Susceptibility Genes for Rapid Decline of Lung Function in the Lung Health Study
Bibliographic record
Abstract
The genes that contribute to the genetic susceptibility to chronic obstructive pulmonary disease (COPD) remain largely unknown. We hypothesized that widely divergent rates of decline in lung function in smokers would be a robust phenotype for detection of genes that contribute to COPD severity. We selected 283 rapid decliners (deltaFEV1 = -154 +/- 3 ml/yr) and 308 nondecliners (deltaFEV1 = +15 +/- 2 ml/yr) from among smokers followed for 5 yr in the NHLBI Lung Health Study. Rapid decline of FEV1 was associated with the MZ genotype of the alpha1-antitrypsin gene (odds ratio [OR] = 2.8, p = 0.03). This association was stronger for a combination of a family history of COPD with MZ (OR = 9.7, p = 0.03). These data suggest that the MZ genotype results in an increased rate of decline in lung function and interacts with other familial factors. Haplotype frequencies of the microsomal epoxide hydrolase (mEH) gene were significantly different between rapid decliners and nondecliners (p = 0.03). A combination of a family history of COPD with homozygosity for the His113/His139 mEH haplotype was also associated with rapid decline of lung function (OR = 4.9, p = 0.04). The alpha1-antitrypsin S and 3' polymorphisms, vitamin D-binding protein isoforms, and tumor necrosis factor (TNF-alpha G-308A and TNF-beta A252G) polymorphisms were not associated with rate of decline of lung function.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".