Joint Effects of Alcohol Consumption and <i>ABCG2</i> Q141K on Chronic Tophaceous Gout Risk
Bibliographic record
Abstract
OBJECTIVE: To investigate the joint effects of alcohol consumption and ABCG2 gene variants on tophaceous gout occurrence. METHODS: The V12M (rs2231137), Q126X (rs72552713), and Q141K (rs2231142) of the ABCG2 gene were genotyped among controls, nontophaceous, and tophaceous gout cases in Taiwanese Han (n=446, 77, 177) and Taiwan Aborigines (n=1105, 203, 330). RESULTS: The missense variations V12M (C) and Q141K (T) significantly associated with tophaceous gout (p trend=4.08×10(-2), 9.00×10(-12) in Han; 1.81×10(-3), 9.34×10(-10) in Aborigines). The nonsense variation Q126X (T) exerted a significant effect only in Han (p=1.10×10(-2)), but not in Aborigines. In the prediction of tophaceous gout, the Q141K (T) OR were 1.51 in Han, 1.50 in Aborigines, and 1.55 (p=7.84×10(-5)) in pooled analysis when compared to nontophaceous gout. We found the joint effects of alcohol consumption and Q141K (T/T) highly associated with tophaceous gout (adjusted OR≥5.11; p≤7.78×10(-4)); specifically the ever drinkers carrying the Q141K (T/T; adjusted OR 25.05, p=9.21×10(-4) in Han; adjusted OR 14.87, p=1.08×10(-8) in Aborigines). CONCLUSION: Our findings showed alcohol consumption and ABCG2 Q141K, independently and jointly, associated with the risk of chronic tophaceous gout.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".