Common Heritable Immunological Variations Revealed in Genetically Diverse Inbred Mouse Strains of the Collaborative Cross
Bibliographic record
Abstract
Variations in the proportion and number of specific immune cell types among healthy individuals are influenced by both heritable and nonheritable factors. Mouse models, subjected to fewer nonheritable factors than humans, allow the identification of genetic factors that shape the immune system. We characterized immunological trait variability in the Collaborative Cross (CC), a powerful genetic resource of recombinant inbred mouse strains derived from eight diverse founder strains. Of the 18 immunological traits studied in more than 60 CC strains, eight showed genome-wide significant linkage, revealing new genetic loci linked to specific immune traits. We also found that these traits were highly subject to heritable influences. As for humans, mouse immunological traits varied as a continuum rather than as discrete immunophenotypes. The CC thus represents a useful resource to identify factors that determine immunological variations, as well as defining other immune traits likely to be heritable in humans.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".