Association Analysis Reveals Genetic Variation Altering Bleomycin-Induced Pulmonary Fibrosis in Mice
Bibliographic record
Abstract
Pulmonary fibrosis is a disease of significant morbidity, with an incompletely defined genetic basis. Here, we combine linkage and association studies to identify genetic variations associated with pulmonary fibrosis in mice. Mice were treated with bleomycin by osmotic minipump, and pulmonary fibrosis was histologically assessed 6 weeks later. Fibrosis was mapped in C57BL6/J (fibrosis-susceptible) × A/J (fibrosis-resistant) F2 mice, and the major identified linkage intervals were evaluated in consomic mice. Genome-wide and linkage-interval genes were assessed for their association with fibrosis, using phenotypic data from 23 inbred strains and the murine single-nucleotide polymorphism map. Susceptibility to pulmonary fibrosis mapped to a locus on chromosome 17, which was verified with consomic mice, and to three additional suggestive loci that may interact with alleles on chromosome 17 to affect the trait in F2 mice. Two of the loci, including the region on chromosome 17, are homologous to previously mapped loci of human idiopathic fibrosis. Of the 23 phenotyped murine strains, four developed significant fibrosis, and the majority presented minimal disease. Genome-wide and linkage region-specific association studies revealed 11 pulmonary expressed genes (including the autophagy gene Cep55, and Masp2, which is a complement component) to contain polymorphisms significantly associated with bleomycin-induced fibrotic lung disease. In conclusion, genomic approaches were used to identify linkage intervals and specific genetic variations associated with pulmonary fibrosis in mice. The common loci and similarities in phenotype suggest these findings to be of relevance to clinical pulmonary fibrosis.
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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 | 0.001 |
| 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) | 0.001 | 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".