coronary Artery Disease)

Inputs

OUTPUTS

The user will be able to view three plots:

  1. MR-tests plot: This plot will provide the user with confidence intervals of overall effect sizes calculated by 5 Mendelian randomisation tests for their sizes for their metabolite and outcome.
  2. Funnel plot: This plots the effect sizes of each SNPs to their inverse of their standard errors and overlays the effect size calculated by MR Egger and Inverse variance weighted.
  3. Forest plot: This plot will provide confidence intervals for individual SNPs.

Users will be able to download their plots as png images and download the data as a CSV file.

Output Plots