A novel mutation in <i>TRAC</i> in a patient with abnormal newborn screening for severe combined immunodeficiency
Bibliographic record
Abstract
Background: The T cell receptor (TCR)-α chain plays a key role in TCR structure and function. Biallelic mutations in TRAC, encoding the constant region of the TCR-α chain, obliterates TCR expression and results in immunodeficiency. TCR-α chain deficiency presents at infancy or childhood with repeated viral and bacterial infections, enlarged liver, spleen, and lymph nodes as well as autoimmune features and lymphoma (OMIM #615387). Aim: To broaden the genotypic and phenotypic spectrum of TCR-α chain deficiency. Methods: We present a case report of a patient with severe combined immunodeficiency (SCID) due to a novel autosomal recessive mutation in TRAC. Results: Our patient was identified at 13 days of life due to abnormal T cell receptor excision circle levels detected by newborn screening (NBS). Immune evaluation revealed profound lymphopenia, depressed responses to the mitogen PHA and a skewed T cell repertoire, all consistent with SCID. The patient was found to carry a novel homozygous mutation in the TRAC gene. Conclusion: A novel homozygous mutation in the TRAC gene caused profound T cell lymphopenia and aberrant in vitro mitogenic response, the hallmarks of SCID. Statement of Novelty: TCR-α chain deficiency is a rare and relatively new condition and not very well defined. We herein report a novel mutation in TRAC resulting in SCID.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| 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".