KCNQ2 Portal alpha (last updated 26th, February, 2026)

Welcome to the interactive website for families, clinicians, and researchers working to better understand KCNQ2-related disorders!

53 Individuals
Source: Potashman et al., 2025
51 Phenotypes
80 Individuals
Source: Cossu et al., 2023
39 Phenotypes
73 Individuals
Source: Citizen Health
150 Phenotypes
39 Individuals
Source: UT Health Study
114 Phenotypes

Latest news for the community

  • Visit the KCNQ2 Cure Alliance website for the latest community news; the organization supports the development of the KCNQ2 Portal.

  • Access the latest KCNQ2 related publications here.

Interested in other Genes?

Explore our other tools at the Lal Research Group website!

KCNQ2-Related Disorders: Clinical Overview

KCNQ2-related disorders encompass a spectrum of neonatal-onset epileptic and developmental phenotypes. At the mild end is self-limited familial neonatal epilepsy (SLFNE) , while at the severe end is KCNQ2-related neonatal onset developmental and epileptic encephalopathy (KCNQ2-DEE) . Increasing evidence suggests that clinical presentation is partly determined by the functional effect of the variant, with both loss-of-function (LoF) and gain-of-function (GoF) mechanisms recognized.

SLFNE typically begins with seizures at 2–8 days of life after a brief seizure-free period and remits spontaneously within the first year. Neurodevelopment and EEG outcomes are generally normal. Seizures are usually focal tonic, sometimes with clonic evolution, and about 30% later develop febrile, focal, or generalized seizures.

KCNQ2 neonatal-onset DEE KCNQ2 neonatal-onset developmental and epileptic encephalopahty (KCNQ2-DEE) is most commonly caused by LoF variants. However, GoF variants are now recognized as an important and distinct disease mechanism that can produce overlaping but clinically different presentations.

Loss-of-Function (LoF)–Associated Phenotype: Typically presents within the first days of life with frequent focal tonic seizures, often with apnea and oxygen desaturation. Seizures are usually reftractory and associated with encephalopathy , abnormal interictal EEG with burst-suppression , and transient MRI changes in the basals ganglia or thalamus . Affected infants show profound developmental impairment with hypotonia, severe motor and speech disability. Although seizure frequency often decreases over time, many individuals continue to require long-term supporive care.

Gain-of-Function (GoF)-Associated Phenotype: Gain-of-function KCNQ2 variants have been increasingly recognized in patients presenting with neonatal encephalopathy accompanied by severe developmental impairment and hypotonia. Movement abnormalities, such as non-epileptic myoclonus or dyskinesia, can be prominent features. Epilepsy may be less prominent or may develop later during infancy, and in some individuals, the degree of developmental impairment appears greater than expected based on seizure severity.

KCNQ2 Genotype to Phenotype

KCNQ2-related conditions occur when a brain channel that normally helps regulate neuronal excitability does not function properly. If the channel is underactive, affected individuals may experience seizures shortly after birth, which can range from mild to severe. If the channel is overactive, neonatal seizures typically do not occur, but developmental challenges may emerge later in childhood. These can include cognitive delays, impairments in language or motor function, or, in some cases, autism spectrum disorder.

For further details, see:

Clinical Summary of KCNQ2-related Disorders

Study title: Understanding lived experiences with KCNQ2 developmental and epileptic encephalopathy.
For additional information, refer to original paper by [Potashman et al., 2025]

This study investigated parents and healthcare professionals reported outcomes in KCNQ2 DEE. 53 parents of affected children and two healthcare professionals with expertise in KCNQ2-DEE participated in in-depth interviews. Note that eight parents out of 53 didn't answer the question.

Source: This natural history study used electronic health records (EHRs) from 73 patients with KCNQ2-related disorders, collected by Citizen Health. The study gathered comprehensive clinical information from their medical records, including demographics, diagnostic history, developmental milestones, genetic findings, treatments etc.
Refer to Citizen Health resources: Here

Note: The data shown here include all individuals in the KCNQ2 cohort and are not separated by mutation type or clinical subgroup.
Loading...
Discover how to customize variant classifications by exploring our tutorial.

About KCNQ2 Portal

The KCNQ2 Portal is a coalition of investigators seeking to aggregate and harmonize data generated to study KCNQ2-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:

  • Providing information on KCNQ2-related disorders
  • Supporting research on KCNQ2-related disorders
  • Facilitating recruitment of individuals to the global KCNQ2 registries

  • Providing support in variant interpretation and classification
  • Visualizing data from the global KCNQ2 registries
  • Linking researchers, clinicians and families

The KCNQ2 Portal is an ongoing project of the scientific community in collaboration with KCNQ2 Cure Alliance. Interested collaborators are invited to reach out to join the project. All data on this site are fully de-identified and shown only in aggregate. The current datasets presented are provided by Citizen Health, UTHealth Houston, Potashamn et al., 2025 and Cossu et al., 2023. We’re continuously expanding the platform and plan to add new datasets from patient registries, advocacy groups, and clinical research teams. If you have data to share or would like to collaborate, please contact us.

Team Leaders

Dennis Lal (Arlington/Fort Worth, Texas (USA)): General concept, web development, bioinformatics, video production

Scotty Sims (Denver, Colorado (USA)): CEO KCNQ2 Cure Alliance

Brooke Babineau (Denver, Colorado (USA)): Science Director KCNQ2 Cure Alliance

Clinical & Genetic Data

Citizen Health

Mariana Fauteux : UTHealth REDCap survey & consent

Sunanjay Bajaj : UTHealth REDCap survey & consent

Christian Malte Boßelmann : Functional data/prediction

Holger Lerche : Functional data/prediction

Nico Pfeifer : Functional data/prediction

Web Development & Bioinformatics

Suyeon Kim

Tobias Brünger

Marie Mcnee

Chiara Klöckner

Community Outreach

Scotty Sims

Terms of Use

All data presented here are publicly available 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 work currently underway by our team. Further, we request that you actively acknowledge and give attribution to the KCNQ2 Portal project, and link back to the relevant page, wherever possible. All users of our data agree to not attempt to reidentify participants. Our data set has been subjected to extensive quality control, but may be imperfect so errors may remain. If you spot any results that seem impossible, or have suggestions for KCNQ2 Portal improvements:

Contact us that we can improve.

Data Generation

Data has been curated in a community effort.