<scp><i>SCYL1</i></scp> disease and liver transplantation diagnosed by reanalysis of exome sequencing and deletion/duplication analysis of <scp><i>SCYL1</i></scp>
Bibliographic record
Abstract
SCYL1 disease results from biallelic pathogenic variants in SCYL1. We report two new patients with severe hepatic phenotype requiring liver transplantation. Patient charts reviewed. DNA samples and skin fibroblasts were utilized. Literature was reviewed. 13-year-old boy and 9-year-old girl siblings had acute liver insufficiency and underwent living related donor liver transplantation in infancy with no genetic diagnosis. Both had tremor, global developmental delay, and cognitive dysfunction during their follow-up in the medical genetic clinic for diagnostic investigations after their liver transplantation. Exome sequencing identified a likely pathogenic variant (c.399delC; p.Asn133Lysfs*136) in SCYL1. Deletion/duplication analysis of SCYL1 identified deletions of exons 7-8 in Patient 1. Both variants were confirmed in Patient 2 and the diagnosis of SCYL1 disease was confirmed in both patients at the age of 13 and 9 years, respectively. SCYL1 protein was not expressed in both patients' fibroblast using western blot analysis. Sixteen patients with SCYL1 disease reported in the literature. Liver phenotype (n = 16), neurological phenotype (n = 13) and skeletal phenotype (n = 11) were present. Both siblings required liver transplantation in infancy and had variable phenotypes. Exome sequencing may miss the diagnosis and phenotyping of patients can help to diagnose patients.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".