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Record W2051222858 · doi:10.14785/lpsn-2014-0022

Monocytosis in a patient with a novel <i>GATA2</i> mutation

2014· article· en· W2051222858 on OpenAlexafffundvenue
Michaela Cada, Irene Lara‐Corrales, Yigal Dror, Stephen Feanny, Vy Hong-Diep Kim, Eyal Grunebaum

Bibliographic record

VenueLymphoSign Journal · 2014
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmunodeficiency and Autoimmune Disorders
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
FundersHospital for Sick ChildrenUniversity of Toronto
KeywordsMonocytosisMedicineGATA2ImmunologyMyeloidEosinophiliaMutationHaematopoiesisBiologyBone marrowStem cellGenetics

Abstract

fetched live from OpenAlex

GATA2-associated disorders include: (i) monocytopenia with mycobacterial infections (MonoMAC); (ii) dendritic cell, monocyte, B and NK lymphoid deficiency; (iii) familial myelodysplastic syndrome (MDS) and acute myeloid leukemia; and (iv) congenital deafness with lower limb lymphedema deficiency (Emberger syndrome). Markedly reduced or absent monocytes have been considered as the hallmark of the disease. Here we report on a patient that presented in infancy with hearing loss and lymphedema. By 4 years of age the patient developed acne, disseminated warts, lymphadenopathy, and MDS, yet with increased monocyte as well as normal NK- and B-cell numbers. The patient was found to have a novel mutation in GATA2 that was predicted to disrupt the C-terminal zinc finger. Importantly, and in contrast to common concepts, GATA2-associated syndromes might present with monocytosis. Statement of novelty: We describe a novel mutation in GATA2 associated with monocytosis.

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)0.001
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
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 head0.189
Teacher spread0.183 · 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

Citations3
Published2014
Admission routes3
Has abstractyes

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