Utilization of next-generation sequencing to define the role of heterozygous FOXN1 variants in immunodeficiency
Bibliographic record
Abstract
Background Forkhead box protein N1 (FOXN1) transcription factor plays an essential role in the development of thymic epithelial cells, required for T-cell differentiation, maturation, and function. Biallelic pathogenic variants in FOXN1 cause severe combined immunodeficiency (SCID). More recently, heterozygous variants in FOXN1, identified by restricted gene panels, were also implicated with causing a less severe and variable immunodeficiency. Objective We undertook longitudinal follow-up and advanced genetic investigations, including whole exome sequencing and whole genome sequencing, of newborns with a heterozygous variant in FOXN1. Methods Five patients (3 female, 2 male) have been followed since they were first detected with low T-cell receptor excision circles during newborn screening for SCID. Patients underwent immune evaluation as well as genetic testing, including a primary immunodeficiency panel, whole exome sequencing, and whole genome sequencing in some cases. Results Median follow-up time was 6.5 years. Initial investigations revealed low CD3 + T lymphocytes in all patients. One patient presented with extremely low lymphocyte counts and depressed phytohemagglutinin responses leading to a tentative diagnosis of SCID. Over a period of 2 years, CD3 + T-cell counts rose, although in some patients it remained borderline low. One of 5 children continues to experience recurrent upper respiratory infections and asthma episodes. The remaining are asymptomatic except for eczema in 2 of 5 cases. Lymphocyte proliferation responses to phytohemagglutinin were initially low in 3 patients but normalized by age 10 months. In 3 of 5 cases, T lymphocyte counts remain low/borderline low. Conclusion In cases of monoallelic FOXN1 variants, using whole exome sequencing and whole genome sequencing to rule out possible other significant pathogenic variants allowed us to proceed with confidence in a conservative manner, even in extreme cases consistent with newborn screen–positive early presentation of SCID.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".