Allele *1 of HS1.2 Enhancer Associates with Selective IgA Deficiency and IgM Concentration
Bibliographic record
Abstract
Selective IgA deficiency (IGAD) is the most common primary immunodeficiency, yet its pathogenesis is elusive. The IG (heavy) H chain human 3' Regulatory Region harbors three enhancers and has an important role in Ig synthesis. HS1.2 is the only polymorphic enhancer of the 3' RRs. We therefore evaluated HS1.2 allelic frequencies in 88 IGAD patients and 101 controls. Our data show that IGAD patients have a highly significant increase of homozygousity of the allele *1 (39% in the IGAD patients and 15% in controls), with an increase of 2.6-fold. Allele *4 has a similar trend of allele *2, both showing a significant decrease of frequency in IGAD. No relationship was observed between allele *1 frequencies and serum levels of IgG. However, allele *1 was associated in IGAD patients with relatively low IgM levels (within the 30th lowest percentile of patients). The HS1.2 polymorphism influences Ig seric production, but not IgG switch, in fact 30th lowest or highest percentile of IgG in patients did not associate to different frequencies of HS1.2 alleles. The control on normal healthy subjects did not correlate high or low levels of IgM or IgG with HS1.2 allelic frequence variation. Overall our candidate gene approach confirms that the study of polymorphisms in human diseases is a valid tool to investigate the function of these Regulatory Regions that confers multiple immune features.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".