Main logo
tutorial arrow
Create your own tool library
Bookmark tools and put favorites into folders to find them easily.

Meta-Analysis Gene-set Enrichment of variaNT Associations MAGENTA


A computational tool that tests for enrichment of genetic associations in predefined biological processes or sets of functionally related genes, using genome-wide genetic data as input. MAGENTA is designed to analyze datasets for which genotype data are not readily available, such as large genome-wide association study (GWAS) meta-analyses. It can be used either (i) to test a specific hypothesis or (ii) to generate hypotheses by testing a range of known biological gene sets.

User report

tutorial arrow
Vote up tools and offer feedback
Give value to tools and make your expertise visible
Give your feedback on this tool
Sign up for free to join and share with the community

0 user reviews

0 user reviews

No review has been posted.


tutorial arrow
Communicate with other users
Participate in the forum to get support for using tools. Ask questions about technical specifications.
Take part in the discussion
Sign up for free to ask question and share your advices

No open topic.

MAGENTA classification

MAGENTA specifications

Software type:
Restrictions to use:
Computer skills:
Command line interface
Operating system:

MAGENTA distribution


tutorial arrow
Upload and version your source code
Get a DOI for each update to improve tool traceability. Archive your releases so the community can easily visualize progress on your work.
Facilitate your tool traceability
Sign up for free to upload your code and get a DOI

No versioning.


tutorial arrow
Promote your skills
Define all the tasks you managed and assign your profile the appropriate badges. Become an active member.
Promote your work
Sign up for free to badge your contributorship



Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA, USA; Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA; Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA; Department of Clinical Sciences, Diabetes and Endocrinology Research Unit, University Hospital Malmö, Lund University, Malmö, Sweden; Department of Systems Biology, Harvard Medical School, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA; Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA; Department of Genetics, Harvard Medical School, Boston, MA, USA; Queensland Institute of Medical Research, QLD, Australia

Funding source(s)

This project was supported by the American Diabetes Association (Award No.: 7-08-MN-OK), the Swedish Research Council (Linne grant), the Wallenberg Foundation, the Sigrid Juselius Foundation and the American Diabetes Association/Smith Family Foundation.

Link to literature

By using OMICtools you acknowledge that you have read and accepted the terms of the end user license agreement.