On investigation of markers that may influence alloantibody responses to HPA‐1a
Bibliographic record
Abstract
In > 99% of cases, HPA‐1a antibody production during pregnancy is associated with maternal DRB3*0101 positivity. However, only 35% of HPA‐1a neg/DRB3*0101 women produce antibodies (Ab). This study attempted to identify additional genetic marker(s) that may better predict anti‐HPA‐1a production in these women. Seventy‐eight DRB3*0101 pos HPA‐1a neg, women (40 HPA‐1a Ab pos, 38 Ab neg) with HPA‐1a pos infants, were typed for HLA‐DRB1*, ‐B3*, ‐B4*, ‐B5*. Results were compared with those from 83 DRB3*0101 pos normal donors. SNaPshot™ was used to test for a polymorphism of the TNF‐α locus. The frequency of DRB1*15 was significantly lower in Ab pos mothers (1/40) compared to controls (16/83; P = 0·03), but not compared to Ab neg mothers (6/38; P = 0·07). DRB1*12 was found only in Ab neg mothers (5/38) (controls 0/83; P = 0·02). A study of TNF‐α genotype ( n = 30, Ab pos; Ab neg; controls) found no difference between the mothers' groups, or mothers and controls. Presence of DRB1*15 or DRB1*12 may lower the likelihood of HPA‐1a Ab production. Raised frequency of DRB4* was seen in mothers with affected neonates (13/22) (unaffected, Ab pos 3/11; P = 0·02). DRB4* may increase the odds of HPA‐1a alloimmunization. Three NAITP cases due to anti‐HPA‐1a have been reported (2 local, 1 published), involving mothers DRB3*0101 neg, but DRB4* pos. TNF‐α genotype may not predict anti‐HPA‐1a production in these women. Studies with larger groups would establish the value of these markers in defining women at high risk of HPA‐1a alloimmunization.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.009 | 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".