ArticleBrain : a journal of neurology2023
Conserved patterns across ion channels correlate with variant pathogenicity and clinical phenotypes.
Article in Brain : a journal of neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 25 citations in OpenAlex.
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- The complex molecular epileptogenesis landscape of glioblastoma.Cell reports. Medicine · 2024Article
- Plural molecular and cellular mechanisms of pore domainbioRxiv : the preprint server for biology · 2024Article
- Follow the allosteric transitions to predict variant pathogenicity: a channel-specific approach.Brain : a journal of neurology · 2024Article
- Gain-of-function and loss-of-function variants in GRIA3 lead to distinct neurodevelopmental phenotypes.Brain : a journal of neurology · 2024Article
- Clinical and electrophysiological features of SCN8A variants causing episodic or chronic ataxia.EBioMedicine · 2023Article
- SLC6A1 variant pathogenicity, molecular function and phenotype: a genetic and clinical analysis.Brain : a journal of neurology · 2023Article
- Gene mutations in comorbidity of epilepsy and arrhythmia.Journal of neurology · 2023Review
- Channeling the Future of Pathogenicity Prediction for Genetic Variants in Epilepsy.Epilepsy currentsArticle
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13 authors at 9 institutions in 5 countries.
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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.
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