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Record W4416374013 · doi:10.14785/lymphosign-2025-0007

Phenotypic and genetic characterization of heterozygous <i>FOXN1</i> variants: a case series of mild immunodeficiency

2025· article· en· W4416374013 on OpenAlexaffvenue
Yue Du, Andrew Wong-Pack, Rae Brager, Pranesh Chakraborty, Jenny Garkaby

Bibliographic record

VenueLymphoSign Journal · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicFOXO transcription factor regulation
Canadian institutionsUniversity of OttawaChildren's Hospital of Eastern OntarioMcMaster University Medical CentreMcMaster University
Fundersnot available
KeywordsProbandImmunodeficiencyOtitisSanger sequencingSevere combined immunodeficiencyPhenotypeCompound heterozygosityExome sequencing

Abstract

fetched live from OpenAlex

Background: FOXN1 belongs to the Foxhead-box (FOX) family of transcription factors and is fundamental for the successful development of T cells in the thymus. Homozygous pathogenic variants in the FOXN1 gene are associated with a severe combined immunodeficiency (SCID) phenotype. In contrast, individuals carrying a heterozygous single pathogenic variant in FOXN1 demonstrate a less severe phenotype. Patients described thus far can present with frequent mild respiratory infections and associated T cell lymphopenia that has been shown to improve with age. We present three patients with heterozygous variants in FOXN1 presenting with a mild clinical phenotype. Methods: Informed consent was obtained from patients and families. Case data was compiled retrospectively from the patients’ medical charts. Genetic testing used an augmented exome slice of 251 genes implicated in inborn errors of immunity, with Sanger backfill of select genes. Case presentation: Probands P1 and P2 are two unrelated pediatric patients identified by a positive newborn screen for SCID. P3 is the father of P2. All were found to have heterozygous pathogenic variants in FOXN1. In P1 and P2, laboratory investigations revealed T cell lymphopenia on initial bloodwork. Lymphopenia improved with age. A surveillance approach was taken to manage both pediatric patients, based on local experience with similar presentations, and both have done well thus far. Aside from a typical number of minor infections including common upper respiratory tract illnesses and otitis media, neither child had infections requiring hospitalizations or IV antibiotics. Additionally, P1 and P2 tolerated live viral vaccines. P3 had a history of 1 severe dental infection but had otherwise been well prior to diagnosis, and since. Conclusion: With the increasing implementation of newborn screening, patients with heterozygous pathogenic variants in FOXN1 are increasingly identified. No clear care pathway has been established. Our cases add to the growing body of literature in presenting a cohort of patients with heterozygous pathogenic FOXN1 variants whose phenotype indicates mild, self-resolving infections despite T cell lymphopenia. It will be important to identify and follow these patients longitudinally to consider recommendation of a surveillance approach if appropriate, and to provide guidance to affected families regarding the trajectory of this condition. Statement of novelty: Heterozygous FOXN1 deficiency is currently an insufficiently understood condition, and its optimal management continues to be unclear. We present 2 case reports of children for whom a surveillance approach was taken successfully. Additionally, we describe a healthy adult who was found to have a heterozygous variant later in life.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.006
GPT teacher head0.212
Teacher spread0.205 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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