Clinical Validity of Autosomal Dominant <i>ALPK3</i> Loss-of-function Variants as a Cause of Hypertrophic Cardiomyopathy
Bibliographic record
Abstract
Abstract ALPK3 encodes the protein α-kinase 3, an essential cardiac-enriched atypical a-kinase that inserts in the nuclear envelope and the sarcomere M-band of cardiac myocytes, functioning to aid in myosin-mediated force buffering and sarcomere proteostasis. Previously, bi-allelic loss-of-function ALPK3 variants have been reported causative in a severe paediatric phenotype including hypertrophic (HCM) and dilated cardiomyopathy (DCM). Very few heterozygous carries in these cases express any cardiac phenotype. However, recently studies have reported heterozygous loss-of-function ALPK3 variants causative of HCM. In this research letter we present a patient series of 29 cardiac patients (26 probands) with heterozygous putative loss-of-function ALPK3 variants without another causative variant in other definitive HCM genes. As well as, a ClinGen gene curation assessing the clinical validity of the gene-disease association of ALPK3 for autosomal dominant HCM, which was evaluated to be strong. With reduced penetrance compared to other HCM genes and issues with historic genetic reports using a superseded transcript care needs to be taken when interpreting these variants to account for these nuances.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".