Interactions Between Polygenic Pleiotropy and Air Pollution in the Pathogenesis of Atopic Dermatitis
Bibliographic record
Abstract
Abstract: Background: The polygenic risk score (PRS) for atopic dermatitis (AD) shows promise for early intervention. In addition, air pollution has been linked to AD. Objective: This study aims to investigate the combined effects of PRS and air pollutants on the onset of AD in the Asian population. Methods: This case-control study recruited AD patients from Taiwan Precision Medicine Initiative. Logistic regression analyzed the AD risk associated with air pollution and PRS. Results: The study enrolled 1453 patients with AD. PGS002677 yielded the highest odds ratio (OR) for AD onset [OR 1.270, 95% confidence interval (CI): 1.096–1.472, P = 0.002]. Individuals in the highest PRS quartile who were exposed to low levels of particulate matter 2.5 µm (PM 2.5 ) for 5 years (OR 1.273, 95% CI: 1.014–1.597, P = 0.038) and 10 years (OR 1.296, 95% CI: 1.031–1.628, P = 0.026). In contrast, exposure to high levels of nitrogen dioxide (NO 2 ) for 1 year was associated with a higher risk of AD (OR 1.282, 95% CI: 1.025–1.603, P = 0.030). Conclusions: Air pollution, particularly PM 2.5 and NO 2 , may interact with genetic background and act as a risk factor contributing to the onset of AD.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".