A Novel Intronic Variant in the <scp>KH3</scp> Domain of <scp>HNRNPK</scp> Leads to a Mild Form of Au‐Kline Syndrome
Bibliographic record
Abstract
Despite the massive adoption of sequencing technologies, disease-specific diagnosis remains challenging, particularly for genes with highly homologous pseudogenes like HNRNPK. Pathogenic HNRNPK variants cause Au-Kline syndrome (AKS), a neurodevelopmental disorder with malformations and distinctive facial features. We validated a novel de novo HNRNPK intronic variant (c.1192-3 C>A, p.Leu398ValfsTer21) in a patient previously misdiagnosed with Kabuki Syndrome (KS). By combining sequencing, in vitro splicing assays, molecular modelling, and protein function analysis, we characterised the molecular defect. A unique DNA methylation (DNAm) signature was recently identified in AKS, with missense variants showing an intermediate DNAm pattern, suggesting an epi-genotype-phenotype correlation linked to milder clinical features. The DNAm signature is a valuable tool for variant interpretation, especially in unclear AKS cases. We demonstrate that two independent approaches-functional characterisation and DNAm evaluation-confirmed a partial loss of HNRNPK function and validated an AKS diagnosis with a mild phenotype. Our findings highlight that a multidisciplinary approach integrating genomic and epigenomic analyses with functional studies and clinical assessment significantly improves rare disease diagnosis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".