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Updated: Aug 30, 2025

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
Published on: January 16, 2019
Conserved patterns across ion channels correlate with variant pathogenicity and clinical phenotypes
Tobias Brünger1, Eduardo Pérez-Palma2, Ludovica Montanucci3
1Cologne Center for Genomics, University of Cologne, 50931 Cologne, Germany.
Abstract:
Clinically identified genetic variants in ion channels can be benign or cause disease by increasing or decreasing the protein function. As a consequence, 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 3049 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 3D scoring approach, we showed that the strongest pathogenic variant enrichment was observed for pore-lining residues and alpha-helix residues within 5Å distance from the pore axis centre 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 functional in vitro assays for voltage-gated sodium channels (SCN1A, SCN2A, SCN8A) and N-methyl-D-aspartate receptor (GRIN1, GRIN2A, GRIN2B) encoding genes. In an independent expert-curated dataset of 1422 neurodevelopmental disorder pathogenic patient variants and 679 electrophysiological experiments, we show that pore axis distance is associated with seizure age of onset and cognitive performance as well as differential gain versus 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 readouts 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.
Insights
Genetic variants in ion channels can cause disease, but predicting their impact is difficult. This study identifies key structural properties, particularly near the pore, associated with disease-causing variants, aiding future diagnostic tools.
Area of Science:
- Genetics and Molecular Biology
- Structural Biology
- Biophysics
Background:
- Genetic variants in ion channels can lead to disease by altering protein function.
- Predicting the pathogenicity of ion channel variants is challenging due to limited understanding of structure-function relationships.
- Systematic identification of variant properties linked to pathogenicity is needed for clinical decision-making.
Purpose of the Study:
- To systematically identify biological properties associated with variant pathogenicity across major ion channel families.
- To develop and apply a novel 3D spatial distance scoring approach for variant analysis.
- To correlate identified properties with clinical phenotypes and functional assays.
Main Methods:
- Curated large datasets of pathogenic and population variants for 30 ion channel subunits with available structures.
- Computed 163 structural features and tested for pathogenic variant enrichment.
- Developed a 3D spatial distance scoring method to compare variant distributions.
- Validated findings using independent datasets and expert-curated data.
Main Results:
- Pore residue properties and proximity to the pore axis are significantly enriched in pathogenic variants.
- Strongest enrichment observed for pore-lining and alpha-helix residues near the pore axis.
- Pore hydrophobicity is strongly associated with variant pathogenicity.
- Identified properties correlate with clinical phenotypes (e.g., seizure onset) and in vitro functional assays.
Conclusions:
- Biological properties associated with ion channel malfunction have been identified.
- These properties correlate with in vitro functional readouts and patient clinical phenotypes.
- Future clinical decision support algorithms for variant pathogenicity prediction are feasible.
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