Polymorphisms in the <i>IL13</i> , <i>IL13RA1</i> , and <i>IL4RA</i> Genes and Rate of Decline in Lung Function in Smokers
Bibliographic record
Abstract
Targeted expression of interleukin (IL)-13 in the adult murine lung has been shown to cause emphysema. We hypothesized that variants in the IL13, IL13RA1, and IL4RA genes would be associated with an accelerated rate of decline of lung function among smokers. We determined the allele frequencies of five polymorphisms in the IL13, IL13RA1, and IL4RA genes in 588 continuing smokers chosen from the NHLBI Lung Health Study for having the fastest (n = 282) and slowest (n = 306) 5-yr rate of decline of lung function (mean change in FEV(1) %predicted/yr = -4.1 and +1.1, respectively). The IL4RA 551RR genotype was associated with rapid decline of lung function (odds ratio, 2.24; P = 0.043). However, none of the other four polymorphisms was associated with rate of decline in lung function. The association of 551RR with rapid decline of lung function became more significant in subjects who also had either the IL13 130RR or -1112TT genotypes. However, because multiple comparisons were made and only a few individuals had the 551RR genotype, these associations may represent type 1 error. Haplotypes consisting of alleles from the IL13 polymorphisms or from the IL4RA polymorphisms were not associated with rate of decline in lung function in smokers.
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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 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".