Diagnosis of <i>TET3</i>‐Related Beck–Fahrner Syndrome in an Individual With Chorioretinal and Iris Colobomata Using a <scp>DNA</scp> Methylation Signature
Bibliographic record
Abstract
Disorders of developmental delay can occur from pathogenic variants in genes responsible for epigenetic regulation. Heterozygous and biallelic pathogenic variants in TET3 have recently been described in TET3-related Beck-Fahrner syndrome (TET3-BEFAHRS), representing an autosomal dominant disorder with variable expressivity. Typical features include intellectual disability and developmental delay. Patients can also present with facial dysmorphism, seizure disorder, ophthalmic findings, and other neurobehavioral features. As the condition has recently been described and few patients have been reported in literature, the full scope of the phenotypic spectrum and approaches to identify them are still emerging. We report an individual meeting the criteria for TET3-BEFAHRS confirmed through clinical, genetic, and DNA methylation episignature analysis, who uniquely presents with bilateral chorioretinal and unilateral right iris colobomata. This case suggests a broader ophthalmic phenotype to TET3-BEFAHRS and demonstrates the utility of episignatures for the diagnosis of Mendelian disorders of epigenetic machinery.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".