High Heritability of Antimycobacterial Immunity in an Area of Hyperendemicity for Tuberculosis Disease
Bibliographic record
Abstract
Human antimycobacterial immunity is a critical component of tuberculosis (TB) pathogenesis that is often used to infer the presence of TB infection. We report high heritability (>50%) for in vitro secretion of tumor necrosis factor alpha and interferon gamma (IFN-gamma), and the frequency of antigen-specific IFN-gamma(+)CD4(+) and IFN-gamma(+)CD8(+) cells in the response of whole blood to mycobacterial challenge. In principal component analysis, the first 3 components explain 78% of the overall variance consistent with the effect of pleiotropic regulatory genes of human antimycobacterial immunity. These results directly demonstrate the pivotal role played by host genetics in quantitative measures of antimycobacterial immunity underlying immune diagnosis of TB infection.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".