GABA-Portal version 1.0 (last updated: July 15th, 2026)

Welcome to the interactive website for families, clinicians, and researchers dedicated to advancing understanding of GABAA receptor-related disorders.

Individuals
Genetic variants
Functionally tested variants

Latest news for the community

  • Access the latest GABAAR-related publications here.

Interested in other genes?

Visit our other Gene Portals!

What is new in this update?

  • Improved Clinical Overview landing page
  • Detailed gene-specific clinical pages.
  • Improved Variant Classification layout.
  • Functional prediction tool available (GENTLY).
Discover how to customize variant classifications by exploring our tutorial.




...and many more! Please contact us if you would like your organization to be listed here.

How to analyse your variant

Portal version 1.0

The GABA-Portal is a coalition of investigators seeking to aggregate and harmonize data generated to study GABAAR-related disorders, and to make summary data interactively accessible for the wider scientific community, while providing educational resources for everyone. The goals of this project are to:

  • Provide information on GABAAR-related disorders

  • Support research on GABAAR-related disorders

  • Facilitate recruitment of individuals to research studies

  • Provide support in variant interpretation and classification

  • Visualize data from the GABAAR database

  • Connect researchers, clinicians and families


The GABA-Portal is an ongoing project and interested collaborators are invited to reach out to join the project. The current version of the Portal has been developed by an international team of researchers and clinicians:

Team Leaders

Rikke Møller (Dianalund, DK): Clinical & genetic data

Sebastian Ortiz (Dianalund, DK): Clinical & genetic data

Philip K. Ahring (Sydney, AUS): High-throughput functional data

Dennis Lal (Arlington, TX, US): General concept, web development, bioinformatics

Clinical & Genetic Data

Rikke S. Møller

Sebastian Ortiz

Katrine M. Johannesen

Nazanin A. Mohammadi

Leonardo Affronte

Chiara Bagliani

Molecular Data

Philip K. Ahring

Nathan L. Absalom

Vivian W.Y. Liao

Susan X.N. Lin

Serene El-Kamand

Anthony S.H. Kan

Web Development

Rebekka Dahl

Tobias Brünger

Suyeon Kim

Bioinformatics

Rebekka Dahl

Tobias Brünger

Christian Boßelmann

Eduardo Perez-Palma

Impressum

We object to any commercial use and disclosure of data.

Copyright and use: The authors grants you the right of use to make a private copy for personal purposes. However, you are not entitled to change and/or pass on the materials or publish them yourself. Upon request, you will receive free information about the personal data stored about you. To do so, please contact the administrator.

No liability: The contents of this web project have been carefully checked and created to the best of our knowledge. But for the information presented here is no claim to completeness, timeliness, quality and accuracy. No responsibility can be accepted for any damage caused by reliance on or use of the contents of this website.

Terms of Use

All data here are publicly for the benefit of the wider biomedical community. You can freely explore the data, and we encourage the use and publication of results generated from these data. However, we encourage you to contact us before embarking on analyses to check if your proposed analysis overlaps with our team's current work. Further, we request that you actively acknowledge and give attribution to the GABA-Portal project and link back to the relevant page, wherever possible. All users of our data agree not to attempt to reidentify participants. Our data set has been subjected to extensive quality control but may be imperfect so that errors may remain.
If you spot any results that seem impossible or have suggestions for GABA-Portal improvements: contact us so that we can improve.

© 2026