Visualise,
explore,
convey.

Discover interaction effects with the MiRANA network visualisation tool.

Designed for Mendelian Randomisation in Genetic Epidemiology and Psychology

Learn more Enter tool >
About MiRANA

This MR Automatic Network Arranger (MiRANA) tool is intended to help researchers visualise, explore and convey patterns of interactions between traits in Mendelian Randomisation (MR) analyses. This is the first tool for visualising MR estimates as networks.

Create a graph in three steps:

  1. Store MR estimates in a table (.csv file)
  2. Upload the file to the tool
  3. Click generate graph
Customisation
User-friendly interface allows you to format and re-arrange the graph without needing to know any code.

Open source
This open-source project (code ) was developed by the Dynamic Genetics lab group at the University of Bristol School of Psychological Science and the Medical Research Council's (MRC) Integrative Epidemiology Unit (IEU).
Licensed under the GNU General Public License v3.0

Card image cap
Gallery

View examples of MiRANA visualisations of MR estimates.

Getting started

Please ensure that your data is a spreadsheet file (.csv) formatted exactly like the example below (default output from the mr method in R). Check out our Wiki user guide for more help.

id.exposure id.outcome outcome exposure method nsnp b se pval
1018 1189 OCD Well-being Wald ratio 1 1 1.78 0.89
1018 1239 Education Well-being Wald ratio 1 -0.37 0.0089 4.39E-05

Enter tool

Gallery

Visualisations made with MiRANA.

Card image cap
External integration

MiRANA was designed to be used in external data visualisation applications. The underlying framework is highly customisable and has support for interactive visualisation. It is pictured here powering a data visualisation game.

Featured in this game
Get in touch if you are interested in using MiRANA visualisations for your own projects.
Card image cap
Observational data

An arrangement of observational estimates, correlations, between factors related to bilingualism and cognition.

Data from this paper
Tip: Check 'observational data' and use a different data structure to display observational data.
Card image cap
Academic style preset

A style preset with a DAG-like appearance and journal compliant font. Style presets are available to make formatting MiRANA visualisations even faster.

Data from this study
Tip: You can choose a font to be compliant with journals.
Card image cap
Clinical style preset

A style preset with a focussed design and clinical color scheme. This is another available in-tool style preset.

Tip: Use colors to emphasise positive and negative effects.
Card image cap
Industrial style preset

A commercial style preset highlighting positive effects; makes formatting MiRANA visualisations even faster.

Tip: Experiment to see whether placing nodes in the middle or to the right is best for your visualisation.
Card image cap
Designer style preset

A stylised design preset available to make formatting MiRANA visualisations even faster.

Tip: Color theory can help to decide which colors complement eachother.
Card image cap
Pathways

An arragement of behavioural and personal factors demonstrates a path-like relationship between variables.

Tip: Upload data with short and clear trait names.
Card image cap
Absence of relationships

Similar to a DAG, the absence of a line between nodes can be used to illustrate where relationships were found, and where they were not.

Tip: Arrange lonely nodes (with no links) first or they might get hidden.
Card image cap
Related tree

An arrangement of estimates which form a branching and collapsing tree centered around one node.

Tip: Arrange nodes so that edges do not obscure their labels.
Card image cap
Three estimates

An arrangement of estimates suggesting that schizophrenia causes three different traits, without any other interactions or bi-directional associations.

Tip: Upload only the data you want visualised.
Card image cap
Mixed effects

Some traits have a mix of effects and it can be helpful to visually seperate out the positive and negative effects.

Tip: Click and drag to re-arrange nodes.
Card image cap
Massive networks

A massively interactive network of mental health, wellbeing and behavioural factors.

Tip: Zoom into the page to capture small details with a screenshot.
Return to the top