Association of genetic variations in the<i>CSF2</i>and<i>CSF3</i>genes with lung function in smoking-induced COPD
Bibliographic record
Abstract
Granulocyte-macrophage colony-stimulating factor (CSF), also known as CSF2, and granulocyte CSF, also known as CSF3, are important survival and proliferation factors for neutrophils and macrophages. The objective of the present study was to determine whether single nucleotide polymorphisms (SNPs) of CSF2 and CSF3 are associated with lung function in smoking-induced chronic obstructive pulmonary disease. In total, five SNPs of CSF2 and CSF3 were studied in 587 non-Hispanic white subjects with the fastest (n = 281) or the slowest (n = 306) decline of lung function selected from among continuous smokers in the National Heart, Lung, and Blood Institute Lung Health Study (LHS). These SNPs were also studied in 1,074 non-Hispanic white subjects with the lowest (n = 536) or the highest (n = 538) baseline lung function at the beginning of the LHS. An increase in the number of CSF3 -1719T alleles was significantly associated with protection against low lung function (odds ratio 0.73, 95% confidence interval 0.56-0.95), and was still significant after adjustment for multiple comparisons. There was also a significant association of a CSF3 haplotype with baseline levels of forced expiratory volume in one second. No association was found for CSF2 SNPs and lung function, nor was there evidence of epistasis. In conclusion, genetic variation in colony-stimulating factor 3 is associated with cross-sectionally measured 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 | 0.000 | 0.001 |
| 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 | 0.000 | 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".