The Association with the −159C/T Polymorphism in the Promoter Region of the CD14 Gene and Juvenile Idiopathic Arthritis in a Chinese Han Population
Bibliographic record
Abstract
OBJECTIVE: Juvenile idiopathic arthritis (JIA) is generally considered to be caused by interaction of genetic and environmental factors. We investigated the association of a C-to-T transition in the promoter region of the CD14 gene on chromosome 5q31.1 and JIA in a Chinese Han population. METHODS: One hundred sixty-three children with JIA and 281 healthy children (age- and sex-matched to JIA group) were studied. Polymerase chain reaction-restriction fragment-length polymorphism (PCR-RFLP) was used for analysis of the genotypes. (Trial registration number ChiCTR-CCC-00000312.) RESULTS: CD14 promoter-159 genotype frequencies of CC, CT, and TT were 11.48%, 49.18%, and 39.34%, respectively, in the systemic onset JIA group; 21.62%, 43.24%, and 35.14%, in the polyarticular JIA group; 16.67%, 50%, and 33.33%, in the oligoarticular JIA group; 6.9%, 75.86%, and 17.24%, in the group with other types of JIA; and 37.01%, 46.98%, and 16.01%, in the control group. Genotype frequency and allele frequency distribution were in accord with Hardy-Weinberg equilibrium. There were statistically significant differences in frequencies of genotype and allele in CD14 C-159T polymorphism between JIA group and control group (genotype: chi-squared = 33.168, p < 0.05, CT vs CC, OR 2.946, 95% CI 1.739-4.990; TT vs CC, OR 5.426, 95% CI 2.977-9.891. Allele: chi-squared = 33.168, p < 0.05, T vs C, OR 2.251, 95% CI 1.704-2.973). The T allele frequencies of boys and girls were significantly higher than those in the control group (p < 0.001 of both). CONCLUSION: CD14 gene promoter C-159T polymorphism is significantly correlated with JIA in the Chinese Han population. The T allele of the C-159T polymorphism of CD14 gene may be a genetic risk factor for JIA.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".