Missense variant in <scp><i>PIGM</i></scp> associated with severe cystic encephalomalacia and portal vein thrombosis: Phenotypic and genotypic expansion of the glycosylphosphatidylinositol biosynthesis defect‐1 (<scp>GPIBD1</scp>)
Bibliographic record
Abstract
Glycosylphosphatidylinositols (GPIs) are a type of glycolipid responsible for anchoring many important proteins to the cell membrane surface. Defects in the synthesis of GPIs can lead to a group of multisystem disorders known as the inherited GPI deficiencies (IGDs). Homozygosity for the c.-270C > G variant in the promoter of PIGM has been associated with a IGD subtype known as glycosylphosphatidylinositol biosynthesis defect-1 (GPIBD1). The several cases reported in the literature have been described to have a milder neurologic phenotype in comparison to the other IGDs and have been treated with sodium phenylbutyrate with some degree of success. These patients typically present with portal and hepatic vein thrombosis and mostly develop absence seizures. Here we describe a patient homozygous for a nonsynonymous variant in PIGM who deceased at 9 weeks of life and had multiple physical dysmorphisms (rocker bottom feet, midline cleft palate, thickened and lichenified skin), portal vein thrombosis, CNS structural anomalies (progressive multicystic encephalomalacia and ventriculomegaly), and a neurological phenotype of a diffuse encephalopathy. This is the first known case report of a PIGM-related IGD/CDG due to a coding variant.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".