Conserved patterns across ion channels correlate with variant pathogenicity and clinical phenotypes
Tobias Brünger, Eduardo Pérez‐PalmaiD, Ludovica MontanucciiD, Michael NothnageliD, Rikke Steensbjerre MølleriD, Stéphanie SchorgeiD, Sameer M. ZuberiiD, Joseph D. SymondsiD, Johannes R. LemkeiD, Andreas BrunklausiD, Stephen F. TraynelisiD, Patrick MayiD, Dennis LaliD
Abstract
Clinically identified genetic variants in ion channels can be benign or cause disease by increasing or decreasing the protein function. Consequently, therapeutic decision-making is challenging without molecular testing of each variant. Our biophysical knowledge of ion channel structures and function is just emerging, and it is currently not well understood which amino acid residues cause disease when mutated. We sought to systematically identify biological properties associated with variant pathogenicity across all major voltage and ligand-gated ion channel families. We collected and curated 3,049 pathogenic variants from hundreds of neurodevelopmental and other disorders and 12,546 population variants for 30 ion channel or channel subunits for which a high-quality protein structure was available. Using a wide range of bioinformatics approaches, we computed 163 structural features and tested them for pathogenic variant enrichment. We developed a novel 3D spatial distance scoring approach that enables comparisons of pathogenic and population variant distribution across protein structures. We discovered and independently replicated that several pore residue properties and proximity to the pore axis were most significantly enriched for pathogenic variants compared to population variants. Using our novel 3D scoring approach, we showed that the strongest pathogenic variant enrichment was observed for pore-lining residues and alpha-helix residues within 5[A] distance from the pore axis center and not involved in gating. Within the subset of residues located at the pore, the hydrophobicity of the pore was the feature most strongly associated with variant pathogenicity. We also found an association between the identified properties and both clinical phenotypes and fucntional in vitro assays for voltage-gated sodium channels (SCN1A, SCN2A, SCN8A) and N-methyl-D-aspartate (NMDA) receptor (GRIN1, GRIN2A, GRIN2B) encoding genes. In an independent expert-curated dataset of 1,422 neurodevelopmental disorder pathogenic patient variants, and 679 electrophysiological experiments that pore axis distance is associated with seizure age of onset and cognitive performance as well as differential gain vs. loss-of-channel function. In summary, we identified biological properties associated with ion-channel malfunction and show that these are correlated with in vitro functional read-outs and clinical phenotypes in patients with neurodevelopmental disorders. Our results suggest that clinical decision support algorithms that predict variant pathogenicity and function are feasible in the future.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 29
- FWCI
- 3.92
- Field percentile
- top 5%
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Optimizing clinical interpretability of functional evidence in epilepsy-related ion channel variants
Shridhar Parthasarathy, Stacey R. Cohen, … Ingo Helbig·bioRxiv·May 9, 2024
- Mapping Structural Distribution and Gating-Property Impacts of Disease-Associated Missense Mutations in Voltage-Gated Sodium Channels
A. Akbari Ahangar, E. Elhanafy, … J. Li·bioRxiv·Sep 20, 2023
- Functional Effect Predictions For Ion Channel Missense Variants Using a Protein Language Model
Seán Gies, Artoghrul Alishbayli, … Marijn Bart Martens·Journal of Human GeneticsPeer-reviewed·Jun 22, 2026
- Predicting Functional Effects of Missense Variants in Voltage-Gated Sodium and Calcium Channels
Henrike Heyne, David Báez-Nieto, … Mark J. Daly·Science Translational MedicinePeer-reviewed·Aug 12, 2020
- Learning with phenotypic similarity improves the prediction of functional effects of missense variants in voltage-gated sodium channels
Christian M. Boßelmann, Ulrike B. S. Hedrich, … Nico Pfeifer·bioRxiv·Sep 29, 2022
- Framework for combined functional and computational assessment of variant pathogenicity in the sodium leak channel NALCN
Claudia Weidling, H. Harms, … Stephan Alexander Pless·bioRxiv·Sep 15, 2025