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Record W4225166183 · doi:10.1101/2022.04.26.22274147

Missense variants in the voltage sensing and pore domain of <i>KCNH5</i> cause neurodevelopmental phenotypes including epilepsy

2022· preprint· en· W4225166183 on OpenAlexaff
Hannah C. Happ, Lynette G. Sadleir, Matthew Zemel, Guillem de Valles‐Ibáñez, Michael S. Hildebrand, Allyn McConkie‐Rosell, Halie May, Tristan T. Sands, Vimla S. Aggarwal, Christopher Elder, Timothy Feyma, Allan Bayat, Rikke S. Møller, Christina Fenger, Jens Erik Nielsen, Anita Datta, Kathleen M. Gorman, Mary D. King, Natália D. Linhares, Barbara K. Burton, Andrea Paras, Sian Ellard, Julia Rankin, Anju Shukla, Purvi Majethia, Rory J. Olson, Karthik Muthusamy, Lisa A. Schimmenti, Keith Starnes, Lucie Sedláčková, Katalin Štěrbová, Markéta Vlčková, Petra Laššuthová, Alena Jahodová, Brenda E. Porter, Nathalie Couque, Estelle Colin, Clément Prouteau, Corinne Collet, Thomas Smol, Roseline Caumes, Fleur Vansenne, Francesca Bisulli, Laura Licchetta, Richard Person, Erin Torti, Kirsty McWalter, Richard Webster, Gaëtan Lesca, Pierre Szepetowski, Ingrid E. Scheffer, Heather C. Mefford, Gemma L. Carvill

Bibliographic record

VenuemedRxiv · 2022
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Rare Diseases
Canadian institutionsUniversity of British Columbia
FundersNational Human Genome Research InstituteNational Heart, Lung, and Blood InstituteStanley Center for Psychiatric Research, Broad InstituteNational Institutes of HealthBroad Institute
KeywordsMissense mutationEpilepsyExome sequencingCohortIntellectual disabilityPhenotypeMedicineExomeNeurodevelopmental disorderPediatricsGeneticsBioinformaticsBiologyInternal medicinePsychiatryGene

Abstract

fetched live from OpenAlex

Abstract Objective KCNH5 encodes the voltage-gated potassium channel EAG2/Kv10.2. We aimed to delineate the neurodevelopmental and epilepsy phenotypic spectrum associated with de novo KCNH5 variants. Methods We screened 893 individuals with developmental and epileptic encephalopathies (DEEs) for KCNH5 variants using targeted or exome sequencing. Additional individuals with KCNH5 variants were identified through an international collaboration. Clinical history, EEG, and imaging data were analyzed; seizure types and epilepsy syndromes were classified. We included three previously published individuals including additional phenotypic details. Results We report a cohort of 17 patients, including nine with a recurrent de novo missense variant p.Arg327His, four with a recurrent missense variant p.Arg333His, and four additional novel missense variants. All variants were located in or near the functionally critical voltage-sensing or pore domains, absent in the general population, and classified as pathogenic or likely pathogenic using American College of Medical Genetics and Genomics (ACMG) criteria. All individuals presented with epilepsy with a median seizure onset at six months. They had a wide range of seizure types, including focal and generalized seizures. Cognitive outcomes ranged from normal intellect to profound impairment. Individuals with the recurrent p.Arg333His variant had a self-limited drug-responsive focal or generalised epilepsy and normal intellect, while the recurrent p.Arg327His variant was associated with infantile-onset DEE. Two individuals with variants in the pore-domain were more severely affected, with neonatal-onset DEE, profound disability, and childhood death. Conclusions We report the first cohort of 17 individuals with pathogenic or likely pathogenic missense variants in the voltage sensing and pore domains of Kv10.2, including 14 previously unreported individuals. We present evidence for a putative emerging genotype-phenotype correlation with a spectrum of epilepsy and cognitive outcomes. Overall, we expand the role of EAG proteins in human disease and establish KCNH5 as implicated in a spectrum of neurodevelopmental disorders (NDDs) and epilepsy.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.258
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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