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Features include sometimes findings: Prolonged QT interval, Syncope, and Sudden cardiac death; and rarely findings: Sinus bradycardia. 5 total HPO annotations.
Organ System | Phenotype Count | Example Features |
|---|---|---|
Heart and blood vessels | 3 | Atrial fibrillation, Sudden cardiac death, Sinus bradycardia |
ANK2 encodes ankyrin 2 (3,957 aa). Plays an essential role in the localization and membrane stabilization of ion transporters and ion channels in several cell types, including cardiomyocytes, as well as in striated muscle cells. Highest expression in Brain Cerebellum (96.7 TPM) and Brain Cerebellar Hemisphere (95.2 TPM).
Cardiac arrhythmia, ankyrin-B-related is associated with mutations in the ANK2 gene on chromosome 4.
ANK2 is classified as a druggable target (Ion Channel and Transporter categories) with score 1.4.
Genetic testing for ANK2 is available. Testing is considered confirmatory for diagnosis.
No clinical trials have been registered for cardiac arrhythmia, ankyrin-B-related.
4 publications have been identified in PubMed for cardiac arrhythmia, ankyrin-B-related. Research spans Review / Meta-Analysis (25%), Case Report / Case Series (25%), and Clinical Trial Publication (25%).
Maroofian R (2025). [PMID: 40879451](https://pubmed.ncbi.nlm.nih.gov/40879451/). *Movement disorders : official journal of the Movement Disorder Society*. [Clinical Trial Publication]
Guo L (2025). [PMID: 39867173](https://pubmed.ncbi.nlm.nih.gov/39867173/). *Reviews in cardiovascular medicine*. [Review / Meta-Analysis]
Lin PH (2025). [PMID: 39962910](https://pubmed.ncbi.nlm.nih.gov/39962910/). *Epilepsia open*. [Case Report / Case Series]
Malhotra N (2025). [PMID: 40866040](https://pubmed.ncbi.nlm.nih.gov/40866040/). *JACC. Basic to translational science*. [Gene Therapy / Novel Therapeutics]
Data assembled from 5 of 12 sources · Last updated Sep 20, 2026, 12:29 PM UTC
Online Mendelian Inheritance in Man
Genetic and Rare Diseases Info Center
AI-curated news mentioning cardiac arrhythmia, ankyrin-B-related
Updated Sep 11, 2026
A new study presents a hybrid feature engineering framework aimed at improving resource-efficient arrhythmia detection in electrocardiogram signals. This interpretable approach enhances the separability of arrhythmia types, potentially advancing diagnostic capabilities.
A multi-survey study evaluates the accessibility of essential antiarrhythmic drugs globally, highlighting significant access and supply challenges. The findings underscore the need for improved distribution strategies to enhance patient care.
A new study introduces a mamba-based prototypical contrastive learning approach for classifying both common and rare arrhythmias. This research could enhance diagnostic accuracy and treatment strategies for these heart conditions.