X-inactivation–based clonality analysis and quantitative JAK2V617F assessment reveal a strong association between clonality and JAK2V617F in PV but not ET/MMM, and identifies a subset of JAK2V617F-negative ET and MMM patients with clonal hematopoiesis
Bibliographic record
Abstract
The JAK2V617F mutation is present in most patients with polycythemia vera (PV) and in some patients with essential thrombocythemia (ET) and myeloid metaplasia/myelofibrosis (MMM). We sought to investigate the relationship between granulocyte clonality and JAK2V617F allelic ratio. A total of 168 of 190 female patients were informative for a clonality assay at the HUMARA locus; 80% of MMM, 75% of PV, and 67% of ET patients demonstrated clonal granulopoiesis. The JAK2V617F allele was detected by quantitative real-time polymerase chain reaction (PCR) in 99% of PV, 72% of ET, and 39% of MMM. A correlation between clonality and JAK2V617F allelic ratio was demonstrated for PV (P < .001) but not for ET or MMM (both P > .6). These data suggest that acquisition of the JAK2V617F mutation may be sufficient for the development of PV, but additional genetic events are necessary in ET and MMM. In addition, some ET and MMM patients with clonal granulopoiesis have somatic mutations other than JAK2V617F.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".